Literature review on the relationship between Artificial Intelligence Technologies with Digital Sports Marketing and Sports Management
DOI:
https://doi.org/10.31949/ijsm.v2i2.2876Abstract
In recent years, artificial intelligence has shown its supremacy in various domains in a wide range of amusement games and has increased its utilization in the sports industry. The computer vision program used for matches provides a complete analysis of the matches that have happened, gathers and categorizes the data so that the coach or teams may make better strategic planning decisions, and displays the study results. They can make assessments that individuals ordinarily cannot do because of applications of artificial intelligence. The players' performance on their teams may be evaluated in this manner, allowing coaches to devise optimal game-play techniques for their respective squads. Analysis performed using artificial intelligence is also applied in the sporting arena, namely in motorsports racing. Follow-up on fouls committed is accomplished with artificial intelligence, and a chance to get an advantage over one's rivals in terms of strategy is investigated and pursued. The advent of new digital technologies has brought about a revolution in sports marketing, as in every other industry. It has led to the development of digital sports marketing. In this study, an examination employing artificial intelligence and digital technology was carried out, with the primary emphasis on digital sports management and digital sports marketing studies. There has been an investigation into the potential for many technologies, including artificial intelligence, artificial neural networks, the metaverse, virtual reality, and augmented reality, to be used in competitive sports.
Keywords:
artificial intelligence, digital marketing, artificial neural networks, metaverse, digital sports marketingDownloads
References
Bartlett, R. (2006). Artificial intelligence in sports biomechanics: New dawn or false hope?. Journal of sports science & medicine, 5(4), 474.
Chu, W. C. C., Shih, C., Chou, W. Y., Ahamed, S. I., & Hsiung, P. A. (2019). Artificial intelligence of things in sports science: weight training as an example. Computer, 52(11), 52-61.
Claudino, J. G., Capanema, D. D. O., de Souza, T. V., Serrão, J. C., Machado Pereira, A. C., & Nassis, G. P. (2019). Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: a systematic review. Sports medicine-open, 5(1), 1-12.
Davenport, T. H. (2018). From analytics to artificial intelligence. Journal of Business Analytics, 1(2), 73-80.
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard business review, 96(1), 108-116.
Fok, W. W., Chan, L. C., & Chen, C. (2018, November). Artificial intelligence for sport actions and performance analysis using recurrent neural network (RNN) with long short-term memory (LSTM). In Proceedings of the 2018 4th international conference on robotics and artificial intelligence (pp. 40-44).
Gaffar, V., Ridwanudin, O., & Rudiani, Y. P. (2016). The role of digital marketing in sport tourism destination. Growth, 101(108.952), 99-882.
Hamet, P., & Tremblay, J. (2017). Artificial intelligence in medicine. Metabolism, 69, S36-S40.
Holland, C. P. (2015). Internet and social media strategy in sports marketing.
Joshua, J. (2017). Information Bodies: Computational Anxiety in Neal Stephenson's Snow Crash. Interdisciplinary Literary Studies, 19(1), 17-47.
Jovanovska, S. R. (2020). Sports Marketing-Products and Customers. Research in Physical Education, Sport & Health, 9(1).
Kakavas, G., Malliaropoulos, N., Pruna, R., & Maffulli, N. (2020). Artificial intelligence: a tool for sports trauma prediction. Injury, 51, S63-S65.
Kretschmann, R. (2012). Digital sport-management games and their contribution to prospective sport-managers’ competence development. Advances in Physical Education, 2(04), 179.
Li, R. T., Kling, S. R., Salata, M. J., Cupp, S. A., Sheehan, J., & Voos, J. E. (2016). Wearable performance devices in sports medicine. Sports health, 8(1), 74-78.
Mamo, Y., Su, Y., & Andrew, D. P. (2021). The transformative impact of big data applications in sport marketing: current and future directions. International Journal of Sports Marketing and Sponsorship.
McCarthy, J. (2004). What is artificial intelligence. URL: http://www-formal. stanford. edu/jmc/whatisai. html.
McCullagh, J., & Whitfort, T. (2013). An investigation into the application of Artificial Neural Networks to the prediction of injuries in sport. International Journal of Sport and Health Sciences, 7(7), 356-360.
Mohammadkazemi, R. (2015). Sports marketing and social media. In Handbook of research on integrating social media into strategic marketing (pp. 340-358). IGI Global.
Nalbant, K. G. (2021a). The applications and position of artificial intelligence in health and medicine: a short review. Journal of Management and Science, 11(4),4954.http://jms.eleyon.org/index.php/jms/article/view/508.
Nalbant, K. G. (2021b). The importance of artificial intelligence in education: a short review. Journal of Review in science and engineering, 2021, 1-15.
Nalbant, K. G., & Uyanik, Ş. (2021). Computer vision in the metaverse. Journal of Metaverse, 1(1), 9-12.
Nalbant, K. G., & Uyanik, Ş. (2022) A Look At The New Humanity: Metaverse and Metahuman. International Journal of Computers, 7, 7-13.
Naraine, M. L., & Wanless, L. (2020). Going all in on AI: Examining the value proposition of and integration challenges with one branch of artificial intelligence in sport management. Sports Innovation Journal, 1, 49-61.
Powell, D., Stuart, S., & Godfrey, A. (2021). Sports related concussion: an emerging era in digital sports technology. NPJ digital medicine, 4(1), 1-8.
Rajšp, A., & Fister, I. (2020). A systematic literature review of intelligent data analysis methods for smart sport training. Applied Sciences, 10(9), 3013.
Ráthonyi, G., Müller, A., & Rathonyi-Odor, K. (2018). How digital technologies are changing sport?. APSTRACT: Applied Studies in Agribusiness and Commerce, 12(1033-2019-3296), 89-96.
Ratiu, O. G., Badau, D., Carstea, C. G., Badau, A., & Paraschiv, F. (2010, February). Artificial intelligence (AI) in sports. In Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases (pp. 93-97).
Ratten, V., & Thompson, A. J. (2021). Digital sport marketing. In Developing Digital Marketing (pp. 75-86). Emerald Publishing Limited.
Tanaka, Y. (2018). Fujitsu’s technologies and solutions contributing to development of sports. Fujitsu Scientific & Technical Journal, 54(4), 2-7.
Van Eetvelde, H., Mendonça, L. D., Ley, C., Seil, R., & Tischer, T. (2021). Machine learning methods in sport injury prediction and prevention: a systematic review. Journal of experimental orthopaedics, 8(1), 1-15.
Van Hilvoorde, I. (2016). Sport and play in a digital world. Sport, Ethics and Philosophy, 10(1), 1-4.
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