Process Mining in Organizational Environments: A Systematic Literature Review

Document Type : Research Paper

Authors

1 Professor Department of Knowledge and Information science, University of Qom, Qom, Iran;

2 Department of Knowledge and Information science, University of Qom, Qom, Iran;

10.22059/jlib.2025.388900.1769

Abstract

Objective: Modern organizations, as complex and dynamic systems, require advanced technologies for effective process management. Process mining, a novel data mining technique, plays a key role in improving operational efficiency and decision-making. This field analyzes event logs to model, analyze, and improve processes. Given the burgeoning research, a systematic review of process mining is crucial to identify new research opportunities.
Method: This research systematically examines existing studies to address current needs and future research directions in process mining within organizations. Selection criteria included content, research design, language, publication date, and document type. After screening, 31 papers were selected and analyzed.
Results: Findings revealed that process mining research in the 2010s initially focused on theoretical foundations and basic applications. Mid-decade saw a shift towards developing methods and practical applications across various industries. The 2020s witnessed significant advancements leveraging artificial intelligence and machine learning for more accurate data analysis. Recent research emphasizes innovative areas such as information security and privacy. Furthermore, the development of maturity models and the use of modern tools are shown to be progressing.
Conclusions: As process mining is a powerful tool for process improvement and organizational management, research demonstrates its success in identifying weaknesses, offering improvement solutions, and reducing costs. Findings also indicate that using AI and machine learning makes data analysis more precise and results more efficient. However, access to quality data and process complexity pose challenges. Future research in this emerging field can lead to the development of new methods and tools, resulting in significant organizational transformations.

Keywords

References

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Academic Librarianship and Information Research
Volume 59, Issue 1
March 2025
Pages 1-22

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