A MODEL OF SPORTS MARKETING MANAGEMENT OF BEVERAGE INDUSTRY ENTREPRENEURS IN SPORTS SPONSORSHIP UNDER COVID-19 CRISIS
Keywords:Sport Marketing Management, Covid-19 Crisis, Beverage Industry
The research was aimed at studying developing and checking validity of for indicators sports marketing management of beverage industry entrepreneurs in sports sponsorship under Covid-19 crisis. The questionnaire was constructed as a research tool to collect data on a total of 1,069 beverages, with an actual sample size of 540 beverage industry entrepreneurs in Thailand at the end of December 2020, from hierarchical probabilistic random sampling with stratified pattern and non-probabilistic convenience sampling. The research finding indicated that the model of sports marketing management of beverage industry entrepreneurs in sports sponsorship under Covid-19 crisis was developed with empirical data, consisting of 27 indicators in 9 factor components as factor 1: sponsorship support efficiency, factor 2: brand engagement, factor 3: brand image enhancement, factor 4: athlete, factor 5: fan club, factor 6: activity, factor 7: channel of communication, factor 8: convenience and factor 9: organization governing. Each factor had its convergent validity because the construct reliability was more than 0.60 and the factor loading was also over 0.30.
Antti, H. (2015). Using sport for corporate social responsibility (CSR) in Finland. Faculty of Sport and Health Sciences, Master’s Thesis in Social Sciences of Sport Spring, University of Jyväskylä, Finland.
Arbuckle. J. J. (1995). AMOS user’s guide. Chicago: Small Waters Corporation, 529.
Bernard, J. M., Stephen, H., & William A. S. (2014). Sport Marketing (4th ed.). United States: Human Kinetics, Inc.
Beyond Sports. (2014). Beyond sport awards 2014 shortlist. Retrieved from http://www.beyondsport.org/articles/beyond-sport-awards-2014-shortlist/
Bollen. K. A. (1989). Structure equations with latent variables. New York: John Wiley & Sons.
Brown, M. W., & Cudeek, R. (1993). Alliterative ways of assessing model fit. New Jersey: Sage Publication.
Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. New Jersey: Lawrence Erlbaum Associates.
Chanavat, N., Martinent, G., & Ferrand, A. (2010). Brand images causal relationships in a multiple sport event sponsorship context: Developing brand value through association with sponsees. European Sport Management Quarterly, 10(1), 49-74.
Cobbs, J. B., Jensen, J. A., & Tyler, B. D. (2021). The sponsorship performance cycle: Longitudinal evidence of sponsors’ contribution to Formula One team achievement. Journal of Business & Industrial Marketing. Retrieved from http://doi.org/10.1108/JBIM-06-2020-0299
Cochran, W. G. (1977). Sampling Techniques (3rd ed.). New York: John Wiley & Sons, 203.
Cornwell, T. B., & Kwon, Y. (2020). Sponsorship-linked marketing: research surpluses and shortages. Journal of the Academy of Marketing Science, 48(4), 607–629.
Cornwell, T. B., Lipp, O. V., & Purkis, H. (2016). Examination of affective responses to images in sponsorship-linked marketing. Journal of Global Sport Management, 1(3-4), 110-128.
Cronbach, L. J. (2003). Essential of psychology testing. New York: Hanpercollishes.
Department of Disease Control of Thailand. (2020). How to protect yourself and society from COVID-19. Retrieved from https://shorturl.asia/bFDR3 [in Thai]
Department of Industrial Works. (2021). Industrial factory account. Retrieved from https://www.diw.go.th/hawk/ content.php? mode=dataservice&tabid=1 [in Thai]
Duncan, J. H., & Dempesy, W. A. (2005). Comparing the current effects and carryover of national-sponser, region-sponser and local-sponser advertising. Journal of Advertising Research, 45(1), 60-72.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2010). Multivariate data analysis. New Jersey: Upper Saddle River, Prentice-Hall, 642.
Hakala, A. (2015). Using sport for corporate social responsibility (CSR) in Finland. Master’s Degree Programme in Sport Management and Health Promotion, University of Jyväskylä, Finland.
Hatcher, L. (1994). A step-by-step approach to using the SAS system for factor analysis and structural equation modeling. Cary, NC: SAS Institute, 331.
Hoogland, J. J. & Boomsma, A. (1998). Robustness studies in covariance structure modeling: An overview and a meta-analysis. Sociological Methods & Research, 26, 329-367.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55.
Kelloway, E. V. (1998). Using LISREL for structural equation modeling. New Jersey: Sage Publication, 45.
Kline, P. (1994). An easy guide to factor analysis. London & NY: Routledge, 28-41.
Kwanboonchan, R. (2008). Professional sports competition management standards. Bangkok: New Thaimit Printing Co., Ltd., 46-48. [in Thai]
Office of Small and Medium Enterprise Promotion. (2021). Report on the situation of small and medium enterprises January 2021. Economic Situation Analysis and Warning, Office of Small and Medium Enterprise Promotion. [in Thai]
Oliver, R. L. (2014). Satisfaction: A behavioral perspective on the consumer. New York: Routledge.
Piriyakul, M. (2010). Partial least square path modeling. Analysis statistics and applied statistics 11th annual proceeding 2010, C-2. [in Thai]
Pongkittiwiboon, S. (2007). Decisions on sponsorship of a business organization. Journal of Communication Arts, 25(2), 83-98. [in Thai]
Richard, L. I., William, A. S., & McCarthy, L. M. (2008). Sport promotion ad sales management. New York: Human Kinetic.
Silván, M. (1999). A model of adaptation to a distributed learning environment. Pro Gradu Thesis in Education, Department of Education, University of Jyväskylä, 42.
The Centre for the Covid-19 Situation Administration. (2020). Establishment of a special task force to perform duties in accordance with the emergency decree on public administration. Retrieved from https://shorturl.asia/87Mih [in Thai]
Tirakanan, S. (2007). Research methodology for social: Implementation guide. Bangkok: Chulalongkorn University Printing, 44-46. [in Thai]
Viratchai, N. (1995). The linear relationship (LISREL): Statistic for Social Science and Behavioral Sciences. Bangkok: Chulalongkorn University Printing, 32, 84. [in Thai]
Wakefield, L., Wakefield, K. L., & Keller, K. L. (2020). Understanding sponsorship: A consumer-centric model of sponsorship effects. Journal of Advertising, 49(4), 320-343.
Wanichbuncha, K. (2019). Advanced statistical analysis with SPSS for Windows (14th edition). Bangkok: Chulalongkorn University Printing, 75-78. [in Thai]
Wiedmann, K. P., Labenz, F., Haase, J., & Hennigs, N. (2018). The power of experiential marketing: Exploring the causal relationships among multisensory marketing, brand experience, customer perceived value and brand strength. Journal of Brand Management, 25, 101-118.
Yongpisanphob, W. (2019). Industry outlook 2019-2021: Beverage industry. Krungsri Research, 2-13. [in Thai]
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