From Process Mining Insights to Process Improvement: All Talk and No Action?

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Organizations from various domains use process mining to better understand, analyze, and improve their business processes. While the overall value of process mining has been shown in several contexts, little is known about the specific actions that are taken to move from process mining insights to process improvement. In this work, we address this research gap by conducting a systematic literature review. Specifically, we investigate which types of actions have been taken in existing studies and to which insights these actions are linked. Our findings show that there exists a large variety of actions. Many of these actions do not only relate to changes to the investigated process but also to the associated information systems, the process documentation, the communication between staff members, and personnel training. Understanding the diversity of the actions triggered by process mining insights is important to instigate future research on the different aspects of translating process mining insights into process improvement. The insights-to-action realm presented in this work can inform and inspire new process mining initiatives and prepare for the effort required after acquiring process mining insights.
Original languageEnglish
Title of host publicationCooperative Information Systems - 29th International Conference, CoopIS 2023, Proceedings
Subtitle of host publication29th International Conference, CoopIS 2023, Groningen, The Netherlands, October 30–November 3, 2023, Proceedings
EditorsMohamed Sellami, Walid Gaaloul, Maria-Esther Vidal, Boudewijn van Dongen, Hervé Panetto
PublisherSpringer
Pages275-292
Number of pages18
ISBN (Electronic)978-3-031-46846-9
ISBN (Print)978-3-031-46845-2
DOIs
Publication statusPublished - 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14353 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Process mining
  • Insights to action
  • Process improvement
  • Systematic literature review

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