Recent Advances in Data-Driven Business Process Management

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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 ; Winkelmann, Axel:
Recent Advances in Data-Driven Business Process Management.
Bayreuth , 2024 . - 34 S.
DOI: https://doi.org/10.48550/arXiv.2406.01786

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Abstract

The rapid development of cutting-edge technologies, the increasing volume of data and also the availability and processability of new types of data sources has led to a paradigm shift in data-based management and decision-making. Since business processes are at the core of organizational work, these developments heavily impact business process management (BPM) as a crucial success factor for organizations. In view of this emerging potential, data-driven business process management has become a relevant and vibrant research area. Given the complexity and interdisciplinarity of the research field, this position paper therefore presents research insights regarding data-driven BPM.