The Impact of Post-Use Consumer Satisfaction on Smart Wearables Repurchase Intention in the Context of AI-Based Healthcare Information

Abstract

In this chapter, using a combination of the expectation-confirmation theory (ECT) and the latent variable model, the authors have analyzed what factors contribute to one's intention to continue usage with conformation, performance expectancy, and satisfaction. Based on a sample of 678 smart wearable users, collected from Northern India, the authors have used structural equation modelling (Smart PLS4) and identified the impact of satisfaction post-adoption technology, willingness to pay a premium price, and health information accuracy on the continuing intention of smart wearable users. According to the findings, consumer satisfaction, health information accuracy, and willingness to pay the premium price are key variables that have a substantial impact on the long-term purpose to repurchase and use smart wearables. This study has many implications for smartwatch manufacturers and designers looking to increase users' intent to continue using their products.

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