The purpose of this study was to analyze the mediating and combined effects of trust and satisfaction in a collaborative activity, while considering the effects of the performance of innovation in an Industry–Public Research Institute (I–PRI) collaboration. Data used in this study was collected through a survey targeting Small and Medium-Sized Enterprises (SMEs) in the INNOPOLIS Daedeok innovation cluster in Korea. PLS-SEM and fsQCA were used for the analysis of data collected. The results of this study show that trust mediates the relationship between collaboration and satisfaction, while satisfaction mediates the relationship between collaboration, and the performance of innovation, as well as the relationship between trust and the performance of innovation. In addition, it was confirmed that collaboration, trust, and satisfaction jointly affect the performance of innovation in I–PRI collaborations. Additionally, it was discovered that in-order to increase the performance of innovation - required to secure and maintain a competitive advantage; through I–PRI collaborations—SMEs need active collaboration with PRIs, and advanced management skills; to build mutual trust, and improve satisfaction. Finally, the theoretical implications of the factors that affect the performance of innovation in I–PRI collaborations were presented.

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Universities are introducing and utilizing several systems to respond to an environment in which the importance of industry-university cooperation is increasing. The purpose of this study is to analyze the combined effect of institutional factors on industry-university collaborative research. Through a review of the existing literature, we presented a conceptual model in which university institutional factors combinatorially affect industry-university collaborative research. Major institutional factors of universities to promote industry-university cooperation include new professors with industry experience, industry-university cooperation concentration professors, and human resources for industryuniversity linkages. Six-year data from 2016 to 2021 on institutional factors and industry-university collaborative research were obtained through Higher Education in Korea. Fuzzy set qualitative comparative analysis (fsQCA) was used for data analysis. Seven solutions describing industryuniversity collaborative research were derived through fsQCA. In the seven solutions, the number of new professors with industry experience, number of non-tenure industry-university cooperation concentration professors, and number of personnel in charge of technology transfer and commercialization served as key conditions. As a result, it is evaluated that the key factors influencing industry-university collaborative research are the number of new professors with industry experience, the number of non-tenure industry-university cooperation concentration professors, and the number of personnel in charge of technology transfer and commercialization.

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