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Analysis of Success Factors for Technology Commercialization using Meta-Analytic Structural Equation Modeling

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초록

The purpose of this study is to identify core influencing factors of technology commercialization at a firm level in Korea and to propose a comprehensive model of a successful technology commercialization process. The data was collected from 70 studies selected through a systematic literature review, and two meta-analytic methods were applied to analyze these data. First, we analyzed the data by a meta-analysis(MA) method and identified six key factors influencing the success of the technology commercialization. The results of meta-analysis showed 0.3672 of correlation coefficient as overall average effects size which corresponded to a high side of medium effect. Next, we conducted a meta-analytic structural equation modeling(MASEM) to test relationships among these variables and to present a conceptual model of technology commercialization. The adjusted model showed a better fit to the data and significant path coefficients, and thus was adopted as the final research model of technology commercialization of the present study.

Abstract

The purpose of this study is to identify core influencing factors of technology commercialization at a firm level in Korea and to propose a comprehensive model of a successful technology commercialization process. The data was collected from 70 studies selected through a systematic literature review, and two meta-analytic methods were applied to analyze these data. First, we analyzed the data by a meta-analysis(MA) method and identified six key factors influencing the success of the technology commercialization. The results of meta-analysis showed 0.3672 of correlation coefficient as overall average effects size which corresponded to a high side of medium effect. Next, we conducted a meta-analytic structural equation modeling(MASEM) to test relationships among these variables and to present a conceptual model of technology commercialization. The adjusted model showed a better fit to the data and significant path coefficients, and thus was adopted as the final research model of technology commercialization of the present study.

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