산학연협력사업의 성과와 만족도에 관한 연구:

Abstract

The acceleration of paradigm shifts like the Fourth Industrial Revolution highlights the importance of industry-academia-research institute collaboration as an alternative solution to address challenges stemming from declining potential growth rates, decreasing employment rates, and to drive innovation-led growth. Universities are increasingly recognized for their possession of exceptional human resources and technological expertise, thereby emphasizing the necessity for universities to serve as pivotal platforms for fostering industry-academia collaboration. As the number of idle sites within universities increases due to a decrease in the school-age population, the need for efficient use of space and spatial connectivity has come the forefront. Accordingly, the initiative to attract promising enterprises to universities and reconfigure university spaces into innovation hubs based on university infrastructure, forming collaborative industry-academia-research cooperation complexes within the university, is being pursued as a policy initiative. The purpose of this study is to evaluate the satisfaction of businesses situated within university campuses and investigate correlations between their satisfaction levels and growth rates of these enterprises, focusing on the case of Pukyong National University. This study utilized data from a satisfaction survey conducted among resident companies. The collected data were subjected to frequency analysis, correlation analysis, and IPA analysis. Analysis of satisfaction levels over four years revealed an increasing trend in both satisfaction and revenue, attributed to customized support and infrastructure development. This study may present somewhat biased results due to its focus on fragmented individual cases. If this project were expanded to universities nationwide, acquiring continuous data, it could lead to more generalized results. Furthermore, it appears that advancing in a more sophisticated direction could be achieved by establishing diverse variables to analyze their respective influences and trends.