Secondments

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

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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:

Due to the rise of user generated content, the Internet-of-Things and global interconnectivity, our modern society produces huge amount of data. For example, billions of interactions happen every day in social media, countless of business transactions are carried out every second, sensors constantly monitor our environment and telecommunicaton is ubiquitous. The sheer volume and speed of data has outspaced our ability to process, analyse, store and understand 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 package addressed: WP8: Synthesis of IT Artefacts – BPM Implementation (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)

2018-09-16–2018-10-10: 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)

2018-09-16–2018-10-01: 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)

2018-09-15–2018-11-14: 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)

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