Research on the Influence Mechanism of Knowledge Sharing on the Innovation Ability of High-tech Enterprises
Year: 2025
Type: article
Abstract: Background and Aim: In the context of the knowledge-driven economy, enhancing innovation capability has become crucial for high-tech enterprises. Although knowledge sharing is widely acknowledged as a driver of innovation, the mechanisms through which explicit and tacit knowledge contribute to different dimensions of innovation remain underexplored. This study aims to clarify how knowledge sharing influences innovation capability by introducing knowledge integration and absorptive capacity as key mediating and moderating variables. Materials and Methods: Based on a comprehensive literature review, a conceptual model was developed. Quantitative empirical methods were employed using a structured questionnaire targeting high-tech firms in China. Data were analyzed through regression models to test the proposed hypotheses regarding the mediating effect of knowledge integration and the moderating effect of absorptive capacity. Results: The findings reveal that both explicit and tacit knowledge sharing positively affect innovation capabilities, including organizational, production, and marketing innovation. Knowledge integration significantly mediates this relationship, while absorptive capacity strengthens the effect of knowledge sharing on knowledge integration. Conclusion: This study contributes to the literature by constructing a mechanism model linking knowledge sharing and innovation capability in high-tech enterprises. It provides theoretical insights for knowledge management research and practical guidance for improving innovation performance through targeted knowledge sharing strategies.
Authors: Kaizheng Luo, Xueyan Dong
Institution: Dhurakij Pundit University
Language: English
Subfield: Strategy and Management
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4414466945
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