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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2018-04-17–2018-06-05: 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.isa.us.es
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
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)

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

2018-01-07–2018-02-09: 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)

2017-12-01–2018-03-31: 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 research stay, starting in December 1st, 2017 until March 31st, 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. 

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:

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)

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