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Empirical analysis of the influencing factors of knowledge sharing in industrial technology innovation strategic alliances

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  • Wang, Meixia
  • Wang, Yunxia
  • Mardani, Abbas

Abstract

Knowledge sharing effectively promotes upgrading the industrial chain towards high-end levels through industrial technology innovation strategic alliances (ITISAs). Based on the characteristics of ITISAs, this paper applies structural equation modeling (SEM) to data obtained from a questionnaire to analyze the influencing factors of knowledge sharing in ITISAs. The results show that: The willingness to share knowledge and tacit knowledge characteristics significantly positively and negatively impact the knowledge-sharing recognition stage, respectively. Second, the subject heterogeneity has a significant negative impact, and the knowledge-sharing environment and information technology significantly positively impact the knowledge-sharing implementation stage. Third, the knowledge absorptive capacity has a significant positive impact on the knowledge-sharing integration stage, and the knowledge-sharing process has a significant positive effect on the knowledge-sharing effect. This study contributes information that may guide ITISAs to improve their technological innovation capability by considering the factors that influence each of the three stages of knowledge sharing.

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  • Wang, Meixia & Wang, Yunxia & Mardani, Abbas, 2023. "Empirical analysis of the influencing factors of knowledge sharing in industrial technology innovation strategic alliances," Journal of Business Research, Elsevier, vol. 157(C).
    • Handle: RePEc:eee:jbrese:v:157:y:2023:i:c:s0148296322011006
    DOI: 10.1016/j.jbusres.2022.113635
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