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Automated Competence Assessment Procedures in Entrepreneurship

Author

Listed:
  • Markus Marschhäuser

    (Germany Institute of Digital Engineering, Technical University of Applied Sciences Würzburg-Schweinfurt, 97070 Würzburg, Germany)

  • Fabienne Riesel

    (Germany Institute of Digital Engineering, Technical University of Applied Sciences Würzburg-Schweinfurt, 97070 Würzburg, Germany)

  • Volker Bräutigam

    (Germany Institute of Digital Engineering, Technical University of Applied Sciences Würzburg-Schweinfurt, 97070 Würzburg, Germany)

Abstract

This study endeavors to automate the assessment of competencies within the domain of entrepreneurship, specifically targeting the augmentation of entrepreneurial cognition and conduct within universities in German rural regions, like Lower Franconia. Employing methods, including literature analyses and expert interviews, we formulated and validated an entrepreneurship competence profile and accompanying self-assessment tool. The ensuing evaluative framework is poised for seamless integration into learning management systems, thereby facilitating intelligent competence monitoring within educational environments. Purpose: The aim of this thesis is to develop an automated competence assessment procedure in the field of entrepreneurship. This can be used in the university environment in the long term to promote and teach entrepreneurial thinking and behavior in order to sustainably improve the quality of learning outcomes and achieve targeted promotion of entrepreneurship. Methodology: Based on a relevant literature analysis, four guideline-based expert interviews were created and conducted. The results of the interviews were compiled and validated in a structured competence profile (entrepreneurship competence profile). Based on this competence catalog for entrepreneurs, an empirically valid self-test was created using standard psychometric questionnaire construction methods. Results: The entrepreneurship competence profile and a consequential empirically validated self-test for competence assessment were created. This test provides the basis for the long-term competence development of students and can further be embedded automatically into a learning management system (LMS) as part of intelligent competence monitoring, which allows for the recording of competencies for each student and the individual incorporation of gap closure into the curriculum. Originality/value: In previous research, there were no competence profiles or competence assessment procedures in the field of entrepreneurship that derived relevant competencies directly from actors within this environment. This work illustrates the development of a competence assessment procedure for entrepreneurs and shows which methods can be used to close prevailing research gaps in the field of intelligent competence monitoring.

Suggested Citation

  • Markus Marschhäuser & Fabienne Riesel & Volker Bräutigam, 2024. "Automated Competence Assessment Procedures in Entrepreneurship," Merits, MDPI, vol. 4(2), pages 1-18, May.
    • Handle: RePEc:gam:jmerit:v:4:y:2024:i:2:p:13-190:d:1387653
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    References listed on IDEAS

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    2. Per Davidsson & Jan Henrik Gruenhagen, 2021. "Fulfilling the Process Promise: A Review and Agenda for New Venture Creation Process Research," Entrepreneurship Theory and Practice, , vol. 45(5), pages 1083-1118, September.
    3. Tõnis Mets & Mervi Raudsaar & Kaire Vahejõe & Merike Kaseorg & Piia Vettik-Leemet, 2022. "Putting Entrepreneurial Process Competence into the Focus in Entrepreneurship Education: Experience from Estonian Universities," Administrative Sciences, MDPI, vol. 12(2), pages 1-23, June.
    4. Piia Vettik-Leemet & Tõnis Mets, 2024. "Entrepreneurship and Innovation—Process Overlap or the Same? Systematic Overview and Converging Process-Dynamic Model," Administrative Sciences, MDPI, vol. 14(2), pages 1-28, February.
    5. Bacigalupo Margherita & Kampylis Panagiotis & Punie Yves & Van Den Brande Godelieve, 2016. "EntreComp: The Entrepreneurship Competence Framework for Citizens," JRC Research Reports JRC101581, Joint Research Centre.
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