Abstract

Despite substantial investments in business process management (BPM), every organization experiences deviant processes, i.e., processes that show different behavior than intended. Thus, process deviance is an essential topic of BPM research and practice. Today, research on process deviance is mainly driven from a computer science perspective. IT-based methods and tools (e.g., deviance mining and prediction or compliance checking) detect process deviance by comparing log data from past process instances with normative process models or execution traces of currently running instances. However, requiring process models and event logs as input, existing approaches are expensive and limited to processes executed in automated workflow environments. Further, they can only detect process deviance, not explain why it occurs. Thus, knowledge about reasons for process deviance is immature. What is missing is a systematic exploration of reasons for process deviance. Against this backdrop, we compiled and structured reasons for process deviance based on a rating-type Delphi study with more than 30 experts from industry and academia. Thereby, we chose a process manager’s perspective as analytical lens, as process managers are familiar with and responsible for business processes end-to-end. We also analyzed the reasons’ importance for causing deviance in routine and nonroutine processes, two process types that capture the nature of processes in terms of variation and variety. Our results contribute to the descriptive knowledge on process deviance and serve as foundation for prescriptive research.

Highlights

  • Process orientation is an accepted paradigm of organizational design and a source of corporate performance (Kohlbacher and Reijers 2013; Recker and Mendling 2016)

  • To keep this section focused, we interpret commonalities and differences using the properties of routine and nonroutine processes as analytical lens, which we introduced in Sect

  • To account for the ubiquity of and call for research on process deviance, this study identified, structured, and rated reasons for process deviance that can be assessed from a process manager’s perspective without requiring process models and logs as input

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Summary

Introduction

Process orientation is an accepted paradigm of organizational design and a source of corporate performance (Kohlbacher and Reijers 2013; Recker and Mendling 2016). Despite the value of this contribution, existing approaches are expensive and restricted to business processes executed in automated workflow environments, as they require process models and logs as input (Nguyen et al 2016) Due to their data-driven nature, existing approaches help detect and predict process deviance, but do not explain why it occurs (Depaire et al 2013). Our research question is as follows: Why do business processes deviate?

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