• Title/Summary/Keyword: Laboratory Specialized Leading University Project

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An Empirical Study on the Effect of Laboratory Start-up Support Projects on Start-up Performance (창업지원사업의 창업성과에 미치는 효과 실증 연구)

  • Da-Eun Kim;Joonsoo Bae;Jin-Gyu Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.spc
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    • pp.79-88
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    • 2023
  • This research aims to validate the effectiveness of the "Specialized Entrepreneurship University Program," which was conducted as part of government entrepreneurship support initiatives from 2018 to 2022. Based on previous studies, a research model was derived consisting of three laboratory entrepreneurship support factors that influence program satisfaction and entrepreneurial outcomes (infrastructure support, educational mentoring support, and business linkage support). Surveys were collected and analyzed from 126 laboratory entrepreneurship firms participating in the program, and empirical analysis of the research model was conducted using SPSS 23.0 statistical software. The analysis results indicated that the three variables, namely infrastructure support, educational mentoring support, and business linkage support, were significant factors affecting program satisfaction, and program satisfaction was confirmed to influence entrepreneurial outcomes. Furthermore, it was found that the three business operation factors indirectly influenced entrepreneurial outcomes by partially mediating program satisfaction. This study is considered significant as an empirical study for the initial stage of the second-phase program enhancement, verifying the effectiveness of laboratory entrepreneurship support factors. The findings can be applied to similar government entrepreneurship support initiatives and contribute to the effective strategy and planning of stakeholders involved. The limitations of this study include the need for further research on the perception of the extent to which it contributes to entrepreneurial outcomes, emphasizing caution in interpreting the research model, and the necessity for expanding the survey population and improving survey items in future research.