Recent Advances in Data-Driven Business Process Management

Autor:	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
Rok vydání:	2024
Předmět:	Computer Science - Databases Computer Science - Artificial Intelligence 68U35 68T07 68T07 68U35 68T01 H.4.1 I.2.1 I.2.6 I.2.7 H.2.8 K.6.1
Druh dokumentu:	Working Paper
Popis:	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. Comment: position paper, 34 pages, 10 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2406.01786 Zobrazit plný text záznamu View this record from Arxiv