Recent Advances in Data-Driven Business Process Management
<|reference_start|>Recent Advances in Data-Driven Business Process Management: 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.<|reference_end|>
@article{ackermann2024recent,
    title={Recent Advances in Data-Driven Business Process Management},
    author={Lars Ackermann, Martin K"appel, Laura Marcus, Linda Moder, Sebastian
  Dunzer, Markus Hornsteiner, Annina Liessmann, Yorck Zisgen, Philip Empl,
  Lukas-Valentin Herm, Nicolas Neis, Julian Neuberger, Leo Poss, Myriam
  Schaschek, Sven Weinzierl, Niklas W"ordehoff, Stefan Jablonski, Agnes
  Koschmider, Wolfgang Kratsch, Martin Matzner, Stefanie Rinderle-Ma,
  Maximilian R"oglinger, Stefan Sch"onig, Axel Winkelmann},
    journal={arXiv preprint arXiv:2406.01786},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.01786},
    primaryClass={cs.DB cs.AI}
}