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Competitio

Vol. 24 No. 1-2 (2025)
Papers

The VAIC™-based efficiency of intellectual capital and quantile panel analysis of profitability in the Visegrad countries and Romania

Published:
2025-11-18
DOI Linkhttps://doi.org/10.21845/comp/2025/1-2/8
Authors
Mirjam Hamad,
Tibor Tarnóczi
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Keywords
Intellectual capital VAIC profitability Intangible Assets
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Copyright (c) 2025 Mirjam Hamad, Tibor Tarnóczi

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How To Cite
Selected Style: APA
Hamad, M., & Tarnóczi, T. (2025). The VAIC™-based efficiency of intellectual capital and quantile panel analysis of profitability in the Visegrad countries and Romania. Competitio, 24(1-2), 146-166. https://doi.org/10.21845/comp/2025/1-2/8
Received 2025-03-09
Accepted 2025-09-29
Published 2025-11-18
Abstract

The aim of the study is to examine the efficiency of intellectual capital in companies from the Visegrad Four countries and Romania. The study investigates the development of intellectual capital efficiency in large companies from five countries, focusing on the components of the VAIC indicator. Furthermore, using panel regression, the study analyzes the impact of the elements of the VAIC indicator on profitability indicators considered by investors. The results of the research indicate that most of the independent variables have an impact on profitability indicators. The effect was stronger for companies with lower profitability indicators, while smaller changes were observed in companies with higher profitability. Additionally, it was found that human capital had the greatest impact on profitability.

References
  1. Al-Ali, N. (2003): Comprehensive Intellectual Capital Management. John Wiley & Sons, Inc.,United States of America. 312 p. ISBN: 978-0-471-27506-0
  2. Andriessen, D. (2004): Making Sense of Intellectual Capital: Designing a Method for the Valuation of Intangibles, Amsterdam: Elsevier Butterworth-Heinemann,, ISBN 0- 7506-7774-0.
  3. Bakhshal, A. – Afrazeh, A. – Esfahanipour, A. (2017): A Criticism on Value Added Intellectual Coefficient (VAIC) Model. International Journal of Computer Science and Network Security.
  4. Baltagi, B.H., Egger, P., and Pfaffermayr, M. (2013), A generalized spatial panel data model with random effects. Econometric Reviews, 32, pp. 650–685.
  5. Boisot, M. (2002): The creation and sharing of knowledge. in C.W. Choo & N. Bontis. The Strategic Managment of Intellecutal Capital and Organizational Learning, Oxford University Press, Oxford.
  6. Brealey, R. A. – Mayers S. C. (2005): Modern vállalati pénzügyek. Panem könyvkiadó Kft,. Budapest, 1175 p. ISBN: 963-545-422-8
  7. Croissant, Y. and Millo, G. (2019), Panel data econometrics with R. Hoboken, NJ, John Wiley & Sons.
  8. Damodaran, A (2006): Dealing with Intangibles: Valuing Brand Names, Flexibility and Patents. New York University.
  9. Edvinsson, L. – Malone, M.S. (1997): Intellectual Capital: Realizing your Company’s True Value by Finding its Hidden Brainpower, Harper Business, New York, NY.
  10. Fijalkowska, J. (2014): Value Added Intellectual Coefficient (VAIC™) as a Tool of Performance Measurement. Entrepreneurship and Management, University of Social Sciences Publishing House.
  11. Glautier, M. W. E., Underdown, B. & Morris, D. (2011). Accounting Theory and Practice.Edinburgh: Pearson Education Ltd.
  12. Huang, Q., Zhang, H., Chen, J. and He, M. (2017), Quantile Regression Models and Their Applications: A Review. Journal of Biometrics & Biostatistics, 8, pp. 1-6. doi: 10.4172/2155-6180.1000354
  13. Jarboe, K. P. (2007): Measuring Intangibles: A Summary of Recent Activity paper commissioned by the Alliance for Science & Technology Research in America (ASTRA) as part of its Innovation Vital Signs project.
  14. Kato, K., Galvao, A.F., and Montes-Rojas, G.V. (2012). Asymptotics for panel quantile regression models with individual effects. Journal of Econometrics, 170(1), pp. 76–91. doi: 10.1016/j.jeconom.2012.02.007
  15. Katona, F., Tömöri, G. (2021). Comparison Of Hungarian And Romanian Soft Drink Producer Companies Based On Their Financial Situation, SEA: Practical Application Of Science, 25(1), pp. 15-21
  16. Lev, B. (2001): Intangibles: Management, Measurement, and Reporting. Brookings Institution Press,Washington DC, 231 p. ISBN: 978-0815700937
  17. Lev, B. (2005): Intangible Assets: Concepts and Measurements. Encyclopedia of Social Measurement, New York, Vol. 2. doi: 10.1016/B0-12-369398-5/00471-0
  18. Lev, B. – Daum, J. H. (2004): The dominance of intangible assets: consequences for enterprise management and corporate reporting. Measuring Business Excellence, 8(1), 6–17. doi:10.1108/13683040410524694
  19. Lev, B. and Zarowin, P. (1999) The Boundaries of Financial Reporting and How to Extend Them. Journal of Accounting Research, 37, 353-385. http://dx.doi.org/10.2307/2491413
  20. McCracken, M. – Mclover, R. – Treacy, R. ¬– Wall, T. (2018): A Study of Human Capital Reporting in the United Kingdom. Accounting Forum, 42 (1). pp. 130-141. doi: 10.1016/j.accfor.2017.11.001
  21. Nadeem, M., Gan, C., and Nguyen, C. (2017), Does intellectual capital efficiency improve firm performance in BRICS economies? A dynamic panel estimation. Measuring Business Excellence, 21(1), pp. 65–85. doi:10.1108/mbe-12-2015-0055
  22. Ordonez de Pablos, P. (2004): Measuring and reporting structural capital: Lessons from European learning firms. Journal of Intellectual Capital, Vol. 5 No. 4, pp. 629-647
  23. Pasban, M. – Nojedeh, S. H. (2016): A Review of the Role of Human Capital in the Organization. Procedia-Social and Behavioral Sciences, 230, 249-253.
  24. Pulic, A. (2000): VAIC™ – an accounting tool for IC management. International Journal of Technology Management, 20(5-8), 702-714
  25. Pulic, A. (2004): Intellectual capital-does it create or destroy value?. Measuring
  26. Business Excellence”, vol. 8, no. 1.
  27. Sanchez-Canizares, S. M., Munoz, M. A. A., Lopez-Guzman, T. (2007): Organizational culture and intellekctual capital: a new modell. Journal of Intellectual Capital, 8(3), 409-430.
  28. Sheather, S.J. (2009), A Modern Approach to Regression with R. Springer Science + Business Media, LLC.
  29. Stewart, T. A. (1994): Your company’s most valuable asset: intellectual capital, Fortune, vol. 130, no. 7, pp. 68-74.
  30. Svanadze, S. ¬– Kowalewska, M (2015): The measurement of intellectual capital by VAIC method – example of WIG20, Online Journal of Applied Knowledge Management, 3(2), 36-44
  31. Tiwari, R. and Vidyarthi, H. (2018), Intellectual capital and corporate performance: a case of Indian banks. Journal of Accounting in Emerging Economies, 8(1), pp. 84–105. doi:10.1108/jaee-07-2016-0067
  32. Tömöri, G., & Bács, Z. (2015). Application of cost analysis methods in pharmacoeconomic decisions. Procedia Economics and Finance, 32, pp. 416-422.
  33. Tömöri, G., Csontos, Gy. (2025): The impact of energy crisis on variance-and Gini-optimized portfolio structures – case of Hungary. ECONOMICA, 16(1-2), pp. 1-13.
  34. Tömöri, G., Horváth, R. (2024). Közép-európai gyógyszergyártó vállalatok forgótőke helyzetének elemzése. ECONOMICA, 15(3-4), pp. 1-13.
  35. Tran, D.B. and Vo, D.H. (2018), Should bankers be concerned with Intellectual capital? A study of the Thai banking sector. Journal of Intellectual Capital, 19(5), pp. 897–914. doi:10.1108/jic-12-2017-0185
  36. Tsounis, N. and Vlachvei, A. (editors) (2017), Advances in Panel Data Analysis in Applied Economic Research. International Conference on Applied Economics (ICOAE). Springer Proceedings in Business and Economics.
  37. Yao, H., Haris, M., Tariq, G., Javaid, H. M., and Khan, M.A.S. (2019), Intellectual Capital, Profitability, and Productivity: Evidence from Pakistani Financial Institutions. Sustainability, 11(14), pp. 1-30. doi:10.3390/su11143842
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