Document Type : Research Paper

Authors

1 Ph.D. Student of Sport Management, Department of Physical Education and Sport Sciences, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran

2 Assistant Professor of Sport Management, Department of Spot Management and Media, Faculty of Sport Sciences and Health, Shahid Beheshti University, Tehran, Iran

3 Assistant Professor of Sport Management, Department of Sport Management, Payam-E- Norour University, Tehran, Iran

Abstract

Money laundering is one of the illegal acts that has negative effects on economy. This study aims to identify the factors which affect money laundering in Sport. The research was done using mixed methods. In the qualitative phase data was collected through in-depth interviews using snowball sampling technics. 17 experts were interviewed; then the data was coded and analyzed based on grounded theory via Emergent approach. A questionnaire was designed according to the data collected in the qualitative phase; after confirming its validity and reliability the questionnaire was given to the samples of the research. In this phase data was analyzed through SEM. The analysis of the data from the qualitative phase revealed that main categories are: Contextual factors (poisoning the economic atmosphere); Structural factors (unhealthy economic structure); Behavioral factors (unclear financial supervising). In quantitative phase, the conceptual model of path analysis was calculated using the goodness of fit index; according to this data the experimental-conceptual hypotheses were confirmed. According to the effectiveness of factors effecting the money laundering among which the economic atmosphere poisoning played the most important role, to prevent ML in Sport there must be clear supervising on financial affairs, healthy economic structure and development in economic atmosphere of financial channels.

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Main Subjects

  1. Albanese, J (Eds.). (2015). Transnational organized crime: an overview from six continents. SAGE publications. 211-51
  2. Alderfer, C. P. (1980). The methodology of organizational diagnosis. Professional Psychology, 11(3), 459-82.
  3. Andrew, D. P., & Pedersen, P. M. (2011). Research methods and design in sport management. Human Kinetics. 33-5.
  4. Arian, M. (2012). Analysis of legal system on money laundering in Iran. International Studies of Police Quarterly, 5(2), 21-55. )Persian).
  5. Brooks, G. (2012). Online gambling and money laundering: views from the inside. Journal of Money Laundering Control, 15(3), 304-15.
  6. Chadwick, S. (2014). Still to be fixed: Corruption posing new challenges for sport business researchers. Sport, Business and Management: An International Journal, 4(1), 43-9.
  7. Cody, K., & Jackson, S. (2016). The contested terrain of alcohol sponsorship of sport in New Zealand. International Review for the Sociology of Sport, 51(4), 375-93.
  8. Creswell, J. W., & Poth, C. N. (2010). Qualitative inquiry and research design: Choosing among five approaches. London: Sage Publications.
  9. FATF. (2009). Money laundering through the football sector. OECD Publishing. Available at: (https://www.fatf-gafi.org/ media/fatf/documents/ reports/ ML%20through%20the%20Football%20Sector.pdf).
  10. Filipkowski, W. (2008). Cyber laundering: An analysis of typology and techniques. International Journal of Criminal Justice Sciences, 3, 15-27.
  11. Frick, B. (2009). Globalization and factor mobility: The impact of the "Bosman Ruling" on player migration in professional soccer. Journal of Sports Economics, 10(1), 80-106.
  12. Frunza, C. M. (2016). The link between the betting industry and financial crime. Solving modern crime in financial markets.77-121.
  13. Glaser, B. G. (1992). Basics of grounded theory analysis: Emergence vs forcing. Sociology press.
  14. Hugel, P., & Kelly, J. (2003). Internet gambling, credit cards and money laundering. Journal of Money Laundering Control, 6(1), 57-65.
  15. Hwang, G. (2016). Understanding sport corruption: An examination of people’s perceptions toward corruptions. Psychology, 6(4), 250-7.
  16. James, R. R. (2007). Transnational organizations cyber-crime., Electronic banking system and money laundering: A handbook for law enforcement officers (12-9). Florida: CRS Press.
  17. Jayasree, V., & Siva Balan, R. V. (2017). Money laundering regulatory risk evaluation using bitmap index-based decision tree. Journal of the Association of Arab Universities for Basic and Applied Sciences, 23, 96-102.
  18. Johnson, G. (2006). Football and gangsters. Edinburgh: Mainstream Publishing.
  19. Kulczycki, W., & Koenigstorfer, J. (2016). Why sponsors should worry about corruption as a mega sport event syndrome. European Sport Management Quarterly, 16(5), 545-74.
  20. Mason, D. S., Thibault, L., & Misener, L. (2006). An agency theory perspective on corruption in sport: The case of the international Olympic committee. Journal of Sport Management, 20(1), 52-73.
  21. McCarthy, K. J., Santen, P. V., & Fiedler, I. (2015) Modeling the money launderer: Micro theoretical arguments on anti-money laundering policy. International Review of Law and Economics, 43, 148-55.
  22. Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw Hill.
  23. Roberts, S., Chadwick, S., & Anagnostopoulos, C. (2018). Sponsorship programmes and corruption in sport: Management responses to a growing threat. Journal of Strategic Marketing, 26(1), 19-36.
  24. Strauss, A., & Corbin, J. (1998). Basics of qualitative research techniques. London: Sage Publications.
  25. The Football Association. (2008). Money laundering and the proceeds of crime act: Guidance for football clubs. London: The football association, London.
  26. Vandezande, N. (2017). Virtual currencies under EU anti-money laundering law. Computer Law & Security Review, 33(3), 341-53.
  27. Yousefi Sadeqlo, A., & Daneshjo, A. (2015). Challenges and defecations to prevention money laundering in Iran`s law. Journal of Research on Criminal and Private Law, 12(3), 53-72. )Persian).