Territories' predisposition assessment to “smart” companies' location

Автор: Chursin Alexander А., Yudin Aleksandr V., Grosheva Polina Yu., Myslyakova Yulia G., Neklyudova Natalya P.

Журнал: Economic and Social Changes: Facts, Trends, Forecast @volnc-esc-en

Рубрика: Sectoral economic studies

Статья в выпуске: 3 т.14, 2021 года.

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Currently, one of the urgent issues for the Russian economy is to create conditions for the expansion of “smart” companies in the regions on which depend the society transition to a new type of technological structure, innovative development and the country's competitiveness. The hypothesis of the study is that some regions are more predisposed to the appearance of “smart” companies on their territories, while others do not have the appropriate conditions for developing innovative and digital technologies. To prove this hypothesis, the article reveals the concept of a regional 3D model of a “smart” company and offers a methodology for assessing regions' predisposition to the emergence of such organizations. A special feature of the author's methodology is an integrated indicator which is the result of the synthesis of graphical and analytical evaluation methods. The methodology allows identifying territories with favorable conditions for expansion of organizational ambidextrity, innovative development and companies' digitalization. It was tested in Russia's regions in 2010-2017. As a result, the paper has identified the typology of regions according to five criteria reflecting the predisposition to the emergence of “smart” companies, and has built their rating. The approbation of the author's methodological developments allowed establishing that industrially developed regions can be considered digitalization poles. The work shows that the Ural Federal District acts as a stable basis for the emergence and successful functioning of “smart” companies, as all its entities, except the Kurgan Oblast, fall into the top twenty territories favorable for their development. This pattern is not typical for other federal districts. In conclusion, the authors have determined principal development trajectories of the main elements of the 3D model of a “smart” company at the meso-economic research level in the following areas: “smart” personnel, “smart” environment, “smart” innovations and solutions.

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Короткий адрес: https://sciup.org/147235419

IDR: 147235419   |   DOI: 10.15838/esc.2021.3.75.6

Список литературы Territories' predisposition assessment to “smart” companies' location

  • Urena Y.C., Quinones E., Carruyo N. Intellectual capital: Strategic model for quality of service in intelligent organizations. Orbis, 2016, vol. 12 (35), pp. 3–17.
  • Schwaninger M. Governance for intelligent organizations: A cybernetic contribution. Kybernetes, 2019, vol. 48 (1), pp. 35–57. DOI: 10.1108/k-01-2018-0019
  • Gajowiak M. High-Tech SMEs in the Concept of Intelligent Organizations: The Reconstruction of the Approach in the Light of Empirical Research. 2016.
  • Hiniesta F.R. Study on intelligent organizations in Andalusia. Revista Fuentes, 2016, vol. 18 (1), рр. 15–32. DOI: 10.12795/revistafuentes.2016.18.1.01
  • Adamczewski P. Knowledge management of intelligent organizations in turbulent environment. In: Omazic M.A., Roska V., Grobelna A. (Eds.) Economic and Social Development, 2018. Pp. 413–422.
  • Kondratenko Yu.N. "Smart" enterprise in the industry of the region: Concept and prospects. In: Ural – XXI vek: region innovatsionnogo razvitiya (materialy II Mezhdunar. nauch.-prakt. konf) [Ural – XXI century: A region of innovative development (Proceedings of the II International research-to-practice conference)], 2017. Pp. 158–164 (in Russian).
  • Knyaginin V.N. «Umnye» sredy, «umnye» sistemy, «umnye» proizvodstva: Promyshlennyi i tekhnologicheskii forsait Rossiiskoi Federatsii na dolgosrochnuyu perspektivu ["Smart" environments, "smart" systems, "smart" industries: Industrial and technological foresight of the Russian Federation for the long term]. CSR North-West, 2013.
  • Kapustina L.M., Kondratenko Yu.N. On the issue of the concept of “smart enterprise” in the digital economy. Voprosy upravleniya=Management Issues, 2020, no. 4 (65). DOI: 10.22394/2304-3369-2020-4-33-43 (in Russian).
  • Filos E., Helmrath C., Riemenschneider R. «Smart factories» with next Generation of Production Systems. 2011. Available at: http://ec.europa.eu/research/industrial_technologies/pdf/conference2011/fof-1-5-rolf-riemenschneider-christoph-helmrath-11072011_en.pdf (accessed: December 22, 2020).
  • Espinoza M.P.G., Secaira J.I.M., Roca F.F.L. Knowledge management for the development of intelligent organizations. Revista Publicando, 2016, vol. 3 (9), pp. 662–675.
  • Cruz Y.R. Strategic conception of the information and knowledge management for intelligent organizations. Bibliotecas-Anales De Investigacion, 2016, vol. 12 (2), pp. 165–181.
  • Bergstein B. From intelligent systems to intelligent organizations. Research-Technology Management, 2019, vol. 62 (3), pp. 31–37. DOI: 10.1080/08956308.2019.1587300
  • Anastasi A. Intelligence as a quality of behavior. What is Intelligence, 1986, рр. 19–21.
  • Sternberg R.J., Salter W. Conceptions of intelligence. Handbook of Human Intelligence, 1982, vol. 1, pp. 3–28.
  • Detterman D.K., Sternberg R.J. (Eds.) How and how much can Intelligence be Increased. Praeger, 1982.
  • Wilensky H.L. Organizational Intelligence: Knowledge and Policy in Government and Industry. 2015, vol. 19. Quid Pro Books.
  • March J.G., Olsen J.P. Ambiguity and Choice in Organizations. Universitetsforlaget, 1979.
  • Quinn J.B. Intelligent Enterprise: A Knowledge and Service Based Paradigm for Industr. Simon and Schuster, 1992.
  • Quinn J.B., Anderson P., Finkelstein S. Leveraging intellect. Academy of Management Perspectives, 1996, vol. 10 (3), pp. 7–27.
  • Haeckel S.H., Nolan R.A. Managing by wire. Harvard Business Review, 1993, vol. 71 (5), pp. 122–132.
  • Liang T.Y. Nurturing intelligent human systems: The nonlinear perspective of the human minds. Human Systems Management, 2001, vol. 20 (4), pp. 281–289.
  • Liang T.Y. The inherent structure and dynamic of intelligent human organizations. Human Systems Management, 2002, vol. 21 (1), pp. 9–19.
  • McMaster M.D. The Intelligence Advantage: Organizing for Complexity. Boston: Butterworth-Heinemann, 1996.
  • Glynn M.A. Innovative genius: A framework for relating individual and organizational intelligences to innovation. Academy of Management Review, 1996, vol. 21 (4), pp. 1081–1111.
  • Halal W.E. Organizational intelligence: What is it and how can managers use it to improve performance? Knowledge Management Review, 1997, vol. 1 (1), pp. 20–25.
  • Liebowitz J. Building Organizational Intelligence: A Knowledge Management Primer. CRC press, 1999.
  • Bollinger A.S., Smith R.D. Managing organizational knowledge as a strategic asset. Journal of Knowledge Management, 2001, vol. 5 (1), pp. 8–18. DOI: https://doi.org/10.1108/13673270110384365
  • Guseinova T.N. Innovation production models. Vestnik MGIMO-Universiteta=MGIMO Review of International Relations, 2016, no. 3 (48). Available at: https://cyberleninka.ru/article/n/modeli-proizvodstva-innovatsiy (accessed: December 22, 2020) (in Russian).
  • Simsek Z., Heavey C., Veiga J.F., Souder D. A typology for aligning organizational ambidexterity's conceptualizations, antecedents, and outcomes. Journal of Management Studies, 2009, vol. 46 (5), pp. 864–894.
  • Ivanova E.V. Technology and its role in the evolutionary development of society. Vestnik Chelyabinskogo gosudarstvennogo universiteta=Bulletin of Chelyabinsk State University, 2009, no. 9 (147), pp. 42–45. Available at: https://cyberleninka.ru/article/n/tehnologiya-i-eyo-rol-v-evolyutsionnom-razvitii-obschestva (accessed: December 22, 2020) (in Russian).
  • Myasnikova L. A paradigm shift. New global project. Mirovaya ekonomika i mezhdunarodnye otnosheniya=World Eсonomy and International Relations, 2006, no. 6, pp. 3–14 (in Russian).
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