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

Meixia Wang, Yunxia Wang and Abbas Mardani

Journal of Business Research, 2023, vol. 157, issue C

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.

Keywords: Industrial technology innovation; Knowledge absorptive capacity; Knowledge sharing; Knowledge tacit; Strategic alliance (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:157:y:2023:i:c:s0148296322011006

DOI: 10.1016/j.jbusres.2022.113635

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