Vol. 13 No. 80 (2024)
Articles

Exploring the role of AI in shaping future marketing strategies: evaluations and outlooks

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  • Natalia Bobro,
  • Roman Hyshchuk,
  • Artur Strunhar,
  • Oleksandr Bukovskyi,
  • Vitalii Alekseiko
Natalia Bobro
European University, Zurich, Switzerland.
Bio
Roman Hyshchuk
State University of Trade and Economics, Chernivtsi, Ukraine.
Bio
Artur Strunhar
National Academy of Leadership in Culture and Arts, Kyiv, Ukraine.
Bio
Oleksandr Bukovskyi
Odesa Polytechnic National University, Odesa, Ukraine.
Bio
Vitalii Alekseiko
Khmelnytskyi National University, Khmelnytskyi, Ukraine.
Bio
DOI: https://doi.org/10.34069/AI/2024.80.08.4

Published 2024-08-30

Keywords

  • data analysis, decision-making, ethical aspects, personalization, privacy protection, technological innovations.

How to Cite

Bobro, N., Hyshchuk, R., Strunhar, A., Bukovskyi, O., & Alekseiko, V. (2024). Exploring the role of AI in shaping future marketing strategies: evaluations and outlooks. Amazonia Investiga, 13(80), 43–53. https://doi.org/10.34069/AI/2024.80.08.4

Copyright (c) 2024 Sayuri Monserrath Bonilla-Novillo, Ángela Cecibel Moreno-Novillo, Juan Carlos Quinchuela-Paucar, Javier Edmundo Albuja-Jácome, Diego Iván Santillán-Espinoza

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

In the contemporary era, the advent of artificial intelligence (AI) is precipitating profound shifts in numerous sectors, mainly marketing, where personalisation and decision-making are undergoing radical transformations due to novel technologies. This study aims to examine the opportunities and challenges associated with the integration of AI into marketing strategies. The research revealed AI's impact on personalising marketing content, enabling companies to foster more profound consumer interactions. The study then examined AI's role in decision-making, where using sophisticated analytical tools leads to more justified and effective strategies. The article's conclusions indicate that AI has the potential to enhance the effectiveness of marketing campaigns, mainly through the personalisation of consumer interactions and the optimisation of marketing operations. The research provides a framework for further scientific investigation in this field, focusing on developing effective regulations and standards that will enable the realisation of AI's potential in marketing while minimising the risk of adverse effects.

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References

  1. Ahmed, A. (2022). Marketing 4.0: The Unseen Potential of AI in Consumer Relations. International Journal of New Media Studies: International Peer Reviewed Scholarly Indexed Journal, 9(1), 5-12. https://acortar.link/gG1wvx
  2. Ameen, N., Sharma, G. D., Tarba, S., Rao, A., & Chopra, R. (2022). Toward advancing theory on creativity in marketing and artificial intelligence. Psychology & marketing, 39(9), 1802-1825. https://doi.org/10.1002/mar.21699
  3. Anoop, M. R. (2021). Artificial intelligence and marketing. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(4), 1247-1256. https://www.academia.edu/79061934/Artificial_Intelligence_and_Marketing
  4. Babatunde, S. O., Odejide, O. A., Edunjobi, T. E., & Ogundipe, D. O. (2024). The role of AI in marketing personalisation: A theoretical exploration of consumer engagement strategies. International Journal of Management & Entrepreneurship Research, 6(3), 936-949. https://doi.org/10.51594/ijmer.v6i3.964
  5. Chintalapati, S., & Pandey, S. K. (2022). Artificial intelligence in marketing: A systematic literature review. International Journal of Market Research, 64(1), 38-68. https://doi.org/10.1177/14707853211018428
  6. De Jong, A., De Ruyter, K., Keeling, D. I., Polyakova, A., & Ringberg, T. (2021). Key trends in business-to-business services marketing strategies: Developing a practice-based research agenda. Industrial Marketing Management, 93, 1-9. https://doi.org/10.1016/j.indmarman.2020.12.004
  7. De Mauro, A., Sestino, A., & Bacconi, A. (2022). Machine learning and artificial intelligence use in marketing: a general taxonomy. Italian Journal of Marketing, 2022(4), 439-457. https://doi.org/10.1007/s43039-022-00057-w
  8. Haleem, A., Javaid, M., Qadri, M. A., Singh, R. P., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3, 119-132. https://doi.org/10.1016/j.ijin.2022.08.005
  9. Han, R., Lam, H. K., Zhan, Y., Wang, Y., Dwivedi, Y. K., & Tan, K. H. (2021). Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions. Industrial Management & Data Systems, 121(12), 2467-2497. https://doi.org/10.1108/IMDS-05-2021-0300
  10. Hermann, E. (2022). Leveraging artificial intelligence in marketing for social good—An ethical perspective. Journal of Business Ethics, 179(1), 43-61. https://doi.org/10.1007/s10551-021-04843-y
  11. Hoffman, D. L., Moreau, C. P., Stremersch, S., & Wedel, M. (2022). The rise of new technologies in marketing: A framework and outlook. Journal of Marketing, 86(1), 1-6. https://doi.org/10.1177/00222429211061636
  12. Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49, 30-50. https://doi.org/10.1007/s11747-020-00749-9
  13. Kasem, M. S., Hamada, M., & Taj-Eddin, I. (2024). Customer profiling, segmentation, and sales prediction using AI in direct marketing. Neural Computing and Applications, 36(9), 4995-5005. https://doi.org/10.48550/arXiv.2302.01786
  14. Kaur, R., Singh, R., Gehlot, A., Priyadarshi, N., & Twala, B. (2022). Marketing strategies 4.0: recent trends and technologies in marketing. Sustainability, 14(24), 16356. https://doi.org/10.3390/su142416356
  15. Keegan, B. J., Canhoto, A. I., & Yen, D. A. W. (2022). Power negotiation on the tango dancefloor: The adoption of AI in B2B marketing. Industrial Marketing Management, 100, 36-48. https://doi.org/10.1016/j.indmarman.2021.11.001
  16. Kingsnorth, S. (2022). Digital marketing strategy: an integrated approach to online marketing. Kogan Page Publishers.
  17. Kopalle, P. K., Gangwar, M., Kaplan, A., Ramachandran, D., Reinartz, W., & Rindfleisch, A. (2022). Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities. International Journal of Research in Marketing, 39(2), 522-540. https://doi.org/10.1016/j.ijresmar.2021.11.002
  18. Krishna, S. R., Rathor, K., Ranga, J., Soni, A., Srinivas, D., & Kumar, A. (2023, April). Artificial Intelligence Integrated with Big Data Analytics for Enhanced Marketing. In 2023 International Conference on Inventive Computation Technologies (ICICT) (pp. 1073-1077). IEEE.
  19. Kumar, V., Ramachandran, D., & Kumar, B. (2021). Influence of new-age technologies on marketing: A research agenda. Journal of Business Research, 125, 864-877. https://doi.org/10.1016/j.jbusres.2020.01.007
  20. Limna, P. (2023). Artificial Intelligence (AI) in the hospitality industry: A review article. International Journal of Computing Sciences Research, 7, 1306-1317.
  21. Liu-Thompkins, Y., Okazaki, S., & Li, H. (2022). Artificial empathy in marketing interactions: Bridging the human-AI gap in affective and social customer experience. Journal of the Academy of Marketing Science, 50(6), 1198-1218. https://doi.org/10.1007/s11747-022-00892-5
  22. Manoharan, G., Durai, S., Ashtikar, S. P., & Kumari, N. (2024). Artificial Intelligence in Marketing Applications. In Artificial Intelligence for Business (pp. 40-70). Productivity Press.
  23. Mariani, M. M., Perez‐Vega, R., & Wirtz, J. (2022). AI in marketing, consumer research and psychology: A systematic literature review and research agenda. Psychology & Marketing, 39(4), 755-776. https://doi.org/10.1002/mar.21619
  24. Mikalef, P., Islam, N., Parida, V., Singh, H., & Altwaijry, N. (2023). Artificial intelligence (AI) competencies for organisational performance: A B2B marketing capabilities perspective. Journal of Business Research, 164, 113998. https://doi.org/10.1016/j.jbusres.2023.113998
  25. Nair, K., & Gupta, R. (2021). Application of AI technology in modern digital marketing environment. World Journal of Entrepreneurship, Management and Sustainable Development, 17(3), 318-328. https://doi.org/10.1108/WJEMSD-08-2020-0099
  26. Nalbant, K. G., & Aydin, S. (2023). Development and transformation in digital marketing and branding with artificial intelligence and digital technologies dynamics in the Metaverse universe. Journal of Metaverse, 3(1), 9-18. https://doi.org/10.57019/jmv.1148015
  27. Prokhazka, H., & Melnyk, O. (2023). Implementation of AI in international law and administrative law (in the context of human rights protection). Amazonia Investiga, 12(67), 66-77. https://doi.org/10.34069/AI/2023.67.07.6
  28. Rathore, B. (2023). Digital transformation 4.0: integration of artificial intelligence & metaverse in marketing. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 12(1), 42-48.
  29. Ravindar, M., Ashmi, C., Gupta, S., & Gupta, M. (2022). AI: a new strategic method for marketing and sales platforms. Impact of artificial intelligence on organisational transformation, 183-199. https://doi.org/10.1002/9781119710301.ch12
  30. Salhab, H., Allahham, M., Abu-AlSondos, I., Frangieh, R., Alkhwaldi, A., & Ali, B. (2023). Inventory competition, artificial intelligence, and quality improvement decisions in supply chains with digital marketing. Uncertain Supply Chain Management, 11(4), 1915-1924.
  31. Saura, J. R., Ribeiro-Soriano, D., & Palacios-Marqués, D. (2021). Setting B2B digital marketing in artificial intelligence-based CRMs: A review and directions for future research. Industrial Marketing Management, 98, 161-178. https://doi.org/10.1016/j.indmarman.2021.08.006
  32. Savytska, N., Kashchena, N., Chmil, H., Muda I., & Olinichenko, K. (2021). Entrepreneurial characteristics as factors of human development. International Journal of Entrepreneurship, 25(6), 1-9. https://www.abacademies.org/articles/entrepreneurial-characteristics-as-factors-of-human-development.pdf
  33. Shaik, M. (2023). Impact of artificial intelligence on marketing. East Asian Journal of Multidisciplinary Research, 2(3), 993-1004. https://doi.org/10.55927/eajmr.v2i3.3112
  34. Srivastava, G., & Bag, S. (2024). Modern-day marketing concepts based on face recognition and neuro-marketing: a review and future research directions. Benchmarking: An International Journal, 31(2), 410-438. https://doi.org/10.1108/BIJ-09-2022-0588
  35. Van Esch, P., & Black, J.S. (2021). Artificial intelligence (AI): revolutionising digital marketing. Australasian Marketing Journal, 29(3), 199-203. https://doi.org/10.1177/18393349211037684
  36. Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 100002. https://doi.org/10.1016/j.jjimei.2020.100002
  37. Vlačić, B., Corbo, L., e Silva, S. C., & Dabić, M. (2021). The evolving role of artificial intelligence in marketing: A review and research agenda. Journal of Business Research, 128, 187-203. https://doi.org/10.1016/j.jbusres.2021.01.055
  38. Wen, L., Lin, W., & Guo, M. (2022). Study on optimisation of marketing communication strategies in the era of artificial intelligence. Mobile Information Systems, 2022. https://doi.org/10.1155/2022/1604184
  39. Yau, K. L. A., Saad, N. M., & Chong, Y. W. (2021). Artificial intelligence marketing (AIM) for enhancing customer relationships. Applied Sciences, 11(18), 8562. https://doi.org/10.3390/app11188562
  40. Zaitaseva, D. (2022). Editorial: Artificial intelligence as a new form of life: digital evolution in writing. Amazonia Investiga, 11(60), 7-9. https://doi.org/10.34069/AI/2022.60.12.0