A Decision Support System for University Incubators to Maximize Impact on Entrepreneurial Success

Universities of applied sciences play a vital role in the Swiss education system, evolving beyond their traditional educational scope to embrace innovation and entrepreneurship. This shift underscores these institutions’ need to manage their incubators effectively, mainly as existing research on critical success factors for incubators predominantly addresses traditional universities.

Moesch, Patrick, 2023

Art der Arbeit Master Thesis
Auftraggebende
Betreuende Dozierende Laurenzi, Emanuele, Meyer, Dario
Keywords
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This thesis aims to fill this gap by developing a decision support system for universities of applied sciences incubators. It utilizes identified critical success factors to augment its operational effectiveness and bolster its role in fostering economic growth.
Employing Design Science Research, this study combines logical reasoning with a pragmatic approach in a multi-method qualitative analysis. A semi-systematic literature review was conducted to establish a foundational knowledge base. Primary data was then gathered through expert interviews, culminating in the evaluation phase, where the generated radar chart for performance evaluation was applied and critically assessed against pre-defined success metrics.
The utility evaluation of this radar chart affirms its practical contribution to the challenge of assessing and enhancing incubator performance, exemplifying successful utility evaluation within this context. The resulting decision support system offers comprehensive support to universities of applied sciences incubators, facilitating strategic planning, enhancing decision-making processes, and providing a robust framework for data processing. Conclusively, this research advances decision-making within university incubators and presents an effective tool for visually representing performance, thereby supporting startups more effectively and enhancing their growth potential.
Studiengang: Business Information Systems (Master)
Vertraulichkeit: öffentlich
Art der Arbeit
Master Thesis
Autorinnen und Autoren
Moesch, Patrick
Betreuende Dozierende
Laurenzi, Emanuele, Meyer, Dario
Publikationsjahr
2023
Sprache der Arbeit
Englisch
Vertraulichkeit
öffentlich
Studiengang
Business Information Systems (Master)
Standort Studiengang
Olten