Paper Type
Complete
Paper Number
PACIS2025-1191
Description
This study investigates the theoretical foundations and methodological approaches used in the development of competency models within the Information Systems (IS) field. Drawing on a systematic literature review (SLR) of peer-reviewed publications from 2015 to 2025, the study identifies and categorizes the kernel theories most frequently used to conceptualize IS competencies, as well as the empirical methods applied in model development and validation. The review highlights recurring theoretical frameworks such as Dynamic Capabilities Theory, Self-Determination Theory, and Competency-Based View, and documents a methodological emphasis on surveys, case studies, and qualitative analyses. The findings reveal gaps in the theoretical grounding of many IS competency models and provide guidance for future research on theory-informed model design. This work contributes to the IS literature by clarifying the role of theory in competency modeling and offers practical implications for researchers and practitioners seeking to develop robust, contextually relevant competency frameworks aligned with industry needs.
Recommended Citation
Sattelmaier, Lana and Pawlowski, Jan, "Theories and Methods in Competency Model Development for Information Systems: A Systematic Literature Review" (2025). PACIS 2025 Proceedings. 10.
https://aisel.aisnet.org/pacis2025/general_topic/general_topic/10
Theories and Methods in Competency Model Development for Information Systems: A Systematic Literature Review
This study investigates the theoretical foundations and methodological approaches used in the development of competency models within the Information Systems (IS) field. Drawing on a systematic literature review (SLR) of peer-reviewed publications from 2015 to 2025, the study identifies and categorizes the kernel theories most frequently used to conceptualize IS competencies, as well as the empirical methods applied in model development and validation. The review highlights recurring theoretical frameworks such as Dynamic Capabilities Theory, Self-Determination Theory, and Competency-Based View, and documents a methodological emphasis on surveys, case studies, and qualitative analyses. The findings reveal gaps in the theoretical grounding of many IS competency models and provide guidance for future research on theory-informed model design. This work contributes to the IS literature by clarifying the role of theory in competency modeling and offers practical implications for researchers and practitioners seeking to develop robust, contextually relevant competency frameworks aligned with industry needs.
Comments
General