pro-kom: Partizipative Entwicklung eines praxisnahen Kompetenzdiagnoseinstruments für KMU / pro-kom: Participatory Development of a Practice-Oriented Competence Assessment Tool for SMEs
- Die Dynamik moderner Arbeitswelten stellt kleine und mittlere Unternehmen vor Herausforderungen im Kompetenzmanagement. Fachkräftemangel, Fluktuation und technologische Transformationen erfordern praxisnahe Verfahren zur Erfassung, Analyse und Prognose relevanter Kompetenzen. Im Forschungsprojekt pro-kom wurde ein partizipativ entwickeltes Befragungsinstrument mit elf Kompetenzclustern erstellt, das auf bestehenden Kompetenzmodellen und empirischen Vorarbeiten basiert. In Workshops und Expert*inneninterviews konnte das Instrument validiert werden, um die Akzeptanz sicherzustellen und die Praxisrelevanz zu prüfen und zu bestätigen. Durch die modulare Clusterstruktur bildet das Instrument somit die Basis für ein digitales Tool zur prognosebasierten Kompetenzreflexion und eröffnet Perspektiven für datenbasiertes Personalmanagement und Forschung in KMU.
- The dynamics of modern working environments present small and medium-sized enterprises with challenges in competence management. Skills shortages, staff turnover, and technological transformations require practical methods for recording, analyzing, and forecasting relevant competencies. The pro-kom research project developed a participatory survey tool with eleven competence clusters, building on established competence models and previous empirical research. The survey tool was validated in workshops and expert interviews to ensure acceptance and to test and confirm its practical relevance. Thanks to its modular cluster structure, it forms the basis for a digital tool for forecast-based competence reflection and opens up perspectives for data-based human resources management and research in SMEs.
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| Author: | Timon MalirschORCiD, Nele Schulte-Uebbing, Julian SchallowORCiD |
|---|---|
| ISSN: | 2748-9779 |
| ISSN: | 2748-9760 |
| Parent Title (Multiple languages): | UdZ – The Data-driven Enterprise |
| Subtitle (German): | Wie kann die Erfassung von Schlüsselkompetenzen einfach, verständlich und nutzbar für Unternehmen gestaltet werden? |
| Subtitle (English): | How can the assessment of key competencies be made simple, understandable, and useful for companies? |
| Publisher: | FIR e. V. an der RWTH Aachen |
| Place of publication: | Aachen |
| Document Type: | Contribution to a Periodical |
| Language: | Multiple languages |
| Date of Publication (online): | 2025/12/19 |
| Date of first Publication: | 2025/12/19 |
| Publishing Institution: | FIR e. V. an der RWTH Aachen |
| Release Date: | 2026/04/24 |
| Tag: | 01; KMU; Kompetenzmanagement |
| GND Keyword: | KompetenzsystemGND; Klein- und MittelbetriebGND |
| Volume: | 5 |
| Issue: | 2 |
| First Page: | 64 |
| Last Page: | 70 |
| Relation (DC): | 01IF22572 N |
| Note: | pro-kom: Prognosis-based competence evaluation
The aim of the 'pro-kom' research project is to enable SMEs to identify competence deficits and future competence needs at an early stage and to close existing gaps. With the help of a competence forecasting tool, SMEs should thus be enabled to maintain their competitiveness in the current, continuously changing world of work.
Duration: 01.03.2023 – 31.08.2025
Funding no.: 01IF22572 N
Funding: Federal Ministry for Economic Affairs and Energy (BMWE)
Promoters: DLR Projektträger
Funding context: IGF – Förderprogramm ‚Industrielle Gemeinschaftsforschung‘
Acknowledgments:
This pre-competitive project was funded by the Federal Ministry for Economic Affairs and Climate Action with IGF funds.
Benefits for the Target Group:
The competence forecasting tool opens up the possibility for SMEs to identify existing competence gaps at an early stage based on industry and company-specific market analyses. On this basis, they can select suitable training measures to close these gaps. This enables SMEs to respond to changes at an early stage and thus exploit potential for productivity and efficiency gains. At the same time, the provision and accessibility of this information for SMEs helps to secure the competitiveness of German SMEs.
Research partner:
RIF e. V. – Institut für Forschung und Transfer, Dortmund
Project partners:
AUDI AG, Ingolstadt
BELFOR DeHaDe GmbH, Duisburg
BMW AG, München
Databay AG, Würselen
EBG electro GmbH, Lünen
Forum Vision Instandhaltung e. V., Ratingen
GfPS – Gesellschaft für Produktionshygiene und Sterilitätssicherung mbH, Aachen
Insta GmbH, Lüdenscheid
Kundendienst-Verband Deutschland e. V. (KVD), Dorsten
leifos GmbH, Köln
Mauser + Co. GmbH, Ditzingen-Heimerdingen
Modell Aachen GmbH, Aachen
mosaiic GmbH, München
Netzwerk Industrie RuhrOst e. V. (NIRO), Unna
PAUSCH Medical GmbH, Erlangen
Peers Solutions GmbH, Berlin
REFA Fachverband e. V., Dortmund
Stacke GmbH, Aachen
Vostra GmbH, Aachen |
| Institute / Department: | FIR e. V. an der RWTH Aachen |
| Business Transformation | |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
| Licence (German): |  Creative Commons - CC BY-SA - Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International |
