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A typological theory of roles in process mining : conceptualising competencies through text mining of job vacancy data

Simin Maleki Shamasbi (UGent) , Amy Van Looy (UGent) , Barbara Weber and Maximilian Roeglinger
(2025) ENTERPRISE INFORMATION SYSTEMS. 19(11). p.1434-1468
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Abstract
Process mining is revolutionising how organisations optimise operational processes by applying sophisticated algorithms to historical data from contemporary information systems. Despite recent efforts to address the organisational aspects of process mining, a crucial gap in comprehensive understanding of competency requirements for successful implementation remains. This study integrates theoretical insights with empirical job vacancy data to develop a typology of roles, including a competency framework and ideal role types. Using topic modelling, cluster analysis, rigorous evaluation metrics, and consensus-building, this study ensures validity and reliability. It offers practical and theoretical insights to support effective organisational adoption and success in process mining initiatives.
Keywords
Process mining, competency framework, skill, typology, topic modelling, LDA, job advertisement, Latent Dirichlet Allocation, vacancy, tex mining, MODEL, PROFESSIONALS, TECHNOLOGY, MANAGEMENT, KNOWLEDGE

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Citation

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MLA
Maleki Shamasbi, Simin, et al. “A Typological Theory of Roles in Process Mining : Conceptualising Competencies through Text Mining of Job Vacancy Data.” ENTERPRISE INFORMATION SYSTEMS, vol. 19, no. 11, 2025, pp. 1434–68, doi:10.1080/17517575.2025.2521389.
APA
Maleki Shamasbi, S., Van Looy, A., Weber, B., & Roeglinger, M. (2025). A typological theory of roles in process mining : conceptualising competencies through text mining of job vacancy data. ENTERPRISE INFORMATION SYSTEMS, 19(11), 1434–1468. https://doi.org/10.1080/17517575.2025.2521389
Chicago author-date
Maleki Shamasbi, Simin, Amy Van Looy, Barbara Weber, and Maximilian Roeglinger. 2025. “A Typological Theory of Roles in Process Mining : Conceptualising Competencies through Text Mining of Job Vacancy Data.” ENTERPRISE INFORMATION SYSTEMS 19 (11): 1434–68. https://doi.org/10.1080/17517575.2025.2521389.
Chicago author-date (all authors)
Maleki Shamasbi, Simin, Amy Van Looy, Barbara Weber, and Maximilian Roeglinger. 2025. “A Typological Theory of Roles in Process Mining : Conceptualising Competencies through Text Mining of Job Vacancy Data.” ENTERPRISE INFORMATION SYSTEMS 19 (11): 1434–1468. doi:10.1080/17517575.2025.2521389.
Vancouver
1.
Maleki Shamasbi S, Van Looy A, Weber B, Roeglinger M. A typological theory of roles in process mining : conceptualising competencies through text mining of job vacancy data. ENTERPRISE INFORMATION SYSTEMS. 2025;19(11):1434–68.
IEEE
[1]
S. Maleki Shamasbi, A. Van Looy, B. Weber, and M. Roeglinger, “A typological theory of roles in process mining : conceptualising competencies through text mining of job vacancy data,” ENTERPRISE INFORMATION SYSTEMS, vol. 19, no. 11, pp. 1434–1468, 2025.
@article{01K6AZ5BH2CND3W0ZM8Z7NMJ30,
  abstract     = {{Process mining is revolutionising how organisations optimise operational processes by applying sophisticated algorithms to historical data from contemporary information systems. Despite recent efforts to address the organisational aspects of process mining, a crucial gap in comprehensive understanding of competency requirements for successful implementation remains. This study integrates theoretical insights with empirical job vacancy data to develop a typology of roles, including a competency framework and ideal role types. Using topic modelling, cluster analysis, rigorous evaluation metrics, and consensus-building, this study ensures validity and reliability. It offers practical and theoretical insights to support effective organisational adoption and success in process mining initiatives.}},
  articleno    = {{2521389}},
  author       = {{Maleki Shamasbi, Simin and Van Looy, Amy and Weber, Barbara and Roeglinger, Maximilian}},
  issn         = {{1751-7575}},
  journal      = {{ENTERPRISE INFORMATION SYSTEMS}},
  keywords     = {{Process mining,competency framework,skill,typology,topic modelling,LDA,job advertisement,Latent Dirichlet Allocation,vacancy,tex mining,MODEL,PROFESSIONALS,TECHNOLOGY,MANAGEMENT,KNOWLEDGE}},
  language     = {{eng}},
  number       = {{11}},
  pages        = {{2521389:1434--2521389:1468}},
  title        = {{A typological theory of roles in process mining : conceptualising competencies through text mining of job vacancy data}},
  url          = {{http://doi.org/10.1080/17517575.2025.2521389}},
  volume       = {{19}},
  year         = {{2025}},
}
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