Recent Advances in Data-Driven Business Process Management
Lars Ackermann
Martin Käppel
Laura Marcus
Linda Moder
Sebastian Dunzer
Markus Hornsteiner
Annina Liessmann
Yorck Zisgen
Philip Empl
L. Herm
Nicolas Neis
Julian Neuberger
Leo Poss
Myriam Schaschek
Sven Weinzierl
Niklas Wördehoff
Stefan Jablonski
Agnes Koschmider
Wolfgang Kratsch
Martin Matzner
Stefanie Rinderle-Ma
Maximilian Röglinger
Stefan Schönig
Axel Winkelmann

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.
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