TY - JOUR
T1 - Analysis of Factors Influencing We-Intention in Healthcare Applications Based on the AISAS Model
AU - Ding, Ming Yuan
AU - Wang, Wei Tsong
N1 - Publisher Copyright:
© 2023 Taylor & Francis Group, LLC.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
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U2 - 10.1080/10447318.2022.2163566
DO - 10.1080/10447318.2022.2163566
M3 - Article
AN - SCOPUS:85145723842
SN - 1044-7318
JO - International Journal of Human-Computer Interaction
JF - International Journal of Human-Computer Interaction
ER -