Process Mining Benefits Model: A Preliminary Study
Process mining is a family of tools and techniques that analyzes business process data, collected by information systems, through a process lens. This technology can be used by organizations to discover valuable insights, identify bottlenecks, and improve business processes. However, despite the growing popularity of process mining in the industry, there is limited understanding of its benefits and success factors. This study aims to fill the gap by providing a set of guidelines to understand the benefits and success factors of process mining, as well as potential inhibitors that may hinder such benefits. As the study remains ongoing, this paper provides a preliminary assessment of the benefits and success factors of process mining through a literature review to identify the benefits, success factors, and inhibitors or process mining before we construct a PMBM framework. Our findings will help organizations making an informed decision when adopting process mining to maximize the success factors and remain conscious of the barriers that can hinder the benefits of this technology.
Authors
- Sherah Kurnia (ORCID: https://orcid.org/0000-0003-4232-3580)
- Abel Armas-Cervantes (ORCID: https://orcid.org/0000-0003-0628-2451)
- Nungki Dian Sulistyo Darmayanti
- Arti Dian Nastiti (ORCID: https://orcid.org/0009-0002-3464-3349)
Institutions
- The University of Melbourne (AU)
- National Research and Innovation Agency (ID)
Publication Details
- Published
- 2024-10-09
- DOI
- https://doi.org/10.1109/ic3ina64086.2024.10732567
- Primary Topic
- Business Process Modeling and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00