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Frontiers in Sport Research, 2021, 3(1); doi: 10.25236/FSR.2021.030104.

Prevention and Resolution of Hidden Market Behaviors in Sports Events

Author(s)

Xiaolei Cheng

Corresponding Author:
Xiaolei Cheng
Affiliation(s)

College of Profession Tennis, Wuhan City Polytechnic, Wuhan 430064 China

Abstract

The phenomenon of sponsorship of sports events has become a hot topic in the sports field. The exclusiveness and high risk of its sponsorship have caused the hidden market behavior of sports events to emerge one after another, seriously threatening the rights and interests of sponsors and other stakeholders. It can be regulated and governed in order to more effectively regulate and govern the implicit market behavior of sports events and clarify the value composition of sports events on which the implicit market behavior depends. This research uses the literature data method and logical analysis method to analyze specific cases and finds that the event value on which implicit market behavior depends is the value of the sports event itself, the driving or promotion value of the sports event, and the social evaluation value of the sports event. This divides the types of hidden market behavior into event element type, media resource type, and sponsorship competition type, and then proposes prevention and resolution strategies. 

Keywords

sports events, hidden market behavior, sponsorship

Cite This Paper

Xiaolei Cheng. Prevention and Resolution of Hidden Market Behaviors in Sports Events. Frontiers in Sport Research (2021) Vol. 3 Issue 1: 15-19. https://doi.org/10.25236/FSR.2021.030104.

References

[1] Yu Arong. Research on the impact of large-scale sports events on urban cultural soft power [J]. Sports Culture Guide, 2017 (12): 8-12.

[2] Tong Jianhong. Path selection of urban sports development from the perspective of cultural creativity[J]. Sports Science and Technology, 2016 (1): 96-97.

[3] Mahdiraji H A ,Zavadskas E K , Kazeminia A , et al. Marketing strategies evaluation based on big data analysis: a CLUSTERING-MCDM approach[J]. EkonomskaIstraivanja / Economic Research, 2019, 32(1):2882-2898.

[4] Ganesh A , Vijiyakumar K , Premkumar K , et al. TO IMPROVE THE ACCURACY IN IDENTIFYING BREAST CANCER USING VARIOUS TECHNIQUES OF BIG DATA ANALYSIS[J]. International Journal of Advanced Research, 2019, 7(10):491-498.

[5] AbdelazizA ,Ghany K K A , Soliman T H A , et al. A parallel multi-objective swarm intelligence framework for Big Data analysis[J]. International Journal of Computer Applications in Technology, 2020, 60(3):200-212.

[6] Naess H E . Investment Ethics and the Global Economy of Sports: The Norwegian Oil Fund, Formula1 and the 2014 Russian Grand Prix[J]. Journal of Business Ethics, 2019, 158(2):535-546.

[7] Kim S H ,Jeong E J . A Study on The Economic Impacts of Sports Activities Expenditure[J]. Korean Journal of Sport Management, 2017, 22(5):1-13.

[8] GvercnA . The Factors That Affect the Development of Sports Industry as an Economy[J]. International journal of ence Culture and Sport, 2016, 4(18):515-515.

[9] Cumming D , Johan S . Venture's economic impact in Australia[J]. The Journal of Technology Transfer, 2016, 41(1):25-59.

[10] Priyeshkumar T S ,Devaka D . A Scalable and Highly Available Distributed Architecture for e-Governance Applications on Private Cloud Platform[J]. INTERNATIONAL JOURNAL OF COMPUTER ENCES AND ENGINEERING, 2019, 7(3):811-814.