Authors : J. Satish; Indumthi R.; Aparna Gandhi R.; Ramesh Kumar P. M.; Balaji P.

Volume/Issue : Volume 11 - 2026, Issue 10 - October

Google Scholar : https://tinyurl.com/y575xwcv

DOI : https://doi.org/10.38124/ijisrt/26Oct847

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Artificial Intelligence has become a dominant technology in digital business and has greatly changed how businesses interact with customers. Digital businesses increasingly use AI-based technologies to deliver convenient, personalized services. Such technologies include Chatbots, virtual assistants, recommendation systems, personalized advertisements, automated customer support, and AI-powered search. These developments have changed customer expectations and affected their willingness to use and continue using digital services. Therefore, businesses operating in a thriving digital environment must understand AI from the customer’s perspective. The study covers a broad spectrum of AI dimensions, including personalization, efficiency, ease of use, responsiveness, reliability, service quality, security, and privacy. These factors are expected to influence customers’ behavioral intentions, including buying behavior, usage, purchasing patterns, and recommending AI-enabled digital services. The study also investigates “Customer experience and Customer engagement as mediators” to understand how AI impacts customers’ behavioral responses. The study has adopted a quantitative research approach. The study collects primary data through a questionnaire from customers with experience using AI-enabled digital business services. The study measures customers’ perceptions and behavioral intentions using a five-point Likert scale. The study uses descriptive statistics, correlation, and regression to examine the relationships among AI, Customer experience, Customer engagement, and behavioral intention. The findings provide a clearer view of AI’s effect on consumer behavior, helping digital businesses enhance convenience, personalization, Customer engagement & experience; address privacy & security concerns; build customer trust; and encourage continued use of AI-enabled digital services.

Keywords : Artificial Intelligence, Digital Business, Customer Experience, Customer Engagement and Behavioral Intention.

References :

1. Benk, M., Kerstan, S., Von Wangenheim, F., & Ferrario, A. (2025). Twenty-four years of empirical research on trust in AI: a bibliometric review of trends, overlooked issues, and future directions. AI & Society, 40(4), 2083-2106.
2. Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the academy of marketing science, 48(1), 24-42.
3. Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the academy of marketing science, 48(1), 24-42.
4. Fox, J., Weisberg, S., & Price, B. (2026). car: Companion to Applied Regression. [R package]. Retrieved from https://cran.r-project.org/package=car.
5. Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals, 14(2), 627-660.
6. Gomes, S., Lopes, J. M., & Trancoso, T. (2025). Customer experience in digital transformation: the influence of intelligent chatbots toward a sustainable market. International Journal of Innovation Science, 17(4), 803-823.
7. Gouveia, J., & Santos, S. (2025). Rethinking the customer journey: Impact of AI for consumers and businesses—A systematic literature review and research agenda. International Journal of Consumer Studies, 49(6), e70136.
8. Hollebeek, L. D., Menidjel, C., Sarstedt, M., Jansson, J., & Urbonavicius, S. (2024). Engaging consumers through artificial intelligence technologies: Systematic review, conceptual model, and further research. Psychology & Marketing, 41(4), 880-898.
9. https://economictimes.indiatimes.com/tech/technology/ai-is-touching-lives-of-9-in-10-internet-users-report/articleshow/109601626.cms
10. https://www.careers360.com/courses-certifications/articles/what-is-digital-business-and-its-types-importance
11. https://www.simplilearn.com/digital-business-article
12. https://www.upgrad.com/blog/what-is-digital-business/
13. Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155-172.
14. Jiang, H., Cheng, Y., Yang, J., & Gao, S. (2022). AI-powered chatbot communication with customers: Dialogic interactions, satisfaction, engagement, and customer behavior. Computers in Human Behavior, 134, 107329.
15. Kelly, S., Kaye, S. A., & Oviedo-Trespalacios, O. (2023). What factors contribute to the acceptance of artificial intelligence? A systematic review. Telematics and Informatics, 77, 101925.
16. R Core Team (2026). R: A Language and environment for statistical computing. (Version 4.6) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from CRAN snapshot 2026-05-11).
17. Revelle, W. (2026). psych: Procedures for Psychological, Psychometric, and Personality Research. [R package]. Retrieved from https://cran.r-project.org/package=psych.
18. The jamovi project (2026). Jamovi. (Version 28) [Computer Software]. Retrieved from https://www.jamovi.org.
19. Wani, M., Naqshbandi, M. A. B., & Baba, M. M. (2026). Artificial Intelligence Driven Customer Engagement: A Study of Indian E-Commerce Consumers. Journal of Marketing and Management Insight, 1(1), 6.