The Impact of Artificial Intelligence on Sports Marketing: Applications and Limitations

Document Type : Original Article

Authors

1 Assistant Professor, Department of Sports Management, Payam Noor University, Tehran, Iran.

2 Department of Physical Education, Faculty of Medicine and Neuroscience Research Center, Kerman University of Medical Sciences, Iran.

Abstract

The current study was conducted to identify the impact of artificial intelligence on sports marketing (applications and limitations). This research is a sequential mixed-methods study (qualitative-quantitative). The participants in qualitative phase consisted of 15 sport management experts who were interviewed. In the quantitative section, the statistical population included members of the sports management academic community that was selected through random sampling approach. Kolmogorov-Smirnov test, confirmatory factor analysis, and path analysis were used in the quantitative part of the study. The structural equation method with partial least squares method was used to measure the validity of the model, and the research hypotheses. According to the results of the study, there are 8 effective factors of artificial intelligence applications in sports marketing, including predicting sales and prices of sports products/services, identifying revenue growth opportunities, automating sales processes of sports products/services, personalized recommendation systems through analyzing customer behavior of sports products/services, tracking satisfaction with sports products/services, and advertising. Additionally, there are 5 factors identified as limitations of artificial intelligence in sports marketing, including limited understanding of human elements, concerns about data privacy, costs, and technical issues. The findings can help sports marketers to better utilize artificial intelligence for better delivery and customer satisfaction of sports products and services.

Keywords

Main Subjects

References

Arsenijevic, U., & Jovic, M. (2019). Artificial intelligence marketing: chatbots. Paper presented at the 2019 international conference on artificial intelligence: applications and innovations (IC-AIAI).
Capatina, A., Kachour, M., Lichy, J., Micu, A., Micu, A.-E., & Codignola, F. (2020). Matching the future capabilities of an artificial intelligence-based software for social media marketing with potential users’ expectations. Technological Forecasting and Social Change, 151, 119794.
Chintalapati, S., & Pandey, S. K. (2022). Artificial intelligence in marketing: A systematic literature review. International Journal of Market Research, 64(1), 38-68.
Devang, V., Chintan, S., Gunjan, T., & Krupa, R. (2019). Applications of artificial intelligence in marketing. Annals of Dunarea de Jos University of Galati. Fascicle I. Economics and Applied Informatics, 25(1), 28-36.
Dimitrieska, S., Stankovska, A., & Efremova, T. (2018). Artificial intelligence and marketing. Entrepreneurship, 6(2), 298-304.
Dingus, R., & Black, H. G. (2021). Choose your words carefully: An exercise to introduce artificial intelligence to the marketing classroom using tone analysis. Marketing Education Review, 31(2), 64-69.
Dumitriu, D., & Popescu, M. A.-M. (2020). Artificial intelligence solutions for digital marketing. Procedia Manufacturing, 46, 630-636.
Elhajjar, S., Karam, S., & Borna, S. (2021). Artificial intelligence in marketing education programs. Marketing Education Review, 31(1), 2-13.
Frank, B. (2021). Artificial intelligence-enabled environmental sustainability of products: Marketing benefits and their variation by consumer, location, and product types. Journal of Cleaner Production, 285, 125242.
Grandinetti, R. (2020). How artificial intelligence can change the core of marketing theory. Innovative marketing, 16(2), 91-103.
Haleem, A., Javaid, M., Qadri, M. A., Singh, R. P., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks.
Hamdan, A., Hassanien, A. E., Khamis, R., Alareeni, B., Razzaque, A., & Awwad, B. (2021). Applications of artificial intelligence in business, education and healthcare: Springer.
Hermann, E. (2022). Leveraging artificial intelligence in marketing for social good—An ethical perspective. Journal of Business Ethics, 179(1), 43-61.
Javaid, M., & Haleem, A. (2020). Critical components of Industry 5.0 towards a successful adoption in the field of manufacturing. Journal of Industrial Integration and Management, 5(03), 327-348.
Jo, J.-W. (2020). Case Studies for Insurance Service Marketing Using Artificial Intelligence (AI) in the InsurTech Industry. Journal of Digital Convergence, 18(10), 175-180.
Lai, Z., & Yu, L. (2021). Research on digital marketing communication talent cultivation in the era of artificial intelligence. Paper presented at the Journal of Physics: Conference Series.
Marinchak, C. M., Forrest, E., & Hoanca, B. (2018). Artificial intelligence: Redefining marketing management and the customer experience. International Journal of E-Entrepreneurship and Innovation (IJEEI), 8(2), 14-24.
Mikalef, P., Conboy, K., & Krogstie, J. (2021). Artificial intelligence as an enabler of B2B marketing: A dynamic capabilities micro-foundations approach. Industrial Marketing Management, 98, 80-92.
Mitić, V. (2019). Benefits of artificial intelligence and machine learning in marketing. Paper presented at the Sinteza 2019-International scientific conference on information technology and data related research.
Nalini, M., Radhakrishnan, D. P., Yogi, G., Santhiya, S., & Harivardhini, V. (2021). Impact of artificial intelligence (AI) on marketing. Int. J. of Aquatic Science, 12(2), 3159-3167.
Pitt, C., Eriksson, T., Dabirian, A., & Vella, J. (2018). Elementary, my dear Watson: the use of artificial intelligence in marketing research: an abstract. Paper presented at the Boundary Blurred: A Seamless Customer Experience in Virtual and Real Spaces: Proceedings of the 2018 Academy of Marketing Science (AMS) Annual Conference 46.
Prentice, C., Dominique Lopes, S., & Wang, X. (2020). The impact of artificial intelligence and employee service quality on customer satisfaction and loyalty. Journal of Hospitality Marketing & Management, 29(7), 739-756.
Sestino, A., & De Mauro, A. (2022). Leveraging artificial intelligence in business: Implications, applications and methods. Technology Analysis & Strategic Management, 34(1), 16-29.
Shaily, S. A., & Emma, N. N. (2021). Integration of Artificial Intelligence Marketing to Get Brand Recognition for Social Business. International Review of Management and Marketing, 11(4), 29.
Siau, K. L., & Yang, Y. (2017). Impact of artificial intelligence, robotics, and machine learning on sales and marketing.
Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 100002.
Vladimirovich, K. M. (2020). Future marketing in B2B segment: Integrating Artificial Intelligence into sales management. International Journal of Innovative Technologies in Economy(4 (31)).
Xu, Z., Lv, Z., Li, J., Sun, H., & Sheng, Z. (2022). A novel perspective on travel demand prediction considering natural environmental and socioeconomic factors. IEEE Intelligent Transportation Systems Magazine, 15(1), 136-159.
Yang, B. (2005). Factor analysis methods. Research in organizations: Foundations and methods of inquiry(181-199).
Journal of New Studies in Sport Management
Volume 5, Issue 1
February 2024
Pages 1066-1080

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