On the composition of the long tail of business processes: Implications from a process mining study. Issue 97 (March 2021)

• Record Type: Journal Article
• Authors: Fischer, Marcus; Hofmann, Adrian; Imgrund, Florian; Janiesch, Christian; Winkelmann, Axel
• Is Part Of: Information systems. Issue 97(2021)
• Publication Date: 2021-03
• Subjects: Business Process Management -- Long tail of business processes -- Process mining -- Process performance indicators; Database management -- Periodicals; Electronic data processing -- Periodicals; Bases de données -- Gestion -- Périodiques; Informatique -- Périodiques; Database management; Electronic data processing; Periodicals; 005.7
• DOI: 10.1016/j.is.2020.101689
• Languages: English
• ISSNs: 0306-4379

Abstract

Abstract: Digital transformation forces companies to rethink their processes to meet current customer needs. Business Process Management (BPM) can provide the means to structure and tackle this change. However, most approaches to BPM face restrictions on the number of processes they can optimize at a time due to complexity and resource restrictions. Investigating this shortcoming, the concept of the long tail of business processes suggests a hybrid approach that entails managing important processes centrally, while incrementally improving the majority of processes at their place of execution. This study scrutinizes this observation as well as corresponding implications. First, we define a system of indicators to automatically prioritize processes based on execution data. Second, we use process mining to analyze processes from multiple companies to investigate the distribution of process value in terms of their process variants. Third, we examine the characteristics of the process variants contained in the short head and the long tail to derive and justify recommendations for their management. Our results suggest that the assumption of a long-tailed distribution holds across companies and indicators and also applies to the overall improvement potential of processes and their variants. Across all cases, process variants in the long tail were characterized by fewer customer contacts, lower execution frequencies, and a larger number of involved stakeholders, making them suitable candidates for distributed improvement Highlights: Process importance, health, and feasibility can be quantified using common event log configurations. Prioritized process distributions typically show a long-tailed distribution. Generalization of characteristics for short head and long tail processes needs further exploration.