Abstract
Technology development has brought about new business practices and improved its ability to affect consumer behavior. Technology use also makes it easier to comprehend customer needs and provide better services to them. Therefore, in today's technology-driven marketing scenarios, it is crucial to comprehend the development of artificial intelligence (AI) and how it affects consumers’ purchase intentions. As artificial intelligence (AI) or AI-enabled services become more prevalent in the digital marketplace, we are seeing an impact on consumer purchase intentions. With the aid of bibliometric analysis, this paper seeks to review research on artificial intelligence and how it affects consumer purchase intention. The Web of Science and Scopus databases were used to gather the sample size for the study, which contained 85 papers from the years 2005 through 2023. The study reviews the annual scientific production along with the most prolific authors, articles and journals. Additionally, this study looks at the co-occurrence analysis to identify the thematic clusters utilizing the author's keywords. The annual scientific production analysis reveals a 12.25% yearly growth rate for research publications in the field under study. The top two highly cited journals in the field are the International Journal of Information Management and Telematics and Informatic with 320 and 97 citations respectively. Furthermore, the thematic clusters derived from the co-occurrence network highlight highly used keywords such as artificial intelligence, purchase intention, e-commerce and consumer behavior.
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Sharma, A.P., Sharma, N.K., Sidana, N., Goel, R. (2024). Impact of Artificial Intelligence on Purchase Intention: A Bibliometric Analysis. In: Gaur, L., Abraham, A. (eds) Role of Explainable Artificial Intelligence in E-Commerce. Studies in Computational Intelligence, vol 1094. Springer, Cham. https://doi.org/10.1007/978-3-031-55615-9_5
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