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Leo Poss studied Business Information Systems (Wirtschaftsinformatik) at the University of Regensburg, the Otto-Friedrich-Universität Bamberg and the Universidad de Huelva in Spain. His major field of study were Internet Business and IT-Security as well as Big Data approaches for Data and especially Text Mining. During his studies he gained academical experiences at the Chair of Statistics and Risk Management of the University Regensburg and professional experiences as fullstack developer during his time as a working student.

Since April 2022 Leo Poss is a research assistant in the TRADEmark (IoT-basiertes Daten- und Prozessmanagement im Handwerk) research project.

Research topics

  • Business Process Management (BPM)
  • Context-awareness
  • Location-based BPMN
  • Responsible BPM (Ethics-aware BPM)

Funded Projects

Awards

  • Best Paper Runner-Up at the International Conference on Cooperative Information Systems (CoopIS 2023)

Publications

  • Kern, Christopher Julian, Poss, Leo, Kroenung, Julia and Schönig, Stefan (2024) Navigating the moral maze: a literature review of ethical values in business process management.
     Business Process Management Journal, 30 (8), 343—370.
    https://dx.doi.org/10.1108/BPMJ-06-2024-0504
  • Ackermann, Lars, Käppel, Martin, Marcus, Laura, Moder, Linda, Dunzer, Sebastian, Hornsteiner, Markus, Liessmann, Annina, Zisgen, Yorck, Empl, Philip, Herm, Lukas-Valentin, Neis, Nicolas, Neuberger, Julian, Poss, Leo, Schaschek, Myriam, Weinzierl, Sven, Wördehoff, Niklas, Jablonski, Stefan, Koschmider, Agnes, Kratsch, Wolfgang, Matzner, Martin, Rinderle-Ma, Stefanie, Röglinger, Maximilian, Schönig, Stefan and Winkelmann, Axel (2024) Recent Advances in Data-Driven Business Process Management.
     CoRR, abs/2406.01786
    https://dx.doi.org/10.48550/ARXIV.2406.01786
  • Poss, Leo, Dietz, Lukas and Schönig, Stefan (2023) LABPMN: Location-Aware Business Process Modeling and Notation.
    in: Mohamed Sellami and Maria-Esther Vidal and Boudewijn van Dongen and Walid Gaaloul and Hervé Panetto (eds.) Proceedings of the International Conference on Cooperative Information Systems (CoopIS) 2023. Springer Nature Switzerland, 198—216. ISBN 9783031468469.
    https://dx.doi.org/10.1007/978-3-031-46846-9_11
  • Poss, Leo and Schönig, Stefan (2023) A Generic Approach Towards Location-Aware Business Process Execution.
    , 479 in: Han van der Aa and Dominik Bork and Henderik A. Proper and Rainer Schmidt (eds.) Enterprise, Business-Process and Information Systems Modeling - 24th International Conference, BPMDS 2023, and 28th International Conference, EMMSAD 2023, Zaragoza, Spain, June 12-13, 2023, Proceedings. Springer, 103—118.
    https://dx.doi.org/10.1007/978-3-031-34241-7_8
  • Poss, Leo and Schönig, Stefan (2023) A Generic Approach Towards Location-Aware Business Process Execution.
    in: Han van der Aa and Dominik Bork and Hendrik Proper and Rainer Schmidt (eds.) Enterprise, Business-Process and Information Systems Modeling. Springer Nature Switzerland, Cham, 103—118. ISBN 9783031342417.
    https://dx.doi.org/10.1007/978-3-031-34241-7_8
  • Poss, Leo, Dietz, Lukas and Schönig, Stefan (2023) LABPMN: Location-Aware Business Process Modeling and Notation.
    , 14353 in: Mohamed Sellami and Maria-Esther Vidal and Boudewijn F. van Dongen and Walid Gaaloul and Hervé Panetto (eds.) Cooperative Information Systems - 29th International Conference, CoopIS 2023, Groningen, The Netherlands, October 30 - November 3, 2023, Proceedings. Springer, 198—216.
    https://dx.doi.org/10.1007/978-3-031-46846-9_11
  • Poss, Leo, Jasinski, Richard, Market, Michael and Schönig, Stefan (2023) TRADEmark - Using Location Data for Mobile Distributed Processes in BPM.
    , 3552 in: Felix Mannhardt and Nour Assy (eds.) Proceedings of the Demonstration Track co-located with the International Conference on Cooperative Information Systems 2023, CoopIS 2023, Groningen, The Netherlands, October 30 - November 3, 2023. CEUR-WS.org, 1—5.
  • Poss, Leo, Jasinski, Richard, Market, Michael and Schönig, Stefan (2023) TRADEmark - Using Location Data for Mobile Distributed Processes in BPM (Extended Abstract).
    in: Felix Mannhardt and Nour Assy (eds.) Proceedings of the Demonstration Track at International Conference on Cooperative Information Systems 2023,CoopIS 2023, Groningen, The Netherlands, October 30 - November 3, 2023.
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