Recent Advances in Data-Driven Business Process Management

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

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Titel:: Recent Advances in Data-Driven Business Process Management
Dokumenttyp:: Verschiedenes
Autor(en):: 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
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 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. «
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 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 a... »
Stichworte:: Computer Science - Artificial Intelligence, I.2.1, I.2.6, Computer Science - Databases, 68U35 68T07 68T07, 68U35, 68T01, H.2.8, H.4.1, I.2.7, K.6.1
Verlag/Institution:: arXiv
Monat:: June
Jahr:: 2024
Hinweis:: arXiv:2406.01786 [cs]
URL:: http://arxiv.org/abs/2406.01786
DOI-Link:: doi:10.48550/arxiv.2406.01786
Sprache:: de
BibTeX

Vorkommen:

mediaTUM Gesamtbestand Einrichtungen Schools TUM School of Computation, Information and Technology Departments Computer Science Informatik 17 - Lehrstuhl für Wirtschaftsinformatik und Geschäftsprozessmanagement (Prof. Rinderle-Ma)