A typological theory of roles in process mining: conceptualising competencies through text mining of job vacancy data
Journal
Enterprise Information Systems
ISSN
1751-7575
ISSN-Digital
1751-7583
Type
journal article
Date Issued
2025-06-30
Author(s)
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.
Language
English
Keywords
Process mining
competency framework
skill
typology
topic modelling
LDA
job advertisement
Latent Dirichlet Allocation
vacancy
text mining
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Informa UK Limited
Volume
19
Number
11
Subject(s)
Division(s)