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№1, 2023

ANALYSIS OF INTELLECTUAL POTENTIAL MEASUREMENT INDICATORS
Makrufa Sh. Hajirahimova, Marziya I. Ismayilova
hmakrufa@gmail.com, imarziya@gmail.com

Intellectual potential is the main resource for development and transformation of society. Assessment of intellectual potential is considered as an important factor in increasing the efficiency of the national economy at the modern stage development of the society of information and knowledge economy. This study is dedicated to the analysis of the existing system of indicators used for the assessment of intellectual potential. The main goal of the work is to study the international experience in the field of intellectual potential assessment and the main indicators of intellectual potential measurement. The article examines the main components of intellectual potential (scientific-technical, innovation, educational and cultural potential) and assessment levels (micro, meso and macro). It analyzes the system of indicators offered by several researchers, developed countries and international organizations for the assessment of intellectual potential. It also interprets the intellectual potential assessment indicators of the of higher educational institutions and informs about the international rating systems used for the world universities ranking. Finally, it highlights the indicators system for the assessment of intellectual potential in Azerbaijan and provides recommendations (pp.53-65).

Keywords:Human resources, Intellectual capital, Intellectual potential, Assessment of intellectual potential, Indicator, System of indicators
DOI:

http://doi.org/10.25045/jpis.v14.i1.06

References
  • Fisunenko, P., Ziuzia, A. (2021). Effıcıency of ıntellectual potentıal as a factor of ıncreasıng the competıtıveness of the natıonal economy. Green, Blue & Digital Economy Journal, 2(2), 60-67. DOI: https://doi.org/10.30525/2661-5169/2021-2-9
  • Sagiyeva, R. et al. (2018). Intellectual input of development by knowledge-based economy: problems of measuring in countries with developing markets. International Journal Entrepreneurship and sustainability. 6(2), 711-728. http://doi.org/10.9770/jesi.2018.6.2(17)
  • Levashov, V. K. (2009). The Intellectual Potential of Society: Sociological Measurement and Forecasting. Psychological Science and Education. 4, 41-49. (in Russian)
  • Becker, G. S. (1962). Investment in Human Capital: A Theoretical Analysis. — Journal of Political Economy.70(5), 2, 9–49.
  • Schultz, T. W. (1972). Human Resources (Human Capital: Policy Issues and Research Opportunities), New York: National Bureau of Economic Research.
  • Miles, R. E. (1965). Human relations or human resources? Harvard Business Review, 43(4), 148–157.
  • Stewart, T.A. (1997). Intellectual Capital: The New Wealth of Organizations, Doubleday/Currency, New York, NY.
  • Edvinsson, L. and Malone, M.S. (1997), Intellectual Capital: Realizing your Company’s True Value by Finding its Hidden Brainpower, Harper Business, New York, NY.
  • Brooking, A. (1996). Intellectual Capital, International Thomson Business Press, Boston, MA.
  • Brooking, A. (1997). Intellectual Capital: Core Asset for the Third Millennium Enterprise, Thomson Business Press, London.
  • Nilsson, C-H., Ford, D. (2004). Introducing intellectual potential – the case of Alfa Laval. Journal of Intellectual Capital, 5(3), 414-425. DOI:10.1108/14691930410550372
  • Leonidova, G.V. (2014). Intellectual potential of population: theoretical and methodological framework for research. The journal Economic and social changes: facts, trends, forecast, 1(31), 43-58.
  • Doktorovich, A.B. (2012). Sociological analysis and methodology for assessing the development of intellectual potential, News of Moscow Univ., 1, 143-154. (in Russian)
  • Levashov, V.K., Rutkevich, M.N. (2000). On the concept of intellectual potential and ways to measure it, Naukovedenie, 1, 49-65. (in Russian)
  • Igorevna, P.A., Grigorievna, B.O. (2020). Analysis of indicators of the intellectual potential of the regions. Information and Mathematical Technologies in Science and Management, 3(19), 105-113. (in Russian)
  • Agranovich, M.L. (2009). Indicators in education management: what do they show and where do they lead? Psychological Science and Education, 4, 120-145. (in Russian)
  • Mammadova, M.H. (2019). Intelligent management of the IT specialist’s labor market. Baku: Information technologies. 298 p. (in Azerbaijani)
  • Mammadova, M.H., Jabrayilova, Z.Q. (2016). Opportunities and challenges of using big data in solving human resource management. Problems of information technology, 1, 33–40. (in Azerbaijani)
  • Choong, K. K. (2008). Intellectual capital: definitions, categorization and reporting models. Journal of Intellectual Capital 9(4), 609-638. DOI 10.1108/14691930810913186
  • Sullivan, P.H. (2000). Value-Driven Intellectual Capital: How to Convert Intangible Corporate Assets into Market Value, Wiley, New York, NY.
  • Pulic, A. (1998). Measuring the Performance of Intellectual Potential in Knowledge Economy. In procc. the 2nd McMaster World Congress on Measuring and Managing Intellectual Capital by the Austrian Team for Intellectual Potential,1-20.
  • Dasgupta P., David P.A. (1994). Toward a new economics of science. Research Policy, 23, 487-521.
  • David, P.A. (1993). Intellectual property institutions and the panda’s thumb: patents, copyrights, and trade secrets in economic theory and history. Washington, DC: National Academy Press, 442 p.
  • Ling, Y.H. (2011). The influence of intellectual capital on organizational Performance- Knowledge management as moderator. Asia Pacific Journal of Management, 30, 937-964.
  • Jaffe, A. (2000). The US patent system in transition: policy innovation and the innovation process. Research Policy, 29, 531-557.
  • Turysbekova, A.B. (2020). Foreign experience in the development of intellectual potential and its adaptation to the conditions of Kazakhstan. Economics: Strategy and Practice, 15(3), 195 - 206. org/10.51176/JESP/issue_3_T15 (in Russian)
  • Zhangaliyeva, K.N., Korgasbekov, D.R. (2020). Intellectual Potential of the Country: Concept, Structure and Assessment Methods. NEWS of the National Academy of Sciences of the Republic of Kazakhstan Series of Social and Human Sciences, 4(332), 84 – 92.
  • Beugelsdijk, S., Klasing, M. J. & Milionis, P. (2018). Regional economic development in Europe: the role of total factor productivity. Regional Studies, 52 (4), 461–476.
  • Baltgailis, J. (2019). The issues of increasing the effectiveness of teaching comparative economics. Insights into Regional Development, 1(3), 190–199. doi.org/10.9770/ird.2019.1.3(1)
  • Nimtrakoon, S. (2015). The relationship between intellectual capital, firms’ market value and financial performance: Empirical evidence from the ASEAN. Journal of Intellectual Capital, 16 (3), 587–618.
  • Brodowska-Szewczuk, J. (2019). Determinants of the development of enterprises’ innovativeness in the aspect of competitiveness of the economy. Entrepreneurship and Sustainability 7(2), 1279–1295. doi.org/10.9770/jesi.2019.7.2(33)
  • Rivatovich, A.A., Rivatovna, F.A. (2013). Methods for assessing the potential of science and its personnel. Internet journal “Naukovedenie”, 4. (in Russian)
  • Human Development Index (HDI). (2022). https://hdr.undp.org/data-center/human-development-index#/indicies/HDI
  • Drucker, P. (1992). The New Society of Organizations, Harvard Business Review.
  • Skyrme, J. David (2007). Measuring Knowledge: A Plethora of Methods. David Skyrme Associates. Dostopno prek: http://www.skyrme.com/insights/24kmeas.htm
  • Bec, B. (2014). Moč intelektualnega kapitala. http://www.poslovnisvet.si/vodenje/moc-intelektualnega-kapitala/
  • Lin, Y-Y., Edvinsson, L. (2010). National intellectual capital: comparison of the Nordic countries. New York: Springer-Verlag.
  • Niwa, F., Tomizawa, H. (1996). A trial of general indicator of science and technology: Methodological study of overall estimation of national S&T activity. Scientometrics, 37, 245–265.
  • Pfetsch, F. R. (1990). The measurement of a country scientific and technological potential. Scientometrics, 19(5-6), 495–504.
  • Grupp, H. (1990). On the supplementary functions of science and technology indicators: The case of West German telecommunications research and development. Scientometrics, 19(5-6), 447–472. doi:10.1007/bf02020707
  • Bilan, Y. et al. (2020). An Analysis of Intellecutal Potential and its Impact on the Social and Economic Development of European Countries. Journal of Competitiveness, 12(1), 22–38. https://doi.org/10.7441/joc.2020.01.02
  • Zadumkin, K.A., Kondakov, I.A. (2010). Methodology for comparative assessment of the scientific and technical potential of the region. Innovative development, 4(12), 86-100. (in Russian)
  • Stukalova, I.B., Stukalova, A.A., Selyanskaya, G.N. (2016). Assessment of Effectiveness of Use of Intellectual Potential of a University: a Methodological Approach. International Journal of enviromental & Science Education, 11(15), 7961-7974.
  • Garafiyeva, G. (2014). Intellectual potential of higher education institution: measurement technique. BUKEP Bulletin, 1, 353-358.
  • Khabibullina, L.R. (2017). Evaluation and analysis of the intellectual potential of universities in the Republic of Bashkortostan. Statistics and Economics, 4, 90-98. (in Russian).
  • ShanghaiRanking's Academic Ranking of World Universities Methodology. (2022). https://www.shanghairanking.com/methodology/arwu/2022
  • World University Rankings. (2023). https://www.timeshighereducation.com/world- rankings/world-university-rankings-2023-methodology
  • QS World University Rankings: Top global universities (2023). https://www.topuniversities.com/university-rankings/world-university-rankings/2023
  • The State of U.S. Science and Engineering. (2022). https://ncses.nsf.gov/pubs/nsb20221
  • Science & Engineering State Indicators. (2022). https://ncses.nsf.gov/indicators/states/
  • Bondarenko, N.V., Gokhberg, L.M. Zorina, O.A. et al. (2022). Indicators of education: 2022: statistical compendium. National research University “Higher School of Economics”. – M.: NRU HSE, 532 p. (in Russian)
  • Gokhberg, L. M., Kuzminov, Ya. I. (2022). Indicators of Science: 2022: Statistical Collection. Publisher: NRU HSE. 398 p. (in Russian)
  • Digest of Japanese Science and Technology Indicators 2021 https://www.nistep.go.jp/wp/wp-content/uploads/NISTEP-RM311-SummaryE.pdf
  • Tanaka, M. (1989). Japanese-style evaluation systems for R&D projects: The MITI experience. Research Policy, 18(6), 361–378. doi:10.1016/0048-7333(89)90023-1
  • Kodama, F., Niwa, F. (1987). Structure Analysis of the Japanese Science and Technology Indicator System and its Evaluation. Journal of Science Policy & Research Management, 2(2), 173-183.
  • Education and Training Monitor. (2021). https://op.europa.eu/webpub/eac/education-and-training-monitor-2021/en/germany.html
  • Germany - Science and Technology. (2022). https://data.humdata.org/dataset/world-bank-science-and-technology-indicators-for-germany/resource/
  • (2023). https://data.worldbank.org/indicator
  • Angrist N., Djankov S., Pinelopi, K. G., Harry, A. P. (2021). Measuring human capital using global learning data Nature, 592, 403–408.
  • Kraay, A. (2018). Methodology for a World Bank Human Capital Index. Policy Research Working Papers. The World Bank. doi:10.1596/1813-9450-8593
  • (2021). Measuring Productivity. OECD Manual. Measurement of aggregate and industry-level productivity growth. http://www.oecd.org/sdd/productivity-stats/2352458.pdf
  • European Commission. (2013). Comparing the innovation performance of the EU Member States, MEMO /13/274 https://ec.europa.eu
  • Education, science and culture in Azerbaijan. (2022). https://www.stat.gov.az (in Azerbaijani)
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