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The Future of Marketing: The Transformative Power of Artificial Intelligence

Year 2024, , 1 - 19, 29.02.2024
https://doi.org/10.29064/ijma.1412272

Abstract

This research offers a rich narrative explaining this multifaceted relationship by exploring the transformative impact of Artificial Intelligence (AI) on marketing by adopting a qualitative descriptive approach for in-depth exploration. The findings reveal profound implications for customer engagement, market strategy, and ethical considerations. The multifaceted integration of AI into marketing enables customer personalization and increases brand loyalty. Predictive analytics enable businesses to develop proactive strategies aligned with future market dynamics. Despite its advantages, ethical considerations surrounding data privacy and consumer consent require AI to be used responsibly and transparently. Integrated augmented reality, virtual reality, predictive customer journeys, and the Internet of Things that transform marketing dynamics must be harnessed to balance ethical concerns. A comprehensive resource for academic researchers and industry professionals, this work provides a clear roadmap for organizations to effectively leverage AI in their marketing operations in an environment of increasing reliance on digital platforms and expanding data availability.

References

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The Future of Marketing: The Transformative Power of Artificial Intelligence

Year 2024, , 1 - 19, 29.02.2024
https://doi.org/10.29064/ijma.1412272

Abstract

This research offers a rich narrative explaining this multifaceted relationship by exploring the transformative impact of Artificial Intelligence (AI) on marketing by adopting a qualitative descriptive approach for in-depth exploration. The findings reveal profound implications for customer engagement, market strategy, and ethical considerations. The multifaceted integration of AI into marketing enables customer personalization and increases brand loyalty. Predictive analytics enable businesses to develop proactive strategies aligned with future market dynamics. Despite its advantages, ethical considerations surrounding data privacy and consumer consent require AI to be used responsibly and transparently. Integrated augmented reality, virtual reality, predictive customer journeys, and the Internet of Things that transform marketing dynamics must be harnessed to balance ethical concerns. A comprehensive resource for academic researchers and industry professionals, this work provides a clear roadmap for organizations to effectively leverage AI in their marketing operations in an environment of increasing reliance on digital platforms and expanding data availability.

References

  • Abakouy, R., Ennaimi, E. M., Haddadi, A. E., & Lotfi, E. (2019). Data-driven marketing: How machine learning will improve decision-making for marketers. Proceedings of the 4th International Conference on Smart City Applications, 1–5. https://doi.org/10.1145/3368756.3369024
  • Agarwal, S., Agarwal, B., & Gupta, R. (2022). Chatbots and virtual assistants: A bibliometric analysis. Library Hi Tech, 40(4), 1013–1030. https://doi.org/10.1108/LHT-09-2021-0330
  • Agrawal, A. K., Gans, J., & Goldfarb, A. (2019). The Economics of Artificial Intelligence: An Agenda. 439–462.
  • Ahmed, A. A. A., Agarwal, S., Kurniawan, Im. G. A., Anantadjaya, S. P. D., & Krishnan, C. (2022). Business boosting through sentiment analysis using the Artificial Intelligence approach. International Journal of System Assurance Engineering and Management, 13(1), 699–709. https://doi.org/10.1007/s13198-021-01594-x
  • Alawneh, Y. J., Al-Momani, T., Salman, F. N., Al-Ahmad, S. D., Kaddumi, T. A., & Al-Dlalah, M. (2023). A Detailed study analysis of artificial intelligence implementation in social media applications. 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 1191–1194. https://doi.org/10.1109/ICACITE57410.2023.10182840
  • Alzahrani, H. (2016). Artificial intelligence and customer communication. Global Journal of Computer Science and Technology, 16(1).
  • Ameen, N., Tarhini, A., Reppel, A., & Anand, A. (2021). Customer experiences in the age of artificial intelligence. Computers in Human Behavior, 114, 106548. https://doi.org/10.1016/j.chb.2020.106548
  • Araújo, T., & Casais, B. (2020). Customer acceptance of shopping-assistant chatbots. In Á. Rocha, J. L. Reis, M. K. Peter, & Z. Bogdanović (Eds.), Marketing and Smart Technologies (pp. 278–287). Springer. https://doi.org/10.1007/978-981-15-1564-4_26
  • Ayanouz, S., Abdelhakim, B. A., & Benhmed, M. (2020). A smart chatbot architecture based NLP and machine learning for health care assistance. Proceedings of the 3rd International Conference on Networking, Information Systems & Security, 1–6. https://doi.org/10.1145/3386723.3387897
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There are 93 citations in total.

Details

Primary Language English
Subjects Business Administration, Marketing (Other)
Journal Section Research Article
Authors

Hafize Nurgül Durmuş Şenyapar 0000-0003-0927-1643

Early Pub Date February 28, 2024
Publication Date February 29, 2024
Submission Date December 30, 2023
Acceptance Date February 18, 2024
Published in Issue Year 2024

Cite

APA Durmuş Şenyapar, H. N. (2024). The Future of Marketing: The Transformative Power of Artificial Intelligence. International Journal of Management and Administration, 8(15), 1-19. https://doi.org/10.29064/ijma.1412272