Dr Emmanuel Mogaji e.mogaji@keele.ac.uk
This article sheds light on the profound impact of technology on consumer behavior, specifically focusing on the rise of generative AI tools. It highlights how these advancements have revolutionized consumer engagement, purchase decision‐making, and technology interaction. The article underscores the transformative potential of generative AI in shaping consumer behavior through personalized recommendations and interactive shopping experiences. It emphasizes the need for continued research and exploration to comprehend and effectively navigate the ever‐evolving landscape of consumer behavior influenced by generative AI. Additionally, the article identifies implications for research and practice, offers valuable strategies for brands, and presents a comprehensive research agenda to delve deeper into this field. Ultimately, it provides valuable insights into the challenges and opportunities presented by generative AI in consumer behavior, serving as a guiding resource for advancing theory, practice, and policy in this domain.
Mogaji, E., & Jain, V. (2024). How generative AI is (will) change consumer behaviour: Postulating the potential impact and implications for research, practice, and policy. Journal of Consumer Behaviour, https://doi.org/10.1002/cb.2345
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 23, 2024 |
Online Publication Date | May 2, 2024 |
Publication Date | May 2, 2024 |
Deposit Date | May 8, 2024 |
Publicly Available Date | May 8, 2024 |
Journal | Journal of Consumer Behaviour |
Print ISSN | 1472-0817 |
Electronic ISSN | 1479-1838 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1002/cb.2345 |
Public URL | https://keele-repository.worktribe.com/output/823682 |
Publisher URL | https://onlinelibrary.wiley.com/doi/10.1002/cb.2345 |
How generative AI is (will) change consumer behaviour: Postulating the potential impact and implications for research, practice, and policy
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This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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