Challenges and Drivers of AI-based Electronic Marketing in the Sports Industry

Document Type : Original Article

Authors

1 Assistant Professor in the Department of Sports Management, Shahid Rajaee Teacher Training University, Tehran

2 Shahid Rajaee Teacher Training University, Tehran

3 Associate Professor in the Department of Sports Management, Shahid Rajaee Teacher Training University, Tehran

Abstract

This study aimed to identify the challenges and drivers of AI-based electronic marketing in the sports industry of Iran. The research employed a qualitative approach with thematic analysis. The research population consisted of academic and organizational experts in the sports industry. Sampling was conducted using purposive (judgmental) and snowball methods, and interviews continued until theoretical saturation reached at the twelfth interview. To validate the research, the triangulation of data sources, peer review, and participant review method was utilized. Additionally, to check reliability, inter-coder reliability and test-retest reliability were employed. Data analysis was performed using MAXQDA2020 software in three stages of coding (instance, main theme, sub-theme). The results indicated that the challenges of AI-based electronic marketing in the Iranian sports industry include "service quality assurance, customer rights enforcement, security and privacy protection, inadequate employee knowledge and skills, lack of appropriate statutes and regulations, incorrect audience recognition and needs assessment, lack of focus on disruptive technologies, improper use of AI, increased internet consumption for unsolicited advertisements." The drivers encompass "providing low-interest loans, training and skill development, utilizing digital technologies, applying marketing mix, knowledgeable and informed management, holding briefing sessions, customer communication channels, research development, information dissemination and advertising, standard formulation, governmental support, smart technology development and application, investment, motivation and hope for progress, tax exemptions, culture building, business coaching, academic education, infrastructure and equipment, and branding.

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Abedi, R., & Mohammadzadeh Vanestan, S. (2024). Investigating the role of artificial intelligence enablers and companies' readiness in adopting an artificial intelligence-integrated customer relationship management system. Journal of Business Management, 16(1), 34-58.
Bai, X., & Li, J. (2021). Applied research of knowledge in the field of artificial intelligence in the intelligent retrieval of teaching resources. Scientific Programming, 2021(1), 9924435.
Bashokouh Ajirlo, M., & Mohammad Khani, R. (2023). Designing a B2B digital marketing implementation model with an emphasis on artificial intelligence-based customer relationship management. New Marketing Research Journal, 13(3), 133-158.
Byon, K. K., & Phua, J. (2021). Digital and interactive marketing communications in sports. In (Vol. 21, pp. 75-78): Taylor & Francis.
Chen, K.-C., Gursoy, D., & Lau, K. L. K. (2018). Longitudinal impacts of a recurring sport event on local residents with different level of event involvement. Tourism Management Perspectives, 28, 228-238.
Coyle, E. F. (2000). Physical activity as a metabolic stressor. The American journal of clinical nutrition, 72(2), 512S-520S.
Evans, Z. C. T., Gee, S., & Eddy, T. (2022). Building bridges: Connecting sport marketing and critical social science research. Frontiers in Sports and Active Living, 4, 970445.
Fowler, S., Bhatt, J., Brown, S., Fleming, L., Mayell, S., Sinha, I., & Bush, A. (2022). E-cigarette company tactics in sports advertising. The Lancet Respiratory Medicine, 10(7), 634-636.
Gallivan, M. J. (2001). Organizational adoption and assimilation of complex technological innovations: development and application of a new framework. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 32(3), 51-85.
Gibbs, G. (1988). Learning by doing: A guide to teaching and learning methods. Further Education Unit.
Hradecky, D., Kennell, J., Cai, W., & Davidson, R. (2022). Organizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe. International journal of information management, 65, 102497.
Huang, X., & Ding, W. (2021). A comparison on the development mode of traditional and emerging cultural innovation-a case analysis of electronic sports-league of legends. Advances in Physical, Social & Occupational Ergonomics: Proceedings of the AHFE 2021 Virtual Conferences on Physical Ergonomics and Human Factors, Social & Occupational Ergonomics, and Cross-Cultural Decision Making, July 25-29, 2021, USA.
Jabbari, Z., Kashef, S. M., & Keshkar, S. (2020). Developing a model for the relationship between cultural factors and customer attraction in electronic marketing of the sports industry. Sport Science, 13(1), 43-49.
Jw, C. (1998). Qualitative inquiry and research design. Choosing Among Five Traditions.
Karimian, S., Askari, A., Fallah, Z., & Bahlekeh, T. (2022). Sport digital economy development strategies in Iran. Sport Management Journal, 14(3), 227-217.
Karimkhani, M., Jahangirfard, M., & Amani, V. J. (2017). Examining the impact of effective internal organizational factors on human resource planning-a case study in Halco Co. International Journal of Scientific Management & Development, 5(2).
Lv, J., Jiang, X., & Ang, J. (2022). Application of virtual reality technology based on artificial intelligence in sports skill training. Wireless Communications & Mobile Computing (Online), 2022.
Mastromartino, B., Wang, J. J., Suggs, D. W., Hollenbeck, C. R., & Zhang, J. J. (2022). Dimensions of sense of membership in a sport fan community: Factors, outcomes, and social capital implications. Communication & Sport, 10(6), 1229-1256.
Nadikattu, R. R. (2020). Implementation of new ways of artificial intelligence in sports. Journal of Xidian University, 14(5), 5983-5997.
Pu, Z., Pan, Y., Wang, S., Liu, B., Chen, M., Ma, H., & Cui, Y. (2024). Orientation and decision-making for soccer based on sports analytics and AI: A systematic review. IEEE/CAA Journal of Automatica Sinica, 11(1), 37-57.
Ramkumar, P. N., Luu, B. C., Haeberle, H. S., Karnuta, J. M., Nwachukwu, B. U., & Williams, R. J. (2022). Sports medicine and artificial intelligence: a primer. The American Journal of Sports Medicine, 50(4), 1166-1174.
Reihani, M., Darvishi, A., & Sarhamami, K. P. (2022). Design a paradigm pattern of sport businesses resilience based on grounded theory. Sport Management Journal, 14(2), 182-164.
Saatchian, V., Seyyedi, Z., Ghahfarokhi, A. D., & Azizi, B. (2022). Identifying the effective indicators on service pricing in fitness and aerobic sports clubs. Customer management, 3(1.40), 0.16.
Sabharwal, D., Sood, R., & Verma, M. (2022). Studying the relationship between artificial intelligence and digital advertising in marketing strategy. Journal of Content, Community and Communication, 16(8), 118-126.
Santos, T. O., Correia, A., Biscaia, R., & Pegoraro, A. (2019). Examining fan engagement through social networking sites. International Journal of Sports Marketing and Sponsorship, 20(1), 163-183.
Sarlab, R., Alipour Nadinluoi, Z., & Mahmoudi, N. (2022). Study on the marketing mix of the iranian football industry. Sports Business Journal, 2(1), 13-25.
Sarlab, R., Heidariani, L. G., & Sarlab, M. (2022). Economic factors affecting on the sports trade openness in Mena member countries. Sport Management Journal, 14(2), 163-151.
Sepasgozar, S. M., Costin, A. M., Karimi, R., Shirowzhan, S., Abbasian, E., & Li, J. (2022). BIM and digital tools for state-of-the-art construction cost management. Buildings, 12(4), 396.
Tabatabaei, S. V. A., Ardabili, H. E., Haghdoost, A. A., Nakhaee, N., & Shams, M. (2017). Promoting physical activity in Iranian women: a qualitative study using social marketing. Electronic physician, 9(9), 5279.
Taheri, S., Andrade, J. C. d., & Conte-Junior, C. A. (2024). Emerging perspectives on analytical techniques and machine learning for food metabolomics in the era of industry 4.0: a systematic review. Critical Reviews in Food Science and Nutrition, 1-27.
Wang, W., & Siau, K. (2019). Artificial intelligence, machine learning, automation, robotics, future of work and future of humanity: A review and research agenda. Journal of Database Management (JDM), 30(1), 61-79.