APPROACHES TO IMPROVING KNOWLEDGE EXCHANGE PROCESSES IN INDUSTRIAL CLUSTERS

Authors

  • Mamadaliyev Anazxon Ziyodillayevich

DOI:

https://doi.org/10.5281/zenodo.21288185

Abstract

The study analyzed the theoretical foundations for improving knowledge exchange processes within industrial
clusters. The cluster was interpreted as a system that facilitated knowledge flows among diverse participants and supported
innovation activities. The relationship between knowledge flow, absorptive capacity, and network structure was examined, and the
main factors strengthening knowledge exchange were systematically identified. Particular attention was given to organizational
diversity, innovation networks, digital platforms, and trust-based cooperation mechanisms. The findings demonstrated that
the effectiveness of knowledge exchange depended not on isolated tools but on their coordinated and integrated application.
The study showed that strengthening human capital, enhancing collaborative relationships, and gradually introducing digital
channels contributed to more effective knowledge sharing and innovation performance. Practical directions for developing
knowledge exchange systems in emerging economies were also established.

Keywords

industrial cluster, knowledge exchange, knowledge flow, absorptive capacity, innovation network, digital platform, cluster policy, regional development.

Author Biography

Mamadaliyev Anazxon Ziyodillayevich

Lecturer, Namangan State Technical University

References

1. Franco M., Esteves L., Rodrigues M. Clusters as a Mechanism of Sharing Knowledge and Innovation: Case

2. Study from a Network Approach // Global Business Review. 2024. Vol. 25, No. 2. P. 377-400. URL: https://doi.

3. org/10.1177/0972150920957270

4. Xu Y., Li X., Tao C., Zhou X. Connected knowledge spillovers, technological cluster innovation and efficient industrial

5. structure // Journal of Innovation & Knowledge. 2022. Vol. 7, No. 3. Art. 100195. URL: https://doi.org/10.1016/j.

6. jik.2022.100195

7. Kim H., Hwang S.-J., Yoon W. Industry cluster, organizational diversity, and innovation // International Journal of

8. Innovation Studies. 2023. Vol. 7, No. 3. P. 187-195. URL: https://doi.org/10.1016/j.ijis.2023.04.002

9. Arsanti T. A., Rupidara N. S., Bondarouk T. Managing knowledge flows within open innovation: knowledge sharing

10. and absorption mechanisms in collaborative innovation // Cogent Business & Management. 2024. Vol. 11, No. 1. Art.

11. URL: https://doi.org/10.1080/23311975.2024.2351832

12. He Z., Wang H., Hu Y., Ma X., Zhao H. Dynamic analysis and optimal control of knowledge diffusion model in regional

13. innovation ecosystem under digitalization // Scientific Reports. 2024. Vol. 14. URL: https://doi.org/10.1038/s41598-024-

14. -3

15. Nguyen H.-O. T., Nguyen K.-D. Moderator effect of industrial park on knowledge spillover from sectoral innovation to

16. firm performance in Vietnam // Cogent Economics & Finance. 2024. Vol. 12, No. 1. Art. 2403708. URL: https://doi.org/

17. 1080/23322039.2024.2403708

18. Li C., Cao X., Chi M., Jiang L.-L. Research on an evolutionary game model and simulation of a cluster innovation

19. network based on fairness preference // PLOS ONE. 2020. Vol. 15, No. 1. Art. e0226777. URL: https://doi.org/10.1371/

20. journal.pone.0226777

21. Zhang L., Xiong K., Gao X., Yang Y. Factors influencing innovation performance of China’s high-end manufacturing

22. clusters: Dual-perspective from the digital economy and the innovation networks // Frontiers in Psychology. 2022. Vol.

23. Art. 1012228. URL: https://doi.org/10.3389/fpsyg.2022.1012228

24. Faeroevik K. H., Maehle N. Cross-industry innovation for sustainable repositioning through cluster collaboration //

25. Economics of Innovation and New Technology. 2024. Vol. 33, No. 8. P. 1185-1202. URL: https://doi.org/10.1080/10438

26. 2024.2427837

27. Li H., Yang Z., Jin C., Wang J. How an industrial internet platform empowers the digital transformation of SMEs:

28. theoretical mechanism and business model // Journal of Knowledge Management. 2023. Vol. 27, No. 1. P. 105-120.

29. URL: https://doi.org/10.1108/JKM-09-2022-0757

30. Liu Q., Zhang Y., Sun X. Digital innovation ecosystems and regional green technological innovation: Evidence from

31. China’s panel-QCA analysis // Journal of Innovation & Knowledge. 2025. Vol. 10, No. 5. Art. 100789. URL: https://doi.

32. org/10.1016/j.jik.2025.100789

33. Parrilli M. D. Cluster policy: the challenging and complex horizon in the 2020s // European Planning Studies. 2024. Vol.

34. , No. 9. P. 1868-1884. URL: https://doi.org/10.1080/09654313.2023.2239281

35. Remotti L. A. IoT innovation clusters in Europe and the case for public policy // Data & Policy. 2021. Vol. 3. Art. e25.

36. URL: https://doi.org/10.1017/dap.2021.16

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Published

2026-07-01

How to Cite

Mamadaliyev , A. (2026). APPROACHES TO IMPROVING KNOWLEDGE EXCHANGE PROCESSES IN INDUSTRIAL CLUSTERS. Innovation Science and Technology, 2(7), 16–20. https://doi.org/10.5281/zenodo.21288185
Vol. 2 No. 7 (2026): Innovation Science and Technology