Improving Process Mining Maturity – From Intentions to Actions

Process mining is advancing as a powerful tool for revealing valuable insights about process dynamics. Nevertheless, the imperative to employ process mining to enhance process transparency is a prevailing concern for organizations. Despite the widespread desire to integrate process mining as a pivot...

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Veröffentlicht in:Business & information systems engineering 2024-10, Vol.66 (5), p.585-605
Hauptverfasser: Brock, Jonathan, Brennig, Katharina, Löhr, Bernd, Bartelheimer, Christian, von Enzberg, Sebastian, Dumitrescu, Roman
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container_end_page 605
container_issue 5
container_start_page 585
container_title Business & information systems engineering
container_volume 66
creator Brock, Jonathan
Brennig, Katharina
Löhr, Bernd
Bartelheimer, Christian
von Enzberg, Sebastian
Dumitrescu, Roman
description Process mining is advancing as a powerful tool for revealing valuable insights about process dynamics. Nevertheless, the imperative to employ process mining to enhance process transparency is a prevailing concern for organizations. Despite the widespread desire to integrate process mining as a pivotal catalyst for fostering a more agile and flexible Business Process Management (BPM) environment, many organizations face challenges in achieving widespread implementation and adoption due to deficiencies in various dimensions of process mining readiness. The current Information Systems (IS) knowledge base lacks a comprehensive framework to aid organizations in augmenting their process mining readiness and bridging this intention-action gap. The paper presents a Process Mining Maturity Model (P3M), refined through multiple iterations, which outlines five factors and 23 elements that organizations must address to increase their process mining readiness. The maturity model advances the understanding of how to close the intention-action gap of process mining initiatives in multiple dimensions. Furthermore, insights from a comprehensive analysis of data gathered in eleven qualitative interviews are drawn, elucidating 30 possible actions that organizations can implement to establish a more responsive and dynamic BPM environment by means of process mining.
doi_str_mv 10.1007/s12599-024-00882-7
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subjects Business and Management
Business process management
Digital technology
Enterprise resource planning
Information systems
IT in Business
Knowledge bases (artificial intelligence)
Organizations
Qualitative analysis
Research Paper
title Improving Process Mining Maturity – From Intentions to Actions
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