2026-10-14T19:15:36Z https://www.scidb.cn/oai

10.57760/sciencedb.39702 2026-06-22T09:46:39Z

2026-06-22 A Study on the Relationship between hybrid Entrepreneurship of S&T Personnel and Transformation of S&T Achievements doi:10.57760/sciencedb.39702 en Hybrid entrepreneurship of S&T personnel is an important way to transform scientific and technological achievements, but existing studies still lack an in-depth interpretation of the internal correlation between the two. Based on the theory of "knowledge integration", a conceptual model of the chain relationship among hybrid entrepreneurship of S&T personnel, knowledge integration, and S&T achievement transformation is constructed, environmental uncertainty was used as a moderating variable. Then, an empirical study was conducted using 326 S&T-based hybrid entrepreneurial enterprises in Hubei Province as samples. Research has found that the hybrid entrepreneurship of S&T personnel has a significant positive impact on exploitative transformation of S&T achievements, while the positive impact on exploratory transformation of S&T achievements is not significant; The hybrid entrepreneurship of S&T personnel has a significant positive impact on knowledge integration; Knowledge integration plays a mediating role in the relationship between hybrid entrepreneurship of S&T personnel and exploitative transformation of S&T achievements; Environmental uncertainty plays a positive moderating role in the relationship between hybrid entrepreneurship by S&T personnel and exploitative transformation of S&T achievements.This paper reveals the limitations of hybrid entrepreneurship of S&T personnel in promoting exploratory transformation of S&T achievements.This study provides reference value for governments, research institutes and universities to optimize the policies related to encouraging and supporting S&T personnel's entrepreneurship and transformation of S&T achievements. S&T personnel; Hybrid entrepreneurship; Knowledge integration; Exploitative transformation of S&T achievements; Exploratory transformation of S&T achievements Li Xianjiang Li Yan Zhang Ziyi RESTRICTED dataset Science Data Bank