Ecosystem approach to strategic management on the example of agriculture
Abstract
This paper considers the transformation of methods and models of strategic management based on the ecosystem approach within the framework of the formation of a unified digital platform for management. The ecosystem approach to the socio-economic development of society is gaining popularity as a result of global social requirements for environmental protection and a careful attitude to use of limited natural resources. Environmental problems in the Russian agricultural sector are increasing, in particular due to the process of formation of agro-industrial associations, mainly in the form of agricultural holdings. In this case, there is a problem of a systematic approach to using of technologies for the integration of all types of resources involved in production, taking into account the growing number and importance of environmental factors. Mathematical modeling is proposed as the main method of strategic management research. Unlike most of the existing models, which are often iconographic, the model proposed allows us to consider a larger number of factors. This makes it possible to assess various options of the modeling objects development using a simulation approach. As a result of the research, a mathematical model of strategic management of agroholdings for sustainable development was developed. It is shown that the development strategy should be implemented considering an appropriate automated management information system. This will lead to a radical change in the whole system of management and production. It will allow the enterprise to apply strategic goal-setting, focusing first of all on quality, controllability and other components of competitiveness. The mathematical model proposed provides justification of unified methods of long-term digitalization applicable for large agricultural associations, as well as for small and medium-sized farms, which will be able to cooperate with agricultural holdings relying on the principles of outsourcing.
Downloads
References
Budzko V.I., Medennikov V.I. (2023) Systems analysis of educational digital ecosystems in the agro-industrial complex. High availability systems, no. 1(19), pp. 46–58 (in Russian).
Medennikov V., Flerov Y. (2022) System analysis of digital ecosystem of Russian agriculture. IEEE Xplore Digital Library. 15 International Conference Management of Large-Scale System Development (MLSD), Moscow, Russia.
Ramenskaya L.A. (2020) Application of the concept of ecosystems in economic and managerial research. Manager, no. 4(11), pp. 16–28 (in Russian).
Tansley A. (1935) The use and abuse of vegetational concepts and terms. Vegetational Concepts and Terms, pp. 284–307.
Acs Z.J., Audretsch D.B., Lehmann E.E., Licht G. (2016) National systems of entrepreneurship. Small Buzines Econimics, vol. 46, pp. 527–535.
Acs Z.J., Audretsch D.B., Lehmann E.E., Licht G. (2017) National systems of innovation. Journal of Technology Transfer, vol. 42, no. 5, pp. 997–1008.
Budzko V.I., Medennikov V.I. (2022) Mathematical model for optimizing crop rotation structure based on a unified digital platform for agricultural production management. High availability systems, no. 4(18), pp. 5–13 (in Russian).
Moore J. (1996) The Death of Competition: Leadership and Strategy in the Age of Business Ecosystems. Harper Business.
Taylor F.W. (1991) Principles of scientific management. Moscow: Controlling (in Russian).
Fayol A. (1992) General and industrial management. Moscow: Controlling (in Russian).
Thompson A., Strickland A. (1998) Strategic Management: The Art of Developing and Implementing Strategy. Moscow: Banks and Exchanges (in Russian).
Vikhansky O.S. (1998) Strategic Management: Textbook. 2nd ed., revised and enlarged. Moscow: Gardarika (in Russian).
Shekhovtseva L.S. (2006) Strategic Management. Kaliningrad: Publishing House of the I. Kant Russian State University (in Russian).
Terekhova-Pushnaya D.V. (2019) Models of strategic management and planning. Moscow Economic Journal, no. 9, pp. 488–497 (in Russian).
Alekseeva N.A., Osipov A.K., Medennikov V.I., et al. (2022) Economic and managerial problems of land management and land use in the region. Izhevsk: Shelest (in Russian).
Medennikov V.I. (2019) Mathematical model of the formation of digital platforms for managing the country’s economy. Digital Economy, no. 1(5), pp. 25–35 (in Russian).
Glushkov V.M. (1975) Macroeconomic models and principles of OGAS construction. Moscow: Statistics (in Russian).
Benjamin P. (2016) How not to network a nation: The uneasy history of the Soviet Internet. The MIT Press.
J’son & Partners Consulting (2018) Analysis of the market of cloud IoT platforms and applications for digital agriculture in the world and prospects in Russia. Available at: https://json.tv/analytic/analiz-rynka-oblachnyh-iot-platform-i-prilojeniy-dlya-tsifrovogo-selskogo-hozyaystva-v-mire-i-perspektiv-v-rossii-20180925034341/ (accessed 18 June 2025).
Kulba V., Medennikov V. (2022) Product traceability digital tool powered by mathematical model for logistics digital platform. IEEE Xplore Digital Library. 15 International Conference Management of Large-Scale System Development (MLSD). Moscow, Russia (in Russian).
Budzko V., Medennikov V., Keyer P. (2023) The logistics component of the geographic reference of the formed promising crop rotations. BIO Web of Conferences, vol. 66, article 03002.
Medennikov V.I. (2024) Evolutionary stages of the ecosystem approach to economic management in the digital era. Management Accounting, no. 7, pp. 310–318 (in Russian).
Pospelov G.S., Irikov V.A. (1976) Program-targeted planning and management. Moscow: Soviet radio (in Russian).
Evtefeev Yu.V., Kazantsev G.M. (2013) Fundamentals of agronomy: A textbook. Moscow: FORUM (in Russian).
Kulba V.V., Medennikov V.I. (2021) Taking into account regional features of strategic management of agro-industrial integrated formations in a single space of digital interaction. Proceedings of the Fourteenth International Conference Management of the development of large-scale systems (MLSD’2021), Moscow, September 27–29, 2021. Moscow: V.A. Trapeznikov Institute of Control Sciences, pp. 70–82 (in Russian).