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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2018-07-20–2018-09-19: 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)

2018-07-19–2018-09-18: 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)

2018-07-16–2018-08-17: 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)

2018-04-27–2018-06-01: 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 provider need to look for new business opportunities.  In the consumer market Smart Energy technologies are on the rise, but there is still a lack of adoption.

Therefore, I will focus on diffusion of Smart Energy technologies such as Smart Metering, Home Energy Management Systems, Smart Appliances and Microgenerators in the private household sector. From an IS perspective special interests lies on the social-technical issues, e.g. regarding behavioral changes of residential customers to become (more) active in the energy transition process.

Because there is already a lot of empirical research dealing with different single aspects of eco-feedback, particularly from the energy, building and psychology domain, I will shift the focus from my initial research goal. Instead of studying a single aspect of eco-feedback in an online-experiment, I will further enhance conceptual work on energy management systems from an IS perspective and with eco-feedback as one relevant part. A lot of researcher call for more “user engagement” in terms of feedback systems to motivate the user and to have a long-lasting effect finally leading to behavioral changes. However, they fail to further conceptualize user engagement in terms of energy management respective eco-feedback systems. Especially in information systems user engagement (and experience) are common researched concepts. Building on this UX research combined with the experience in building useful software artefacts the information systems domain can contribute for improvements in energy management systems as well as feedback mechanisms. Upcoming relevant smart services will also be included for an evaluation if and how it can support energy saving interventions besides feedback e.g. preemptive action as the smart thermostat Nest demonstrates. Therefore, the aim of the research is to provide design guidelines for energy management and especially feedback systems for user engagement based on relevant theories and literature.


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)

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)

2018-02-14–2018-03-31: 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)

2018-02-04–2018-02-08: 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

2018-02-04–2018-03-11: 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

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