Investigating users’ perceptions in the pre-usage stage and the post-usage stage is critical to explain technology acceptance and continuance usage (Venkatesh, Thong, Chan, Hu, & Brown, 2011). To the best of our knowledge, there is no empirical study to explain the discrepancy between elderly users’ expectation and their perceived performance of using mHealth apps from a longitudinal perspective. To fill this research gap, a three-stage theoretical model drawn from expectation-confirmation theory, diffusion of innovation theory, and technology-individual-environment framework is developed to explain elderly users’ intention to use mHealth apps and their continuance behaviors. Both surveys and qualitative focus groups will be used to collect data. With the assistance of two elderly service organizations, our multistage model will be examined by recruiting elderly people from their elderly centers. Partial Least Squares-Structural Equation Modelling (PLS-SEM) will be used for our data analysis. We will conduct a focus group investigation to augment the insights gained from the survey results. Overall, our findings not only contribute to the literature on elderly healthcare technology adoption, but also provide managerial guidance for the government, the elderly service organizations, and tertiary education about how to promote mHealth technology usage among the elders effectively.
|Effective start/end date||1/01/22 → 31/12/23|
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