Improving Process Mining Maturity – From Intentions to Actions

Jonathan Brock (), Katharina Brennig, Bernd Löhr, Christian Bartelheimer, Sebastian Enzberg and Roman Dumitrescu
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Jonathan Brock: Fraunhofer Institute for Mechatronic Systems Design IEM
Katharina Brennig: Paderborn University
Bernd Löhr: Paderborn University
Christian Bartelheimer: Paderborn University
Sebastian Enzberg: Fraunhofer Institute for Mechatronic Systems Design IEM
Roman Dumitrescu: Fraunhofer Institute for Mechatronic Systems Design IEM

Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, 2024, vol. 66, issue 5, No 4, 585-605

Abstract: Abstract 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.

Keywords: Process mining; Business process management; Process dynamics; Process mining capabilities; Maturity model (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s12599-024-00882-7

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