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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2018-07-17–2018-08-22: 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: 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)

2018-07-16–2018-08-15: 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)

2018-07-01–2018-09-30: 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)

2018-02-04–2018-02-08: 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)

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

2018-02-04–2018-03-11: 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

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