Criteria and tools for improving trust relations between dairy cluster stakeholders

The article shows the necessity and timeliness of building trusting relationships between stakeholders in projects to create a dairy cluster - an association of institutionally independent enterprises integrated into an inter-industry complex, in order to obtain a synergetic result from balanced cooperative relations between them. The cluster should take into account the interests of all its participants, so maintaining trust between them is necessary for the formation of the food chain in the dairy business, which in turn serves as a catalyst for the effective development of the dairy industry, increasing the volume of production and quality of dairy products. The aim is to study the influence of factors on the common interest, partnership between stakeholders in the project environment, as well as the development of methodological and practical recommendations for the application of tools of effective interaction between them, which contributes to the success of the project and the achievement of common goals.
Methods - abstract-logical to identify problems and causes, online survey of respondents using Google-form, Cronbach's Alpha modeling methods are used to assess the reliability and internal consistency of questions in the model created in the Smart PLS program when analyzing complex relationships between latent variables (constructs) that cannot be measured directly. In the course of the study 76 respondents from all regions of Kazakhstan, which are potential stakeholders in the activities of the dairy subcomplex, were interviewed.
Results - reliability and validity of the chosen conceptual model were established, the necessity of deepening the hypotheses put forward during the life cycle of the project on the functioning of the dairy cluster was proved.
Conclusions - innovative entrepreneurship cannot be successful without managing the process of forming an atmosphere of trusting relations along the entire chain of the production process - from investors to consumers.

1. Chemodanova, E.V. (2019). Klasternyy podkhod v innovatsionnom razvitii APK regiona [Cluster approach in the innovative development of the region's agro-industrial complex]. Available at: http://science-education.ru/ru/article/view?id=13055 (date of access: 12.03.2023) [in Russian].

2. Shnitko, Y.S., Khomenko, O.I. (2019). Cluster approach to the development of agriculture in Cherkasy region. Available at: https://doi.org/10.32702/2307-2105-2019.12.152 (date of access: 12.03.2024) [in English].

3. Rukovodstvo k SVODU ZNANIY PO UPRAVLENIYU PROYEKTOM [Guide to the Project Management BODY OF KNOWLEDGE]. Project Management Institute, Inc., 2017, 726 [in Russian].

4. Maines da Silva, L., Bitencourt, C.C., Faccin, K., Iakovleva, T. (2019). The Role of Stakeholders in the Context of Responsible Innovation: A Meta-Synthesis. Sustainability, 11, 2-25 [in English].

5. Francisco de Oliveira, G., Rabechini, R. (2019). Stakeholder management influence on trust in a project: A quantitative study. International Journal of Project Management, 37(1), 131–144 [in English].

6. Finogeeva, A.I. (2019). Formirovaniye mekhanizmov upravleniya klyuchevymi steykkholderami korporatsii [Formation of management mechanisms for key stakeholders of the corporation]. Moscow, 208 [in Russian].

7. Uralbaev, N.K. (2020). Metody organizat-sii innovatsionnykh klasterov v Kazakhstane na opyte Rossiyskoy Federatsii [Methods for organizing innovation clusters in Kazakhstan based on the experience of the Russian Federation]. Innovations and investments, 8, 13-16 [in Russian].

8. Taneja, M., Jalodia, N., Byabazaire, J., Davy, A., Olariu, C. (2019). SmartHerd management: A microservices-based fog computing-assisted IoT platform towards data-driven smart dairy farming. Software: Practice and Experience, 49 (7), 1055-1078 [in English].

9. Cockburn, M. (2020). Review: Application and prospective discussion of machine learning for the management of dairy farms. Animals, 10(9), 1690 [in English].

10. Karymsakova, Zh.K. & Kerimova, U.K. & Yosini Deliana (2024). Innovatsionnoye razvitiye APK: problemy i startegiya ikh resheniya [Innovative development of the agro-industrial complex: problems and strategies for solving them]. Problemy agrorynka - Problems of the AgriMarket, 2, 14-24 [in Russian].

11. Shinet, G.G & Berdibekova, G.S. & Kenjebekova, I.P. (2019). Bankovskoye kreditovaniye АРK Kazakhstana [Bank lending to the agro-industrial complex of Kazakhstan]. Problemy agrorynka - Problems of AgriMarket, 1, 98-104 [in Kazakh].

12. Bakirbekova, A.M. & Moldakenova, E.K. & Akimbekova, Ch.U. (2021). Zarubezhnyy opyt innovatsionnogo razvitiya agropromyshlennogo kompleksa [Foreign experience of innovative development of agro-industrial complex]. Problemy agrorynka - Problems of AgriMarket, 3, 31-43 [in Kazakh].

13. Akimbekova, Ch.U. & Baymukhanov, A.B. & Kaskabaev, U.R. (2021). Razmeshcheniye predpriyatiy po pervichnoy pererabotke moloka v Almatinskoy oblasti [Location of enterprises for primary milk processing in Almaty region]. Problemy agrorynka - Problems of AgriMarket, 3, 13-23 [in Russian].

14. Belgibayeva, A.S. & Zhumasheva, S.T. & Tatikova, A.U. (2023). Rynok moloka i produktov yego pererabotki v Akmolinskoy oblasti Respubliki Kazakhstan: tekushchaya situatsiya, resursy [Market of milk and its processed products in the Akmola region of the Republic of Kazakhstan: current situation, resources]. Problemy agrorynka - Problems of AgriMarket, 2, 177-187 [in Russian].

15. Zizka, M. & Rydvalova, P. (2021). Innovation and Performance. Drivers of Business Clusters. Available at: https://www.link.springer.com/book/10.1007/978-3-030-79907-6 (date of access: 20.06.2024) [in English].

16. W., Poczta, J., Średzińska, M., Chenczke (2020). Economic situation of dairy farms in identified clusters of European Union Countries. Agriculture, 10(4), P. 92 [in English].

17. Jayasuriyaa, S., Zhangb, G., Yang, R.J. (2020). Exploring the impact of stakeholder management strategies on managing issues in PPP project. Available at: https://doi.org/10.1080/15623599.2020.1753143 (date of access: 15.11.2023) [in English].

18. Aisautov, D., Akimbekova, G. (2024). Klastery kak instrument povysheniya effektivnosti molochnoy otrasli sel'skogo khozyaystva [Clusters as a tool for improving the efficiency of the dairy industry agriculture]. Available at: http://centmapress.ilb.uni-bonn.de/ojs/index.php/fsd/article/view/K1 (date of access: 14.06.2024) [in English].

19. Variance Inflation Factor (VIF) (2020). Available at: https://corporatefinanceinstitute.com (date of access: 12.05.2024).