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A Case Study of Inconsistency in Process Mining Use: Implications for the Theory of Effective Use

Published: 06 September 2021 Publication History

Abstract

Responding to recent and repeated calls in literature, we sought to understand the effective use of business intelligence systems, specifically process mining. The intersection between effective use and business intelligence is pertinent to practice, as these systems do not automatically result in improved organizational outcomes, rather they must first be effectively used. Through a qualitative case study, we examined the effective use of process mining (analytical technique underpinning business intelligence), whereby inconsistency-in-use emerged as salient. We, therefore, shifted our focus to understanding the role of inconsistency-in-use in the effective use of process mining. We identified inconsistencies in: place, meaning, and content (i.e., entanglement of data and information). These types of inconsistency were interrelated and influenced informed action. Inconsistency in content also had implications for representational fidelity. Given, both informed action and representational fidelity are effective use dimensions, these inconsistencies need to be considered for process mining systems to be effectively used.

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  • (2022)Applying Process Mining in Small and Medium Sized IT Enterprises – Challenges and GuidelinesBusiness Process Management10.1007/978-3-031-16103-2_11(125-142)Online publication date: 11-Sep-2022

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cover image Guide Proceedings
Business Process Management: 19th International Conference, BPM 2021, Rome, Italy, September 06–10, 2021, Proceedings
Sep 2021
479 pages
ISBN:978-3-030-85468-3
DOI:10.1007/978-3-030-85469-0
  • Editors:
  • Artem Polyvyanyy,
  • Moe Thandar Wynn,
  • Amy Van Looy,
  • Manfred Reichert

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Berlin, Heidelberg

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Published: 06 September 2021

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  • (2022)Applying Process Mining in Small and Medium Sized IT Enterprises – Challenges and GuidelinesBusiness Process Management10.1007/978-3-031-16103-2_11(125-142)Online publication date: 11-Sep-2022

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