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

arXiv.org Artificial Intelligence 

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.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found