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Completing the Skills Puzzle: Developing a Skills Profile Data Model

In: Digital Innovation and Organizational Transformation

Author

Listed:
  • Leonie Rebecca Freise

    (University of Kassel, Information Systems)

  • Ulrich Bretschneider

    (University of Kassel, Information Systems)

Abstract

In today’s working world, driven by technological progress, there is a growing need to adapt and update skills to remain competitive. Employers need qualified employees, and employees want to develop their job-related skills, so skills profiles are becoming more prevalent. These profiles comprise skills that individuals bring to their jobs and develop over employment. When used effectively, they offer benefits in attracting, retaining, and developing talent, as well as in staffing and performance management. This paper proposes a data model for such profiles. Drawing upon a systematic literature review and interviews with employees, we derived the critical aspects of a skill profile data model. We further demonstrate the complexity and the need for a structured approach to include a bottom-up perspective. This research contributes to the theoretical understanding of skills profile data models by including the employee perspectives. It further provides insights for organizations to develop a skilled workforce.

Suggested Citation

  • Leonie Rebecca Freise & Ulrich Bretschneider, 2026. "Completing the Skills Puzzle: Developing a Skills Profile Data Model," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Digital Innovation and Organizational Transformation, pages 207-222, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-08483-5_14
    DOI: 10.1007/978-3-032-08483-5_14
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