Institut für Wirtschaftsinformatik
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Publikation A measurement instrument for the “ten principles of good BPM”(Emerald, 2023) Badakshan, Peyman; Scholta, Henrik; Schmiedel, Theresa; Brocke, Jan vomThe ten principles of good business process management (BPM) support organizations in planning and scoping the organizations' BPM approach. Derived from literature and expert panels, the principles received much attention both in research and practice. This article develops a measurement instrument to operationalize the principles and to support organizations in measuring the degree to which they incorporate the principles in their BPM approach, that way advancing their BPM capabilities. The authors applied the scale-development methodology, because this methodology is an established approach consisting of various techniques to develop measurement instruments. First, the authors used established techniques to develop such an instrument. Then, the authors assessed the validity and reliability of the developed instrument through a field survey with 345 participants. The authors developed a valid and reliable measurement instrument for the ten principles of good BPM. The field survey's results reveal that the measurement instrument meets all required methodological standards. The instrument, thus, can be applied to help process owners and managers to evaluate their BPM approach and plan future actions based on potential shortcomings. Future research can both use and further develop the instrument, which serves as a conceptualization of the principles. This study is the first to provide a measurement instrument for assessing an organizations' BPM practice against the ten principles of good BPM, which have become established as a much-considered and widely-used source of reference both in academia and practice. The authors also discuss how the instrument compares to and distinguishes from existing approaches to qualify BPM approaches, thus communicating the significance of the instrument.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Large language models: Expectations for semantics-driven systems engineering(Elsevier, 2024) Buchmann, Robert; Eder, Johann; Fill, Hans-Georg; Frank, Ulrich; Karagiannis, Dimitris; Laurenzi, Emanuele; Mylopoulos, John; Plexousakis, Dimitris; Santos, Maribel YasminaThe hype of Large Language Models manifests in disruptions, expectations or concerns in scientific communities that have focused for a long time on design-oriented research. The current experiences with Large Language Models and associated products (e.g. ChatGPT) lead to diverse positions regarding the foreseeable evolution of such products from the point of view of scholars who have been working with designed abstractions for most of their careers - typically relying on deterministic design decisions to ensure systems and automation reliability. Such expectations are collected in this paper in relation to a flavor of systems engineering that relies on explicit knowledge structures, introduced here as “semantics-driven systems engineering”. The paper was motivated by the panel discussion that took place at CAiSE 2023 in Zaragoza, Spain, during the workshop on Knowledge Graphs for Semantics-driven Systems Engineering (KG4SDSE). The workshop brought together Conceptual Modeling researchers with an interest in specific applications of Knowledge Graphs and the semantic enrichment benefits they can bring to systems engineering. The panel context and consensus are summarized at the end of the paper, preceded by a proposed research agenda considering the expressed positions.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Überlegungen zu Zweier- und Dreierbeziehungen mit Liebespuppen und Sexrobotern(Kohlhammer, 2024) Bendel, Oliver; Roesler, Christian; Bröning, Sonja04A - Beitrag SammelbandPublikation Chips, devices, and machines within humans. Bodyhacking as movement, enhancement and adaptation(Narr Francke Attempto, 2021) Bendel, Oliver; Brommer, Sarah; Dürscheid, Christa04A - Beitrag SammelbandPublikation Optimizing an inventory routing problem using a modified tabu search(Springer, 2022) Fink, Marc; Morillo, Lawrence; Hanne, Thomas; Dornberger, Rolf; Saraswat, Mukesh; Sharma, Harish; Balachandran, K.; Kim, Joong Hoon; Bansal, Jagdish Chand04A - Beitrag SammelbandPublikation Ein dialogbasiertes Tutorsystem für projektbasiertes Lernen in der Wirtschaftsinformatikausbildung(Springer, 2023) Witschel, Hans Friedrich; Diwanji, Prajakta; Hinkelmann, Knut; Dornberger, Rolf04A - Beitrag SammelbandPublikation Visualisierung von Mustern für hybrides Lernen und Reasoning mit menschlicher Beteiligung(Springer, 2023) Witschel, Hans Friedrich; Pande, Charuta; Martin, Andreas; Laurenzi, Emanuele; Hinkelmann, Knut; Dornberger, Rolf04A - Beitrag SammelbandPublikation Generative KI aus ethischer Sicht(Schäffer-Poeschel, 2024) Bendel, Oliver; Seufert, Sabine; Handschuh, Siegfried04A - Beitrag SammelbandPublikation A decision-support approach for university incubators(Springer, 2024) Laurenzi, Emanuele; Meyer, Dario; Moesch, Patrick; Hinkelmann, Knut; Smuts, Hanlie04A - Beitrag SammelbandPublikation Can GenAI be used as co-author to explain SCM concepts. A framework and numerical evidence(29.04.2024) Wörner, Dominik; Holzapfel, AndreasGenAI isn't accepted as a scientific co-author. Nevertheless, it’s one way students use to collect information. First, a framework will be presented, how GenAI could be used as co-author. Second, the framework will be assessed and validated by numerical evidence. Lessons learned and recommendations will be shared and discussed.06 - Präsentation