2025 1(48) 19

Assessment of Synergistic Effects of Human Resource and Technological Innovation Interaction in the Context of Regional Resource Potential Development

Vitaliy Igorovych Ostrovetskyy
Candidate of Economic Sciences
ORCID https://orcid.org/0000-0003-3985-5236
e-mail: v.ostrovetskyy@gmail.com,
Kyiv

Citation Format
Ostrovetskyy, V. I. (2025). Assessment of Synergistic Effects of Human Resource and Technological Innovation Interaction in the Context of Regional Resource Potential Development. Vіsnyk ekonomіchnoі nauky Ukraіny, 1 (48), рр. 104-113. https://doi.org/10.37405/1729-7206.2025.1(48).104-113

Language
 Ukrainian

Resume
The article justifies that investments in education and employee qualification improvement directly impact labor productivity growth and the ability to effectively implement innovations. Educated and qualified human capital is a key factor in the rational use of natural resources, the introduction of technological changes, and the formation of an innovative culture. Technological innovations contribute to increasing the efficiency of resource use, process automation, optimization of production cycles, and environmentally rational management, ensuring the sustainable development of regions. Methodological approaches to assessing the synergy of the interaction between human resources and technological innovations, which are components of the resource potential of an economic system at any level, have been further developed. The proposed model for evaluating synergetic results allows for both quantitative and qualitative determination of the synergy effects based on the analysis of information flows and functional dependencies, forecasting the results of the interaction between human resources and technological innovations, as well as making well-founded management decisions for regional development.

Keywords
human capital, technological innovations, regional resource potential, synergy, innovation management, sustainable development, effectiveness assessment, innovative culture.

Referensces

  1. Concise Oxford Dictionary (Oxford English Dictionary). (n.d.). Oxford University Press. Retrieved from https://www.oed.com.
  2. Regional synergy in the context of national adaptation programmes of action. (2005). UN. Retrieved from https://unfccc.int/resource/docs/2005/tp/eng/04.pdf.
  3. Leydesdorff, L. (2021). The Evolutionary Dynamics of Discursive Knowledge: Communication-Theoretical Perspectives on an Empirical Philosophy of Science. DOI: https://doi.org/10.1007/978-3-030-59951-5.
  4. Jaber, J. O., Marahleh, G., Al-Lubani, S., & Khrisat, M. (2025). Energy efficiency retrofitting for old buildings in a low-income district of Amman, Jordan. Academia Green Energy, 2(1). DOI: https://doi.org/10.20935/AcadEnergy7487.
  5. Zhang, H., Cao, Y., Zhang, Y., & Terzija, V. (2018). Quantitative synergy assessment of regional wind-solar energy resources based on MERRA reanalysis data. Applied Energy, 216, рр. 172-182. DOI: https://doi.org/10.1016/j.apenergy.2018.02.094.
  6. Srdjevic, Z., Bajcetic, R., & Srdjevic, B. (2012). Identifying the criteria set for multicriteria decision making based on SWOT/PESTLE analysis: A case study of reconstructing a water intake structure. Water Resources Management, 26, рр. 3379–3393. DOI: https://doi.org/10.1007/s11269-012-0077-2.
  7. Lin, S., & Zhao, G. (2023). System dynamics modeling and applied to international PPP project risk evaluation. In Fuzzy Quantitative Management. (pp. 1-12). Springer. DOI: https://doi.org/10.1007/978-981-10-7688-6_6.
  8. Liu, X., & Zeng, M. (2017). Renewable energy investment risk evaluation model based on system dynamics. Renewable and Sustainable Energy Reviews, 73, рр.782-788. DOI: https://doi.org/10.1016/j.rser.2017.02.019/
  9. Weihrich, H. (1982). The TOWS Matrix—A Tool for Situational Analysis. Long range planning, 15(2), рр. 54–66. DOI: https://doi.org/10.1016/0024-6301(82)90120-0.
  10. Markowitz, H. (1952). Portfolio Selection. The Journal of Finance, 7(1), рр. 77–91. DOI: https://doi.org/10.2307/2975974.
  11. Cooke, P. (2001). Regional innovation systems, clusters and the knowledge economy. Industrial and Corporate Change, 10(4), рр. 945–974. DOI: https://doi.org/10.1093/icc/10.4.945.
  12. Boardman, A. E., Greenberg, D. H., Vining, A. R., & Weimer, D. L. (2018). Cost-Benefit Analysis. Cambridge University Press.
  13. Okoli, C., & Pawlowski, S. D. (2004). The Delphi method as a research tool: an example, design considerations and applications. Information & Management, 42(1), рр. 15–29. DOI: https://doi.org/10.1016/j.im.2003.11.002.
  14. Hagedoorn, J., & Duysters, G. (2002). External sources of innovative capabilities: the preferences for strategic alliances or mergers and acquisitions. Journal of Management Studies, 39(2), рр. 167-188. DOI: https://doi.org/10.1111/1467-6486.00287.
  15. Newman, M. E. J. (2010). Networks: An Introduction. Oxford University Press.
  16. Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: from National Systems and “Mode 2” to a Triple Helix of university-industry-government relations. Research Policy, 29(2), рр. 109–123. DOI: https://doi.org/10.1016/S0048-7333(99)00055-4.
  17. Damodaran, A. (2005). The value of synergy. New York University, Stern School of Business.
  18. Sirower, M. L. (1997). The Synergy Trap: How Companies Lose the Acquisition Game. Free Press.
  19. Ross, S. A., Westerfield, R. W., & Jaffe, J. (2013). Corporate Finance. (10th ed.). McGraw-Hill Education.
  20. Porter, M. E. (1985). Competitive Advantage: Creating and Sustaining Superior Performance. Free Press.
  21. Stewart, G. B. (1991). The Quest for Value: A Guide for Senior Managers. Harper Business.
  22. Schrettle, S., Hinz, A., Scherrer-Rathje, M., & Friedli, T. (2014). Turning sustainability into action: Explaining firms’ sustainability efforts and their impact on firm performance. International Journal of Production Economics, 147, рр. 73–84. DOI: https://doi.org/10.1016/j.ijpe.2013.02.030.
  23. Ishikawa, K. (1985). What is Total Quality Control? The Japanese Way. Prentice-Hall.
  24. Wardhana, A. N., Rachmawati, F., & Widodo, E. (2022). Game theory approach for risk allocation in public-private partnership. In H. A. Lie, M. Sutrisna, J. Prasetijo, B. H. Hadikusumo, & L. S. Putranto (Eds.), Proceedings of the Second International Conference of Construction, Infrastructure, and Materials (pp. 667-679). Springer. DOI: https://doi.org/10.1007/978-981-16-7949-0_42.
  25. Meparishvili, K. (2013). ROI (Return on Investment) on human capital. Caucasus Journal of Social Sciences, 6(1), рр. 107–121. DOI: https://doi.org/10.62343/cjss.2013.
  26. Scandizzo, P. L. (2021). Impact and cost–benefit analysis: A unifying approach. Economic Structures, 10, 10. DOI: https://doi.org/10.1186/s40008-021-00240-w.
  27. Kosmol, L., Maiwald, M., Pieper, C., Plötz, J., Schmidt, T. (2021). An indicator-based method supporting assessment and decision-making of potential by-product exchanges in industrial symbiosis. Journal of Cleaner Production, 289, 125593. DOI: https://doi.org/10.1016/j.jclepro.2020.125593.
  28. Hatton, L., & Warr, G. (2025). The architecture of the genome integrates scale independence with inverse symmetry. Academia Molecular Biology and Genomics, 2(2). DOI: https://doi.org/10.20935/AcadMolBioGen7650.
  29. Song, J., He, Z., Jiang, L., Liu, Z., & Leng, X. (2023). Synergy management of a complex industrial production system from the perspective of flow structure. Systems, 11(9), 453. DOI: https://doi.org/10.3390/systems11090453.
  30. Ullah, A., Nobanee, H., Ullah, S., Iftikhar, H. (2024). Renewable energy transition and regional integration: Energizing the pathway to sustainable development. Energy Policy, 193. DOI: https://doi.org/10.1016/j.enpol.2024.114270.
  31. Guide to Measuring Human Capital. (2016). United Nations. Retrieved from https://unece.org/DAM/stats/publications/2016/ECECESSTAT20166_R.pdf.
  32. Oslo Manual 2018: Guidelines for Collecting, Reporting, and Using Data on Innovation (4th ed.). (2018). OECD Publishing. DOI: https://doi.org/10.1787/9789264304604-en.
  33. Global Risks Report 2024. (2024). World Economic Forum. Retrieved from https://www.weforum.org/publications/global-risks-report-2024/.
  34. Partnership on Measuring Information and Communication Technologies for Development. (2023). UN Secretary-General. Retrieved from https://digitallibrary.un.org/record/4033022?v=pdf&ln=ru.
  35. Fernández-Villaverde, J., Yu, Y., & Zanetti, F. (2025). Technological synergies, heterogeneous firms, and uncertainty shocks. Retrieved from https://www.sas.upenn.edu/~jesusfv/Technological_Synergies.pdf.
  36. Human Development Report 2023–2024. (2024). United Nations Development Programme. Retrieved from https://hdr.undp.org/system/files/documents/global-report-document/hdr2023-24snapshotru.pdf.
  37. Elangovan, U. (2022). Industry 5.0: The Future of the Industrial Economy (1st ed.). CRC Press.
  38. Rijwani, T., Kumari, S., Srinivas, R. et al. (2025). Industry 5.0: A review of emerging trends and transformative technologies in the next industrial revolution. International Journal of Interactive Design and Manufacturing, 19, рр. 667–679. DOI: https://doi.org/10.1007/s12008-024-01943-7
  39. Tóth, A., Nagy, L., Kennedy, R., Bohuš, B., Abonyi, J., Ruppert, T. (2023). The human-centric Industry 5.0 collaboration architecture. MethodsX, 11. DOI: https://doi.org/10.1016/j.mex.2023.102260.
  40. Dhanda, M., Rogers, B. A., Hall, S., Dekoninck, E., Dhokia, V. (2025). Reviewing human-robot collaboration in manufacturing: Opportunities and challenges in the context of industry 5.0. Robotics and Computer-Integrated Manufacturing, 93. DOI: https://doi.org/10.1016/j.rcim.2024.102937.
  41. Kumar, P., Agrawal, A., & Budhwar, P. (2020). Human & Technological Resource Management (HTRM): New insights into Revolution 4.0. Retrieved from https://www.emerald.com/insight/publication/doi/10.1108/9781838672232.
  42. Punthung, J., & Krivart, K. (2022). Innovation and challenges in human resource management in the 21st century. Journal of Management Information and Decision Sciences, 25(S4), рр. 1-8.
  43. Aladejare, S., & Bobbo, S. (n.d.). Brown vs Green energy sources and resource productivity: The role of human capital and technology transfer in developing economies. SSRN. Retrieved from https://ssrn.com/abstract=4645411.
  44. Zervas, I., & Stiakakis, E. (2024). Economic sustainable development through digital skills acquisition: The role of human resource leadership. Sustainability, 16(17), 7664. DOI: https://doi.org/10.3390/su16177664.
  45. Liu, G., & Liang, K. (2024). The role of technological innovation in enhancing resource sustainability to achieve green recovery. Resources Policy, 89. DOI: https://doi.org/10.1016/j.resourpol.2024.104659.
  46. Strategy on Technological Innovation in Education (2022–2025). (2022). UNESCO. Retrieved from https://unesdoc.unesco.org/ark:/48223/pf0000378847.
  47. Okolo, C.V., Wen, J., & Susaeta, A. (2024). Maximizing natural resource rent economics: The role of human capital development, financial sector development, and open-trade economies in driving technological innovation. Environmental Science and Pollution Research, 31, рр. 4453–4477. DOI: https://doi.org/10.1007/s11356-023-31373-z.
  48. 48.Human capital and educational policies. Retrieved from https://www.oecd.org/en/topics/human-capital-and-educational-policies.html.
  49. What role does human capital play in innovation? (2022, October 18). Asian Development Bank. Retrieved from https://blogs.adb.org/blog/what-role-does-human-capital-play-innovation.
  50. Stephan, P., & Levin, S. G. (2019). Driving innovation: Public policy and human capital. Research Policy, 48(10), 103811. DOI: https://doi.org/10.1016/j.respol.2019.05.004.
  51. AI in robotics and automation: The future of efficiency. (2024). TechResearchs. Retrieved from https://techresearchs.com/artificial-intelligence/ai-powered-robots-a-new-era-in-automation-and-efficiency/.
  52. Yuan, L., Wang, T., & Liu, Y. (2024). Optimizing supply chain operations using IoT devices and data analytics. Magna Scientia Advanced Research & Reviews, 8(1), рр. 60–70. Retrieved from https://magnascientiapub.com/journals/msarr/sites/default/files/MSARR-2024-0107.pdf.
  53. Chen, Y., Li, J., & Zhang, M. (2023). Industrial robotics, resource efficiency, energy transition, and circular economy. Sustainability, 17(5), 1960. DOI: https://doi.org/10.3390/su17051960.
  54. Culture: The bedrock of sustainable development. (2023). UNESCO. Retrieved from https://www.unesco.org/en/articles/cutting-edge-culture-bedrock-sustainable-development.
  55. Hunt, A. (2025, January 24). The challenge of recycling rare earth metals—and the scientists making it happen. The Guardian. Retrieved from https://www.theguardian.com/research-to-reality/2025/jan/24/the-challenge-of-recycling-rare-earth-metals-and-the-scientists-making-it-happen.
  56. Zhou, L., Li, B., Li, S., Lei, N. L., & Cheong, K. (2023). Theoretical and practical research in the context of regional synergistic development. In Urban and Regional Cooperation and Development. Springer. DOI: https://doi.org/10.1007/978-981-19-8061-9_2.
  57. Zheng, K., Hu, F., & Yang, Y. (2023). Data-driven evaluation and recommendations for regional synergy innovation capability. Sustainability, 15(14), 11143. DOI: https://doi.org/10.3390/su151411143.
  58. Behzad, M., Abello-Passteni, V., Videla Labayru, J. T., & Martínez Ramírez, P. (2024). Developing an assessment model for uncovering potential synergies of regional industrial symbiosis: A case study of Valparaiso region, Chile. Journal of Cleaner Production, 385, 131577. DOI: https://doi.org/10.1016/j.jclepro.2023.131577.
  59. Korhonen, J., & Snäkin, J.-P. (2005). Analysing regional sustainability through input-output analysis. Journal of Cleaner Production, 13(10), рр. 979–990. DOI: https://doi.org/10.1016/j.jclepro.2004.05.007.
  60. Saaty, T. L. (1980). The Analytic Hierarchy Process. McGraw-Hill. Retrieved from https://link.springer.com/book/10.1007/978-1-4615-1665-1.
  61. Pro zatverdzhennia Natsionalnoi ramky kvalifika-tsii: Postanova Kabinetu Ministriv Ukrainy vid 23 lystopada 2011 r. № 1341 [About the approval of the National Qualification Framework: Resolution to the Cabinet of Ministers of Ukraine dated November 23, 2011. No. 1341]. Retrieved from https://zakon.rada.gov.ua/laws/show/1341-2011-%D0%BF#Text [in Ukrainian].
  62. Han, J., Pei, J., & Kamber, M. (2011). Data Mining: Concepts and Techniques (3rd ed.). Morgan Kaufmann. DOI: https://doi.org/10.1016/C2009-0-61819-5.
  63. Sirower, M. L. (1997). The Synergy Trap: How Companies Lose the Acquisition Game. Free Press. Retrieved from https://www.scirp.org/reference/referencespapers?referenceid=2666524.
  64. Mesarovic, M. D., Macko, D., & Takahara, Y. (1970). Theory of hierarchical, multilevel systems. Academic Press.

Full Text (.pdf)

Received: 15.04.2025
Accepted: 07.05.2025
Published: 19.06.2025