The Impact of Process Complexity on Process Performance: A Study Using Event Log Data

Vidgof, Maxim ; Wurm, Bastian and Mendling, Jan (September 2023): The Impact of Process Complexity on Process Performance: A Study Using Event Log Data. Business Process Management 21st International Conference, BPM 2023, Utrecht, The Netherlands, September 11–15, 2023. Di Francescomarino, C.; Burattin, A.; Janiesch, C. and Sadiq, S. (eds.) : In: Business Process Management. 21st International Conference, BPM 2023, Utrecht, The Netherlands, September 11–15, 2023, Proceedings, Lecture Notes in Computer Science Vol. 14159 Springer: Cham. pp. 413-429

Abstract

Complexity is an important characteristic of any business process. The key assumption of much research in Business Process Management is that process complexity has a negative impact on process performance. So far, behavioral studies have measured complexity based on the perception of process stakeholders. The aim of this study is to investigate if such a connection can be supported based on the analysis of event log data. To do so, we employ a set of 38 metrics that capture different dimensions of process complexity. We use these metrics to build various regression models that explain process performance in terms of throughput time. We find that process complexity as captured in event logs explains the throughput time of process executions to a considerable extent, with the respective R-squared reaching up to 0.96. Our study offers implications for empirical research on process performance and can serve as a toolbox for practitioners.

• Item Type: Conference or Workshop Item (Paper)
• Keywords: Process complexity, Process performance, Throughput time
• Faculties: Munich School of Management > Institute for Digital Management and New Media > Process and Algorithmic Management
• Subjects: 300 Social sciences > 330 Economics
• Place of Publication: Springer
• Language: English