Published on: April 2026
THE INFLUENCE OF ARTIFICIAL INTELLIGENCE ON CONSUMER BEHAVIOR: A SYSTEMATIC LITERATURE REVIEW
NAVNEET SHARMA
ROHIT VERMA
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Abstract
The rapid proliferation of Artificial Intelligence (AI) has fundamentally restructured the relationship between brands and consumers. This research provides a comprehensive systematic literature review of the multifaceted influences of AI on consumer behavior, aggregating data from a high-quality sample of English-language articles retrieved from the Web of Science. The study evaluates the interdependence of AI technologies with consumer attitudes, preferences, and complex decision-making processes. Key areas of investigation include the positive reinforcement of consumer attitudes through AI, the potential pitfalls of algorithmic recommendations, and the evolving landscape of privacy risks associated with AI-driven recommendation agents.
Furthermore, the study explores niche applications such as GAN-generated fashion products, AI’s role in ethnic sectors, and the service automation frameworks of Industry 4.0. The findings demonstrate that while AI significantly enhances personalization and predictive accuracy, it simultaneously introduces challenges regarding "information cocoons" and data transparency. By synthesizing academic and industrial insights, this paper provides a robust foundation for marketers and researchers to understand how AI-powered applications, from the Internet of Things (IoT) to generative models, are redefining the service profit chain and consumer satisfaction in the modern digital economy.
How to Cite this Paper
SHARMA, N. (2026). The Influence of Artificial Intelligence on Consumer Behavior: A Systematic Literature Review. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.494
SHARMA, NAVNEET. "The Influence of Artificial Intelligence on Consumer Behavior: A Systematic Literature Review." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.494.
SHARMA, NAVNEET. "The Influence of Artificial Intelligence on Consumer Behavior: A Systematic Literature Review." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.494.
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References
- Chen, L., Zhang, W., & Wang, Y. (2022). Effects of AI-based recommendations on consumer decision-making and information diversity. Journal of Consumer Research, 49(3), 512–527.
- Flavián, C., & Casaló, L. V. (2021). Artificial intelligence in service industries: Understanding its impact on customer experience. Service Industries Journal, 41(11–12), 791–814.
- Kumar, V., Rajan, B., Gupta, S., & Dalla Pozza, I. (2019). Customer engagement in a digital world: AI-driven personalized marketing. Journal of Interactive Marketing, 48, 26–41.
- Olan, F., Mezhuyev, V., & Benyoucef, M. (2021). Using fsQCA to explore how AI influences consumer behaviour and knowledge-sharing. Technological Forecasting and Social Change, 166, 120–135.
- Peng, S., & Krutasaen, W. (2022). AI decision-making and IoT applications in ethnic clothing consumption. Asian Journal of Business Research, 12(1), 45–60.
- Rohden, A., & Zeferino, A. M. (2023). AI recommendation agents and consumer perceptions of data privacy risk. Computers in Human Behavior, 139, 107–121.
- Sohn, K., Lee, J., & Kim, H. (2021). Consumer evaluation of GAN-generated fashion products. Journal of Retailing and Consumer Services, 63, 102–115.
- Tchelidze, T. (2019). Artificial intelligence and the future of digital marketing skills. International Journal of Digital Marketing, 5(2), 55–64.
- Wei, W., & Prentice, C. (2022). The role of AI-powered applications in the service profit chain. Journal of Service Theory and Practice, 32(3), 467–487.
- Xian, S. (2021). Adoption of artificial intelligence in the leisure economy: The role of personal innovativeness. Technology in Society, 65, 101–118.
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- •Published on: Apr 20 2026
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