Knowledge transfer to high-tech sector organizations: factors, problems and prospects
Автор: Flek M.B., Ugnich E.A.
Журнал: Economic and Social Changes: Facts, Trends, Forecast @volnc-esc-en
Рубрика: Science, technology and innovation development
Статья в выпуске: 5 т.16, 2023 года.
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The article investigates the features and drivers of development of knowledge transfer to organizations of the high-tech sector from the academic sector. We systematize methods for obtaining and transferring knowledge by the organization, and the types of knowledge transfer. We highlight knowledge transfer factors from the perspective of process-based, network and system approaches. In order to confirm the theoretical conclusions obtained, we analyze knowledge transfer factors on the example of a large high-tech enterprise. The empirical basis of the study includes the results of a survey of employees (Rostov-on-Don, Russia) carried out in April - May 2023. According to the results of the questionnaire survey, we carry out correlation and regression analysis to establish actual relationship between the factors characterizing the parameters of knowledge transfer from the academic environment. It is shown that all groups of factors have a direct positive impact on the results of knowledge transfer. At For citation: Flek M.B., Ugnich E.A. (2023). Knowledge transfer to high-tech sector organizations: Factors, problems and prospects. Economic and Social Changes: Facts, Trends, Forecast, 16(5), 83-100. DOI: 10.15838/esc.2023.5.89.5 the same time, it is emphasized that the factors such as the recipient of knowledge, knowledge providers and mutual trust of the transfer participants, that is, the factors characterizing the internal motivation of the participants, have a stronger impact on the result of the knowledge transfer as compared to the factors like the organization of interaction, which reflect external motivation. According to the conclusions obtained, we put forward some recommendations aimed at improving the effectiveness of factors affecting the transfer of knowledge to an enterprise. There are five main directions for the development of knowledge transfer: improving the efficiency of organizing the interaction between the supplier and the recipient of knowledge; strengthening the level of trust between them; expanding the circle of knowledge providers; increasing their ability to transfer knowledge and the ability to perceive new knowledge by the recipient, increasing the effectiveness of the application of acquired knowledge. We emphasize the importance of the professional and educational ecosystem as an open non-hierarchical stable relationship of the enterprise with educational, scientific, and nongovernmental organizations in the development of knowledge transfer.
Knowledge transfer, interaction, trust, knowledge providers, knowledge recipients, absorbing capacity of the organization, high-tech sector, academic sector
Короткий адрес: https://sciup.org/147242460
IDR: 147242460 | DOI: 10.15838/esc.2023.5.89.5
Список литературы Knowledge transfer to high-tech sector organizations: factors, problems and prospects
- Abreu M., Grinevich V., Hughes A. et al. (2008). Universities, Business and Knowledge Exchange. London and Cambridge: Council for Industries and Higher Education and Centre for Business Research.
- Albers A., Gronau N., Rapp S. et al. (2019). Influencing factors and methods for knowledge transfer situations in Product Generation Engineering based on the SECI model. In: Knowledge Transfer Speed Optimizations in Product Development Contexts. Results of a Research Project. Empirical Studies of Business Informatics. Berlin: GITO mbH Verlag.
- Andreevskii I.L. et al. (2019). Razvitie nauki i nauchno-obrazovatel’nogo transfera logistiki [Development of Science and Scientific and Educational Transfer of Logistics]. Saint Petersburg: Izd-vo SPbGEU.
- Ankrah S., AL-Tabbaa O. (2015). Universities-industry collaboration: A systematic review. Scand. J. Manag., 31(3), 387–408.
- Antonov V.G., Petrenko E.S., Drobot E.V., Makarov I.N. (2023). Trust as a factor of effective intra-company management and market contracting. Kreativnaya ekonomika, 17(7). DOI: 10.18334/ce.17.7.118367 (in Russian).
- Argote L., Ingram P., Levine J.M., Moreland R.L. (2000). Knowledge transfer in organizations: Learning from the experience of others. Organizational Behavior and Human Decision Processes, 82(1), 1–8. DOI: https://doi.org/10.1006/obhd.2000.2883
- Avdonin V.S., Spirov A.V., Eremeev A.V. (2020). Interdisciplinary transfer of knowledge as metaphorical transfer: Evolutionary biology, evolutionary computing, and computational evolutionary biology as areas of interdisciplinary transfers. Sotsiologiya nauki i tekhnologii=Sociology of Science and Technology, 11(4), 110–138. DOI: 10.24411/2079-0910-2020-14007 (in Russian).
- Azagra-Caro J., Barbera-Tomas D., Edwards-Schachter M., Tur E. (2017). Dynamic interactions between university-industry knowledge transfer channels: A case study of the most highly cited academic patent. Res. Policy, 42, 463–474.
- Barney J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120.
- Borodyuk V.P., Voshchinin A.P., Ivanov A.Z. et al. (1983). Statisticheskie metody v inzhenernykh issledovaniyakh [Statistical Methods in Engineering Research]. Moscow: Vysshaya shkola.
- Bresman J., Birkinshaw H., Nobel R. (1999). Knowledge transfer in acquisitions. J. Int. Bus. Stud., 30(3), 439–462. DOI: https://doi.org/10.1057/palgrave.jibs.8490078
- Bruneel J., D'Este P., Salter A. (2015). The impact of financial slack on explorative and exploitative knowledge sourcing from universities: Evidence from the UK. Ind. Corp. Chang, 25(4), 689–706.
- Cohen W.M., Levinthal D.A. (1990). Absortive capacity: A new perspective on learning and innovation. Adm. Sci. Q., 35(1), 128–152.
- Cronbach L.J. (1951). Coefficient Alpha and the internal structure of tests. Psychometrika, 16, 297–334.
- De Silva M., Al-Tabbaa O., Pinto J. (2023). Academics engaging in knowledge transfer and co-creation: Push causation and pull effectuation? Research Policy, 52(2), 104668. DOI: https://doi.org/10.1016/j.respol.2022.104668
- De Silva M., Rossi F. (2018). The effect of firms’ relational capabilities on knowledge acquisition and co-creation with universities. Technological Forecasting and Social Change, 133, 72–84. DOI: https://doi.org/10.1016/j.techfore.2018.03.004
- D’Este P., Guy F., Iammarino S. (2013). Shaping the formation of university–industry research collaborations: What type of proximity does really matter? J. Econ. Geogr., 13, 537–558.
- Edmondson A.C., Harvey J.F. (2018). Crossboundary teaming for innovation: Integrating research on teams and knowledge in organizations. Human Resource Management Review, 28(4), 347–360.
- Flek M.B., Ugnich E.A. (2022а). Formation of human capital in the real economy sector: Ecosystem approach. MIR (Modernizatsiya. Innovatsii. Razvitie)=MIR (Modernization, Innovation, Research), 13(2), 154–171. DOI: 10.18184/2079-4665.2022.13.2.154-171 (in Russian).
- Flek M.B., Ugnich E.A. (2022b). Development of forms of interaction between the enterprise and the university within the framework of the dual education model: Experience and prospects. Perspektivy nauki i obrazovaniya=Perspectives of Science & Education, 4(58), 671–691. DOI: 10.32744/pse.2022.4.39 (in Russian).
- Galison P. (1999). Trading zone. Coordinating action and belief. In: Biagioli M. (Ed.). The Science Studies Reader. New York: Routledge.
- Gitel’man L.D., Kozhevnikov M.V., Ryzhuk O.B. (2020). Technology of accelerated knowledge transfer for anticipatory training of specialists in digital economy. Ekonomika regiona=Economy of Region, 16(2), 435–448. DOI: 10.17059/2020-2-8 (in Russian).
- Giuri P., Munari F., Scandura A., Toschi L. (2019). The strategic orientation of universities in knowledge transfer activities. Technological Forecasting and Social Change, 138, 261–278. DOI: https://doi.org/10.1016/j.techfore.2018.09.030
- Hansen M.T. (2002). Knowledge networks: Explaining effective knowledge sharing in multiunit companies. Organ. Sci. 13(3), 232–248. DOI: https://doi.org/10.1287/orsc.13.3.232.2771
- Huang G., Ye Z., Xia Y. (2021). How do postdoctoral workstations affect human capital upgrading in firms? Foreign Economics & Management. 43(11), 122–139.
- Inkpen A.C., Tsang W.K.E. (2005). Social capital, networks, and knowledge transfer. Acad. Manage. Rev., 30(1), 146–165. DOI: https://doi.org/10.5465/amr.2005.15281445
- Kalabina E.G., Belyak O.Yu. (2020). Cross-functional teams as an instrument for the development of company’s knowledge potential. Vestnik Sankt-Peterburgskogo universiteta. Menedzhment=Vestnik of Saint Petersburg University. Management, 19(3), 336–361. DOI: 10.21638/11701/spbu08.2020.303 (in Russian).
- Kalabina E.G., Belyak O.Yu. (2021). Factors of knowledge sharing in managing cross-functional teams. Rossiiskii zhurnal menedzhmenta=Russian Management Journal, 4, 515–541. DOI: 10.21638/spbu18.2021.407 (in Russian).
- Kat’kalo V.S. (2006) Evolyutsiya teorii strategicheskogo upravleniya [Evolution of Strategic Management Theory]. Saint Petersburg: Izd-vo SPbGU.
- Klippert M. et al. (2022). Analysis of factors influencing knowledge transfer between the product and production system development as well as production. Procedia CIRP, 109, 340–348. DOI: http://doi.org/ 10.1016/j.procir.2022.05.260
- Kogut B., Zander U. (1992). Knowledge of the firm, combinative capabilities, and the replication of technology. Organization Science, 3(3), 383–397.
- Kopytova E.D., Pakhnina S.Yu. (2023). Experience in project management of socio-economic processes at the municipal level of government. Ekonomicheskie i sotsial’nye peremeny: fakty, tendentsii, prognoz=Economic and Social Changes: Facts, Trends, Forecast, 16(3), 159–182. DOI: 10.15838/esc.2023.3.87.8 (in Russian).
- Kornai J. (2003). Honesty and trust in the light of the post-socialist transition. Voprosy ekonomiki, 9, 4–17 (in Russian).
- Likert R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 140, 52.
- Ma Y., Li B. (2022). Effect of digitalization on knowledge transfer from universities to enterprises: Evidence from postdoctoral workstation of Chinese enterprises. Technology in Society, 71, 102102. DOI: https://doi.org/10.1016/j.techsoc.2022.102102
- Meng D., Li X., Rong K. (2019). Industry-to-university knowledge transfer in ecosystem-based academic entrepreneurship: Case study of automotive dynamics & control group in Tsinghua University. Technological Forecasting and Social Change, 141, 249–262. DOI: https://doi.org/10.1016/j.techfore.2018.10.005
- Nonaka I., Takeuchi H. (1995). The Knowledge-Creating Company How Japanese Companies Create the Dynamics of Innovation. Oxford, UK: Oxford University Press.
- Nosulenko V.N., Terekhin V.A. (2017). Knowledge transfer: An overview of the models and technologies. Eksperimental’naya psikhologiya=Experimental Psychology, 10(4), 96–115. DOI: 10.17759/exppsy.2017100407 (in Russian).
- Nunnally J.C. (1978). Psychometric Theory. 2nd edition. New York: McGraw-Hill.
- Orlova E.V. (2021). Assessment of the human capital of an enterprise and its management in the context of the digital transformation of the economy. Journal of Applied Economic Research, 20(4), 666–700. DOI: 10.15826/vestnik.2021.20.4.026 (in Russian).
- Rohrbeck R., Battistella C., Huizingh E. (2015). Corporate foresight: An emerging field with a rich tradition. Technol. Forecast. Soc. Change, 101, 1–9. DOI: https://doi.org/10.1016/j.techfore.2015.11.002
- Sun J., Ren X., Anumba Ch.J. (2019). Analysis of knowledge-transfer mechanisms in construction project cooperation networks. Journal of Management in Engineering, 35(2), 04018061. DOI: 10.1061/(ASCE)ME.1943-5479.0000663
- Szulanski G. (1996). Exploring internal stickiness: Impediments to the transfer of best practice within the firm. Strategic Manage. J., 17(S2), 27–43. DOI: https://doi.org/10.1002/smj.4250171105
- Szulanski G. (2000). The process of knowledge transfer: A diachronic analysis of stickiness. Organ. Behav. Hum. Decis. Processes, 82(1), 9–27. DOI: https://doi.org/10.1006/obhd.2000.2884
- Teece D.J. (1977). Technology transfer by multinational firms: The resource cost of transferring technological know-how. Econ. J., 87(346), 242–261. DOI: https://doi.org/10.2307/2232084
- Teece D.J., Pisano G., Shuen A. (2003). Dynamic capabilities and strategic management. Vestnik S.-Peterb. un-ta. Ser. “Menedzhment”=Vestnik of Saint Petersburg University. Management, 4, 133–185 (in Russian).
- Thiel M. (2002). Wissenstransfer in komplexen Organisationen. Effizienz durch Wiederverwendung von Wissen und Best Practices. Wiesbaden: Deutscher Universitätsverlag. DOI: https://doi.org/10.1007/978-3-663-09152-3
- Wu W.-L., Hsu B.-F., Yeh R.-S. (2007). Fostering the determinants of knowledge transfer: A team-level analysis. Journal of Information Science, 33(3), 326–333.
- Zavyalova E., Kucherov D., Tsybova V. (2017). Human resource management at Russian companies – leaders of the global economy. Forsait=Foresight and STI Governance, 11(4), 52–61. DOI: 10.17323/2500-2597.2017.4.52.61 (in Russian).