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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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)

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: 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: 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)

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