نویسندگان | Sajjad Pashaie, Hamed Golmohammadi, Elmira Zakhirani |
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نشریه | International Journal of Innovation in Management, Economics and Social Sciences (IJIMES) |
نوع مقاله | Original Research |
تاریخ انتشار | 1403/11/20 |
رتبه نشریه | علمی - پژوهشی |
نوع نشریه | الکترونیکی |
کشور محل چاپ | ایران |
نمایه نشریه | ISCQ1-MSRTQ1 |
چکیده مقاله
Purpose: In today’s digital age, customers are inundated with a multitude of sports marketing messages, prompting businesses to adopt data-driven marketing strategies to minimize dissatisfaction and engage customers on a deeper level. At the core of these strategies lies personalization, a powerful technique that enables sports marketers to tailor their messages and offers according to individual preferences. This study investigates the influence of AI on enhancing personalization and improving customer engagement in this domain.
Methodology: Data was gathered using a questionnaire created by the researcher. This was done through simple random sampling from 210 people who are interested in digital sports and digital sports marketing. The research employed a quantitative approach and structural equation modeling (SEM). The model was developed using Smart PLS TM3 software and evaluated in two sections: measurement and structural model.
Findings: The results indicated a good fit for the model, with a reported GoF index of 0.44, demonstrating substantial validation power. Findings from 210 respondents revealed that AI technologies can to enhance personalization and customer interaction in digital sports marketing. However, challenges such as privacy concerns and dissatisfaction with non-human interactions need to be managed in this process
Originality/value: By emphasizing the integration of AI in digital sports marketing, this research contributes to the literature and provides a robust framework for future studies. As the sports industry increasingly embraces digital transformation, understanding the role of AI in shaping consumer experiences becomes crucial. This study not only addresses the current gaps in research but also highlights the potential of AI to redefine marketing strategies in a competitive landscape.