Recent Advances in Data-Driven Business Process Management

Ackermann L, Käppel M, Marcus L, Moder L, Dunzer S, Hornsteiner M, Ließmann A, Zisgen Y, Empl P, Herm LV, Neis N, Neuberger J, Schaschek M, Weinzierl S, Wörderhoff N, Jablonski S, Koschmider A, Kratsch W, Matzner M, Rinderle-Ma S, Röglinger M, Schönig S, Winkelmann A (2024)

Publication Language: English

Publication Type: Other publication type

Publication year: 2024

URI: https://arxiv.org/abs/2406.01786

Open Access Link: https://arxiv.org/abs/2406.01786

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.

Authors with CRIS profile

Involved external institutions

Julius-Maximilians-Universität Würzburg Germany (DE) Universität Bayreuth Germany (DE) FIM Research Center for Information Management Germany (DE) Universität Regensburg Germany (DE) Technische Universität München (TUM) Germany (DE)

How to cite

APA:

Ackermann, L., Käppel, M., Marcus, L., Moder, L., Dunzer, S., Hornsteiner, M.,... Winkelmann, A. (2024). Recent Advances in Data-Driven Business Process Management.

MLA:

Ackermann, Lars, et al. Recent Advances in Data-Driven Business Process Management. 2024.

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