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The Role of Artificial Intelligence in Influencer Marketing

Author

Listed:
  • Dr. Muhammad Waqas Rana

    (Assistant Professor, Department of Business Administration, Iqra University, Karachi, Pakistan)

  • Mohammad Shahnawaz Ashfaq

    (Independent Researcher, Karachi, Pakistan)

  • Dr. Faizah Yasir Jalbani

    (Adjunct Faculty, Faculty of Management Sciences, SZABIST, Karachi, Pakistan)

Abstract

Nowadays Influencer marketing is one of the most growing industry. Social media influencers are increasing with time and brands are moving towards endorsing themselves on digital platforms. AI is the new element for growing of influencer marketing and it will help influencers to improve their digital platforms. AI will be impacting positively with the help of the new ways to manage the campaigns of influencers or celebrities on social platforms. The new virtual social presence has made consumers interested in the virtual influencers which will also affect the perceived quality of products used by these influencers. The study is quantitative and data collected is on convenience sampling in non-probability. The instrument used to collect data was through questionnaire. The findings of the research showed positive impact of Artificial intelligence on Influencer marketing. All the independent variables celebrity endorsements, perceived quality and virtual social presence with the mediator Artificial intelligence showed positive relation with influencer marketing. The result was analyzed and processed through SPSS. This research will help influencers to use AI for effectiveness and to know about emerging AI influencers.

Suggested Citation

  • Dr. Muhammad Waqas Rana & Mohammad Shahnawaz Ashfaq & Dr. Faizah Yasir Jalbani, 2024. "The Role of Artificial Intelligence in Influencer Marketing," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(3), pages 1-13.
  • Handle: RePEc:rfh:bbejor:v:13:y:2024:i:3:p:1-13
    DOI: https://doi.org/10.61506/01.00431
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    References listed on IDEAS

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    1. Shanahan, Tyler & Tran, Trang P. & Taylor, Erik C., 2019. "Getting to know you: Social media personalization as a means of enhancing brand loyalty and perceived quality," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 57-65.
    2. Rosenthal, Benjamin & Brito, Eliane P.Z., 2017. "How virtual brand community traces may increase fan engagement in brand pages," Business Horizons, Elsevier, vol. 60(3), pages 375-384.
    3. Vlačić, Božidar & Corbo, Leonardo & Costa e Silva, Susana & Dabić, Marina, 2021. "The evolving role of artificial intelligence in marketing: A review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 187-203.
    4. De Bruyn, Arnaud & Viswanathan, Vijay & Beh, Yean Shan & Brock, Jürgen Kai-Uwe & von Wangenheim, Florian, 2020. "Artificial Intelligence and Marketing: Pitfalls and Opportunities," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 91-105.
    5. Belanche, Daniel & Casaló, Luis V. & Flavián, Marta & Ibáñez-Sánchez, Sergio, 2021. "Understanding influencer marketing: The role of congruence between influencers, products and consumers," Journal of Business Research, Elsevier, vol. 132(C), pages 186-195.
    6. Ming-Hui Huang & Roland T. Rust, 2021. "A strategic framework for artificial intelligence in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 30-50, January.
    7. Neil A. Morgan & Kimberly A. Whitler & Hui Feng & Simos Chari, 2019. "Research in marketing strategy," Journal of the Academy of Marketing Science, Springer, vol. 47(1), pages 4-29, January.
    8. Calvo-Porral, Cristina & Lévy-Mangin , Jean-Pierre, 2017. "Store Brands’ Purchase Intention: Examining The Role Of Perceived Quality," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 23(2), pages 90-95.
    9. Lindsey-Mullikin, Joan & Borin, Norm, 2017. "Why strategy is key for successful social media sales," Business Horizons, Elsevier, vol. 60(4), pages 473-482.
    10. Campbell, Colin & Farrell, Justine Rapp, 2020. "More than meets the eye: The functional components underlying influencer marketing," Business Horizons, Elsevier, vol. 63(4), pages 469-479.
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