Recent Advances in Data-Driven Business Process Management
Databases
2024-06-05 v1 Artificial Intelligence
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.
Cite
@article{arxiv.2406.01786,
title = {Recent Advances in Data-Driven Business Process Management},
author = {Lars Ackermann and Martin Käppel and Laura Marcus and Linda Moder and Sebastian Dunzer and Markus Hornsteiner and Annina Liessmann and Yorck Zisgen and Philip Empl and Lukas-Valentin Herm and Nicolas Neis and Julian Neuberger and Leo Poss and Myriam Schaschek and Sven Weinzierl and Niklas Wördehoff and Stefan Jablonski and Agnes Koschmider and Wolfgang Kratsch and Martin Matzner and Stefanie Rinderle-Ma and Maximilian Röglinger and Stefan Schönig and Axel Winkelmann},
journal= {arXiv preprint arXiv:2406.01786},
year = {2024}
}
Comments
position paper, 34 pages, 10 figures