DBAIJun 3, 2024

Recent Advances in Data-Driven Business Process Management

arXiv:2406.01786v15 citations
Originality Synthesis-oriented
AI Analysis

It tackles the challenge of adapting BPM to data-driven methods for organizations, but it is incremental as it synthesizes existing knowledge rather than introducing new findings.

This position paper addresses the paradigm shift in business process management (BPM) driven by new technologies and data availability, presenting research insights to leverage data-driven approaches for organizational success.

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.

Foundations

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