The Exploring Impact Mechanisms of Network Embedding on Innovation Performance in Chinese International Freight Forwarding Enterprises
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This study aims to explore the influence mechanism of network embeddedness on business model innovation and enterprise innovation performance in Chinese international freight forwarding enterprises. The research is based on network embeddedness theory and supported by dynamic capability theory. The study population consists of Chinese international freight forwarding companies, with a sample of 10 companies selected from the "Top 100 National Freight Forwarders in China's International Freight Forwarding Ranking 2022" published by "Trade and Economic Network". Data was collected through questionnaire surveys and analyzed using empirical methods.
The research findings indicate that: 1) Network embeddedness has a significant positive impact on both business model innovation and enterprise innovation performance; 2) Business model innovation partially mediates the relationship between network embeddedness and enterprise innovation performance; 3) Dynamic capabilities significantly moderate the relationship between network embeddedness and business model innovation. Based on these results, it is suggested that Chinese international freight forwarding enterprises should focus on strengthening their network relationships and improving their dynamic capabilities to enhance their innovation performance. This research contributes to broadening the perspective on the relationship between network embeddedness and innovation performance, while providing strategic guidance for Chinese international freight forwarding enterprises to enhance their innovation capabilities in an increasingly globalized business environment.
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