Secondments

RISE_BPM's Innovation and Staff Exchange will be documentend in terms of secondments. They will be presented and archived within this section. 

2019-04-17–2019-04-19: Wirtschaftsuniversität Wien (WU) to University of Liechtenstein (UNI-LI)

Bastian Wurm

Researcher: Bastian Wurm

Researcher Category: Early stage researcher
Goal of the stay:

Organizations and individuals leave an abundance of digital trace data. These data are a rich asset for researchers and practitioners alike, who can this information to theorize about and improve business processes. In our research, we investigate how process mining can serve as an analytic device for theory development.


Work package addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2019-04-15–2019-04-18: University of Liechtenstein (UNI-LI) to University of Erlangen-Nuremberg (FAU)

Michael Kamm

Researcher: Michael Kamm

Researcher Category: Early stage researcher
Goal of the stay:

Machine and plant installers have always been fighting with a strong competition and especially in high wage countries had to stand out with a unique selling proposition. Early, these companies added value to their core business by offering additional services, such as support or specific knowledge. To describe this phenomenon, Vandermerwe and Rada (1988) were the first to use the term “Servitization”. With this concept, service science research wants to cause an understanding for the need of services of manufacturing companies and their positive impact on the business model. As the description of a target state isn’t enough, there was a need for methods to develop such services systematically. This opened the door for various research disciplines, amongst which “Service Engineering” stood out as a more application-oriented, top-down development process, using methods and models of (construction, software,…) engineering disciplines (Beverungen et al. 2018). With the emerge of Big Data Analytics in the recent years, Servitization is experiencing a second spring. Different than before, companies have the chance to not only offer simple support services but to enhance the user experience significantly. This enables disruptive business models (Maull et al. 2014). Services like e.g. monitoring, optimization, remote control, and autonomous adaption are possible (Beverungen et al. 2017b). To differentiate these new services, which use Big Data Analytics to offer a new value proposition, from the classical services addressed by Servitization, a new nomenclature occurred: “Smart Service” (Beverungen et al. 2017a). Similar to Servitization, Smart Service describes “what?” these new services look like, while the procedure to develop Smart Services called “Smart Service Engineering” is required to answer the question “how?” to develop these services (Thomas et al. 2017). While current research mostly transfers and slightly amplifies the methods of Service Engineering to develop Smart Services, the practical implementation often fail to be successful (Pezzotta et al. 2013). It seems, that a purely top-down approach towards Smart Services isn’t appropriate. On this behalf, there is a small but growing research field focused on developing Big Data Analytics systems from the data perspective, called “Datafication” (Lycett 2013). The starting point of most Datafication methods is a set of available data from which benefit potentials are derived in a bottom-up process. While the advantage is a high-quality product foundation for a service, the business aspect comes too short. In the end, a meaningful Smart Service Engineering method for manufacturing companies has to connect both worlds. The objective of my stay in Brisbane is to examine the relationship between Servitization and Big Data Analytics. With these insights, Design Principles for a Smart Service Engineering method with the focus on manufacturing companies should be defined as a basis for the development of a later Smart Services Engineering process model.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2019-04-01–2019-04-30: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Saimir Bala

Researcher: Saimir Bala

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/bala/en
Goal of the stay:

Software development projects are highly complex in nature. These projects include, among other
aspects, the execution of an overall software development process. In practice, various project
management approaches exist that guide the managers during the development of software projects.
However, in order to meet quality, time and budget limits objectives, the software project needs to
be monitored. In other words, managers need to gain transparency on what is the actual software
development process being followed by team members. In particular, managers want to know the
actual versus planned progress, what are the resources that actively participate in the work, whether
resource-occupancy is high, what are actual tasks performed by the different organizational roles,
what are typical patterns of work that lead to specific outcomes, etc. A starting point for analysis is
the empirical evidence given from the historical evolution of artifacts (e.g., files, documentation,
etc). Therefore, there is the need for approaches that are able to extract process knowledge from the
artifacts produced and stored in software repositories. However, these data do not come in a format
that is ready to be analyzed by process mining approaches. Hence, techniques that are able to
extract the software process from these repositories are needed. The goal of this stay is to continue
our effort into extracting a dataset of pull requests form GitHub repositories that adhere to user
defined quality standards.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP7: Synthesis of IT Artefacts – BPM Modelling (Phase 2), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2019-03-24–2019-03-30: Wirtschaftsuniversität Wien (WU) to University of Liechtenstein (UNI-LI)

Bastian Wurm

Researcher: Bastian Wurm

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/bala/en
Goal of the stay:

Organizations and individuals leave an abundance of digital trace data. These data are a rich asset for researchers and practitioners alike, who can this information to theorize about and improve business processes. In our research, we investigate how process mining can serve as an analytic device for theory development.


Work package addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2019-03-20–2019-04-30: Westfälische Wilhelms-Universität Münster (WWU) to Queensland University of Technology (QUT)

Elena Gorbacheva

Researcher: Elena Gorbacheva

Researcher Category: Experienced researcher < 10 years
Website: https://www.wi.uni-muenster.de/department/groups/is/people/elena-gorbacheva
Goal of the stay:

During my research stay at the Queensland University of Technology, I will collaborate with Dr. Wasana Bandara on joint projects in the area of Enterprise Business Process Management (E-BPM). Together with Dr. Bandara we will cumulate a collection of E-BPM case studies. I will then complete the background research to identify the relevant ‘lenses’ to explore within the collected case studies the topic of BPM benefits realisation. A practitioner paper is foreseen as an outcome of this work.


Work package addressed: WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2)

2019-03-15–2019-04-25: Westfälische Wilhelms-Universität Münster (WWU) to University of Melbourne (UNIMELB)

Armin Stein

Researcher: Armin Stein

Researcher Category: Managerial staff
Website: http://erc.is/p/armin.stein
Goal of the stay:

This is my first managerial stay at the University of Melbourne (UoM), which was included at a later stage of the RISE_BPM project. The reason for the late inclusion was that Prof. Marcello La Rosa moved from the Queensland University of Technology (QUT) in Brisbane – our initial Australian project partner – to the UoM, and by this provided new opportunities for expanding our RISE_BPM research network. Similar to the QUT, the UoM has a strong group of Information Systems researchers, also specifically in the Business Process Management (BPM) field.

Marcello’s research is focused more on the analytical part of BPM. The goal of the stay is therefore to exploit additional potential research fields for the future for all partners, also for those that are work on a more managerial level. As the project draws to a close, I hope to carry the findings beyond the project runtime.

Aside from the research topics, I would also like to exploit potential stays beyond the project runtime, specifically for Early Stage Researchers, to gain valuable experiences while working with local senior researchers. Finally, I would like to get in touch with the international relations staff to find means for student exchange on undergraduate and graduate levels.


Work package addressed: WP10: Project Management

2019-03-13–2019-04-25: Westfälische Wilhelms-Universität Münster (WWU) to University of Melbourne (UNIMELB)

Nadine Ogonek

Researcher: Nadine Ogonek

Researcher Category: Early stage researcher
Website: http://www.erc.is
Goal of the stay:

Governments are becoming ever more digital and connected. Traditionally seen, though, this development does not come very natural, since the public sector has a longstanding history of analog practices and thus finds itself in a transformation phase that comes along with completely new processes and the reorganisation of work. Public servants are the ones in charge of implementing this digital transformation, needing to master those new exigencies, which is why they need to have a new competence set that fits the exigencies induced by the digitalisation. During my stay at the University of Melbourne, I will be mainly collaborating with Prof. Kathleen Gray and her colleagues, who are doing research on health informatics. We are planning to do joint research on the competence exigencies of the public workforce in the eHealth sector, which will be an expansion of my research to the health sector.


Work packages addressed: WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2), WP10: Project Management, WP11: Communication and Dissemination Management

2019-03-12–2019-04-12: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Steven Groß

Researcher: Steven Groß

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/gross-steven/
Goal of the stay:

Methods are of fundamental importance for information systems (IS) research, yet research that approaches IS methods from a process perspective is limited. We intend to develop a theoretical framework for studying methods as processes and propose a research procedure that is grounded in sequence analysis. We want to find out how methods are applied in research and practice, when and why methods are modified, why there are deviations from proposed and applied methods, and how methods evolve over time. In order to answer this research questions, we plan to conduct interviews with practitioners that made use of business process improvement methods.

Outcome

The main outcome of the intended stay in Brazil would be a theory on how methods are used and how conducting method steps can explain its success.


Work package addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2019-03-09–2019-04-12: Westfälische Wilhelms-Universität Münster (WWU) to Queensland University of Technology (QUT)

Sebastian Halsbenning

Researcher: Sebastian Halsbenning

Researcher Category: Early stage researcher
Website: https://www.wi.uni-muenster.de
Goal of the stay:

Nowadays citizens, as well as companies, expect modern public administrations. This includes, of course, a broad offer of digital services. Whereas these features are already part of common e-government strategies, current research and practice go beyond a simple provision of digital services by public entities on their own. A first step is the establishment of One-Stop-Shops (OSS) to reduce the burden for applicants to look for correct responsibilities since an OSS functions as a single point of contact to all government entities. Further development efforts lead to an even more ambitious concept of proactive service delivery. Proactivity in government entities has the potential to change dramatically the historical image of public bodies as the typical need for applications to receive a special public service becomes superfluous. In practice, some governments already deliver services proactively, which is, for instance, the case with the Austrian family allowance. The financial administration in Austria pays the allowance completely automatic without the need for an application. This obviously results in shorter and condensed processes.

Following the economic and process perspective, proactive service delivery is desirable for both, citizens and public entities. Therefore, the goal of a citizen-centric administration must be the offer of more proactive services, which is institutionalized in a No-Stop-Shop. This is the step beyond an OSS because there is no need to contact a government entity at all. Nevertheless, proactive service delivery needs a high stock of knowledge and data to provide services correctly and to the right time. Consequently, public administrations need a tool to evaluate, whether to change a specific service or product towards proactivity or not.

This secondment aims at the development of such a tool and, additionally, the first steps to evaluate it will be undertaken.


Work packages addressed: WP7: Synthesis of IT Artefacts – BPM Modelling (Phase 2), WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2019-03-07–2019-04-10: Wirtschaftsuniversität Wien (WU) to Pohang University of Science and Technology (POSTECH)

Anton Yeshchenko

Researcher: Anton Yeshchenko

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/yeshchenko-anton/
Goal of the stay:

BPM is the field of study that promotes the outlook on the businesses from the processual prospective and process mining is the attempt to understand the processes from data. During the stay, we aim to establish collaboration for the research on the topic of business process predictions. Our aim is to use the data from enterprise resource planning systems to develop techniques for prediction of future process KPIs, in explainable manner that allows process analyst to understand and act prior any of the future events happened.


Work package addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2019-03-07–2019-04-11: Wirtschaftsuniversität Wien (WU) to Pohang University of Science and Technology (POSTECH)

Alessio Cecconi

Researcher: Alessio Cecconi

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/cecconi-alessio/
Goal of the stay:

The blockchain is one of the most prominent game changers of this technological era. Its
application in the business process field is leading to unprecedented evolution possibilities. This
decentralized trustful technology allows for new business models and interactions between
companies without third trusted parties. Nevertheless, the implementation and execution of
processes in the blockchain, guaranteeing intuitiveness and security, is an engineering challenge by
its own. The goal of this secondment is to explore together new research questions regarding
business process modelling, implementation and analysis within the blockchain. The different views
and agendas of our respective teams can be the fertile ground of new ideas and joint research.


Work package addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2019-03-03–2019-04-03: Westfälische Wilhelms-Universität Münster (WWU) to Pohang University of Science and Technology (POSTECH)

Ute Paukstadt

Researcher: Ute Paukstadt

Researcher Category: Early stage researcher
Website: http://www.erc.is/p/ute.paukstadt
Goal of the stay:

Digitalization is diffusing into the physical world by equipping physical products with sensors, connectivity, and data analytics. Building on these smart products, new digital services emerge, i.e. smart service which promise new data-driven values for customers and businesses. In the energy sector the corresponding phenomenon is called smart energy products and services.

Despite its promising nature, the design of smart energy services is challenging. One challenge is due to the nature of smart energy services which always require a smart product. Furthermore, smart energy products often require additional supporting services such as installation and financing. Complexity is also rising as smart energy servcies are an emerging phenomenon that continuously adds new capabilities to the service design space.

As a result, there are a plethora of options to design smart energy offerings. Since there is also little knowledge on the capabilities and features of smart energy services, I aim to explore existing service designs for smart energy services.


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP7: Synthesis of IT Artefacts – BPM Modelling (Phase 2)

2019-02-27–2019-04-15: Westfälische Wilhelms-Universität Münster (WWU) to Queensland University of Technology (QUT)

Ann-Kristin Cordes

Researcher: Ann-Kristin Cordes

Researcher Category: Experienced researcher
Website: https://www.wi.uni-muenster.de/de/institut/is/personen/ann-kristin-cordes
Goal of the stay:

During the secondment, I will cooperate to achieve a couple of objectives. First, we want to continue our work from my last secondment in 2018. The developed framework will be extended. This will result in writing a joint journal publication. Second, we will discuss and develop a research agenda how we can further extend and evaluate the framework and how we can collaborate in the future. Third, it is planned to reinforce the cooperation with our Australian partners, also with regards to a joint PhD program. 


Work package addressed: WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2)

2019-02-22–2019-03-22: University of Erlangen-Nuremberg (FAU) to Pohang University of Science and Technology (POSTECH)

Matthias Stierle

Researcher: Matthias Stierle

Researcher Category: Early stage researcher
Website: https://www.is.rw.fau.de/ueber-uns/person/wissenschaftliche-mitarbeiter/matthias-stierle/
Goal of the stay:

Information systems have enabled organizations to run their processes digitally. With the capabilities of Process Mining business processes can easily be assessed from a holistic perspective. Typical performance indicators are throughput times, idle times, which activities are executed and how often, who is involved in process execution. Having gained these insights the question that naturally arises is “How do we use this information to improve our process?”. One popular approach for making processes faster, decrease costs and increase throughput is process automation. Currently, RPA (Robotic Process Automation) is a technology highly discussed in industry and has been proposed as a trending research topic. RPA vendors promise the automation of recurring human tasks with the help of their software. Companies engaging in such automation endeavors are asking the question of “How do we know where or what to automate in our process?” This suggests the existence of potential synergistic effects between process automation and process analysis.

The goal of this secondment is to identify performance indicators that are suitable for assessing the automatability of business process activities and that can be calculated from an event log.


Work package addressed: WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2019-02-04–2019-03-07: University of Erlangen-Nuremberg (FAU) to Queensland University of Technology (QUT)

Emanuel Marx

Researcher: Emanuel Marx

Researcher Category: Early stage researcher
Website: https://www.is.rw.fau.de/ueber-uns/person/wissenschaftliche-mitarbeiter/emanuel-marx/
Goal of the stay:

Machine and plant installers have always been fighting with a strong competition and especially in high wage countries had to stand out with a unique selling proposition. Early, these companies added value to their core business by offering additional services, such as support or specific knowledge. To describe this phenomenon, Vandermerwe and Rada (1988) were the first to use the term “Servitization”. With this concept, service science research wants to cause an understanding for the need of services of manufacturing companies and their positive impact on the business model. As the description of a target state isn’t enough, there was a need for methods to develop such services systematically. This opened the door for various research disciplines, amongst which “Service Engineering” stood out as a more application-oriented, top-down development process, using methods and models of (construction, software,…) engineering disciplines (Beverungen et al. 2018). With the emerge of Big Data Analytics in the recent years, Servitization is experiencing a second spring. Different than before, companies have the chance to not only offer simple support services but to enhance the user experience significantly. This enables disruptive business models (Maull et al. 2014). Services like e.g. monitoring, optimization, remote control, and autonomous adaption are possible (Beverungen et al. 2017b). To differentiate these new services, which use Big Data Analytics to offer a new value proposition, from the classical services addressed by Servitization, a new nomenclature occurred: “Smart Service” (Beverungen et al. 2017a). Similar to Servitization, Smart Service describes “what?” these new services look like, while the procedure to develop Smart Services called “Smart Service Engineering” is required to answer the question “how?” to develop these services (Thomas et al. 2017). While current research mostly transfers and slightly amplifies the methods of Service Engineering to develop Smart Services, the practical implementation often fail to be successful (Pezzotta et al. 2013). It seems, that a purely top-down approach towards Smart Services isn’t appropriate. On this behalf, there is a small but growing research field focused on developing Big Data Analytics systems from the data perspective, called “Datafication” (Lycett 2013). The starting point of most Datafication methods is a set of available data from which benefit potentials are derived in a bottom-up process. While the advantage is a high-quality product foundation for a service, the business aspect comes too short. In the end, a meaningful Smart Service Engineering method for manufacturing companies has to connect both worlds. The objective of my stay in Brisbane is to examine the relationship between Servitization and Big Data Analytics. With these insights, Design Principles for a Smart Service Engineering method with the focus on manufacturing companies should be defined as a basis for the development of a later Smart Services Engineering process model.


Work packages addressed: WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2019-02-01–2019-03-12: University of Paderborn (UPB) to University of Melbourne (UNIMELB)

Daniel Beverungen

Researcher: Daniel Beverungen

Researcher Category: Experienced researcher > 10 years
Website: https://wiwi.uni-paderborn.de/dep3/winfo010/team/prof-dr-daniel-beverungen/
Goal of the stay:

During the secondment, we will cooperate to reach a couple of objectives. First, we are in the process of chairing a research track at the European Conference on Information Systems (ECIS) and a special issue in a co-called top-basket journal – the Information Systems Journal (ISJ) – both of which require to be finalized during the stay in Melbourne. Second, we will be writing an editorial paper for our ISJ Special Issue, in which we will re-conceptualize ‘service systems’ as ‘systems’. Third, we are currently developing a research agenda on Service Science; in this agenda, the planning, implementation, and analysis of Service Processes will play a major role. This initiative is carried out in cooperation among the University of Paderborn, University of Melbourne, and Queensland University of Technology (and other partners outside the RISE_BPM consortium). Fourth, I will present recent research results from our project on repurposing electric vehicle batteries (EVBs) to faculty at the School of Engineering at the University of Melbourne. Fifth, we will broaden and deepen our personal and institutional ties to start additional research projects (RISE_Smart Service) and joint administrative initiatives.We will implement a couple of objectives during the secondment. First, we are in the process of chairing a research track at the European Conference on Information Systems (ECIS) and a special issue in a co-called top-basket journal – the Information Systems Journal (ISJ) – both of which require to be finalized during the stay in Melbourne. Second, we will be writing an editorial paper for our ISJ Special Issue, in which we will re-conceptualize ‘service systems’ as ‘systems’. Third, we are currently developing a research agenda on Service Science; in this agenda, the planning, implementation, and analysis of Service Processes will play a major role. Fourth, I will present recent research results from our project on repurposing electric vehicle batteries (EVBs) to faculty at the School of Engineering at the University of Melbourne. Fifth, we will broaden and deepen our personal and institutional ties to start additional research projects (RISE_Smart Service) and joint administrative initiatives.


Work package addressed: WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2)

2019-01-30–2019-04-01: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Lasse von Lojewski

Researcher: Lasse von Lojewski

Researcher Category: Early stage researcher
Website: http://erc.is/p/lvl
Goal of the stay:

Retailers' cooperatives belong to the most apparent legal forms of retailers in both Germany and Brazil. For decades, they thrived in their respective domains without the necessity to change their strategic goals and business-DNA. With the emerge of the internet and, especially, e-commerce, this oasis is suddenly disappearing. While internet-born retailers like Amazon and large companies like Walmart increase their marketshare, retailers' cooperatives often lack a well-rounded e-commerce strategy due to their unique composition and organizational structure.

The integration of both individual and corporate-wide webshops into the business process strategy of retailers' cooperatives is the overall topic of this secondment. We want to identify how business process management can help retailers' cooperatives to close the online-gap between them and other retailers by analyzing current e-commerce strategies and their fit to the overall idea and culture of retailers' cooperatives.


Work package addressed: WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2)

2019-01-26–2019-03-03: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Florian Fahrenbach

Researcher: Florian Fahrenbach

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/fahrenbach-florian/
Goal of the stay:

Assessing and recognizing knowledge, skills and competences of individuals may help them to compete the shortage of skilled labour by valuing their prior experience. While policy frameworks for the validation of prior learning are in place in most of the European countries, we currently lack specific methods to put the validation of prior learning into practice. For now, the validation of prior learning is a labour-intensive task and has to be done by qualified assessors, which need to be trained in order to guide candidates through the process. It takes weeks or even months to conduct a validation procedure and requires highly qualified (and thus expensive) assessors to guide the respective candidates through the process before they can show their qualifications to employers. During this stay, we aim at developing and refining a text mining algorithm to investigate how competences can be extracted from curricula vitae and narratives. We aim at contributing to the body of knowledge as we show that the validation of prior learning can be supported using new technologies. In this regard, the research question of this stay is: How can we validate a professional competence model for the assessment of competences?


Work package addressed: WP7: Synthesis of IT Artefacts – BPM Modelling (Phase 2)

2019-01-22–2019-03-23: Westfälische Wilhelms-Universität Münster (WWU) to Queensland University of Technology (QUT)

Benjamin Barann

Researcher: Benjamin Barann

Researcher Category: Early stage researcher
Website: https://www.wi.uni-muenster.de/de/institut/is/personen/benjamin-barann
Goal of the stay:
  • Topic: The Impact of Digitalized Customer Touchpoint on Stationary Retailers
  • Motivation: The topic of customer touchpoint integration is quite novel. Only channel integration as a whole has been considered by research. Furthermore, most of the retailers are still struggling to fully implement it. Thus, Lemon & Verhoef (2016) motivated further research in this area by asking which models can enable companies to reach seamless touchpoint integration across the purchase journey. Indeed, a single channel comprises out of many different touchpoints. Examples of such touchpoints in a retail store could be the sushi/meat counter, price and discount signs, check-out points, shop employees… Especially smart retail technologies, which incorporates IoT technologies such as sensors and actuators, drive the integration of these brand-owned touchpoints. Therefore, I’m collaboratively elaborating the concept of customer touchpoint integration from a theoretical and practical perspective with the QUT. The overarching research question is: How does the digitalization of customer touchpoints affect customer journey processes, retail processes, and the retail business model. The overall research goal of this endeavor is to advance the understanding of digital customer touchpoints to support retailers’ decisions regarding their digitalization. In previous research, which I partly conducted with the QUT, I managed to synthesize conceptual knowledge on the customer touchpoint. Now, my goal is to generate a new theoretical perspective on digital touchpoints, which explains a conflict present in existing works on the different channel management approaches. One aspect might the utilization of data derived from digital touchpoints to explain/manage/mitigate the identified conflict.
  • Possible RISE_BPM Mappings:
    • WP 2: To cooperate with [a] company […][to discuss] sensors and actuators added to their physical [touchpoints] in order to make them ‘smart’, i.e. eligible to share data with other smart devices [(i.e. other touchpoints)] and IS
    • WP 3: To investigate the [real-time computing] mechanisms [enabled by touchpoint integration in stationary retail stores] enabling organizations to respond to changes in their [customer journey and retail] processes efficiently and effectively
    • WP 6: To develop [an artifact] that enable [retail] decision makers to evaluate alternative [customer journey/retail] process designs according to the economic value [and the impact on the business model] these designs may generate
    • WP 8: To devise novel formal concepts for [retail / customer journey] process model execution [considering the integration of digital(ized) customer touchpoints in these models
    • WP 9: To define and organize a catalog of well-known analysis operations for data derived from the digital customer touchpoints and describe their impact on customer journey processes, retail processes, and the retail business model.

Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP3: Technological Enablers – Real-time Computing (Phase 1), WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2), WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2019-01-17–2019-02-16: Universidad de Sevilla (USE) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Alfonso E. Marquez-Chamorro

Researcher: Alfonso E. Marquez-Chamorro

Researcher Category: Experienced researcher
Website: https://www.lsi.us.es/personal/pagina_becario.php?id=28
Goal of the stay:

The goal of this secondment is to continue with the research started during my second stay at UNIRIO, in which we have proposed a systematic methodology to identify the context data relevant for the prediction of bussines process indicators in real time. The experimentation to test the cited methodology in two real-life study cases and its application in several predictive algorithms will be developed during the stay.


Work package addressed: WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2019-01-14–2019-03-15: University of Paderborn (UPB) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Christian Bartelheimer

Researcher: Christian Bartelheimer

Researcher Category: Early stage researcher
Website: http://upb.de
Goal of the stay:

The enfolding digitalization transforms individuals, organizations, and the society at an increasing speed and scope. The pervasion of all aspects of life through digital technologies leads to a rising emergence of digital innovations, which are often carried out by process innovations. In consequence of the fact that digitalization is an irreversible trend, which cannot be fully foreseen and, therefore, not be planned, practitioners and researchers struggle to analyze the effects of this ongoing transformation process. Based on prior research, two goals are determined that aim to explore the digitalization of processes in various context. First, drawing on the Paper “Digitalization of Work Systems—An Organizational Routines’ Perspective” presented at the 52nd HICSS 2019, we want to analyze the how digitalization impacts the emergence of (IT-induced) workarounds in organizations. Second, drawing on preliminary results from the design of domain-specific modeling language for high street retail (“Data-driven Customer Journey Mapping in Local High Streets: A Domain-specific Modeling Language”, presented at ICIS 2018) we want to (1) Analyze real customer data collected in a field experiment on how customers behave in high streets and evaluate and adapt the modeling language, and (2) to design and develop software artifacts that support the application of the modeling language.


Work packages addressed: WP5: Analysis of Societal Impact Factors (Phase 1), WP7: Synthesis of IT Artefacts – BPM Modelling (Phase 2), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2019-01-11–2019-02-24: Westfälische Wilhelms-Universität Münster (WWU) to Queensland University of Technology (QUT)

Matthias Carnein

Researcher: Matthias Carnein

Researcher Category: Early stage researcher
Website: https://www.wi.uni-muenster.de/department/statistik/people/matthias-carnein
Goal of the stay:

Today's society produces large amount of data. For example, sensors constantly monitor our every move, social media is ubiquitus and many devices are interconnected. The incredible volume and velocity has outpaced our ability to analyse the data properly. To address this problem, it is necessary to develop data stream mining algorithms that can analyse large volumes of data in real-time with minimal resources. Challenges of data stream mining algorithms are the volume and speed of data as well as its availability, order and format.

The goal of this research project is to investigate new algorithms that are able to process streaming data efficiently and the impact these approaches can have on the underlying business processes. This project therefore addresses Real-Time Computing (WP3) as well as Big Data Technology (WP4) as two major technological enablers of BPM. While recent efforts have produced a number of data stream mining algorithms, it is often difficult to find proper algorithm configurations and adapt them on-the-fly. This project therefore aims to find new ways how to configure data streams mining algorithms automatically.


Work packages addressed: WP3: Technological Enablers – Real-time Computing (Phase 1), WP4: Technological Enablers – Big Data Technology (Phase 1)

2018-12-24–2019-01-14: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Saimir Bala

Researcher: Saimir Bala

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/bala/en
Goal of the stay:

Software development projects are highly complex in nature. These projects include, among other
aspects, the execution of an overall software development process. In practice, various project
management approaches exist that guide the managers during the development of software projects.
However, in order to meet quality, time and budget limits objectives, the software project needs to
be monitored. In other words, managers need to gain transparency on what is the actual software
development process being followed by team members. In particular, managers want to know the
actual versus planned progress, what are the resources that actively participate in the work, whether
resource-occupancy is high, what are actual tasks performed by the different organizational roles,
what are typical patterns of work that lead to specific outcomes, etc. A starting point for analysis is
the empirical evidence given from the historical evolution of artifacts (e.g., files, documentation,
etc). Therefore, there is the need for approaches that are able to extract process knowledge from the
artifacts produced and stored in software repositories. However, these data do not come in a format
that is ready to be analyzed by process mining approaches. Hence, techniques that are able to
extract the software process from these repositories are needed. The goal of this stay is to continue
our effort into extracting a dataset of pull requests form GitHub repositories that adhere to user
defined quality standards.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP7: Synthesis of IT Artefacts – BPM Modelling (Phase 2), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2018-12-03–2018-12-14: Universidade Federal do Estado do Rio de Janeiro (UNIRIO) to University of Erlangen-Nuremberg (FAU)

Kate Revoredo

Researcher: Kate Revoredo

Researcher Category: Experienced researcher
Website: http://lattes.cnpq.br/0814717344017544
Goal of the stay:

The goal of the secondment is to implement an approach based on dynamic bayesian networks for predicting business processes that includes contextual data in the learning. A conference paper with the intermediate results shall be prepared.


Work package addressed: WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2018-11-05–2018-11-16: Universidade Federal do Estado do Rio de Janeiro (UNIRIO) to University of Erlangen-Nuremberg (FAU)

Kate Revoredo

Researcher: Kate Revoredo

Researcher Category: Experienced researcher
Website: http://lattes.cnpq.br/0814717344017544
Goal of the stay:

The goal of the secondment is to implement an approach based on dynamic bayesian networks for predicting business processes that includes contextual data in the learning. A conference paper with the intermediate results shall be prepared.


Work package addressed: WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2018-09-24–2018-10-24: University of Erlangen-Nuremberg (FAU) to University of Liechtenstein (UNI-LI)

Emanuel Marx

Researcher: Emanuel Marx

Researcher Category: Early stage researcher
Website: https://www.is.rw.fau.de/ueber-uns/person/wissenschaftliche-mitarbeiter/emanuel-marx/
Goal of the stay:

Despite the potential of Business Analytics applications for capacity planning, many companies struggle with its implementation. It is not clear why this is so, as the companies should actually be able to use such applications. Goal of the secondement is to identify these problems to enable a further practical-oriented research to the topic. The findings shall be processed and prepared for a publication in a conference paper.


Work packages addressed: WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2018-09-17–2018-10-16: Wirtschaftsuniversität Wien (WU) to University of Melbourne (UNIMELB)

Dina Sayed Bayomie Sobh

Researcher: Dina Sayed Bayomie Sobh

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/bayomie-sobh-dina-sayed/
Goal of the stay:

Process mining is the research field that focuses on analysing and evaluating the process execution.  There are three types of analysis of process mining. The first type, process discovery that mines the event log to discover the process model. The second type, conformance checking that detects the deviations between the executed process instance from the event log and the process model. The third type, process enhancement that recommends improvements of the process model based on the actual process execution in the event log. All the three types require the event log as the primary input, i.e. source of data. 

 

 The quality of the event logs various based on how the process is implemented, and automated. Most IT systems collect and store large amounts of event data. For example, ERP systems store the event data about the process execution, and high-tech systems such as tracking sensors record location events.  One of the critical tasks in such situations is correlating these events to form an event log.

The goal of this secondment is to investigate how to correlate the unstructured events,  and what are the different aspects that assist in correlating the events.


Work package addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2018-09-16–2018-10-01: Wirtschaftsuniversität Wien (WU) to University of Melbourne (UNIMELB)

Alessio Cecconi

Researcher: Alessio Cecconi

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/cecconi-alessio/
Goal of the stay:

Within the process mining area, automated process discover techniques are aimed at reconstructing
a process model given only its execution log. Nevertheless the output of these techniques is usually
a flat model, which does not cover the full spectrum of features of modern process modelling
languages, e.g., BPMN. Because of that, researchers of the host university proposed a technique for
automated discovery of hierarchical BPMN models containing interrupting and non-interrupting
boundary events and activity markers. The goal of the secondment would be to cooperate in order to
enhance even more the automated process discovery technique through the injection of declarative
structures. Given the unpredictable activation nature of boundary events, it follows the intuition of
taking advantage of declarative structures to identify process branches generated by those unusual
or rare events, e.g, exceptions, message catch, signal catch, etc.


Work package addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2018-09-16–2018-10-10: Wirtschaftsuniversität Wien (WU) to University of Melbourne (UNIMELB)

Anton Yeshchenko

Researcher: Anton Yeshchenko

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/yeshchenko-anton/
Goal of the stay:

The goal of the stay will be co combine join expertise of researchers to work on the project entitled “Learning from the good and the bad: Diagnosis and prediction of business process deviances”. This project aims to develop an innovative approach to analyse process execution data logged by IT systems in order to diagnose and predict business process deviance. Anticipated outcomes include novel business intelligence algorithms producing deviance diagnostics, predictions and recommendations and exposing results via interactive visual analytics.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2018-09-15–2018-11-14: Westfälische Wilhelms-Universität Münster (WWU) to Queensland University of Technology (QUT)

Dennis Riehle

Researcher: Dennis Riehle

Researcher Category: Early stage researcher
Website: http://erc.is/p/riehle
Goal of the stay:

Business Process Compliance Management (BPCM) is an integral part of Business Process Management. BPCM is driven by rules, which come from legislation, internal or external policies, domain knowledge or other sources, which need to be followed during process execution. While there is a multiplicity of publications on checking business processes for compliances, e.g., from the field of Process Querying, this work focuses on methods and techniques. The question which rules can be used as in input for such methods remains unanswered. Therefore, the first goal of this secondment is to develop a comprehensive set of compliance patterns, given a legislation for the European Banking sector.

While Business Processes have grown more complex over the last decades, e.g., regarding self-driving cars or automatic content moderation systems, such processes are highly intransparent for customers. Nevertheless, trust in such processes is of high relevance for both the customer and the organization. If trust was mainly a 'hygiene factor' in former days, it is becoming more of an attractor for complex processes. Customers may need to trust a self-driving car more than they trust in their own driving capabilities to accept the new technology. Therefore, the second goal of this secondment is to analyze different types of trust and develop a model how customer trust in new technologies can be fostered.


Work packages addressed: WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2), WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2018-09-11–2018-10-11: Westfälische Wilhelms-Universität Münster (WWU) to University of Melbourne (UNIMELB)

Bettina Distel

Researcher: Bettina Distel

Researcher Category: Early stage researcher
Website: https://www.wi.uni-muenster.de/de/institut/is/personen/bettina-distel
Goal of the stay:

Developing an introductory BPM Online Course for Public Administration Staff

For decades now, business process management (BPM) has been applied to businesses as a method to improve business processes and is today considered as a crucial tool for the business’ success. Lately, BPM has also been adapted to other contexts, e.g. to public administrations, but especially research in this area is mostly dominated by a technological perspective. Less attention has been paid to the human factor, specifically to the skills public administration staff needs to adequately use BPM methods. Commonly, employees of public administrations are trained within the context of political and administrative tasks but not so much in management aspects or technology.

This research project aims i) at studying in how far the public secotr constitutes a context that is considerably different from the private sector with regard to BPM practices and ii) how potential differences should be addressed by BPM training.


Work packages addressed: WP5: Analysis of Societal Impact Factors (Phase 1), WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2)

2018-09-05–2018-10-05: Universidad de Sevilla (USE) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Alfonso E. Marquez-Chamorro

Researcher: Alfonso E. Marquez-Chamorro

Researcher Category: Experienced researcher
Website: https://www.lsi.us.es/personal/pagina_becario.php?id=28
Goal of the stay:

The goal of this secondment is to continue with the research started during my first stay at UNIRIO, in which we evaluate of the influence of the process context information in the predictive monitoring of busines process indicators in real time. In this context, we will propose a systematic procedure for defining the context data which are relevant for prediction. We will also test the application of evolutionary algorithms in predictive business process monitoring.


Work package addressed: WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2018-09-04–2018-10-03: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Nico Clever

Researcher: Nico Clever

Researcher Category: Experienced researcher < 10 years
Website: https://www.wi.uni-muenster.de/department/is/people/nico-clever
Goal of the stay:

During the stay, work shall be conducted on the topic "Design Thinking in Virtual Reality". The idea is to enable the popular Design Thinking (DT) method to be carried out in a virtual environment. Although nowadays work is increasingly done in a distributed way, creativity-intense techniques like Design Thinking often require personal presence. With this project, the possibilities of transferring the Design Thinking method into the Virtual Reality are assessed. Especially, the technical implementation potentials shall be evaluated during the stay. Here, not only the distinct Warm Up-methods of DT, but also the implementation of the later Prototype and Test phases will be investigated.


Work package addressed: WP2: Technological Enablers – Smart Devices (Phase 1)

2018-09-02–2018-09-07: Wirtschaftsuniversität Wien (WU) to University of Melbourne (UNIMELB)

Anton Yeshchenko

Researcher: Anton Yeshchenko

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/yeshchenko-anton/
Goal of the stay:

The goal of the stay will be co combine join expertise of researchers to work on the project entitled “Learning from the good and the bad: Diagnosis and prediction of business process deviances”. This project aims to develop an innovative approach to analyse process execution data logged by IT systems in order to diagnose and predict business process deviance. Anticipated outcomes include novel business intelligence algorithms producing deviance diagnostics, predictions and recommendations and exposing results via interactive visual analytics.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2018-09-02–2018-11-02: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Markus Heuchert

Researcher: Markus Heuchert

Researcher Category: Early stage researcher
Website: https://www.wi.uni-muenster.de/de/institut/is/personen/markus-heuchert
Goal of the stay:

Goals of the secondment are to extend the research on conceptual modeling of omni-channel environments, especially with regard to the touchpoint concept. By taking this approach motivated by system theory, one can apply it on the customer-based touchpoint modeling and thereby create a new and better means for describing omni-channel environments. 

 


Work packages addressed: WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2), WP7: Synthesis of IT Artefacts – BPM Modelling (Phase 2)

2018-08-23–2018-10-13: Wirtschaftsuniversität Wien (WU) to University of Melbourne (UNIMELB)

Claudio Di Ciccio

Researcher: Claudio Di Ciccio

Researcher Category: Experienced researcher
Website: http://www.wu.ac.at/infobiz/team/diciccio/en/
Goal of the stay:

The declarative modelling of business processes is based upon the specification of behavioural rules that constrain the work-flows enactment. Those constraints specify the conditions that require or forbid the execution of activities. To date, multiple languages have been introduced that specify the behavioural relations which hold true within classical, imperative process models. Behavioural relations mainly consist in mutual execution bindings between pairs of activities. The perspective of behavioural relations and declarative process model languages are thus conceptually overlapping. The aim of the cooperative research endeavour is to build upon the results of the cooperation held in Queensland University of Technology to analyse to what extent they can be translated into one another, study in depth their expressive power, and apply imperative and declarative techniques to process mining in synergy. In our work, formal and practical aspects will be investigated.


Work packages addressed: WP7: Synthesis of IT Artefacts – BPM Modelling (Phase 2), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2018-08-15–2018-10-31: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Saimir Bala

Researcher: Saimir Bala

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/bala/en
Goal of the stay:

Software development projects are highly complex in nature. These projects include, among other
aspects, the execution of an overall software development process. In practice, various project
management approaches exist that guide the managers during the development of software projects.
However, in order to meet quality, time and budget limits objectives, the software project needs to
be monitored. In other words, managers need to gain transparency on what is the actual software
development process being followed by team members. In particular, managers want to know the
actual versus planned progress, what are the resources that actively participate in the work, whether
resource-occupancy is high, what are actual tasks performed by the different organizational roles,
what are typical patterns of work that lead to specific outcomes, etc. A starting point for analysis is
the empirical evidence given from the historical evolution of artifacts (e.g., files, documentation,
etc). Therefore, there is the need for approaches that are able to extract process knowledge from the
artifacts produced and stored in software repositories. However, these data do not come in a format
that is ready to be analyzed by process mining approaches. Hence, techniques that are able to
extract the software process from these repositories are needed. The goal of this stay is to merge
exiting skills software repositories analysis from the group of WU Vienna and skills in discovering
knowledge-intensive processes from the group of UNIRIO in order to obtain a novel approach for
discovering knowledge about the software development process.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2018-08-09–2018-09-07: Wirtschaftsuniversität Wien (WU) to University of Melbourne (UNIMELB)

Alessio Cecconi

Researcher: Alessio Cecconi

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/cecconi-alessio/
Goal of the stay:

Within the process mining area, automated process discover techniques are aimed at reconstructing
a process model given only its execution log. Nevertheless the output of these techniques is usually
a flat model, which does not cover the full spectrum of features of modern process modelling
languages, e.g., BPMN. Because of that, researchers of the host university proposed a technique for
automated discovery of hierarchical BPMN models containing interrupting and non-interrupting
boundary events and activity markers. The goal of the secondment would be to cooperate in order to
enhance even more the automated process discovery technique through the injection of declarative
structures. Given the unpredictable activation nature of boundary events, it follows the intuition of
taking advantage of declarative structures to identify process branches generated by those unusual
or rare events, e.g, exceptions, message catch, signal catch, etc.


Work package addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2018-08-03–2018-10-06: Westfälische Wilhelms-Universität Münster (WWU) to Queensland University of Technology (QUT)

Ann-Kristin Cordes

Researcher: Ann-Kristin Cordes

Researcher Category: Experienced researcher
Website: https://www.wi.uni-muenster.de/de/institut/is/personen/ann-kristin-cordes
Goal of the stay:

In industry the organizations usually carry out problem-driven innovations. In contrast to problem-driven innovations, opportunity-driven innovations can be performed. Therefore, it is necessary to spot external opportunities and it is needed to have a high level of awareness for opportunities. Unfortunately, organizations are not aware of this. Hence, a lack of awareness is existing. That means an unconscious incompetence is present in the organizations. In order to measure suchlike unconscious incompetence in organization, the aim of this research stay is to develop a framework for measuring unconscious incompetence in an organizational setting.


Work packages addressed: WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2), WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2018-07-30–2018-08-31: Wirtschaftsuniversität Wien (WU) to Queensland University of Technology (QUT)

Bastian Wurm

Researcher: Bastian Wurm

Researcher Category: Early stage researcher
Website: https://www.wi.uni-muenster.de/de/institut/is/personen/ann-kristin-cordes
Goal of the stay:

Increased competition and growing customer demands have forced organizations to constantly seek techniques to provide high quality individualize services/ products. Individualization comes with increased costs, as it requires different business process variants to be designed, implemented, managed and maintained. Invariably, there is a stable link between the individualization of flow units (i.e. products and services) and necessary process adaptation; the more diverse customer needs a company wants to address, the more process variants are required. Because this is an expensive and difficult undertaking, many companies refrain from competing via process individualization, and try to obtain a competitive advantage by increasing the efficiency of their existing standard business process. During this secondment, we set out to develop a conceptual model for process individualization in the digital age. This model shall help companies to determine new and efficient ways to offer individualized products and services to their clients. 


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2018-07-30–2018-09-01: Wirtschaftsuniversität Wien (WU) to Queensland University of Technology (QUT)

Steven Groß

Researcher: Steven Groß

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/gross-steven/
Goal of the stay:

The study is about the adoption of Robotic Process Automation (RPA). RPA is a technology used to automate process tasks that would otherwise be performed manually, or by customizing existing IT systems. RPA has become an instrumental technology in enabling businesses to grow more successfully. Its demand is projected to significantly increase within the next few years. However, the cost of implementing RPA is much higher than the cost of the technology itself. The agility of the RPA development process along with the quality of the organizational set-up are key elements in delivering on-time and in-budget ROI.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2018-07-30–2018-09-30: University of Erlangen-Nuremberg (FAU) to Queensland University of Technology (QUT)

Tobias Pauli

Researcher: Tobias Pauli

Researcher Category: Early stage researcher
Website: https://www.is.rw.fau.de/ueber-uns/person/wissenschaftliche-mitarbeiter/tobias-pauli/
Goal of the stay:

The introduction of smart machines and devices as boundary objects in service systems leads to increasing interdependencies of business processes and business models of the actors involved in the process of value creation. The goal of the secondment therefore is to create an overview of existing methods and tools to design and develop business models and the underlying business processes and identify shortcomings with regard to dynamic interdependencies in service ecosystems.


Work package addressed: WP2: Technological Enablers – Smart Devices (Phase 1)

2018-07-24–2018-10-19: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Jens Brunk

Researcher: Jens Brunk

Researcher Category: Early stage researcher
Website: http://erc.is/p/brunk
Goal of the stay:

Predictive process monitoring is emerging as a technique to predict and act upon the outcome of a running business process instance. It might be used to advance current businesses by enabling better decision making. Together with the colleagus of UNIRIO we will touch upon our previous work in the area and intend to extend existing predictive methods, such that they will also be able to include contextual information (machine status, weather data, ...). Until this point, most process mining and monitoring techniques focus only on the log data that is generated by the underlying information system. However, analysis and prediction accuracy can be greatly improved when additional information, such as the context, is included.

Furthermore, a second goal of the stay will be to evaluate data and text mining techniques and datasets in the context of natural language processing. Through the automatic evaluation of user generated content on discussion spaces of websites, website moderators will be supported in managing the big amount of content that users generate.


Work packages addressed: WP3: Technological Enablers – Real-time Computing (Phase 1), WP4: Technological Enablers – Big Data Technology (Phase 1), WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2018-07-20–2018-09-19: Westfälische Wilhelms-Universität Münster (WWU) to Queensland University of Technology (QUT)

Friedrich Chasin

Researcher: Friedrich Chasin

Researcher Category: Early stage researcher
Website: http://erc.is/p/chasin
Goal of the stay:

The goal of the stay is twofold. First, the previous work on Business Models that are enabled by Business Processes in the domain of Sharing Economy has to be continued. Accordingly, the insights from the publication on "Repainting the Business Model Canvas for Peer-to-Peer Sharing and Collaborative Consumption" has to be extended by validating the model against existing businesses in the domain. A set of over 300 Peer-to-Peer Sharing and Collaborative Consumption (P2P SCC) businesses was identified prior to the secondment to represent potential candidates for the validation. A particular focus of the validation is on whether the model can capture the incumbents' creation of positive network effects. Second, driven by the marriage of the research interests of the QUT and the WWU, the goal is to deepen the understanding of the business processes within trusted and responsible organisations.


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2), WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2018-07-20–2018-08-03: Wirtschaftsuniversität Wien (WU) to University of Liechtenstein (UNI-LI)

Thomas Grisold

Researcher: Thomas Grisold

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/infobiz/team/thomas-grisold/
Goal of the stay:

Organizational unlearning refers to processes where old knowledge is discarded because it is no longer needed. While the concept is attracting increasing interest in the organizational studies, there are a number of blind spots and open questions. One of them refers to the epistemological implications of unlearning, that is, what kinds of knowledge are subject to such processes. Within my secondment, I approached this topic from different perspectives. On the one hand, I explored if/to what extent the concept can be applied to IS-research. On the other hand, I evaluated the results of a study where I interviewed change consultants about interventions and factors that play a role in processes where organizations should not draw on obsolete or hindering knowledge anymore.


Work packages addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2), WP10: Project Management

2018-07-19–2018-09-18: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Hendrik Scholta

Researcher: Hendrik Scholta

Researcher Category: Early stage researcher
Website: http://www.erc.is/p/hendrik.scholta
Goal of the stay:

Many operations on process models such as model merge and model matching rely on the calculation of similarities between activities. In order to calculate the similarity between process model activities, dedicated similarity metrics can be used. We at the University of Münster developed such a similarity metric that is tailored to the specifics of domain-specific business process modeling languages. The colleagues at the University of Rio de Janeiro run a project on process model matching focusing mainly on wording and graph embeddings. Furthermore, the group also evaluates the matching of real processes of public organizations. The aim of the stay is to further develop and evaluate the similarity metric in the course of the process model matching project.


Work package addressed: WP7: Synthesis of IT Artefacts – BPM Modelling (Phase 2)

2018-07-17–2018-08-22: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Florian Fahrenbach

Researcher: Florian Fahrenbach

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/fahrenbach-florian/
Goal of the stay:

The European Union emphasizes a competence based vocational education and encourages memvber states to align their curricula to the European Qualifiaction Framework via qualification standards. However, we currently lack a suitable method to extract and identify common competences from different occupations which are obliged to adapt their qualifications to the European Qualifiaction Framework and different National Qualification Frameworks. Automated text mining may play a significant role as the data within each qualification standard is highly standardized and structured. Text mining has been used to analyze standardized texts, such as patents, job offers or within  people management. In this regard, the research question is: “How can text mining be used to extract competences from qualification standards, adhering to the EQF? In this work, possibilities and constraints of text mining using data from qualification standards will be explored and if possible, tested.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2018-07-16–2018-08-15: Westfälische Wilhelms-Universität Münster (WWU) to Pohang University of Science and Technology (POSTECH)

Armin Stein

Researcher: Armin Stein

Researcher Category: Managerial staff
Website: http://erc.is/p/armin.stein
Goal of the stay:

During my managerial stay at the Pohang University of Science and Technology I would like to elaborate together with Minseok Song how we can leverage the very good relations of POSTECH to industry for our future work. Especially POSCO, after Samsung and Hyundai the third-largest industry in the Republic of Korea, is a perfect playground for data analysis, process analysis, and corporate analysis in general.

Additionally, I would like to elaborate on the future exchange possibilities for both grad students and PhD students within the RISE_BPM consortium.


Work package addressed: WP10: Project Management

2018-07-16–2018-08-15: Westfälische Wilhelms-Universität Münster (WWU) to Pohang University of Science and Technology (POSTECH)

Elena Gorbacheva

Researcher: Elena Gorbacheva

Researcher Category: Experienced researcher < 10 years
Website: https://www.wi.uni-muenster.de/department/groups/is/people/elena-gorbacheva
Goal of the stay:

The goal of my research stay at the Pohang University of Science and Technology (POSTECH) is to initiate a new stream of research between POSTECH and the University of Muenster (WWU) on the application of the blockchain technology to processes in the healthcare sector. Together with the researchers from the Analytics & Information Management Lab at POSTECH during my stay it is intended to conduct a review of academic studies, as well as to analyse extant white papers in this field. Based on the results of this analysis, it is intended to provide recommendations for utilising the blockchain technology for processes in the healthcare sector in Korea.


Work packages addressed: WP4: Technological Enablers – Big Data Technology (Phase 1), WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2018-07-16–2018-08-15: University of Erlangen-Nuremberg (FAU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Matthias Stierle

Researcher: Matthias Stierle

Researcher Category: Early stage researcher
Website: https://www.is.rw.fau.de/ueber-uns/person/wissenschaftliche-mitarbeiter/matthias-stierle/
Goal of the stay:

The goal of the secondment is to implement an approach based on dynamic bayesian networks for predicting business processes that includes contextual data in the learning. A conference paper with the intermediate results shall be prepared.


Work package addressed: WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2018-07-01–2018-09-30: University of Paderborn (UPB) to University of Liechtenstein (UNI-LI)

Verena Wolf

Researcher: Verena Wolf

Researcher Category: Early stage researcher
Website: https://wiwi.uni-paderborn.de/dep3/winfo010/team/
Goal of the stay:

The accelerating emergence and ongoing advancement of (digital) technologies transform the life and work of individuals fundamentally. Through the increasing internal and external interconnectedness of organizations as well as the availability of innovative digital technologies, the way how employees perform their daily tasks and work routines are changing. Organizational routines are not stable and mindless patterns of behavior; they are generative and continuously emerging systems with internal dynamics that are performed by multiple actors.

In the view of micro-dynamics, routines exist of ostensive and performative aspects. The ostensive aspects are the abstract pattern of actions, whereas the performative aspects are the specific instances of action, actors, time, and place. Routines exhibit a high degree of performance variation; i.e., each iteration of the routine differs from the previous cycle. However, there can also be a misalignment between ostensive and performative aspects that affect daily work. Existing literature points out that misalignment can be solved by workarounds, resistance, unfaithful appropriation, sabotage, etc. Especially workarounds are often used by individuals to continue daily work despite impediments. Workarounds can be seen as an opportunity to take the initiative for developing or deploying creative tactics and solutions in daily work, to overcome organizational and technological shortcomings. Creativity is seen as a necessary precondition for successful innovation, which is often a fundamental part of business organizations. However, there is little known about how workarounds can lead to innovations through internal dynamics of organization routines.

Hence, the stay at the University of Liechtenstein shall support this research project by identifying:

(1)    the reasons for a perceived misalignment in an organizational routine,

(2)    how workarounds create drift, which leads to a longitudinal change, and

(3)    the (digital) innovation potential stemming from creative acts of workarounds.


Work packages addressed: WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2), WP7: Synthesis of IT Artefacts – BPM Modelling (Phase 2), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2), WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2018-04-27–2018-06-01: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Anton Yeshchenko

Researcher: Anton Yeshchenko

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/yeshchenko-anton/
Goal of the stay:

Predictive process monitoring is emerging as a technique to predict and act upon the outcome of a running business process instance. It might be used to advance current businesses by enabling better decision making. Usually, data about business processes is recorded in enterprise resource planning systems and rarely used afterward, although insights enabled by process mining and predictive monitoring are decisive in bringing more transparency and clarity to business process management.

By including the expertise of the secondment partner responsible for modelling business process contextual information, we aim to advance investigation on new approaches for prediction considering context. Current predictive monitoring approaches suffer from low performance. Our aim is to further develop techniques for outcome bases predictions overcoming such existing limitations by considering multiple sources of information apart from the business process log itself.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2018-04-17–2018-05-24: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Svitlana Vakulenko

Researcher: Svitlana Vakulenko

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/vakulenko-svitlana/
Goal of the stay:

The goal of the stay is to continue the joint research project started in Vienna and centered around applying process mining techniques for analysing conversation flow. The initial analysis is planned to be completed, documented and submitted as a full paper to the top-tier research conference by the end of the secondment.

Wide adoption of the dialogue systems will lead to the massive increase in the conversational data that can be potentially used for improving the dialogue systems as well as the underlying business processes. Process mining techniques initially designed for analyzing structured event logs need to be re-evaluated in the new settings and further adjusted for discovering patterns from conversation logs. We aim to thoroughly evaluate existing process mining approaches and outline requirements for the design of novel approaches for a comprehensive analysis of conversational datasets.

The rise of interest in conversational interfaces motivates further research in understanding the structure and properties of the conversation flow. Conversational data, in a form of textual conversation history or the corresponding voice recordings, constitute naturally occurring digital traces of the real-world processes that can provide evidence of the process dynamics and success factors. Moreover, the widespread usage of conversational interfaces, such as personal assistants and voice control in self-driving cars, demands efficient tools for monitoring, control and evaluation of dialog systems. Producers and customers of such systems require the means to assess the quality of the interaction the system provides as well as the ways to detect and prevent critical failures in the system.

Conversation transcripts constitute an important information asset that help to analyze interaction processes between human participants and with the system in case of a dialog-based interface. The set of relevant questions to the conversational data include: the topic of a conversation (``What the conversation is about?''), the typical structure of a conversation (``How the conversation is happening?''), user satisfaction with the process and the outcome of the interaction (``Is the conversation going well?'', ``Does the dialog agent perform well?'') and the potential for improvement (``Can the process be improved?'').

In the light of the questions to the conversational data stated above we position our main research question: How to extract and analyze interaction processes from conversation transcripts? In this work we aim to design a framework for conversation mining, i.e. extracting a conversation model from a corpus of conversation transcripts. We build upon the recent advances in process modeling and process mining research. We will evaluate the proposed framework on several datasets annotated with dialog acts showing its potential to generalize to various domains.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2018-03-15–2018-04-17: Universidad de Sevilla (USE) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Bedilia Estrada-Torres

Researcher: Bedilia Estrada-Torres

Researcher Category: Early stage researcher
Website: http://www.us.es/acerca/directorio/ppdi/personal_13052
Goal of the stay:

The goal of this secondment is to continue with the research started during her first stay at UNIRIO, in which we identified how PPIs can be defined over Knowledge-intensive Processes (KiPs). In order to expand and improve the first research, we tried to identify and classify decisions involved in a KiP to determine how those decisions can influence the performance of that process.


Work package addressed: WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2018-03-03–2018-04-01: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Ute Paukstadt

Researcher: Ute Paukstadt

Researcher Category: Early stage researcher
Website: http://www.erc.is/p/ute.paukstadt
Goal of the stay:

The energy industry is confronted with many challenges in terms of energy transition and digital transformation. Energy companies need to look for new business opportunities.  In the consumer market Smart Energy technologies such as smart metering and smart home are on the rise, but there is still a lack of adoption. Therefore, the aim of the research is to provide recommendations for the design of smart energy solutions.


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP5: Analysis of Societal Impact Factors (Phase 1), WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2), WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2018-02-26–2018-03-25: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Moritz von Hoffen

Researcher: Moritz von Hoffen

Researcher Category: Experienced researcher
Website: http://erc.is/p/moritz.von.hoffen
Goal of the stay:

Building upon the previous efforts initiated by Jan Betzing,  a concept for leveraging smart devices and alignment with BPM in the context of high street retailing is to be developed.


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2), WP7: Synthesis of IT Artefacts – BPM Modelling (Phase 2)

2018-02-14–2018-03-31: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Jens Brunk

Researcher: Jens Brunk

Researcher Category: Early stage researcher
Website: http://erc.is/p/brunk
Goal of the stay:

A research effort that I am currently working on is containment of abuse and harassment in online communications through artificial intelligence (AI) and machine learning.

When polarizing issues (such as the recent refugee debate or important elections) are discussed online, platform providers are increasingly forced to disable the commenting of their posts to prevent the spread of hate or other inappropriate language. This restrictive behavior needs to be stopped to further enable a qualitative and open discourse. However, the amount of user generated content is often too high to handle manually for small and medium sized platform operators. Therefore, we are developing a tool which is supporting platform operators in identifying critical comments using machine learning and AI.

If a platform provider is supported in the moderation of the comments by an AI-based tool, then it is important to clarify whether the user should be informed about this, which information increases his acceptance of the computer-aided moderation and how far this transparency effects his willingness to use the platform.

In joint research with the colleagues from the University of Liechtenstein we will further pursue this topic by evaluating how the process of AI driven automated comment moderation (e.g. in Social Media) should be designed and communicated to ensure user acceptance of the system.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP4: Technological Enablers – Big Data Technology (Phase 1), WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2018-02-14–2018-03-31: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Dennis Riehle

Researcher: Dennis Riehle

Researcher Category: Early stage researcher
Website: http://erc.is/p/riehle
Goal of the stay:

Process Analytics plays an important role in Business Process Management. A special field of process analytics is the analysis of process models regardings process weaknesses, compliance violations or potential bottlenecks. In literature, there are several approaches which differ significantly in their functionality, application and complexity. Part if my secondment at the University of Liechtenstein is to compare and constrast different approaches, focusing on approaches being either based on graph theory or on temporal logic. Results will enable researchers to better understand these technologies and, in the future, specify catalogues of patterns which can be used for process analysis by practitioners.


Work packages addressed: WP7: Synthesis of IT Artefacts – BPM Modelling (Phase 2), WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2018-02-04–2018-03-11: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Nadine Ogonek

Researcher: Nadine Ogonek

Researcher Category: Early stage researcher
Website: http://www.erc.is
Goal of the stay:

The primary goal of this stay is to streamline the processes of project coordination and to disseminate the project. Furthermore, I would also like to look for research opportunities with our partners on topics of (e-Government) education.


Work packages addressed: WP5: Analysis of Societal Impact Factors (Phase 1), WP10: Project Management, WP11: Communication and Dissemination Management

2018-02-04–2018-02-08: Wirtschaftsuniversität Wien (WU) to University of Liechtenstein (UNI-LI)

Jan Mendling

Researcher: Jan Mendling

Researcher Category: Experienced researcher > 10 years
Website: http://www.wu.ac.at/infobiz/team/mendling/en/
Goal of the stay:

The goal of this research stay is to investigate business process management as a key enabler of digitalization. Towards this end, we will discuss ontological perspectives of digital objects and the impact of digitalization on various industries. Furthermore, we will investigate the potential of applying techniques from process mining for theory building and theory validation.


Work package addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2018-02-04–2018-03-11: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Armin Stein

Researcher: Armin Stein

Researcher Category: Managerial staff
Website: http://erc.is/p/armin.stein
Goal of the stay:

The goals of this secondment to the University of Liechtenstein are twofold. On the one hand, I will visit Liechtenstein as project manager, on the other hand, I plan some research in the context of virtual reality.

As project manager, I would like to elaborate with the heads of the department how we can proceed beyond the project runtime, involving the University of Liechtenstein in European projects. Furthermore, I would like to elaborate on additional staff exchange possibilities as well as teaching collaborations.

With Alexander Simons, I would like to discuss about a potential research endeavour regarding the applicability of virtual reality in the BPM environment. If successful, we will pursue this idea during the upcoming year together.


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2), WP10: Project Management

2018-01-29–2018-04-15: Universidad de Sevilla (USE) to Queensland University of Technology (QUT)

Rafael Corchuelo

Researcher: Rafael Corchuelo

Researcher Category: Experienced researcher > 10 years
Website: http://www.tdg-seville.info/corchu/Home
Goal of the stay:

GOAL OF THE STAY:

The goal is within the context of the 9th Work Package on Synthesis of IT Artefacts – BPM Analysis.  Current organisations need high quality data to feed their business processes.  The Web is currently the largest data repository of the Humanity.  Unfortunately, many of the data that it provides is in human friendly formats, which makes it very difficult for software agents to understand them.  The advent of the Web of Data has obviously helped, but there are still many data rich sites that do not provide them in formats other than HTML documents without any semantics.  Information extractors are software components that are intended to read such documents and extract structured data from them.  There are currently several approaches to devising such components. Unfortunately, there is not a standard methodology to validate them; validation is even more challenging at big scale because supervision does not make sense in such a setting.    Our goal in this stay is to work with the QUT group on a proposal to address the validation of information extractors at big scale.

 

WORK PLAN:

The stay was scheduled from January 29, 2018 until April 15, 2018.  The work plan includes the following activities: (1) Settling: the goal is to know the workplace, local policies, and introduce himself to the research team with which he is going to collaborate; (2) Seminars and meetings: the goal is to know the research that Laurianne Sitbon and Guido Zuccon are leading at the Queensland University of Technology and to disseminate the research that the applicant is carrying out. During these seminars and meetings both will discuss the corresponding issues and exchange ideas in order to find common goals so as to prepare a joint publication; (3) Development: the applicant will design, implement and experiment with new techniques that meet the common goals settled in the previous stage; (4) Preparing a manuscript: it will include a revision of the work done. (5) Conclusions and future collaboration: we will review the work that have been done, the ongoing work and will agree on new goals to keep future collaboration.   The ultimate goal is to publish the results in a good conference/journal, but this obviously will be developed after the stay.


Work package addressed: WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2018-01-07–2018-02-09: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Cristina Cabanillas

Researcher: Cristina Cabanillas

Researcher Category: Experienced researcher
Website: https://www.wu.ac.at/en/infobiz/
Goal of the stay:

"Flexible resource allocation in business processes"

Several researchers from INIRIO involved in the RISE-BPM project have addressed the investigation of the concept of context in (knowledge-intensive) business processes as well as the development of context-aware planning mechanisms. At WU, we are doing research on resource allocation in decision-intensive business processes. The goal of this secondment is to investigate how the context can affect resource allocation in business processes and design a solution for a more flexible and adaptable resource allocation that takes into consideration a changing organizational context.


Work package addressed: WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2017-12-01–2018-04-15: Universidad de Sevilla (USE) to Queensland University of Technology (QUT)

Patricia Jiménez

Researcher: Patricia Jiménez

Researcher Category: Experienced researcher
Website: https://investigacion.us.es/sisius/sis_showpub.php?idpers=18678
Goal of the stay:

The goals of this secondment are framed in the context of the WP9: Synthesis of IT Artefacts – BPM Analysis. In today's dynamic environment all organizations need up-to-date data for their activities that are based on business processes. With the advent of the Web, there exist a huge amount of data universally accessible and that might be extracted by web information extractors. However, data themselves are not powerful; it is transforming them into information and inferring knowledge by using Business Intelligence techniques what makes them valuable. Thus, a necessity for developing big data management tools has arisen, in order to extract, validate, analyse and seize data for the companies to make profits from them.

Our focus is on developing new IT artefacts to automatically analyse and validate data at Big-scale so as to improve the quality of their presentation. The data come from automatic processes that extract information from either semi-structured or free text documents. Thus, new artefacts might seize these data to endow them with semantics, transforming them into information that can be consumed by automated business processes that analyse that information and exploit it in an intelligent way. The final goal is that the inferring knowledge can be preserved and enriches the organization valuable for the decision-making process.

Working Plan

Our work planning consists of five stages that will be developed during our four-month and a half research stay, starting in December 1st, 2017 until April 15th, 2018: (1) settling, in which the applicant will get to know the workplace, local policies, and introduce herself to the research team with which she is going to collaborate; (II) seminars and meetings, where the goal is to get to know the research that Laurianne Sitbon and Guido Zuccon are leading at the Queensland University of Technology and to disseminate the research that the applicant is carrying out. During these seminars and meetings both will discuss the corresponding issues and exchange ideas in order to find common goals so as to prepare a joint publication. (This stage will overlap other stages in the working plan) (III) development, where the applicant will design, implement and experiment with new techniques that meet the common goals settled in the previous stage, (IV) Preparing the manuscript, which includes a revision of the work done and the writing of the publication in which both groups have been collaborating, (V) conclusions and future collaboration, where we revise the work that have been done, the ongoing work and put in common new goals to keep future collaboration. 

Results of the stay

We have sticked to the plan and we have developed a prototype to validate web information extracted by means of an unsupervised record linkage tool so that we can endow with semantics the records efficiently. Next step will be to endow with semantics the information that can be tagged within the records. Currently we are still preparing the manuscript and polishing the motivation and the related work. We are also collecting the big datasets so that we can experiment with the devised tool. Especially we intend to experiment with several configurations in our tool to index and search for data since our colleagues at the qut had developed some utilities that we can seize to speed up the process. Once we get the results of the experimentation, we will complete the experimentation and conclusions sections of the manuscript to submit it to a journal indexed in the JCR.

Work packages addressed: WP09


Work package addressed: WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2017-11-21–2017-12-20: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Friedrich Chasin

Researcher: Friedrich Chasin

Researcher Category: Early stage researcher
Website: http://erc.is/p/chasin
Goal of the stay:

In a world in which the society’s use of technology appears to be both boon and bane in the attempts to combat unsustainable human practices like contributions to environmental pollution, finding solutions to socio-technical problems has never been more relevant. The Information Systems (IS)  research on sustainability has moved into the focus of IS scholars—most notably under the label of Green IS—typically considering social, environmental, and economic dimensions. Notwithstanding the topic’s palpable relevance, there is still a lack of empirical evidence for the actual impact of green information systems artifacts on sustainability at individual, organizational, and market levels. This is perhaps not surprising as operationalizing and measuring sustainability is a key challenge. 

During the secondment, I will complete my previously established colaboration with Stefan Seidel and Jan vom Brocke on a method that enables measuring the impact of green information system artifacts. The method is grounded in systems thinking as a meta-theoretical lens and builds upon knowledge from outside IS on assessing sustainability as well as specific challenges that design-oriented IS research faces when developing Green IS artifacts. The method is situated within the research on the modeling and analysis of BPM. To demonstrate the method, it is applied in the context of measuring sustainability of a crowdsourced IT-enabled service for charging electric vehicles. The method will be evaluated against requirements and by discussing its application in the context of IS publications on sustainability. Through our collaboration and the work, we hope to spur more empirical research on the evaluation of the impact of green IS artifacts.


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP5: Analysis of Societal Impact Factors (Phase 1), WP7: Synthesis of IT Artefacts – BPM Modelling (Phase 2), WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2017-11-15–2017-11-29: Wirtschaftsuniversität Wien (WU) to University of Liechtenstein (UNI-LI)

Thomas Grisold

Researcher: Thomas Grisold

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/infobiz/team/thomas-grisold/
Goal of the stay:

Organizational unlearning refers to attempts where old knowledge is being discarded. ‘Old knowledge’ is a broad term that encompasses different kinds of knowledge. For example, in the context of BPM, organizational routines are processes that are automatized over time, and they emerge from the interplay between IT artifacts and their users. In that regard, they have implicit and explicit components; when unlearning should be successful, both need to be taken into account. However, organizational unlearning research does not provide a holistic and coherent definition that considers different types of knowledge. Some definitions speak of discarding or removing knowledge (pointing to explicit/codified knowledge) while others emphasize that unlearning involves change (which might point to implicit components).

Within my secondment at the University of Liechtenstein, I will approach the unlearning research from an epistemological perspective. I will review existing research to see if/how different kinds of knowledge were considered. Furthermore, I will cluster existing approaches to see if there can be a coherent approach for the question of how unlearning can be realised.

 

Findings can have crucial implications for different fields. For example, insights on how unlearning can be realised in routines, can contribute to BPM and IS-related research.


Work packages addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2), WP10: Project Management

2017-11-14–2017-12-13: Westfälische Wilhelms-Universität Münster (WWU) to Ulsan National Institute of Science and Technology (UNIST)

Nadine Ogonek

Researcher: Nadine Ogonek

Researcher Category: Early stage researcher
Website: http://www.erc.is
Goal of the stay:

The goal of the stay is twofold. First of all, I would like to streamline the processes of project coordination. Furthermore, I would also like to work with our partners on topics of (e-Government) education, especially in the context of distance learning and the creation and successful implementation of MOOCs.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2), WP10: Project Management, WP11: Communication and Dissemination Management

2017-11-10–2017-11-25: Wirtschaftsuniversität Wien (WU) to University of Liechtenstein (UNI-LI)

Jan Mendling

Researcher: Jan Mendling

Researcher Category: Experienced researcher > 10 years
Website: http://www.wu.ac.at/infobiz/team/mendling/en/
Goal of the stay:

The goal of this research stay is to investigate business process management as a key enabler of digitalization. Towards this end, we will discuss ontological perspectives of digital objects and the impact of digitalization on various industries. Furthermore, we will investigate the potential of applying techniques from process mining for theory building and theory validation.


Work package addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2017-11-01–2017-12-13: Wirtschaftsuniversität Wien (WU) to Ulsan National Institute of Science and Technology (UNIST)

Monika Malinova

Researcher: Monika Malinova

Researcher Category: Experienced researcher
Website: https://www.wu.ac.at/en/infobiz/team/malinova/en
Goal of the stay:

The goal of the stay is to collaboratively work on the topic of explorative process innovation. Explorative process innovation typically happens when a new procedure is necessary to support novel services and products brought to the market. In particular, during the stay we will aim in gathering empirical data from South Korean companies with the aim of identifying how processes are being developed.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2017-10-09–2017-11-19: Technische Universiteit Eindhoven (TU/e) to Queensland University of Technology (QUT)

Prabhakar Dixit

Researcher: Prabhakar Dixit

Researcher Category: Early stage researcher
Website: https://www.tue.nl/en/university/departments/mathematics-and-computer-science/the-department/staff/detail/ep/e/d/ep-uid/20151443/
Goal of the stay:

“Detection and Interactive Repair of Event Ordering Imperfection in Process Logs”

 

Process mining uses historical records of process executions, recorded in so-called event logs, to derive insights into business process behaviours and performance. A requirement for any process mining analysis is that event log records can be (correctly) ordered. Because timestamp information is frequently used to order events, it is imperative that timestamp information be of high quality. To the best of my knowledge, no (semi-)automated support exists for detecting and repairing ordering-related imperfection issues in event logs. During the secondment, I would work on techniques to detect timestamp-based indicators of event ordering imperfections which may exist in a log. Furthermore, it is also envisioned to come up with approaches to interactively repair an event log to correct the ordering imperfections, in order to repair the event log, using domain knowledge.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2017-10-07–2017-12-06: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Hendrik Scholta

Researcher: Hendrik Scholta

Researcher Category: Early stage researcher
Website: http://www.erc.is/p/hendrik.scholta
Goal of the stay:

BPM has become increasingly important to public administrations. However, public administrations still have a lot of potential for improvement regarding the progress of their BPM. The colleagues from the University of Liechtenstein have developed an operationalization of what are called the ten principles of good BPM in order to measure how far organizations actually follow general success factors of BPM. To support BPM in public administrations, the goal of this stay is to apply these ten principles to public administrations. Potential outcomes can be differences regarding the relevance and implementation of each principle between private and public organizations, which can lead to guidelines for managers in public administrations. The results of the stay may assist managers and decision makers in public administrations to evaluate their BPM strategy and identify future development steps and directives for their organizations.


Work package addressed: WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2)

2017-09-24–2017-10-11: Wirtschaftsuniversität Wien (WU) to University of Liechtenstein (UNI-LI)

Bastian Wurm

Researcher: Bastian Wurm

Researcher Category: Early stage researcher
Website: http://www.erc.is/p/hendrik.scholta
Goal of the stay:

Process-oriented companies face the dichotomy of process standardization versus process diversity. On the one hand multinational companies try to realize returns of scale by standardization, on the other hand markets require businesses to adapt to local needs and government regulations. Today, there is no empirical framework, which can assist managers and process owners in making this trade-off and find a suitable degree of standardization for their processes. In particular, we observe a lack of research on how to measure the degree of process standardization. Addressing this research gap, we strive for the validation of a measurement scale developed in an earlier study, in order to be able to specifically and directly measure the degree of standardization in business processes. Various application scenarios and future research areas are pointed out.


Work package addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2017-08-18–2017-09-03: Wirtschaftsuniversität Wien (WU) to University of Liechtenstein (UNI-LI)

Bastian Wurm

Researcher: Bastian Wurm

Researcher Category: Early stage researcher
Website: http://www.erc.is/p/hendrik.scholta
Goal of the stay:

Process-oriented companies face the dichotomy of process standardization versus process diversity. On the one hand multinational companies try to realize returns of scale by standardization, on the other hand markets require businesses to adapt to local needs and government regulations. Today, there is no empirical framework, which can assist managers and process owners in making this trade-off and find a suitable degree of standardization for their processes. In particular, we observe a lack of research on how to measure the degree of process standardization. Addressing this research gap, we strive for the validation of a measurement scale developed in an earlier study, in order to be able to specifically and directly measure the degree of standardization in business processes. Various application scenarios and future research areas are pointed out.


Work package addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2017-08-14–2017-08-26: Ulsan National Institute of Science and Technology (UNIST) to Westfälische Wilhelms-Universität Münster (WWU)

Minseok Song

Researcher: Minseok Song

Researcher Category: Experienced researcher > 10 years
Website: http://mssong.postech.ac.kr
Goal of the stay:

The goal of the stay is to wrap up the previous works such as BPM in sharing economy and the analysis of charging transaction data. Furthermore, I would like to investigate potential collaboration topics in the first and second phase of the project. On specifically, the topics of Analysis of Societal Impact Factors and synthesis of IT Artefacts – BPM Analysis will be discussed with the researchers in WWU.


Work packages addressed: WP5: Analysis of Societal Impact Factors (Phase 1), WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2017-07-09–2017-09-15: Wirtschaftsuniversität Wien (WU) to CUPENYA B.V. (CUP)

Svitlana Vakulenko

Researcher: Svitlana Vakulenko

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/vakulenko-svitlana/
Goal of the stay:

The aim of the cooperative research endeavour is to develop efficient and effective approaches for question answering using open data tables.

This kind of data is ubiquitous and continually growing due to various statistical reports produced by national governments on a regular basis and released as open data.

The dominant part of the open data consists of tables in formats such as CSV. Tabular data is difficult to analyze and to search through, yielding for new tools and interfaces that would allow even non tech-savvy users to gain insights from open datasets without resorting to specialized data analysis tools or even without having to fully understand the dataset structure. We evaluate the state-of-the-art deep learning approaches for this task and attempt to scale the implementation to the size of the open data repository containing more than 200,000 tables collected from distributed portals. The main challenge consists in integrating these diverse datasets, bridging the semantic gap and providing a system capable of retrieving relevant information using natural language queries.


Work package addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2017-07-06–2017-09-07: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Saimir Bala

Researcher: Saimir Bala

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/bala/en
Goal of the stay:

The monitoring of project-oriented business processes is difficult because their state is fragmented
and represented by the progress of different documents and artifacts being worked on. This
observation holds in particular for software development projects in which various developers work
on different parts of the software concurrently. Prior contributions in this area have proposed a
plethora of techniques to analyze and visualize the current state of the software artifact as a product.
It is surprising that these techniques are missing to provide insights into what types of work are
conducted at different stages of the project and how hey are dependent upon another. Through this
secondment we want to extend existing work on using times series techniques to analyze software
repositories. Thus, we plan on joining our efforts to thoroughly investigate the theoretical and
practical aspects of applying this new analysis technique to software projects.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2017-07-03–2017-08-17: Technische Universiteit Eindhoven (TU/e) to Queensland University of Technology (QUT)

Sebastiaan Zelst, van

Researcher: Sebastiaan Zelst, van

Researcher Category: Early stage researcher
Website: http://www.win.tue.nl/~svzelst/
Goal of the stay:

Develop techniques that effectively store and process (process oriented) online event data.
In particular we aim at developing stream-to-stream filtering techniques.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2017-06-18–2017-08-16: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Jan Betzing

Researcher: Jan Betzing

Researcher Category: Early stage researcher
Website: http://erc.is/p/betzing
Goal of the stay:

During my stay at the University of Liechtenstein, I would like to network with researchers of the faculty and discuss possible collaborations in the area of personalized digital business processes using mobile location-based services. My research builds upon identified opportunities of smart devices for BPM in general and the EU general data protection regulation (GDPR) in particular.

The EU GDPR  becomes effective in May 2018. It mandates service providers to get an active consent by the user, before personal data can be collected and processed. Consequently, privacy management is a cornerstone of every BPM strategy that involves personalized business processes.

I would like to collaboratively design an online-based experiment with a prototypical IT artifact to investigate, how consumers can make (more) informed consent decisions regarding the sharing of private information such as their location with third-parties on their smartphones. The goal is to design a privacy mechanism that fulfills the EU-requirement of an active consent and also supports users in understanding which information is collected for which purpose. We maintain that transparency and a well-designed onboarding process can lead to more users consenting to the processing of personal data.

From the expected results, I would like to derive design guidelines that informs the BPM strategy of App service providers in regarding the EU-compliant collection of data using the users' smart devices.


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP6: Synthesis of IT Artefacts – BPM Strategy (Phase 2)

2017-06-12–2017-10-11: Westfälische Wilhelms-Universität Münster (WWU) to Queensland University of Technology (QUT)

Benjamin Barann

Researcher: Benjamin Barann

Researcher Category: Early stage researcher
Website: https://www.wi.uni-muenster.de/de/institut/is/personen/benjamin-barann
Goal of the stay:
  • Topic: Digitalization of Customer Touchpoint in Stationary Retail Stores
  • Motivation: The topic of customer touchpoint integration is quite novel. Only channel integration as a whole has been considered by research. Furthermore, most of the retailers are still struggling to fully implement it. Thus, Lemon & Verhoef (2016) motivated further research in this area by asking which models can enable companies to reach seamless touchpoint integration across the purchase journey. However, what makes touchpoint integration different from channel integration? In fact, the existing literature does not provide an unambiguous definition of the various terms connected with these concepts. Besides channel integration, researchers talk about multi-, cross-, and omni-channel integration. To get a better idea of touchpoint integration, it is important to have a close look at these channel management approaches. Indeed, a single channel comprises out of many different touchpoints. Examples for such touchpoints in a retail store could be the sushi/meat counter, price and discount signs, check-out points, shop employees… Especially smart retail technologies, which incorporates IoT technologies such as sensors and actuators, drive the integration of these brand-owned touchpoints. Therefore, I will collaboratively elaborate the concept of brand-owned customer touchpoint integration from a theoretical and practical perspective with a researcher from the QUT and one of their associated retailers. The overarching research question is: How can the customer journey processes be further linked through the integration of brand-owned touchpoints and what is the impact on the retailer?
  • RISE_BPM Mapping:
    • WP 2: To cooperate with [a] company […][to discuss] sensors and actuators added to their physical [touchpoints] in order to make them ‘smart’, i.e. eligible to share data with other smart devices [(i.e. other touchpoints)] and IS
    • WP 3: To investigate the [real-time computing] mechanisms [enabled by touchpoint integration in stationary retail stores] enabling organizations to respond to changes in their [customer journey] processes efficiently and effectively
  • Outlook:
    • WP 6: To provide [an] IT artifact that supports decision makers in developing, reviewing and adjusting [the customer journey] BPM strategy according to specific contextual factors of the organization’s environment
    • WP 9: To design a new IT artifact for the observation, the analysis, and the presentation of process related information that comes from the different customer touchpoints.
    • WP 9: To analyze to what extend the notion of automated and integrated customer touchpoint analysis in retail can be useful for process analytics
    • WP 9: To define and organize a catalog of well-known analysis operations for the integrated customer touch points that can be further combined to solve most of the process analytics tasks.

Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP3: Technological Enablers – Real-time Computing (Phase 1)

2017-05-08–2017-07-06: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Moritz von Hoffen

Researcher: Moritz von Hoffen

Researcher Category: Experienced researcher
Website: http://erc.is/p/moritz.von.hoffen
Goal of the stay:

There are two possible research efforts to be pursued during this secondment:

Working on applications of Semantic Web technologies to be used in peer-to-peer sharing and collaborative consumption (P2P SCC) business applications. Different options include the description of resources, transactions, etc. to be used for efficient matchmaking.

Alternatively, existing work regarding the sentiment analysis of tweets and reviews of Airbnb users can be extended and complemented.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP2: Technological Enablers – Smart Devices (Phase 1)

2017-04-17–2017-05-16: Wirtschaftsuniversität Wien (WU) to CUPENYA B.V. (CUP)

Cristina Cabanillas

Researcher: Cristina Cabanillas

Researcher Category: Experienced researcher
Website: https://www.wu.ac.at/en/infobiz/
Goal of the stay:

In a previous secondment at Cupenya we assessed the business processes, organisational models and resource assignment requirements of a specific domain and developed an extension of the RALph notation for resource assignment in business processes in order to address identified goals. We also implemented an approach for analysing RALph-aware process models aimed at deriving a visibility matrix that takes into account the key performance indicators defined for a process. However, such an approach was developed with a limited scope (i.e., not all RALph constructs were processed) and a limited set of data. The goal of this secondment is thus to further develop the approach and test it with more data in order to broaden its applicability. Furthermore, we aim at compiling the results in the form of a scientific paper to be submitted to a scientific outlet.


Work packages addressed: WP7: Synthesis of IT Artefacts – BPM Modelling (Phase 2), WP9: Synthesis of IT Artefacts – BPM Analysis (Phase 2)

2017-03-28–2017-08-31: University of Liechtenstein (UNI-LI) to Queensland University of Technology (QUT)

Markus Weinmann

Researcher: Markus Weinmann

Researcher Category: Experienced researcher
Website: https://www.uni.li/markus.weinmann
Goal of the stay:

(Online) business processes do guide or even influence users’ behavior and decision making and, thus, nudge them into certain directions (a concept called “digital nudging”). For example, system designers have to decide to let users free choice or preselect options (and if so, where to set the default value). Presenting choices in certain ways – even unintended – can thus nudge people, or change their behavior in a predictable way, without forbidding any options. The goal of the stay is to explore digital nudges to understand how the design of digital (business) processes influences people’s choices. In particular, drawing on findings from behavioral science, I intend to test and evaluate the effectiveness of “digital nudges.”


Work package addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (Phase 2)

2017-02-28–2017-04-29: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Florian Plenter

Researcher: Florian Plenter

Researcher Category: Early stage researcher
Website: http://www.erc.is/p/florian.plenter
Goal of the stay:

Goals of the secondment are to extend the research on P2P SCC business models, especially with regard to possible services being added that are enabled by technology, e.g. smart devices. Possible synergies with the team from UNIRIO are to be discussed: A comparison of process elicitation techniques, applicable to a number of processes for electric vehicle charging that have been elicited within a previous project.


Work package addressed: WP2: Technological Enablers – Smart Devices (Phase 1)

2017-02-15–2017-03-31: Wirtschaftsuniversität Wien (WU) to Queensland University of Technology (QUT)

Thomas Grisold

Researcher: Thomas Grisold

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/infobiz/team/thomas-grisold/
Goal of the stay:

The proposed topic addresses the question of how people can unlearn routines and practices when they are no longer useful or even hindering for an organization. While unlearning has become a promising topic in the literature on organizational learning and knowledge management, the associated benefits of unlearning can be useful for the context of BPM as well (e.g. in the context of people-technology-interaction). However, the concept is under criticism as it does not stand on safe conceptual grounds and within my current research, I aim at finding a new definition of unlearning that is sound and justifiable from a contemporary cognitive scientific perspective. 

The goal of this secondment is to (1) clarify the extend to which unlearning is possible on a behavioral level and (2) find strategies that can facilitate such unlearning processes in the context of business process management.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2017-02-11–2017-03-19: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Armin Stein

Researcher: Armin Stein

Researcher Category: Managerial staff
Website: http://erc.is/p/armin.stein
Goal of the stay:

During my Managerial Stay at University of Liechtenstein, I will mix managerial issues and research issues. Regarding the managerial tasks, I want to work with Bernd Schenk and Nadine Székely on

  • finding ways to connect the ERASMUS+ project BPM_Online with the RISE_BPM project,
  • the BPM Winter School and discuss means to include findings from the RISE_BPM project into the curriculum of the BPM Winter School,
  • presenting the RISE_BPM project and the current coordinator's perspective to the staff members of the University of Liechtenstein,
  • preparing the mid-term review meeting in April.

From a researchers' perspective, although this is not the main task, I want to work with Alexander Simons on future concepts of using Virtual Reality in Business Process Management, which might be one of the game-changing tools in the future.


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP7: Synthesis of IT Artefacts – BPM Modelling (Phase 2), WP10: Project Management, WP11: Communication and Dissemination Management

2017-02-08–2017-03-04: Ulsan National Institute of Science and Technology (UNIST) to University of Liechtenstein (UNI-LI)

Marco Comuzzi

Researcher: Marco Comuzzi

Researcher Category: Experienced researcher > 10 years
Website: https://sites.google.com/site/marcocomuzziphd/home
Goal of the stay:

The goal of this visit is to investigate opportunities for collaboration in the area of prediction of process outcomes. In particular, one of the objectives is to inevstigate how natural language processing can be used to enrich process event logs and enable/enhance prediction or case outcomes from event logs. Moreover, this secondment will also be used to explore other opportunities for colaborations in the longer term between the two involved institutions.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2017-02-06–2017-03-11: Westfälische Wilhelms-Universität Münster (WWU) to Queensland University of Technology (QUT)

Nadine Ogonek

Researcher: Nadine Ogonek

Researcher Category: Early stage researcher
Website: http://www.erc.is
Goal of the stay:

During this managerial stay, I would like to streamline the processes of project coordination and to reinforce the cooperation with our Australian partners, also with regards to the joint PhD program. This also inlcudes parts of the preparation of the upcoming report. Furthermore, I would like to identify opportunities to create and increase the collaboration of the partners with QUT in terms of education by offering, e.g., joint seminars.  Finally, I would also like to work them on topics of e-Government education and to experience their best practices in order to be able to transfer some of their knowledge and experience to Germany.


Work packages addressed: WP10: Project Management, WP11: Communication and Dissemination Management

2017-02-05–2017-03-05: Wirtschaftsuniversität Wien (WU) to University of Liechtenstein (UNI-LI)

Monika Malinova

Researcher: Monika Malinova

Researcher Category: Experienced researcher
Website: https://www.wu.ac.at/en/infobiz/team/malinova/en
Goal of the stay:

The goal of this research stay is to apply the newly developed language for process maps (PLMN) to redesign existing process maps. The potential outcome of this research stay would be a case study where opportunities for refining the process map language would be identified. 


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2017-02-03–2017-02-20: Wirtschaftsuniversität Wien (WU) to University of Liechtenstein (UNI-LI)

Jan Mendling

Researcher: Jan Mendling

Researcher Category: Experienced researcher > 10 years
Website: http://www.wu.ac.at/infobiz/team/mendling/en/
Goal of the stay:

The goal of this research stay is to collaborate on a joint edited book on different case studies of Business Process Management, specifically in novel digital scenarios as envisioned by RISE-BPM. The editors Prof. vom Brocke and Prof. Mendling will discuss the selection and preparation of the candidate cases and the operational steps towards publishing the edited book.

https://www.uni.li/de/alle-veranstaltungen/@@event_detail/49511.67


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2017-02-01–2017-02-03: Universidade Federal do Estado do Rio de Janeiro (UNIRIO) to Wirtschaftsuniversität Wien (WU)

Gleison Santos

Researcher: Gleison Santos

Researcher Category: Experienced researcher
Website: http://lattes.cnpq.br/4616202382103338
Goal of the stay:

The goal of the stay is to network with researchers of the faculty and discuss possiblities of collaboration.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2017-01-16–2017-02-03: Ulsan National Institute of Science and Technology (UNIST) to Universidad de Sevilla (USE)

Minseok Song

Researcher: Minseok Song

Researcher Category: Experienced researcher > 10 years
Website: http://mssong.postech.ac.kr
Goal of the stay:

In this visit we will investigate how process mining techniques can be applied to analyze SLA in real time situation. The main of the secondment is to combine the SLA & BPM-based monitoring platform for the andalusian regional government health care system and a process mining tool. 


Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2017-01-11–2017-03-11: Wirtschaftsuniversität Wien (WU) to Queensland University of Technology (QUT)

Claudio Di Ciccio

Researcher: Claudio Di Ciccio

Researcher Category: Experienced researcher
Website: http://www.wu.ac.at/infobiz/team/diciccio/en/
Goal of the stay:

The declarative modelling of business processes is based upon the specification of behavioural rules that constrain the work-flows enactment. It is meant not to explicitly specify every possible execution path from the beginning to the end: The carry-out of the process is up to the actors, who can vary the execution dynamics as long as they do not violate the constraints imposed by the declarative model. The constraints specify the conditions that require or forbid the execution of activities, either considering them singularly or depending on the occurrence of other ones. In contrast, classical imperative process models are intended to depict all allowed executions for a business process in a single comprehensive model, which encompass each stage of the process execution from the beginning to the end. Nevertheless, languages have been introduced that specify the behavioural relations which hold true within imperative process models. Behavioural relations mainly consist in mutual execution bindings between pairs of activities. The perspective of behavioural relations and declarative process model languages are thus conceptually overlapping. The aim of the cooperative research endeavour is thus to analyse their differences and similarities in terms of their expressive power, study to what extent they can be translated into one another, and what their interdependencies are, with the final objective to bridge the two viewpoints into a single framework. In our work, formal and practical aspects will be investigated.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2017-01-02–2017-02-03: Universidade Federal do Estado do Rio de Janeiro (UNIRIO) to Wirtschaftsuniversität Wien (WU)

Kate Revoredo

Researcher: Kate Revoredo

Researcher Category: Experienced researcher
Website: http://lattes.cnpq.br/0814717344017544
Goal of the stay:

In this secondment, techniques for automatically elicitating process models through stories told by actors of a process will be applied to project mining. It is a continuation of the work started during the secondment of Saimir Bala to UNIRIO, where a first analysis of the application of story mining contributed with some pointers for researches. So, in this secondment the focus will be in the analyse of software development processes  from the perspective of the changes made to the files. For that the log will be analysed considering both strucutred and unstructured data and also the time dependency.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-12-12–2017-01-29: Wirtschaftsuniversität Wien (WU) to Queensland University of Technology (QUT)

Andreas Solti

Researcher: Andreas Solti

Researcher Category: Experienced researcher
Website: http://www.wu.ac.at/infobiz/team/rogge-solti/en/
Goal of the stay:

The relatively young research topic of process mining can benefit from other research disciplines, for example natural language processing (NLP). Semantic relationships between words are more and more understood in NLP, they can potentially be leveraged for process discovery tasks as well. The goal of the stay is to investigate this potential and to apply translational research from the domain of natural language processing to the domain of business process management.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-11-13–2016-11-26: Wirtschaftsuniversität Wien (WU) to University of Liechtenstein (UNI-LI)

Jan Mendling

Researcher: Jan Mendling

Researcher Category: Experienced researcher > 10 years
Website: http://www.wu.ac.at/infobiz/team/mendling/en/
Goal of the stay:

The goal of this research stay is to collaborate on a joint edited book on different case studies of Business Process Management, specifically in novel digital scenarios as envisioned by RISE-BPM. The editors Prof. vom Brocke and Prof. Mendling will discuss the selection and preparation of the candidate cases and the operational steps towards publishing the edited book.

https://www.uni.li/de/alle-veranstaltungen/@@event_detail/49511.67


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-11-07–2016-12-08: Universidad de Sevilla (USE) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Alfonso E. Marquez-Chamorro

Researcher: Alfonso E. Marquez-Chamorro

Researcher Category: Experienced researcher
Website: https://www.lsi.us.es/personal/pagina_becario.php?id=28
Goal of the stay:

The goals of the secondment are framed in the context of the predictive monitoring of business processes. This is is one of the main issues in process mining and aims to provide proactive and corrective actions to improve process performance and mitigate risks. The main value of predictive monitoring of business process is to predict quantifiable metrics of a running process instance with the generation of predictive models. These metrics evaluate the performance of a business process in terms of efficiency and effectiveness, or help to evaluate risks or predict possible SLA violations. According to this context, a main work has been developed between the groups: evaluation of the influence of the process context information in the predictive monitoring of BP indicators in real time. Other two works were planned during this period: a qualitative comparison of the predictive rules achieved by two different approaches of the groups for the prediction of process indicators and a comparison among approaches for context discovery (data-driven and expert-driven).

 


Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2016-11-02–2016-12-02: Technische Universiteit Eindhoven (TU/e) to Queensland University of Technology (QUT)

Bart Hompes

Researcher: Bart Hompes

Researcher Category: Early stage researcher
Website: https://www.tue.nl/en/university/departments/mathematics-and-computer-science/the-department/staff/detail/ep/e/d/ep-uid/20107238/
Goal of the stay:

The goal of the secondment is to look at how contextual information about process instances and activities is causally related to process performance over time. For example, different schedules for different resources can have an influence on the waiting time for activities performed by those resources. This in term can affect the total duration of a process.

Causal relation discovery techniques are available in the time series field, and seem applicable to the field of process mining. In this secondment, the applicability of these techniques will be investigated, and a technique that discovers causal relations between process performance indicators will be developed.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-10-26–2016-12-02: Technische Universiteit Eindhoven (TU/e) to Queensland University of Technology (QUT)

Niek Tax

Researcher: Niek Tax

Researcher Category: Early stage researcher
Website: https://www.tue.nl/en/university/departments/mathematics-and-computer-science/the-department/staff/detail/ep/e/d/ep-uid/20143162/
Goal of the stay:

This visit took place from the 26th of October until the 2nd of December. The goal of the stay is to investigate applications of deep learning in the area of process mining. Deep learning, and specifically Recurrent Neural Networks, have shown impressive performance in other sequence-based analysis tasks such as in Natural Language Processing (NLP). We will investigate whether these techniques can be succesfully applied for prediction tasks in business processes.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-10-12–2016-12-19: Universidad de Sevilla (USE) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Antonio Manuel Gutierrez Fernandez

Researcher: Antonio Manuel Gutierrez Fernandez

Researcher Category: Early stage researcher
Website: http://www.isa.us.es/members/antoniomanuel.gutierrez
Goal of the stay:

The goal of the secondment is to find ways how to evaluate the accomplishment of the transparancy laws of governments by analyzing the legal document to automate it their application and analysis.


Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2016-10-05–2016-12-14: Westfälische Wilhelms-Universität Münster (WWU) to Queensland University of Technology (QUT)

Florian Plenter

Researcher: Florian Plenter

Researcher Category: Early stage researcher
Website: http://www.erc.is/p/florian.plenter
Goal of the stay:

The goal of the stay is to analyze business models for peer-to-peer sharing and collobarative consumption services and the influence of smart devices as enablers for new business models and the respective business processes.

 

 


Work package addressed: WP2: Technological Enablers – Smart Devices (Phase 1)

2016-10-01–2016-11-02: Universidad de Sevilla (USE) to Ulsan National Institute of Science and Technology (UNIST)

Carlos Müller

Researcher: Carlos Müller

Researcher Category: Experienced researcher
Website: http://www.isa.us.es/members/carlos.muller
Goal of the stay:

Research Context

The present stay is part of the WP3: Real-Time Computing involved in the first phase of the RISE BPM Project. Specifically, the objectives of this WP are:

  • To analyse real-time computing concepts and technology for the low latency monitoring and control of business process.
  • Analysis of the influence of real-time computing on the four areas of BPM.
  • Investigation of the mechanisms enabling organisations to respond to changes in their processes efficiently and effectively.

Since our research group have been working hard in the recent months on an interesting SLA & BPM-based monitoring platform for the andalusian regional government health care system, the main goal of the secondment is to combine such a platform with the techniques applied by Minseok group to the Korean health care system or to the samsung company.

 

Work Plan

During the present stay, the following types of activities are planned:

  • Seminars. In this activities several interactive lectures to present specific works and provide a rich understanding of the details of those works.
  • Workshops. In this activity a joint discussion to breed innovative ideas
  • Meetings. In this activity a decision-making activity will be carried out about specific issues.

 

In order to sequence these activities a three-step phase decomposition is planned; to this respect, this decomposition represent an initial plan that should be evolved and adapted to the different timing constraints of the researchers that are members of the team at the University of Postech (Pohang) that are part of the RISE BPM Project (formerly Ulsan University).

Following, we outline each of the phases in the  work plan:

Phase I (Week 1 ):

In this phase a set of introductory seminars about the expertise at the University of Sevilla and Postech.

Phase II (Weeks 2 to 3):

In this phase a set of Workshops would be developed in order to build a list of potential collaboration activities and scenarios.

Phase III (Week 4):

This final phase involve the development of Meetings to outline the plan of future collaboration activities with a prioritization of goals.


Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2016-09-21–2016-10-23: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Nadine Ogonek

Researcher: Nadine Ogonek

Researcher Category: Early stage researcher
Website: http://www.erc.is
Goal of the stay:

The goal of the secondment is to find ways how to increase the transparancy of governments by analyzing their language that needs to be understood by citizens in order to be efficient. Another goal will be to work on the education of citizens in order for them to better understand govermental orders and documents.


Work package addressed: WP5: Analysis of Societal Impact Factors (Phase 1)

2016-09-20–2017-03-20: Ulsan National Institute of Science and Technology (UNIST) to Technische Universiteit Eindhoven (TU/e)

Minsu Cho

Researcher: Minsu Cho

Researcher Category: Early stage researcher
Website: http://aim.postech.ac.kr
Goal of the stay:

The goal of the secondment is to continue and improve works on healthcare process analyses with process mining. We will try to find a way how to combine existing knowledge from two organizations and develop more innovative works. Also, another goal of the stay is to investigate open issues for making a bridge between the big-data technology and process mining. 


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-09-20–2016-11-18: Westfälische Wilhelms-Universität Münster (WWU) to Ulsan National Institute of Science and Technology (UNIST)

Moritz von Hoffen

Researcher: Moritz von Hoffen

Researcher Category: Experienced researcher
Website: http://erc.is/p/moritz.von.hoffen
Goal of the stay:

During my secondment at POSTECH university, I would like to pursue two different research endeavors. 

The first idea is to work on the application of sentiment analysis methods in the domain of the Sharing Economy. This research is closely related to WP1. In this context, I would like to conduct sentiment analysis on two different kinds of data provided from users of the Airbnb service. At first, tweets mentioning the hashtag #airbnb were collected over a duration of a couple of prior to my secondment. These tweets will be analyzed using techniques of Natural Language Processing (NLP) and sentiment analysis to derive insights regarding factors affecting service delivery in the Sharing Economy. Complementary to the analysis of tweets, reviews provided on the Airbnb website will also be analyzed. This serves the cause to investigate, whether the sentiments contained in tweets are in line with the ones mentioned in reviews.

The second idea that I would like to work on is the analysis of charging transaction data of electric vehicle’s charging transaction. Due to the real-time analytics and the involved smart charging stations, the WP2 and WP3 and possibly WP4 will benefit from this research. The enrichment of charging transaction data with contextual information, e.g. weather and POIs nearby, can be used to learn about charging behavior. In previous communication, the option of retrieving charging transaction data of the Korean-based PMGROW was discussed. Such a data set would allow for application of the different approaches for analytics and should yield interesting results.  


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP3: Technological Enablers – Real-time Computing (Phase 1), WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-09-17–2016-11-17: Universidad de Sevilla (USE) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Bedilia Estrada-Torres

Researcher: Bedilia Estrada-Torres

Researcher Category: Early stage researcher
Website: http://www.us.es/acerca/directorio/ppdi/personal_13052
Goal of the stay:

Knowledge Intensive Processes are unstrutured or ad-hoc processes that contain activities that typically involve or exchange a great amount of tacit knowledge in their execution and almost no rules about the subsequent activities are defined beforehand. This information, involved or exchanged, may provide valuable information about the performace of a process execution and may act as an indicator of it. The Process Performance Indicators (PPIs) are quantifiable measures that provide valuable insights about the performance of processes and the organizations where they are applied. These PPIs are usually applied to a tradicional structured business process.

The goal of this secondment is to identify how PPIs can be defined over KIP. In order to do this, two ontologies have been analysed: PPINOT, an ontology focused in the definition of PPIs over business processes, and Knowledge-Intensive Process Ontology (KIPO) that reflects the main aspects that characterize KIPs.


Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2016-09-17–2016-09-30: Universidad de Sevilla (USE) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Adela del-Rio-Ortega

Researcher: Adela del-Rio-Ortega

Researcher Category: Experienced researcher
Website: http://www.isa.us.es/adela.delrio
Goal of the stay:

This is the second part of a one-month secondments split into two shorter stays, the first started in June 2016, the 28th and finished in July 2016, the 15th. The goals for this second period remain the same as the ones defined for the first one. I copy them below:

The goals of this secondment are framed into two contexts: Process model understandability and validation and Business Process-Oriented Knowledge Management (BPO-KM). In the following we introduce them and set the goals:

  1. Business process models are artifacts that can be used to support the understanding of how to obtain a service or product. However, the misunderstanding produced by “hard” process model notations prevents not only the understanding of the process, but also the implementation of appropriate tools to support them and the current practice of a service. One goal of this secondment is to build upon previous research results of the collaborating groups (from UNIRIO and USE) and other existing approaches to investigate possible mechanisms to automatically obtain highly understandable process models from existing BPMN models.
  2. Knowledge Management aims to promote the growth, communication and preservation of knowledge within an organization, which includes managing the appropriate resources to facilitate knowledge sharing and reuse. Business Process-Oriented Knowledge Management (BPO-KM) focuses on discovering and representing the dynamic conversion of existing knowledge among participants involved in executing business processes. In this context, Knowledge-Intensive Processes (KPIs) are a very important and challenging specific subclass of processes, since they strongly involve socialization and informal exchanges of knowledge among participants. BPO-KM aims at identifying, modeling, analyzing and refining KIPs. As part of this, the performance measurement of KIPs plays a key role for their holistic management and improvement. In this secondment we plan to investigate how existing approaches for the definition of process performance indicators can be adapted or extended to measure the performance of KIPs.

Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2016-09-15–2016-10-18: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Monika Malinova

Researcher: Monika Malinova

Researcher Category: Experienced researcher
Website: https://www.wu.ac.at/en/infobiz/team/malinova/en
Goal of the stay:

A process map is an abstract and visual overview of all business processes of an organization and the relations between them. It is considered as the level one of a process architecture and is intended to show how an organization operates without necessarily going into the process details. The main goal of this secondment is to empirically evaluate a visual language for designing process maps. During the secondment we will collaborate with an industry partner of UNIRIO, a Brazilian company situated in Rio de Janeiro, with the aim to design their process map using the newly developed language. In addition, we will apply Natural Language Processing techniques on process documentation provided to us by the company to analyze and discover patterns of appropriate labelling of processes seen on process maps.      

 


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-08-30–2016-09-30: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Saimir Bala

Researcher: Saimir Bala

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/bala/en
Goal of the stay:

Software development projects often need to adhere to predefined guidelines or carried out according to a specific process. This is, for instance, when building software for human and data centric processes, which are subject to strict rules and regulations. However, normally the software development process is not managed by a process engine. To ease the burden of the monitoring or the retrospective analysis of its activities, an automated discovery of the software development process is required. The goal of this secondment is to research effective ways to discover clues of software development activities by analysing log data from Version Control Systems. Natural language processing (NLP) techniques will be used in order to classify user comments into specific activities of a software development process.

 


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-08-28–2016-09-27: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Claudio Di Ciccio

Researcher: Claudio Di Ciccio

Researcher Category: Experienced researcher
Website: http://www.wu.ac.at/infobiz/team/diciccio/en/
Goal of the stay:

Knowledge-intensive Processes (KiPs) are business processes lying on the intersection between the BPM and the Knowledge Management (KM) fields . They are collaborative workflows which heavily depend on the tacit knowledge of the participants, which drives the decisions and strategies taken during the process life-cycle. Owing to that, they tend to be very flexible, as they can change at every instantiation. This characteristic suggests the utilisation of declarative specifications of their behaviour. In the light of the above, the objective of the secondment is to join the respective expertise acquired in the field by the partners in order to further advance in the investigation of KiP mining. In particular, studies will be conducted to enhance the declarative process discovery algorithms with Natural Language Processing techniques, both to aggregate the extracted information, and enlarge the possibility to mine KiPs out of partially structured or unstructured texts. The actors of a KiP cooperate by means of the exchange of information in the so-called knowledge items. Due to the prominent role that information and resource perspectives play in KiPs, it is of high interest and hence in the plans to devise new approaches capable of mining not only the control flow, but also the knowledge items and the active participants in the context of KiPs.  


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-08-22–2016-12-21: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Markus Monhof

Researcher: Markus Monhof

Researcher Category: Early stage researcher
Website: http://www.erc.is/p/markus.monhof
Goal of the stay:

The goal of the secondment is to extend previous research on quality in smart service processes that was conducted during a previous secondment. Data from social media (WP1) is analyzed using big data technologies (WP4 ) to gain insights on influence factors and outcomes of service quality. Smart devices (WP2) as potential enablers of high quality in services processes are examined.

Furthermore, a business process for the reconfiguration of used electric vehicle batteries that is enabled by smart battery monitoring (WP2) soultions is developed.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP2: Technological Enablers – Smart Devices (Phase 1), WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-08-05–2016-08-19: University of Liechtenstein (UNI-LI) to Wirtschaftsuniversität Wien (WU)

Bernd Schenk

Researcher: Bernd Schenk

Researcher Category: Experienced researcher
Website: https://www.uni.li/de/universitaet/institute/institut-fuer-wirtschaftsinformatik
Goal of the stay:

The goal of this secondment is to investigate the potential of Enterprise Systems for different kinds of innovations like process innovation and digital innovation. Due to latest technologies established in the field of Enterprise Systems (e.g. Big Data and In-Memory Computing) the role of Enterprise Systems changes to a more active one, being not just an enabler but driver of innovation for many companies.

 


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-08-04–2016-09-05: Wirtschaftsuniversität Wien (WU) to University of Liechtenstein (UNI-LI)

Gerhard Wohlgenannt

Researcher: Gerhard Wohlgenannt

Researcher Category: Experienced researcher
Website: http://www.wu.ac.at/infobiz/team/wohlgenannt
Goal of the stay:

With the exponential growth of data available on the Web, especially in the from of unstructured natural language text, text mining technologies are crucial components in business analytics and big data analysis. Obviously, BPM can benefit from text mining methods and tools, too.
In the from of a use-case study, we will apply state-of-the-art text mining methods to extract opinions and topics in the 2016 US presidential election campains. More precisely, we analyse data from the Twitter Streaming API about the presidential candidates, and use methods such as topic modeling and word embeddings to gain insights about the motivations and opinions of social media users. For topic modeling we apply Latent Dirichlet Allocation (LDA), and for word embeddings the word2vec toolkit. We also develop a Web interface to present and visualize the results of the various analysis components like LDA topic modelling and word embeddings. The Web interface builds on existing tools such as pyLDAvis and the Webvectors (RusVectōrēs) toolkit.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-08-01–2016-08-12: University of Liechtenstein (UNI-LI) to Westfälische Wilhelms-Universität Münster (WWU)

Isabell Wohlgenannt

Researcher: Isabell Wohlgenannt

Researcher Category: Early stage researcher
Website: https://www.uni.li/isabell.wohlgenannt
Goal of the stay:

The goal of the secondment is to cooperate on data analysis in the field of gamification with researchers from University of Münster. Goal of the research project is the identification of gaming mechanisms and skills which might be relevant for showing high performance in strategy games and in work life. Companies could modify their way of assessing applicants in accordance to the results of this research project.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-08-01–2016-08-12: University of Liechtenstein (UNI-LI) to Westfälische Wilhelms-Universität Münster (WWU)

Alexander Simons

Researcher: Alexander Simons

Researcher Category: Experienced researcher
Website: https://www.uni.li/de/universitaet/institute/institut-fuer-wirtschaftsinformatik
Goal of the stay:

The goal of the secondment is to cooperate on data analysis in the field of gamification with researchers from University of Münster. Goal of the research project is the identification of gaming mechanisms and skills which might be relevant for showing high performance in strategy games and in work life. Companies could modify their way of assessing applicants in accordance to the results of this research project.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-08-01–2016-08-12: University of Liechtenstein (UNI-LI) to Westfälische Wilhelms-Universität Münster (WWU)

Markus Weinmann

Researcher: Markus Weinmann

Researcher Category: Experienced researcher
Website: https://www.uni.li/markus.weinmann
Goal of the stay:

The goal of the secondment is to cooperate on data analysis in the field of gamification with researchers from University of Münster. Goal of the research project is the identification of gaming mechanisms and skills which might be relevant for showing high performance in strategy games and in work life. Companies could modify their way of assessing applicants in accordance to the results of this research project.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-07-29–2016-08-31: Wirtschaftsuniversität Wien (WU) to Queensland University of Technology (QUT)

Jan Mendling

Researcher: Jan Mendling

Researcher Category: Experienced researcher > 10 years
Website: http://www.wu.ac.at/infobiz/team/mendling/en/
Goal of the stay:

This research visit to QUT Brisbane is dedicated to the investigation of process query languages for managing process-related event data such as from RFID readers, GPS signals, AIS transponders of other sorts of event data. In order to analyze such data, it is typically required to conduct various steps of pre-processing including filtering, aggregation and matching. Todays process mining tools do not directly support such operations, but rather assume that the process-related event log data is harmonized and integrated. The objective of ongoing research with QUT is to develop a process query language for handling process-related event log data that supports all these pre-processing operations.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-07-10–2016-07-16: Wirtschaftsuniversität Wien (WU) to CUPENYA B.V. (CUP)

Manuel Raffel

Researcher: Manuel Raffel

Researcher Category: Early stage researcher
Website: http://www.wu.ac.at/infobiz/team/raffel/en/
Goal of the stay:

the last part consists of summarization and feedback rounds aimed at evaluating the collaborative performance as well as decide upon possible future collaborations, including but not limited to finding master’s thesis or dissertation topics relevant for the industry to be conducted with the Institute for Information Business.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-07-01–2016-11-01: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Friedrich Chasin

Researcher: Friedrich Chasin

Researcher Category: Early stage researcher
Website: http://erc.is/p/chasin
Goal of the stay:

Uber, the world’s largest taxi company, owns no vehicles and And Airbnb, the world’s largest accommodation provider, owns no real estate. There are areas of goods and services, where consumers needs can be satisfied by mere access to a resource instead of actual ownership. These markets for peer-to-peer (P2P) sharing and collaborative consumption (SCC) gathered under the to share term of the sharing economy describe a phenomenon, that has experienced strong growth in the past years. As of today, there are more than 10.000 web platforms that consider themselves part of the sharing economy. These platforms depend on the efficient execution of Smart-IT-enabled processes. However, neither reference processes exist for P2P SCC platforms nor the role of smart devices in the establishment and management of these processes is yet understood.

The goal of the secondment is to build upon the research outcomes of a previous RISE_BPM collaboration between the University of Muenster and Pohang University of Science and Technology. The analysis of the processes and the structures of the P2P SCC enterprises under the umbrella of the Sharing City Seoul Initiative provided first reference materials and hypotheses in regard to how P2P SCC platforms manage their processes and build upon the use of smart devices such as location-based sensors for efficient match-making between peers. A particular goal is to improve the understanding of how smart devices are utilised by these sharing businesses in order to facilitate the sharing between individuals. We plan to do it by extending the scope of the analyzed P2P SCC platforms specifically looking at the corresponding enterprises located in Brazil. By means of semi-structured interviews and platform analyses, we aim at enriching our understanding of BP references models in the domain of P2P SCC.  As the individual behavior of peers is decisive for the success of any P2P SCC enterprise we furthermore analyze the social impact factors on the BPM of sharing economy businesses. A look at different social environments such as Europe, South Korea, and Brazil gives us a unique opportunity to understand the differences and similarities in the social impact on P2P SCC BPM.

This stay addresses WP2: Technological Enablers – Smart Devices (Phase 1), WP5: Analysis of Societal Impact Factors (Phase 1) 


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP5: Analysis of Societal Impact Factors (Phase 1)

2016-06-28–2016-07-15: Universidad de Sevilla (USE) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Adela del-Rio-Ortega

Researcher: Adela del-Rio-Ortega

Researcher Category: Experienced researcher
Website: http://www.isa.us.es/adela.delrio
Goal of the stay:

The goals of this secondment are framed into two contexts: Process model understandability and validation and Business Process-Oriented Knowledge Management (BPO-KM). In the following we introduce them and set the goals:

  1. Business process models are artifacts that can be used to support the understanding of how to obtain a service or product. However, the misunderstanding produced by “hard” process model notations prevents not only the understanding of the process, but also the implementation of appropriate tools to support them and the current practice of a service. One goal of this secondment is to build upon previous research results of the collaborating groups (from UNIRIO and USE) and other existing approaches to investigate possible mechanisms to automatically obtain highly understandable process models from existing BPMN models.
  2. Knowledge Management aims to promote the growth, communication and preservation of knowledge within an organization, which includes managing the appropriate resources to facilitate knowledge sharing and reuse. Business Process-Oriented Knowledge Management (BPO-KM) focuses on discovering and representing the dynamic conversion of existing knowledge among participants involved in executing business processes. In this context, Knowledge-Intensive Processes (KPIs) are a very important and challenging specific subclass of processes, since they strongly involve socialization and informal exchanges of knowledge among participants. BPO-KM aims at identifying, modeling, analyzing and refining KIPs. As part of this, the performance measurement of KIPs plays a key role for their holistic management and improvement. In this secondment we plan to investigate how existing approaches for the definition of process performance indicators can be adapted or extended to measure the performance of KIPs.

Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2016-06-02–2016-08-10: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Benjamin Klör

Researcher: Benjamin Klör

Researcher Category: Experienced researcher
Website: https://www.wi.uni-muenster.de/de/institut/gruppen/is/personen/benjamin-kloer
Goal of the stay:

„Smart Business Process for Reconfiguring Electric Vehicle Batteries“

Motivation

Electric vehicle batteries (EVBs) are large energy storage facilities to propel electric vehicles (EVs) over significant distances. EVBs are designed for modularity and comprise of parallel connected battery modules (increase total amperage), which again consist of plenty of serially connected battery cells (increase total voltage). Due to degradation effects (calendric and cyclic aging), the quality of EVBs decreases over time, which necessitates their removal from the EVs (first life application) after approximately ten years of usage. However, the batteries still provide enough energy to be repurposed in various second life scenarios, e.g., as buffer storages in smart homes or solar plants.

Like many other used products that are intended for a second life, EVBs must be handled by a dedicated business process to organize, e.g., their take back, refurbishment, reconfiguration, and redistribution. Because of the specific characteristics and properties of EVBs as a cyber-physical system (integrated battery management system (BMS), which is a “smart device”), the business process for giving batteries a second life may become “smart(er)”.

Research Endeavor

To design such a business process, it is necessary to review current process instances of reconfiguring/repurposing used products/goods to analyze possible activities, which can become smart. We define “smart” by the degree of business process automation and efficiency that can be reached by using smart devices and IS. Then, based on the findings of the process instances, the repurposing process for used EVBs is derived with a special focus on their reconfiguration, since this activity is considered to be one block in the process chain that may become smart(er).

As yet, we think that the reconfiguration of EVBs can become smart due to the EVBs’ modular design and the included smart device (BMS), which can provide comprehensive data about the status and usage history of the battery. This data can be used to feed decision models for optimizing the reconfiguration process. The decision models shall make use of linear programming to generate a set of feasible reconfigured batteries that optimally satisfy the requirements of second life scenarios, which could not be supplied with a battery in the first round of battery matching. Consequently, by reconfiguring batteries on pack and module levels, battery systems can be supplied to more or less demanding second life scenarios.


Work package addressed: WP2: Technological Enablers – Smart Devices (Phase 1)

2016-05-26–2016-06-24: Universidade Federal do Estado do Rio de Janeiro (UNIRIO) to Universidad de Sevilla (USE)

Flavia Maria Santoro

Researcher: Flavia Maria Santoro

Researcher Category: Experienced researcher
Website: http://lattes.cnpq.br/5377746284077362
Goal of the stay:

The main goal of this secondment is to analyze computing concepts to real-time monitoring and control of business processes. This goal is aligned with WP3: Technological Enablers – Real-time Computing (Phase 1). Specifically, a study on the discovery of relevant context information for modeling the business process will be done. The approach to be adopted will: propose and create mechanisms to support an organization to adapt and dynamic evolution of its processes, automatically or semi-automatically based on context information. This support is accomplished through the analysis of the current context and also the reasoning of the historical process of events in previous instances.

The other goal of this second is to identify potential interests and possibilities of integrating the research on BPM related to RISE-BPM of both groups.


Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2016-04-05–2016-05-05: Technische Universiteit Eindhoven (TU/e) to Ulsan National Institute of Science and Technology (UNIST)

Sebastiaan Zelst, van

Researcher: Sebastiaan Zelst, van

Researcher Category: Early stage researcher
Website: http://www.win.tue.nl/~svzelst/
Goal of the stay:

Resource Network analysis in data intensive environments. Given the omnipresence of data, and, the high velocity at which data is produced within business processes, interesting questions arise such as: what resources are currently active? what resource is causing problems? What clusters of resources can we identify? etc. During the research visit we focus on discovering, visualizing analyzing such information, using a process mining focus. We investigate the intersection of existing (process mining based) social network analysis techniques, and, techniques aiming at handling huge amounts of (streaming) data.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-04-04–2016-05-04: Technische Universiteit Eindhoven (TU/e) to Ulsan National Institute of Science and Technology (UNIST)

Maikel van Eck

Researcher: Maikel van Eck

Researcher Category: Early stage researcher
Website: http://www.tue.nl/universiteit/faculteiten/wiskunde-informatica/de-faculteit/medewerkers/detail/ep/e/d/ep-uid/20080452/
Goal of the stay:

The aim of process mining is to provide fact-based insights into the execution of processes. An important aspect of this is the discovery of process models based on behaviour captured in event data. During this research visit we investigate the discovery of state-based process models in on-line settings with changing processes.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-03-21–2016-04-20: Wirtschaftsuniversität Wien (WU) to CUPENYA B.V. (CUP)

Cristina Cabanillas

Researcher: Cristina Cabanillas

Researcher Category: Experienced researcher
Website: https://www.wu.ac.at/en/infobiz/
Goal of the stay:

The goal of this secondment is to apply results of the research on resource management in
business processes conducted at WU on real projects developed at Cupenya, which is
specialized in analysing process performance. In particular, the work consists of four tasks:
(i) assess the business processes, organizational models and resource assignment
requirements that Cupenya can provide and model them using RALph as resource
assignment notation; (ii) develop a RALph modeler suitable for real needs that will later be
integrated into Cupenya's analytics tool; (iii) develop an automated technique to analyze
the involvement of resources in the key performance indicators (KPIs) defined for a
business process; and (iv) analyze requirements for resource allocation during process
execution that will be useful for continuing the work in the direction of automatic resource
allocation and organizational planning. The idea is that both parties get benefit from this
secondment: Cupenya's current business process management software lacks support for
the resource perspective, so they could leverage a resource modeler and reasoning modules;
WU would use the real scenarios to validate research results as well as to extend existing
approaches for a broader application.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-03-01–2016-03-31: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Armin Stein

Researcher: Armin Stein

Researcher Category: Managerial staff
Website: http://erc.is/p/armin.stein
Goal of the stay:

During this Managerial Stay, I would like to streamline the processes of project coordination and documentation with our Brazilian partners. This inlcudes parts of the preparation of the upcoming report. Furthermore, I would like to identify opportunities to create and increase the collaboration of the partners with UNIRIO in terms of education by offering, e.g., joint seminars. For this, feasible solutions should be discussed. Finally, I would like to discuss opportunities to include Brazilian partners into the ERCIS network, which forms the basis the RISE_BPM project.


Work packages addressed: WP5: Analysis of Societal Impact Factors (Phase 1), WP10: Project Management

2016-03-01–2016-03-31: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Elena Gorbacheva

Researcher: Elena Gorbacheva

Researcher Category: Experienced researcher < 10 years
Website: https://www.wi.uni-muenster.de/department/groups/is/people/elena-gorbacheva
Goal of the stay:

The collaboration between WWU and UNIRIO was strengthened within the performed secondment via
(1) the development of a joint publication reporting on the case that took place at a large Brazilian insurance company, where BPM was adopted to solve contemporary organisational challenges; and
(2) exchange of experience in promotion of study opportunities for girls in the BPM field (the under-represented group), which motivated launching a respective intervention at UNIRIO (as part of the “Digital Girls” initiative).


Work packages addressed: WP4: Technological Enablers – Big Data Technology (Phase 1), WP5: Analysis of Societal Impact Factors (Phase 1)

2016-02-07–2016-03-03: Wirtschaftsuniversität Wien (WU) to CUPENYA B.V. (CUP)

Andreas Solti

Researcher: Andreas Solti

Researcher Category: Experienced researcher
Website: http://www.wu.ac.at/infobiz/team/rogge-solti/en/
Goal of the stay:

Many organizations run their business processes without a centralized process orchestration engine. Instead organizations rely often on IT systems without process awareness, like ERP systems, CRM systems and issue tracking systems. Nevertheless, it is business processes that are executed and the goal is to be able to monitor these processes with performance indicators. If we are able to tap into the source of events that track ongoing work in the IT systems and connect them to the process models which describe the processes on a higher level, we enable monitoring and decision support on the process level. The goal of this work is to ease the painful manual task of wiring low level events from IT systems to the process model at hand by an automated matching algorithm that takes also nonstructured textual descriptions into account. By leveraging semantic technology, we expect to get a significant improvement over conventional matching using only structural information.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-02-03–2016-04-06: Westfälische Wilhelms-Universität Münster (WWU) to Ulsan National Institute of Science and Technology (UNIST)

Friedrich Chasin

Researcher: Friedrich Chasin

Researcher Category: Early stage researcher
Website: http://erc.is/p/chasin
Goal of the stay:

The goal of the secondment is to analyze the processes and the structure of the businesses within the Sharing Economy that are part of the Sharing City Seoul Initiative. Sharing City Seoul is a governmental project that created partnerships with NGOs and private companies to make sharing an integral part of Seoul's economy. A particular goal is to understanding how smart devices are utilized by these sharing businesses in order to facilitate the sharing between individuals. Currently, several barriers exist, which limit the possible scenarios for exercising peer-to-peer sharing of various resources between individuals. An effective use of 'intelligent' devices is a potential solution for the emerged challenges and have high implications for the BPM within the domain of Sharing Economy of tomorrow. By analyzing the state of the art of the processes in the Sharing Economy businesses, it is our goal to be able to add knowledge to the body of research and provide implications for the emerging businesses in the practice. The aim of the project is therefore directly aligned with the goals defined in the WP2. Furthermore, given the nature of the Sharing Economy phenomenon, the project adds knowledge in regard to the societal impact factors in BPM to the outcome of the WP5.


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP5: Analysis of Societal Impact Factors (Phase 1)

2016-02-01–2016-03-31: Westfälische Wilhelms-Universität Münster (WWU) to Queensland University of Technology (QUT)

Hendrik Scholta

Researcher: Hendrik Scholta

Researcher Category: Early stage researcher
Website: http://www.erc.is/p/hendrik.scholta
Goal of the stay:

Predictive e-government services are a concept for future governments to use available data, which may include sensor data, in order to increase their customers’ convenience and efficiency of processes. In the course of such services, governments predict life events of customers and make recommendations for governmental services that may be relevant to customers, e.g. the extension of a driver’s license when it is supposed to expire. The aim of this secondment is to investigate the suitability of predictive services to eliminate forms. Predictive services fundamentally change the way governments operate and thereby influence their processes. Therefore, this secondment makes a contribution to the analysis of prospects and challenges of entirely new smart e-government services, which affect BPM in governmental institutions.


Work package addressed: WP2: Technological Enablers – Smart Devices (Phase 1)

2015-12-02–2016-02-29: Universidade Federal do Estado do Rio de Janeiro (UNIRIO) to Westfälische Wilhelms-Universität Münster (WWU)

Kate Revoredo

Researcher: Kate Revoredo

Researcher Category: Experienced researcher
Website: http://lattes.cnpq.br/0814717344017544
Goal of the stay:

Evaluate the benefits of contextual information to business process management. Contextual Information can be leveraged from social media or smart devices. Investigate how they can be obtained, extracted and then integrated to the business process aiming at improve it are the goals of this secondment and are aligned with WP01 and WP02.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP2: Technological Enablers – Smart Devices (Phase 1)

2015-11-07–2015-12-10: Technische Universiteit Eindhoven (TU/e) to University of Liechtenstein (UNI-LI)

Bart Hompes

Researcher: Bart Hompes

Researcher Category: Early stage researcher
Website: https://www.tue.nl/en/university/departments/mathematics-and-computer-science/the-department/staff/detail/ep/e/d/ep-uid/20107238/
Goal of the stay:

In many domains, analysis of processes down to the level of process models is either too complex, meaningless or even unwanted. Often times, however, process owners carry or share liability for any issues in these processes. Process mining techniques can be used to automatically check key performance indicators and service level agreements (SLAs). For example, how to reduce cost and improve speed and reliability are important issues in today's healthcare processes. Due to the flexible nature of processes in the healthcare domain, the size and complexity of these data is increasing continuously. SLAs concerning cost and performance are commonplace in healthcare environments.

The idea is that we can improve processes(es) by learning from historical behavior. For example, we might find early signs of potential problems later on in the process. We want to find these anomalies and early predictors for SLA violations in the data in order to be able to gain insight into the process(es) at hand and in order to optimize the process as a whole.

The goal of this stay is to investigate which techniques exist concerning SLAs as to be able to develop a framework in which SLAs are centric in the performance analysis of business processes.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2015-10-26–2015-11-25: Technische Universiteit Eindhoven (TU/e) to Queensland University of Technology (QUT)

Maikel Leemans

Researcher: Maikel Leemans

Researcher Category: Early stage researcher
Website: http://www.tue.nl/staff/m.leemans
Goal of the stay:

The overall aim of the exchange with QUT in the context of RISE_BPM is to make fundamental advancements in the area of analyzing Big Data event logs for the enhancement and improvement of (existing) process models. Hence, these fundamental advancements will contribute to the effective use of Big Data event logs during the analysis phase of the business process lifecycle; and can be positioned in the context of process mining.

The focus of the exchange with QUT is on process enhancement and improvement. Based on contact prior to the exchange, the challenge of process repair has been selected as a common topic of interest for both parties.
Key academic and technical challenges revolves around the question: how can we effectively and efficiently utilize large (big data) event logs and process models to analyze and repair deviations in said process models?
We believe that the above challenge calls on the joint expertise of both QUT and TU/e.

Objectives of the exchange project with QUT:
• Novel contribution to the area of process model enhancement and improvement. Ideally, the work should be captured in a scientific paper.
• Exchange of knowledge in the area of data science, and specifically, process mining.
• International experience.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2015-10-26–2015-11-25: Technische Universiteit Eindhoven (TU/e) to Queensland University of Technology (QUT)

Xixi Lu

Researcher: Xixi Lu

Researcher Category: Early stage researcher
Website: https://www.tue.nl/universiteit/faculteiten/wiskunde-informatica/de-faculteit/medewerkers/detail/ep/e/d/ep-uid/20080623/
Goal of the stay:

Noise and deviance detection. In business process management, Big Data, which refers to rich and possibly unstructured data sources, creates new opportunities but also challenges in analyzing them. One of the challenges is how to clean these unstructured and noisy event data, which may manifest themselves as imperfect patterns, in preparation for conducting process analysis projects. Another interesting challenge is how to align these event data with normative process specifications, detect deviance, and check process compliance. The goal of this project is to further investigate these two problems and propose new approaches for detecting imperfect patterns and deviations that occur in event data. The focus is to efficiently align event data (observed behavior) with process specifications (normative behavior) in order to check process compliance and detect process deviations.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2015-10-21–2015-10-30: Ulsan National Institute of Science and Technology (UNIST) to Universidad de Sevilla (USE)

Changyong Lee

Researcher: Changyong Lee

Researcher Category: Experienced researcher > 10 years
Website: http://tmlab.unist.ac.kr
Goal of the stay:

The goal of this stay is to investigate open issues in real-time computing and BPM. Several topics related to real time computing such as resource management, SLAs/Commitments, predictions in the organizational domain, performance measurement, technology supporting big data analysis are discussed in this secondment. For example, for the technology support real-time computing, comparison of the performance between open-source platform and a commercial software (e.g. ParStream) could be one of the interesting topics. It is also interesting to create dashboards with mechanisms that helps the user to select the best graphs for it (maybe after analyzing the features of the data that is going to be represented using some kind of statistical analysis or similar). In this visit, we will elaborate each topic.


Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2015-10-21–2015-10-30: Ulsan National Institute of Science and Technology (UNIST) to Universidad de Sevilla (USE)

Minseok Song

Researcher: Minseok Song

Researcher Category: Experienced researcher > 10 years
Website: http://mssong.postech.ac.kr
Goal of the stay:

The goal of this stay is to investigate open issues in real-time computing and BPM. Several topics related to real time computing such as resource management, SLAs/Commitments, predictions in the organizational domain, performance measurement, technology supporting big data analysis are discussed in this secondment. For example, for the technology support real-time computing, comparison of the performance between open-source platform and a commercial software (e.g. ParStream) could be one of the interesting topics. It is also interesting to create dashboards with mechanisms that helps the user to select the best graphs for it (maybe after analyzing the features of the data that is going to be represented using some kind of statistical analysis or similar). In this visit, we will elaborate each topic.


Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2015-10-01–2016-08-31: University of Liechtenstein (UNI-LI) to Queensland University of Technology (QUT)

Alexander M. Schmid

Researcher: Alexander M. Schmid

Researcher Category: Early stage researcher
Website: https://www.uni.li/de/who-s-who/@@person_detail/1751134.67
Goal of the stay:

The goal of this secondment is twofold: a) to develop a plan for addressing existing knowledge gaps on societal and organizational impact factors of transformational information technologies such as Big Data Technology, Social Media, Real-time Computing, Smart Devices, etc., and b) to investigate investigate the mechanisms driving and impeding such transformations, if possible together with Australian organizations. More specifically, we are investigating how implementations of such technologies affect social systems and how governing agencies can successfully realize teleological transformations. Results are to be published.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP5: Analysis of Societal Impact Factors (Phase 1)

2015-09-28–2015-10-27: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Martin Matzner

Researcher: Martin Matzner

Researcher Category: Experienced researcher
Website: https://www.wi.uni-muenster.de/de/institut/gruppen/is/personen/martin-matzner
Goal of the stay:

The secondment addresses three main goals: (1) To initialize a joint research effort of UNIRIO and WWU in the area of process mining (WP 4). (2) To prepare future research of WWU researchers conducted in cooperation with companies being part of the Sharing Economy, where 'Smart Devices' opens up for new ways of sharing physical products among people (WP2/5). (3) To conduct a quantitative study on success and failure of enterprises in the Sharing Economy (WP2,5).


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP4: Technological Enablers – Big Data Technology (Phase 1), WP5: Analysis of Societal Impact Factors (Phase 1)

2015-09-28–2015-10-27: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Kevin Ortbach

Researcher: Kevin Ortbach

Researcher Category: Experienced researcher
Website: https://www.wi.uni-muenster.de/de/institut/gruppen/is/personen/kevin-ortbach
Goal of the stay:

The goals for the stay fall within four major categories. First and foremost, we would like to investigate processes and strategic BPM efforts in the context of the sharing economy. To this end, it is planned to gather a list of national and international sharing economy service business models and then to analyze these companies with respect to their success or failure. Here, one focus will be the examination of (causal) effects of technological enablers such as smart devices (part of WP2) on funding success or overall business value. Second, we would like to identify and contact local companies in the context of the sharing economy and conduct workshops on the role of technology for both their overall service model as well as their particular BPM efforts. Third, we are planning on conducting work on the transformation of theoretical insights into IT artifacts. i.e. the connection of empirical findings and the design of novel (BPM) solutions. This will inform future work on WP6-9. Fourth, as this is the first secondment of WWU researchers to UNIRIO, we would like to set the stage for future work of seconded researchers. Here meetings with key staff members of UNIRIO are planned in order to find mutual research objectives and potential areas for collaboration.


Work package addressed: WP2: Technological Enablers – Smart Devices (Phase 1)

2015-09-06–2015-10-03: Wirtschaftsuniversität Wien (WU) to CUPENYA B.V. (CUP)

Manuel Raffel

Researcher: Manuel Raffel

Researcher Category: Early stage researcher
Website: http://www.wu.ac.at/infobiz/team/raffel/en/
Goal of the stay:

● To analyse real-time computing concepts and technology for the low latency monitoring and control of business process. ● Analysis of the influence of real-time computing on the four areas of BPM. ● Investigation of the mechanisms enabling organisations to respond to changes in their processes efficiently and effectively. In the context of this WP, the goal of this secondment is twofold. On the one hand, we intend to identify open issues in real-time computing that are of interest for the industry so that the research done as part of this WP is oriented towards real needs from the industry. On the other hand, we intend to set up a validation plan for some of the activities of the WP that includes the definition of case studies as well as the testing environment in which this validation will take place. Consequently, this secondment represents a seminal activity that pretends to establish the initial foundations of the collaborations of the project.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2015-09-03–2015-10-04: University of Liechtenstein (UNI-LI) to Technische Universiteit Eindhoven (TU/e)

Roope Jaakonmäki

Researcher: Roope Jaakonmäki

Researcher Category: Early stage researcher
Website: https://www.uni.li/de/who-s-who/@@person_detail/2211389.67
Goal of the stay:

The goal of the secondment was to get in touch with TU/e Eindhoven's group of researchers in the field of process mining. As text mining and process mining are rather closely related research fields, the goal was to identify possible areas for collaboration in the future. This requires presenting text mining area in TU/e Eindhoven, and identifying the sub-research areas of process mining.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2015-08-25–2015-09-25: University of Liechtenstein (UNI-LI) to Technische Universiteit Eindhoven (TU/e)

Stefan Debortoli

Researcher: Stefan Debortoli

Researcher Category: Experienced researcher
Website: https://www.uni.li/stefan.debortoli
Goal of the stay:

The goal of the secondment was to get in touch with TU/e Eindhoven's group of researchers in the field of process mining. As text mining and process mining are rather closely related research fields, the goal was to identify possible areas for collaboration in the future. This requires presenting text mining area in TU/e Eindhoven, and identifying the sub-research areas of process mining.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2015-08-11–2015-09-20: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Markus Monhof

Researcher: Markus Monhof

Researcher Category: Early stage researcher
Website: http://www.erc.is/p/markus.monhof
Goal of the stay:

The goal of the secondment is to conduct joint research on quality in (smart) services processes. A deep understanding of factors leading to high service quality is necessary for effective BPM of service processes. Regarding smart devices as technological enablers (WP2) the secondment strives to provide insights on service quality factors that can be influenced by the implementation of smart devices. Additionally, the secondment is supposed to provide a basis for future collaboration with the University of Liechtenstein. Especially for a scheduled follow-up secondment to Uni-Li.


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP4: Technological Enablers – Big Data Technology (Phase 1)

2015-08-01–2015-09-01: University of Liechtenstein (UNI-LI) to Westfälische Wilhelms-Universität Münster (WWU)

Matthias Tietz

Researcher: Matthias Tietz

Researcher Category: Early stage researcher
Website: https://www.uni.li/en/who-s-who/@@person_detail/2175221.67?searchterm=tietz&set_language=en
Goal of the stay:

The secondment was basically part of the WP1: Technological Enablers – Social Media combined with WP2: Technological Enablers – Smart Devices. Initially, gaining profound knowledge of experimental research was the idea of the secondment in order to apply theories to improve the online platform CrowdStrom (www.crowdstrom.com) in terms of the user interaction rate as well as getting user registered in the first place. Cognitive biases and the theory of Choice Architecture were mainly the focus of the work.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP2: Technological Enablers – Smart Devices (Phase 1)

2015-07-19–2015-08-21: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Daniel Beverungen

Researcher: Daniel Beverungen

Researcher Category: Experienced researcher
Website: http://www.erc.is/p/daniel.beverungen
Goal of the stay:

The main purpose of the secondment is to write joint research papers on the influences that the proliferation of smart devices can have on the planning, design, implementation and analysis of business processes.


Work package addressed: WP2: Technological Enablers – Smart Devices (Phase 1)

2015-07-01–2015-08-01: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Friedrich Chasin

Researcher: Friedrich Chasin

Researcher Category: Early stage researcher
Website: http://erc.is/p/chasin
Goal of the stay:

Information Systems (IS) research on sustainability has moved into the focus of IS scholars, most notably under the label of Green IS—typically considering social, environmental, and economic dimensions. Notwithstanding the topic’s palpable relevance, there is still a lack of empirical evidence for the actual impact of information systems on sustainability at individual, organizational, and market levels. This is perhaps not surprising as operationalizing and measuring sustainability is a key challenge. This secondment's goal is to work with the colleagues from the University of Liechtenstein on the problem of answering the question of how can effects of sustainability resulting from the use of information systems be measured for different units of analysis, time frames, and boundary conditions? Especially, the secondments aim is to find out if sustainability can be effectively measured on the level of business processes and its activities.


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP5: Analysis of Societal Impact Factors (Phase 1)

2015-07-01–2015-07-31: Universidad de Sevilla (USE) to CUPENYA B.V. (CUP)

Adela del-Rio-Ortega

Researcher: Adela del-Rio-Ortega

Researcher Category: Experienced researcher
Website: http://www.isa.us.es/adela.delrio
Goal of the stay:

● To analyse real-time computing concepts and technology for the low latency monitoring and control of business process. ● Analysis of the influence of real-time computing on the four areas of BPM. ● Investigation of the mechanisms enabling organisations to respond to changes in their processes efficiently and effectively. In the context of this WP, the goal of this secondment is threefold. First, we intend to prioritise the open issues in real-time computing identified in Dr. Manuel Resinas’s secondment, according to the industry interest. Second, we plan to explore solutions for the open issues with higher priority. And third, we intend to start validating the research results using the case studies and testing environment established in the previous secondment. Consequently, this secondment represents the first step towards the consecution of the objectives of the WP3 described above, consolidating the collaborations of the project.


Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2015-06-11–2015-07-10: Universidad de Sevilla (USE) to CUPENYA B.V. (CUP)

Manuel Resinas

Researcher: Manuel Resinas

Researcher Category: Experienced researcher
Website: http://www.lsi.us.es/~resinas/
Goal of the stay:

● To analyse real-time computing concepts and technology for the low latency monitoring and control of business process. ● Analysis of the influence of real-time computing on the four areas of BPM. ● Investigation of the mechanisms enabling organisations to respond to changes in their processes efficiently and effectively. In the context of this WP, the goal of this secondment is twofold. On the one hand, we intend to identify open issues in real-time computing that are of interest for the industry so that the research done as part of this WP is oriented towards real needs from the industry. On the other hand, we intend to set up a validation plan for some of the activities of the WP that includes the definition of case studies as well as the testing environment in which this validation will take place. Consequently, this secondment represents a seminal activity that pretends to establish the initial foundations of the collaborations of the project.


Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2015-05-16–2015-06-14: Universidade Federal do Estado do Rio de Janeiro (UNIRIO) to Westfälische Wilhelms-Universität Münster (WWU)

José Ricardo Cereja

Researcher: José Ricardo Cereja

Researcher Category: Experienced researcher
Website: http://lattes.cnpq.br/7653288098116734
Goal of the stay:

Goals related to WP1: Analyze possible techniques that leverages information from online social media platforms for the purpose of business process improvement. Discuss new languages, models, methods, and tools to BPM, covering the four areas of BPM (Strategy, Modelling, Implementation, and Analysis. Goals related to WP2: Discuss the possibilities of integrating context information (and methods related) to BPM applications in smart devices.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP2: Technological Enablers – Smart Devices (Phase 1)

2015-05-16–2015-06-14: Universidade Federal do Estado do Rio de Janeiro (UNIRIO) to Westfälische Wilhelms-Universität Münster (WWU)

Flavia Maria Santoro

Researcher: Flavia Maria Santoro

Researcher Category: Experienced researcher
Website: http://lattes.cnpq.br/5377746284077362
Goal of the stay:

Goals related to WP1: Analyze possible techniques that leverages information from online social media platforms for the purpose of business process improvement. Discuss new languages, models, methods, and tools to BPM, covering the four areas of BPM (Strategy, Modelling, Implementation, and Analysis. Goals related to WP2: Discuss the possibilities of integrating context information (and methods related) to BPM applications in smart devices.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP2: Technological Enablers – Smart Devices (Phase 1)