Global corporate networks in the global transformation concerning the international production networks’ formation


In this paper we provide an overview of models the impact of GCNs on the restructuring of the modern geo-economic and geopolitic space leading to the formation of possible new centers (including of new centers in the shape of global cities). Determine the system of influence of inter- organizational and inter-fragment external and internal relations in the network economic systems in the form of GCNs in the context of the formation of the Economy 4.0.

Theoretically, the digital economy (DE) is the core of the modern networked economic system, and in practice – a growing sector of national and world economies. The essential features of IT as a new phenomenon in the socio-economic system are complemented on an interdisciplinary basis by the epistemology of information and computer sciences, electronic technologies and platforms. This refers to the widespread use of margins (marginal costs, marginal capital, marginal labour, etc.) and concepts such as institutions, trust, risk, security, etc. The purpose of the study is to investigate the trends of economic digitalisation, theoretical and methodological changes and applied vision of economic processes. Analysis, comparison, and generalisation were used in the study. The study considers the current trends of digitalisation of the economy, which cause significant theoretical and methodological changes and a new applied vision of economic processes. In the current conditions, the actual economic laws of IT are determined by the prevailing concepts and doctrines – neoclassical and neo-institutional. It was concluded that the synergistic synthesis of the categorical framework of the economic mainstream and computer sciences allows for the development of complexity economics, which is characterised by fundamentally new dimensions and parameters.


  1. Guangli, Z., Gang, Z., Ming, L., Shuqin, Y., Yali, L., Xiongfei, Y. 2018. Prediction of the fourth industrial revolution based on time series. International Conference on Intelligent Information Technology (pp. 65-69). Hanoi: Association for Computing Machinery.
  2. Kovacs, O. 2019. Grounding complexity economics in framing modern governance. Acta Oeconomica, 69(4), 571-594.
  3. Fiori, S. 2009. Hayek’s theory on complexity and knowledge: dichotomies, levels of analysis, and bounded rationality. Journal of Economic Methodology, 16(3), 265-285.
  4. Roncaglia, A. 2019. The age of fragmentation: A history of contemporary economic thought. In: The Age of Fragmentation: A History of Contemporary Economic Thought (pp. 1-442). Rome: Sapienza University of Rome.
  5. Zamir, E. 2020. Refounding law and economics: Behavioral support for the predictions of standard economic analysis. Review of Law and Economics, 16(2), 267-299.
  6. Wade, M.R., Shan J. 2018. The digital giants in 2018.
  7. Awass, O. 2019. Contending with capitalism: Fatwas and neoliberal ideology. Journal of World-Systems Research, 25(1), 145-168.
  8. Schwab, K. 2016. The fourth industrial revolution. Quality Management Journal, 25(2), 108-109.
  9. Ferrer-Comalat, J.C., Corominas-Coll, D., Linares-Mustaros, S. 2020. Fuzzy logic in economic models. Journal of Intelligent and Fuzzy Systems, 38(5), 5333-5342.
  10. Castells, M. 2000. Information age. Economy, society and culture. Moscow: National Research University “Higher School of Economics”.
  11. Stafford, C. 2019. Economic life in the real world: Logic, emotion and ethics. In: Economic Life in the Real World: Logic, Emotion and Ethics (pp. 1-196). London: London School of Economics and Political Science.
  12. Baber, W.W., Ojala, A., Martinez, R. 2019. Effectuation logic in digital business model transformation: Insights from Japanese high-tech innovators. Journal of Small Business and Enterprise Development, 26(6-7), 811-830.
  13. Pidchosa, O. 2020. Network effects in world economy: Blockchain case. In: Internationalization of the World Economy: Current Trends (pp. 315-332). Kastoria: Evkonomia.
  14. Balasescu, A., Seguin, T. 2018. Another economy: towards a cultural dialectics between energy and society. Innovation, 31(3), 251-277.
  15. Katz, M.L., Shapiro, C. 1985. Network externalities, competition, and compatibility. American Economic Review, 75, 424-440.
  16. Barrera, C. 2018. The blockchain effect: Network effects without market power costs.
  17. Mullner, J., Filatotchev, I. 2018. The changing face of international business in the information age. Progress in International Business Research, 13, 91-121.
  18. Zhang, X., Liu, J., Xu, Z. 2015. Tencent and Facebook data validate Metcalfe’s law. Journal of Computer Science and Technology, 30, 246-251.
  19. Chan, J. 2018. Blockchain economics and network effects.
  20. Tkatchuk, R. 2018. How blockchain can supercharge the network effect.
  21. Economides, N., White, L.J. 1994. One-Way Networks, Two-Way. Networks, Compatibility, and Public Policy. In: Opening Networks to Competition (pp. 9-29). Berlin: Springer US.
  22. Pidchosa, O. 2018. The new industrial revolution: Impact on energy sector. Wealth of Nations under the Global Instability. Scientific Proceedings of the 8th International Scientific-Practical Conference ( 15-16). Оdesa: I.I. Mechnikov Odessa National University Publishing Centre.
  23. Rogach, O., Pidchosa, O., Dziuba P. 2020. Geographic information and cyber-physical systems in oil and gas industry: Benefits, problems and integration prospects. 19th International Conference “Geoinformatics: Theoretical and Applied Aspects (pp. 115-119). Оdesa: I.I. Mechnikov Odessa National University Publishing Centre.
  24. Curtis, J. 2019. The future of economic geopolitics: network effects in international trade.
  25. Mahnkopf, B. 2019. The 4th wave of industrial revolution – a promise blind to social consequences, power and ecological impact in the era of “digital capitalism”. Discussion Paper, 1.