year 7, Issue 2 (Summer 2019)                   aassjournal 2019, 7(2): 41-53 | Back to browse issues page

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Sahebkaran M A, Talebpour M, Keshtidar M, Ghorbani M. Designing an Economic Valuation Model of the Intangible Assets of Volleyball Clubs in Iran. aassjournal. 2019; 7 (2) :41-53
1- Department of Sport Management, Faculty of Sport Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
2- Department of Sport Management, Faculty of Sport Sciences, Ferdowsi University of Mashhad, Mashhad, Iran ,
3- Department of Agricultural Economics, Ferdowsi University of Mashhad, Mashhad, Iran
Abstract:   (1473 Views)
Background. Several studies have been conducted on the valuation of the intangible assets of organizations not relating to sport. However, there is no comprehensive study in the sport organizations especially in Iran. It is not clear what criteria are required at different levels by the sport organizations especially volleyball clubs to evaluate their intangible assets.
Objectives. In spite of the increasing importance of the intangible assets in various industries, little has been done on the identification of the underlying factors and valuation of this category of assets in sport industry. Therefore, the purpose of this study was to design an economic valuation model of the intangible assets of the volleyball clubs in Iran.
Methods. The sample of the present study in the qualitative section consisted of 47 subjects with 600 subjects participating in the quantitative section. Through application of Cochran formula, the sample size was estimated to be 234 subjects. The study was conducted in a survey method. To this end, first, the intangible assets of the Iranian volleyball clubs were identified using a qualitative method and then analyzed through structural equation modeling (SEM) PLS3 and SPSS22.
Results. The factors with the greatest effects on economic valuation of intangible assets of Iranian volleyball clubs were communication capital, spiritual capital, structural capital and human capital. Thus, it was found that in the economic valuation of intangible assets of Iranian volleyball clubs, the indices such as the relationship between investors and partners and their loyalty in communication capital had the highest value among other indices. Further, the club history and success had the same status in promoting spiritual capital, governing culture of the club, development outlook document of the club in the structural capital, management of contracts, and the number of national players in the club in human capital.
Conclusion. The results of the present study suggested that the proposed conceptual model can be applied by researchers, administrative and financial managers of volleyball clubs and the experts of the privatization organization to have a more comprehensive and precise evaluation of the valuation of intangible assets of a club.
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  • The Iranian volleyball federation obliges the professional leagues of volleyball clubs to evaluate their intangible assets by setting forth the related regulations.
  • The research section of the volleyball league organization makes club managers familiar with the concepts of valuation and intangible assets by holding workshops.
  • Some investigations are done on the improvement and development of the intangible assets.
  • The proposed model be applied identification of the intangible assets of some unprofessional volleyball clubs and their results be compared with each other.
  • The proposed model be applied in Rial valuation and price of each section be specified. Eventually, declare the real price for the private section.

Type of Study: Original Article |
Received: 2018/10/14 | Accepted: 2018/12/14 | Published: 2019/06/10

1. Adams A, Armitage S. Mutuality for football clubs? Lessons from the financial sector. Studies in Economics and Finance. 2004;22(1):26-41. [DOI:10.1108/eb043381]
2. Asmild M, Paradi JC, Pastor JT. Centralized resource allocation BCC models. Omega. 2009;37(1):40-9. [DOI:10.1016/]
3. Johnson BK, Whitehead JC. Value of public goods from sports stadiums: The CVM approach. Contemporary Economic Policy. 2000;18(1):48-58. [DOI:10.1111/j.1465-7287.2000.tb00005.x]
4. Munasinghe M. Environmental economics and sustainable development: The World Bank; 1993. [DOI:10.1596/0-8213-2352-0]
5. Damodaran A. Investment valuation: Tools and techniques for determining the value of any asset: John Wiley & Sons; 2012.
6. Edvinsson L. Intellectual Capital: Realizing Your Company's True Value by Finding Its Hidden Brainpower: HarperCollins; 1997. 240 p. [PMCID]
7. Brooking A. Intellectual capital: core asset for the third millennium. 2nd ed. London: International Thomson Business Press; 1996. 204 p.
8. Roos G, Roos J. Measuring your company's intellectual performance. Long range planning. 1997;30(3):413-26. [DOI:10.1016/S0024-6301(97)00022-8]
9. Bontis N, Fitz-Enz J. Intellectual capital ROI: a causal map of human capital antecedents and consequents. Journal of Intellectual capital. 2002;3(3):223-47. [DOI:10.1108/14691930210435589]
10. Chen J, Zhu Z, Yuan Xie H. Measuring intellectual capital: a new model and empirical study. Journal of Intellectual capital. 2004;5(1):195-212. [DOI:10.1108/14691930410513003]
11. Jurczak J. Intellectual capital measurement methods. Economics and organization of enterprise. 2008;1(1):37-45. [DOI:10.2478/v10061-008-0005-y]
12. Lopes IT, Rodrigues AMG. Intangible Assets Identification and Valuation--a Theoretical Framework Approach to the Portuguese Airlines Companies. Electronic Journal of Knowledge Management. 2007;5(2).
13. Chen L. A mixed methods study investigating intangibles in the banking sector: University of Glasgow; 2012.
14. Wicker P, Hallmann K, Breuer C, Feiler S. The value of Olympic success and the intangible effects of sport events–a contingent valuation approach in Germany. European sport management quarterly. 2012;12(4):337-55. [DOI:10.1080/16184742.2012.693117]
15. Käpylä J, Kujansivu P, Lönnqvist A. National intellectual capital performance: a strategic approach. Journal of Intellectual Capital. 2012;13(3):343-62. [DOI:10.1108/14691931211248909]
16. Salonius H, Lönnqvist A. Exploring the policy relevance of national intellectual capital information. Journal of Intellectual Capital. 2012;13(3):331-42. [DOI:10.1108/14691931211248891]
17. pinar Gurel S, Dagli Ekmekci YA, Küçükkaplan İ. Measuring intellectual capital for football clubs: evidence from Turkish first division football league. Pamukkale Journal of Sport Sciences. 2013;4(1):36-47.
18. Zhang X-p, Shang R-h, Zhang X-y, editors. Managing Intangible Assets of Sports Celebrities in China. Proceedings of 20th International Conference on Industrial Engineering and Engineering Management; 2013: Springer. [DOI:10.1007/978-3-642-40072-8_84]
19. Tomé E, Naidenova I, Oskolkova M. Personal welfare and intellectual capital: the case of football coaches. Journal of Intellectual Capital. 2014;15(1):189-202. [DOI:10.1108/JIC-06-2013-0064]
20. Dimitropoulos PE, Koumanakos E. Intellectual capital and profitability in European football clubs. International Journal of Accounting, Auditing and Performance Evaluation. 2015;11(2):202-20. [DOI:10.1504/IJAAPE.2015.068862]
21. Ricci F, Scafarto V, Celenza D, Gilvari IS. Intellectual Capital and Business Performance in Professional Football Clubs: Evidence From a Longitudinal Analysis. Journal of Modern Accounting and Auditing. 2015;11(9):450-65.
22. Mačerinskienė I, Aleknavičiūtė R. Comparative evaluation of national intellectual capital measurement models. Business: Theory and Practice. 2015;16(1):1-14. [DOI:10.3846/btp.2015.548]
23. Shou Z-q, Liu P. Development and Utilization of Sports Intangible Assets in China under Sustainable Development Perspective. Open Cybernetics & Systemics Journal. 2015;9:3018-23. [DOI:10.2174/1874110X01509013018]
24. Gudaityte G, Jasinskas E, Balciunas M, Streimikiene D. Evaluation of the legacy of a sporting event: a case of EUROBASKET 2007-2013. Transformations in Business & Economics. 2016;15(2).
25. Baldini MA, Bronzetti G, Sicoli G. A Framework to Measure Intellectual Capital. Country Experiences in Economic Development, Management and Entrepreneurship: Springer; 2017. p. 527-37.
26. Lardo A, Dumay J, Trequattrini R, Russo G. Social media networks as drivers for intellectual capital disclosure: Evidence from professional football clubs. Journal of Intellectual Capital. 2017;18(1):63-80. [DOI:10.1108/JIC-09-2016-0093]
27. Bakhsha A, Afrazeh A, Esfahanipour A. Identifying the Variables of Intellectual Capital and Its Dimensions with the Approach of Structural Equations in the Educational Technology of Iran. EURASIA Journal of Mathematics, Science and Technology Education. 2018;14(5):1663-82. [DOI:10.29333/ejmste/85037]
28. Hulland J. Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic management journal. 1999;20(2):195-204.<195::AID-SMJ13>3.0.CO;2-7 [DOI:10.1002/(SICI)1097-0266(199902)20:23.0.CO;2-7]
29. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research. 1981:39-50. [DOI:10.1177/002224378101800104]
30. Chin WW. The partial least squares approach to structural equation modeling. Modern methods for business research. 1998;295(2):295-336.
31. Tenenhaus M, Vinzi VE, Chatelin Y-M, Lauro C. PLS path modeling. Computational statistics & data analysis. 2005;48(1):159-205. [DOI:10.1016/j.csda.2004.03.005]

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