Completing the Skills Puzzle: Developing a Skills Profile Data Model
Journal
19. InternationaleTagung der Wirtschaftsinformatik (Wi24)
Type
conference paper
Date Issued
2024-09-19
Author(s)
Leonie Rebecca Freise
;
Ulrich Bretschneider
Research Team
IWI6
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.
Language
English
Keywords
Skills Profiles
Data Model
Employee Perspective
Qualitative Research
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher place
Würzburg, Germany
Pages
16
Event Title
19. InternationaleTagung der Wirtschaftsinformatik (Wi24)
Event Location
Würzburg, Germany
Event Date
16.–19.09.2024
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
open.access
Name
JML_977.pdf
Size
341.7 KB
Format
Adobe PDF
Checksum (MD5)
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