Skip to main navigation menu Skip to main content Skip to site footer

ANALYSIS OF RELATIONSHIPS BETWEEN MARKETING ECOSYSTEM PARTICIPANTS IN INDUSTRY CLUSTER

Affiliation
Tashkent State University of Economics, Department of "Marketing", Ph.D., Associate Professor E:mail

Abstract

This study analyzes the interrelations among participants in the marketing ecosystem within industrial clusters. It was found that intra -cluster interactions have a network -based structure, and synergistic efficiency is achieved through cooperation and kno wledge exchange. Social Network Analysis was used to assess participantsʼ centrality, while stakeholder analysis helped determine their roles and influence levels. A positive relationship between knowledge diffusion, innovation development, and cluster per formance was substantiated. Based on the findings, practical recommendations were developed for cluster management bodies and enterprises.

Keywords

industrial cluster, marketing ecosystem, social network analysis, stakeholders, knowledge exchange, synergy, innovation 592


References

  1. Porter, M.E. (1998). Clusters and the New Economics of Competition. Harvard Business Review, 76(6), 77 -90. https://www.hbs.edu/faculty/Pages/item.aspx?num=46852
  2. Day, G.S. (2011). Closing the Marketing Capabilities Gap. Journal of Marketing, 75(4), 183 -195. https://journals.sagepub.com/doi/10.1509/jmkg.75.4.183
  3. Day, G.S., & Moorman, C. (2010). Strategy from the Outside In: Profiting from Customer Value. McGraw -Hill. https://pmc.ncbi.nlm.nih.gov/articles/PMC7190507/
  4. European Observatory for Clusters and Industrial Change. (2020). Cluster Management Excellence in Europe. European Commission. https://ec.europa.eu/growth/smes/cluster/observatory
  5. Marshall, A. (1890). Principles of Economics. Macmillan and Co. https://www.econlib.org/library/Marshall/marP.html
  6. Saxenian, A. (1994). Regional Advantage: Culture and Competition in Silicon Valley and Route 128. Harvard University Press. https://www.hup.harvard.edu/catalog.php?isbn=9780674753402
  7. Sheresheva, M., Baggio, R., & Valitova, L. (2022). Application of Social Network Analysis to Visualization and Description of Industrial Clusters. Journal of Risk and Financial Management, 15(3), 129. https://www.mdpi.com/1911 - 8074/15/3/129
  8. Moore, J.F. (1993). Predators and Prey: A New Ecology of Competition. Harvard Business Review, 71(3), 75 -86. https://hbr.org/1993/05/predators -and-prey-a- new-ecology -of-competition
  9. Hewett, K., Rand, W., Rust, R.T., & van Heerde, H.J. (2022). Cross -border Marketing Ecosystem Orchestration. Journal of International Marketing, 30(1), 1 -15. https://www.sciencedirect.com/science/article/abs/pii/S0167811621000690
  10. Freeman, R.E. (1984). Strategic Management: A Stakeholder Approach. Pitman Publishing. https://www.cambridge.org/core/books/strategic - management/E3CC2E2CE01254684A4B7E1D3C2F4AC4
  11. Hult, G.T.M., Mena, J.A., Ferrell, O.C., & Ferrell, L. (2011). Stakeholder Marketing: A Definition and Conceptual Framework. AMS Review, 1(1), 44 -65. https://link.springer.com/article/10.1007/s11747 -015-0424 -y
  12. Vargo, S.L., & Lusch, R.F. (2004). Evolving to a New Dominant Logic for Marketing. Journal of Marketing, 68(1), 1 -17. https://journals.sagepub.com/doi/10.1509/jmkg.68.1.1.24036
  13. Pera, R., Occhiocupo, N., & Clarke, J. (2016). Motives and Resources for Value Co -creation in a Multi -stakeholder Ecosystem. Journal of Business Research, 69(10), 4033 -4041. https://www.sciencedirect.com/science/article/abs/pii/S0148296316300686
  14. Audretsch, D.B., & Feldman, M.P. (1996). R&D Spillovers and the Geography of Innovation and Production. American Economic Review, 86(3), 630 -
  15. https://www.jstor.org/stable/2118216
  16. Jaffe, A.B., Trajtenberg, M., & Henderson, R. (1993). Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations. Quarterly Journal of Economics, 108(3), 577 -598. https://academic.oup.com/qje/article/108/3/577/1881903
  17. Boschma, R. (2005). Proximity and Innovation: A Critical Assessment. Regional Studies, 39(1), 61 -74. https://www.tandfonline.com/doi/abs/10.1080/0034340052000320887
  18. Freeman, L.C. (1985). The Development of Social Network Analysis. Empirical Press. https://en.wikipedia.org/wiki/Social_network_analysis
  19. Mitchell, R.K., Agle, B.R., & Wood, D.J. (1997). Toward a Theory of Stakeholder Identification and Salience. Academy of Management Review, 22(4), 853 -
  20. https://journals.aom.org/doi/10.5465/amr.1997.9711022105
  21. Zhang, Z., Liu, J., & Gu, X. (2020). Stakeholder Analysis and Social Network Analysis in Industrial Land Redevelopment. International Journal of Environmental Research and Public Health, 17(24), 9206. https://www.mdpi.com/1660 - 4601/17/24/9206
  22. Richter, N.F., & Hauff, S. (2024). Necessary Engagement in Stakeholder Relationships for Successful Membership in Industrial Clusters. Journal of Business Research, 176, 114558. https://www.sciencedirect.com/science/article/abs/pii/S001985012400021X
  23. Komorowski, M. (2019). First Outline of an Innovation Ecosystem Index. European Commission, Joint Research Centre. https://ec.europa.eu/futurium/en/system/files/ged/final_study_on_innovation_ecosyst ems_in_europe_imec_smit_komorowski.pdf
  24. European Commission. (2024). European Innovation Scoreboard 2024. Publications Office of the European Union. https://research -and- innovation.ec.europa.eu/statistics/performance -indicators/european -innovation - scoreboard_en
  25. Cohen, W.M., & Levinthal, D.A. (1990). Absorptive Capacity: A New Perspective on Learning and Innovation. Administrative Science Quarterly, 35(1), 128 -
  26. https://www.jstor.org/stable/2393553

Downloads

Download data is not yet available.