Volume 11, Issue 1, 2026
International Journal of Commerce and Management Studies, ISSN 2456-3684
Author Name and Affiliation
Dr. Abhijit R. Gajghate
Associate Professor, Department of Business Management
Madhukarrao Pandav College of Engineering, Bhandara, India
Abstract
Keywords
AI-generated content; ChatGPT; Consumer decision-making; Purchase intention; Digital marketing; India; Personalization; Trust; Online shopping
References
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
- Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Wamba, S. F., & Sharma, S. K. (2023). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice, and policy. International Journal of Information Management, 71, 102642.
- Filieri, R. (2016). What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM. Journal of Business Research, 69(11), 5463–5471.
- Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.
- Huang, M., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50.
- Lee, J. (2023). Personalized AI recommendations and their influence on consumer satisfaction and loyalty. Journal of Interactive Marketing, 62, 12–25.
- Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134.
- Tam, K. Y., & Ho, S. Y. (2005). Web personalization as a persuasion strategy: An elaboration likelihood model perspective. Information Systems Research, 16(3), 271–291.
- Aydin, G. (2023). The impact of AI-generated product descriptions on consumer purchase intention. Journal of Retailing and Consumer Services, 72, 103234.
- Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E., & Sharma, S. K. (2024). Navigating the future of generative AI: Implications for consumers, businesses, and policymakers. International Journal of Information Management, 75, 102883.
- Kim, H., & Kim, J. (2023). Consumer trust in AI-based recommendation agents: The role of transparency and expertise. Computers in Human Behavior, 147, 107833.
- Longoni, C., & Cian, L. (2022). Artificial intelligence in marketing: Consumer response, ethics, and future research directions. Journal of Business Research, 145, 864–878.
- Prentice, C., & Nguyen, M. (2022). Conversational AI and consumer behavior: A systematic review and research agenda. Psychology & Marketing, 39(8), 1504–1523.
- Zhang, T., & Lu, Y. (2023). Understanding consumer persuasion in AI-generated content: An elaboration likelihood model perspective. Information & Management, 60(5), 103730.
DOI
DOI: 10.67061/ijcams.2026.vol.11.issue.01.4014
