Process Mining for Root Cause Analysis: A Systematic Literature Review

Process mining techniques mostly focus on process discovery, conformance checking, and business process performance. However, relatively little research has been done on analyzing and identifying the root causes of compliance and performance issues in process mining. In this paper, we present a systematic literature review (SLR) that explores the use, stages, approaches, challenges of applying process mining to root cause analysis (RCA) in business processes from an empirical perspective. This SLR offers an overview of the state-of-the-art and applications of process mining in RCA, highlighting opportunities to address challenges and practical limitations in this domain. The findings aim to support the implement of novel RCA techniques and guide the selection of appropriate RCA methods with specific features tailored to various needs.

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Publication Details

Journal
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Published
2025-09-01
DOI
https://doi.org/10.21597/jist.1594801
Primary Topic
Business Process Modeling and Analysis
Type
article
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article

Process Mining for Root Cause Analysis: A Systematic Literature Review

Tuğba Gürgen Erdoğan
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Business Process Modeling and Analysis
article

Process Mining for Root Cause Analysis: A Systematic Literature Review

Tuğba Gürgen Erdoğan
article en

Abstract

Process mining techniques mostly focus on process discovery, conformance checking, and business process performance. However, relatively little research has been done on analyzing and identifying the root causes of compliance and performance issues in process mining. In this paper, we present a systematic literature review (SLR) that explores the use, stages, approaches, challenges of applying process mining to root cause analysis (RCA) in business processes from an empirical perspective. This SLR offers an overview of the state-of-the-art and applications of process mining in RCA, highlighting opportunities to address challenges and practical limitations in this domain. The findings aim to support the implement of novel RCA techniques and guide the selection of appropriate RCA methods with specific features tailored to various needs.

Iğdır Üniversitesi Fen Bilimleri Enstitüsü DergisiVol. 15(3)
Hacettepe University (TR)
Openalex Percentile: Top 61%
Business Process Modeling and Analysis
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