Paper Contents
Abstract
Artificial intelligence (AI), big data, and Internet of Things (IoT) technologies are enabling hyper-personalization, or the capacity to create and provide insurance solutions that are customized at the individual level in real time, and this is causing a significant shift in the insurance sector. Although hyper-personalization is being investigated more and more by InsurTech companies in India, there is a noticeable conceptual knowledge vacuum on the ways in which these technologies affect customer adoption, trust, and happiness. By identifying important hyper-personalization technologies, assessing the value they offer to customers, and studying adoption barriers, facilitators, and ethical issues in the Indian context, this research aims to close this gap. In addition to highlighting consequences for managers, regulators, and future study, the article offers a conceptual framework that connects hyper-personalization techniques with consumer adoption dynamics.
Copyright
Copyright © 2025 Madhu Sheoran. This is an open access article distributed under the Creative Commons Attribution License.
