Research on the Impact Mechanism of Knowledge Spillover on the Growth of Small and Medium-sized Sports Enterprises

Wenyan Zhu
Thailand
https://orcid.org/0000-0003-3375-5402
Luo Suo
Thailand
https://orcid.org/0009-0001-8289-0830
Keywords: Small and Medium-sized Sports Enterprises (SMEs); , Knowledge Spillover; , Learning Organization; , Product Innovation; , Model Innovation
Published: Nov 11, 2024

Abstract

Background and Aim: In recent years, knowledge spillovers and enterprise innovation have become key drivers of the rapid development of small and medium-sized sports enterprises (SMEs) in China. This study conducted a questionnaire survey of 405 employees from SMEs using the snowball sampling method. The study focuses on how knowledge spillovers affect the development of SMEs in the sports industry and verifies the intrinsic links between knowledge spillovers, product innovation, model innovation, learning organizations, and firm growth variables.


Materials and Methods: The study utilized SPSS 26.0 and AMOS 26.0 software for EFA and CFA. Additionally, the research hypotheses were tested using structural equation modeling with AMOS 26.0 software.


Results: 1) Knowledge spillover, product innovation, model innovation, and learning organization all significantly enhance firm growth. 2)Learning organization, product innovation, and model innovation in SME sports enterprises mediate the effect of knowledge spillover on firm growth. 3)Learning organizations and product innovation, learning organizations, and model innovation in SMEs' sports enterprises jointly mediate the impact of knowledge spillovers on firm growth. 4)The study's results provide an in-depth analysis of how knowledge spillovers affect the development of SMEs through direct and indirect paths. This enriches the theory of sports enterprise development and helps promote enterprise growth.


Conclusion: 1) Knowledge spillovers from SMEs directly boost enterprise growth. 2)Knowledge spillovers from SMEs can also indirectly enhance enterprise growth through factors like product innovation, model innovation, and learning organization. 3)Knowledge spillovers can further indirectly facilitate enterprise growth by influencing factors like enterprise learning organization, product innovation, and model innovation.

Article Details

How to Cite

Zhu, W., & Suo, L. (2024). Research on the Impact Mechanism of Knowledge Spillover on the Growth of Small and Medium-sized Sports Enterprises. International Journal of Sociologies and Anthropologies Science Reviews, 4(6), 589–604. https://doi.org/10.60027/ijsasr.2024.5056

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Articles

References

Akcigit, U., Hanley, D., & Serrano-Velarde, N. (2021). Back to basics: Basic research spillovers, innovation policy, and growth. Review of Economic Studies. 88(1), 1-43.

Almeida, P., & Kogut, B. (1999). Localization of knowledge and the mobility of engineers in regional networks. Management Science. 45(7), 905-917.

Balkin, D.B., Gideon, D.M., & Gomez-Mejia, L.R. (2000). Is CEO pay in high-technology firms related to innovation? Academy of Management Journal. 43(6), 1118-1129.

Baumol, W. (1990). Entrepreneurship: Productive, unproductive, and destructive. Journal of Political Economy. 98(5), 893-921.

Brandt, N. (2006). Mark-ups, economies of scale and the role of knowledge spillovers in OECD industries. European Economic Review. 51(7), 1708-1732.

Chao, Kun-Mao & Hsu, Tsan-sheng & Lee, D. (2014). Algorithms and Computation (ISAAC 2012) Preface. Theoretical Computer Science. 544. 1–2. 10.1016/j.tcs.2014.06.034.

Chen, J.H. (2016). A study on the internal game behavior of state-owned enterprises constructing learning organizations. Journal of Beijing Technology and Business University (Social Science). 31(2), 110-126.

Collins, C. J., & Clark, K. D. (2003). Strategic human resource practices, top management team social networks, and firm performance: The role of human resource practices in creating organizational competitive advantage. Academy of Management Journal. 46(6), 740-751.

Edmondson, A. C. (2002). The local and variegated nature of learning in organizations: A group-level perspective. Organization Science. 13(2), 128-146.

Gulati, R., Lavie, D., & Singh, H. (2009). The nature of partnering experience and the gains from alliances. Strategic Management Journal. 30(11), 1213-1233.

Gulati, R., Zaheer, A., & Nohria, N. (2000). Strategic networks. Strategic Management Journal. 21(3), 203-215.

Harabi, N. (1997). Channels of R&D spillovers: An empirical investigation of Swiss firms. Research Policy. 17(11-12), 725.

Harman, H. H. (1976). Modern factor analysis. University of Chicago Press.

Hayes, A.F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs. 76(4), 408-420.

Hong, Y.X. (2013). Several important concepts about innovation-driven and collaborative innovation. Economic Theory and Economic Management. 5, 5-12.

Iacobucci, D. (2010). Structural equations modeling: Fit indices, sample size, and advanced topics. Journal of Consumer Psychology. 20(1), 90-98.

Jiang, Z.J., & Wu, Z.B. (2020). The impact of knowledge spillover in cultural industry clusters on enterprise innovation capability: Taking the national advertising industry park as an example. Jianghuai Forum. 6, 66-72.

Keller, W., & Yeaple, S.R. (2009). Multinational enterprises, international trade, and productivity growth: Firm-level evidence from the United States. Review of Economics and Statistics. 91(4), 821-831.

Li, G.J., & Zhu, X.X. (2021). On the strategic transformation of enterprise technology R&D and product innovation. Journal of Sichuan University. 2, 181-192.

Liu, X.Y., & Wang, Q. (2023). Spatial development patterns, knowledge spillovers, and urban innovation performance. Finance and Trade Economics. 44(8), 142-158.

Ma, X.D. (2013). Network externality, technology spillover, and digital product innovation protection. Soft Science. 27(9), 73-78.

McCann, P., & Simonen, J. (2005). Innovation, knowledge spillovers, and local labor markets. Regional Studies. 84(3), 465-485.

Meng, Q.S., Li, L.Y., & Wang, Y.M. (2023). The knowledge spillover effects of enterprise basic research. Studies in Science of Science. 1-18.

Najib, H. (1997). Channels of R&D spillovers: An empirical investigation of Swiss firms. Research Policy. 17(12), 0-725.

Podsakoff, M.P., & MacKenzie, S.B. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology. 88(5), 879-903.

Soriano, D.R., & Montoro‐Sanchez, M.A. (2011). Introduction: The challenges of defining and studying contemporary entrepreneurship. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration. 28(3), 297-301.

Sun, Y. B., & Ding, Y. X. (2018). Research on the relationship between knowledge spillover, innovation capability, and innovation performance under cluster effect. Journal of Beijing Administrative College. 1, 88-96.

Tong, P., Xie, R., & Li, X. (2019). Research on knowledge spillover and innovation performance of robot enterprise clusters from a homogeneity perspective. Journal of the Anhui University of Technology. 34(02), 68-76.

Wang, B., Wang, X., & Zhang, S. (2021). Knowledge spillover, enterprise innovation, and collaborative R&D behavior. Enterprise Economy. 40(4), 153-160.

Wang, Z. H., & Zhou, J. B. (2022). The impact of digital technology affordance on enterprise business model innovation. The Chinese Journal of Management. 19(11), 1666-1674.

Watkins, K. E., & Marsick, V. J. (2023). Rethinking workplace learning and development catalyzed by complexity. Human Resource Development Review. 22(3), 333-344.

Wei, S.H., Gu, J. J., & Jiang, Y. (2019). Research review on the mechanism and measurement of knowledge spillover from a multi-dimensional perspective. Research and Development Management. 3, 121-133.

Wu, S., Huang, P., Cai, W., et al. (2022). Knowledge spillover and the growth of advanced manufacturing clusters: A study on the mediating effect of enterprise innovation correlation. Science Research Management. 40(3), 516-524.

Xie, X.Y., & Jiang, C.F. (2022). A review of the relationship between open innovation and firm performance. The Economist. 1, 69-116.