Abstract
The purpose of the article is to develop the institutional model of formation and development of Industry 4.0 in the conditions of knowledge economy’s formation and to determine the relevance of the institutional provision of this process in the modern economic systems. The research is performed within the new institutional economic theory (neo-institutionalism) and is based on the following methods: empirical methods, which are aimed at determining and descripting the institutes that are necessary for successful formation and development of Industry 4.0 in the conditions of knowledge economy’s formation; the method of analytical modeling that is applied for developing the institutional model of formation and development of Industry 4.0 in the conditions of knowledge economy’s formation. The authors also use the method of formalization for graphical interpretation of this model and the method of comparative analysis, which is used by the authors for determining the relevance of institutional provision of the process of formation and development of Industry 4.0 in the conditions of knowledge economy’s formation in modern economic systems through comparing the received model to the institutional practice of developed and developing countries of the world. As a result, the authors develop and present the institutional model of formation and development of Industry 4.0 in the conditions of knowledge economy’s formation, which reflects the need of modern economic systems for the corresponding institutes. The performed comparative analysis showed that institutional provision of the process of formation and development of Industry 4.0 in the conditions of knowledge economy’s formation in modern economic systems is not formed and is peculiar for three main problems: incompletion of the process of formation of necessary institutes, presence of “institutional traps”, and weakness of connections of various institutes.
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Amavilah, V., Asongu, S. A., & Andrés, A. R. (2017). Effects of globalization on peace and stability: Implications for governance and the knowledge economy of African countries. Technological Forecasting and Social Change, 122, 91–103.
Bogoviz, A. V., Ragulina, Y. V., Erusalimsky, V. I., Tyurina, Y. G., & Popova, E. V. (2017). Evaluation of economic effectiveness of the state purchases system: Criteria and priorities. European Research Studies Journal, 20(3), 548–555.
Chen, J.-C., Shyu, J. Z., & Huang, C.-Y. (2017). Configuring the knowledge diffusion policy portfolio of higher education institutes. Eurasia Journal of Mathematics, Science and Technology Education, 13(8), 5685–5734.
Chou, M.-H., & Gornitzka, A. (2014). Building the knowledge economy in Europe: New constellations in European research and higher education governance, Cheltenham (pp. 1–249). Northampton: Edward Elgar.
Hilty, R. M., Krujatz, S., Bajon, B., (…), Geiger, C., & Klass, N. (2009). European commission—Green paper: Copyright in the knowledge economy—Comments by the Max Planck Institute for Intellectual Property, Competition and Tax Law. IIC International Review of Intellectual Property and Competition Law, 40(3), 309–327.
Kadir, B. (2017). Market-oriented R&D commercialization at public universities and government research institutes in Malaysia: Issues and potential research areas. Journal of Engineering and Applied Sciences, 12(6), 1386–1392.
Macias Vazquez, A., & Alonso Gonzalez, P. (2016). Knowledge economy and the commons: A theoretical and political approach to post-neoliberal common governance. Review of Radical Political Economics, 48(1), 140–157.
Mosey, S., Wright, M., & Clarysse, B. (2012). Transforming traditional university structures for the knowledge economy through multidisciplinary institutes. Cambridge Journal of Economics, 36(3), 587–607.
Pfliegl, R., & Keller, H. (2015). Mobility governance—Digitisation of transport in the context of Industry 4.0 and society’s responsibility for sustainable mobility [Mobility Governance – Digitalisierung des Verkehrs im Kontext von Industrie 4.0 und der Verantwortung der Gesellschaft zur Nachhaltigkeit der Mobilität]. Elektrotechnik und Informationstechnik, 132(7), 374–379.
Pokrovskaia, N. N. (2017). Tax, financial and social regulatory mechanisms within the knowledge-driven economy. Blockchain algorithms and fog computing for the efficient regulation. In: Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017, 7970698 (pp. 709–712).
Savtschenko, M., Schulte, F., & Voß, S. (2017). It governance for cyber-physical systems: The case of industry 4.0. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),10288 LNCS (pp. 667–676).
Sukhodolov, A. P., Popkova, E. G., & Kuzlaeva, I. M. (2018). Production and economic relations on the internet: Another level of development of economic science. Studies in Computational Intelligence, 714.
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Galushkin, A.A., Nazarov, A.G., Sabyna, E.N., Skryl, T.V. (2019). The Institutional Model of Formation and Development of Industry 4.0 in the Conditions of Knowledge Economy’s Formation. In: Popkova, E., Ragulina, Y., Bogoviz, A. (eds) Industry 4.0: Industrial Revolution of the 21st Century. Studies in Systems, Decision and Control, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-94310-7_22
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DOI: https://doi.org/10.1007/978-3-319-94310-7_22
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