https://orcid.org/0000-0003-3884-1238
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Abstract
The purpose of this study is to develop and test a theoretical model that can be used to predict the influencing factors affecting users’ use of healthcare applications. Our research structure model is based on the Attention-Interest-Search-Action-Share (AISAS) model, combined with the indicators of personal intention and social identity, to predict we-intention. The proposed model was tested through a survey of 353 users of healthcare applications from mainland China and Taiwan. Based on the five characteristics of the AISAS model, this study integrates three levels of influencing factors (individual dimension, social dimension, and application design dimension) that affect users’ use of healthcare applications. It also verifies that users have both personal intention and we-intention when using healthcare applications. This research contributes to the theoretical development of the AISAS model, we-intention and healthcare applications. Finally, implications for theory and practice and directions for future research are discussed.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
Ming Yuan Ding
Ming Yuan Ding is a PhD student at the Institute of Information Management, National Cheng Kung University, Taiwan. His research interests are social networking services, healthcare applications and sentiment analysis.
Wei-Tsong Wang
Wei-Tsong Wang received his Ph.D. in Information Science from the State University of New York at Albany, USA. His current research interests include e-commerce and knowledge management. His works have appeared in journals including Information and Management, Decision Sciences, Decision Support Systems, and Information Systems Frontiers, among others.