University incubators support students in the creation of innovative startups and promise to play a crucial role in fostering economic growth in the Society 5.0 paradigm. However, most of these incubators are still in their infancy, making their success a trial-and-error practice. To foster the fast successful development of incubators by universities, this paper proposes a decision-support system (DSS). The latter has been built by following the Design Science Research methodology, where the design was driven by accommodating findings from both the literature and interviews with 7 Swiss university incubators. The approach has been instantiated in a web-based questionnaire, which outputs a radar chart containing an assessment of critical success factors. This provides awareness of and suggestions about what shall be improved, thus supporting decision-making. The evaluation was carried out to prove the system’s correctness by showing that values of critical success factors were calculated correctly for each university incubator involved in the study. This work is the first attempt toward an open-source decision-support system that each university incubator can use and extend to increase its success ratio.

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A Decision-Support Approach for University Incubators

  • Emanuele Laurenzi,
  • Dario Meyer,
  • Patrick Moesch

摘要

University incubators support students in the creation of innovative startups and promise to play a crucial role in fostering economic growth in the Society 5.0 paradigm. However, most of these incubators are still in their infancy, making their success a trial-and-error practice. To foster the fast successful development of incubators by universities, this paper proposes a decision-support system (DSS). The latter has been built by following the Design Science Research methodology, where the design was driven by accommodating findings from both the literature and interviews with 7 Swiss university incubators. The approach has been instantiated in a web-based questionnaire, which outputs a radar chart containing an assessment of critical success factors. This provides awareness of and suggestions about what shall be improved, thus supporting decision-making. The evaluation was carried out to prove the system’s correctness by showing that values of critical success factors were calculated correctly for each university incubator involved in the study. This work is the first attempt toward an open-source decision-support system that each university incubator can use and extend to increase its success ratio.