Determinants Impacting User Behavior towards Emergency Use Intentions of m-Health Services in Taiwan

Abstract

Emergency usage intention and behavior are crucial to business service success for m-Health providers and patient healthcare service. This study aimed to identify the factors that influence m-Health acceptance and the effect of emergency use intentions on usage behavior among Taiwanese m-Health users by adopting and extending the Unified Theory of Acceptance and Use of Technology (UTAUT). This study also examines the moderating role of gender and age in the effects of the independent variables on satisfaction with m-Health services. An online questionnaire was used to collect data from 371 participants. The results revealed that performance expectancy, facilitating conditions, and trust had positive effects on user satisfaction. Additionally, m-Health knowledge and user satisfaction had positive effects on emergency use intentions. However, social influence and effort expectancy did not have a significant effect on satisfaction. Moreover, age and gender significantly moderated the effects of some predictors.

Integrative adoption model for personal health records: A structural equation modeling approach

“…This finding indicates that designing PHR systems for all users requires sufficient functionality that satisfies each patient's health needs. The observed effect of a patient's intention to use an information system on the patients' intentions for healthy behavior is also consistent with previous studies (Ahadzadeh et al, 2015;Lee et al, 2021).…”

Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach

“…These findings can be the theoretical guidelines of the Commission on Higher Education of the Philippines for enhancing eLearning platforms. Although this study only utilized the UTAUT2 approach with two additional variables: Learning Value and Instructor Characteristics, the framework would be very valuable for enhancing the open innovation in eLearning platforms in medical fields worldwide [ 42 , 43 , 44 , 45 , 46 ].…”

Stimuli Influencing Engagement, Satisfaction, and Intention to Use Telemedicine Services: An Integrative Model

“…For example, when examining the specific technology contexts, such as social networking and m-commerce apps, McLean [ 19 ] revealed that enhanced performance, impression, enjoyment, efficiency, and effectiveness from using these apps increase engagement. Similarly, when the users consider telemedicine successful in improving their health conditions, they are more likely to be satisfied with them [ 25 , 42 , 48 ].…”

“…Our study defines the facilitating condition as how telemedicine infrastructure, resources, and facilities support a user to use the system. Related literature embedded within the UTAUT model evinced that enabling conditions, such as users’ technical knowledge, system infrastructure, and technical support, significantly improve their satisfaction with telemedicine systems [ 25 ]. In addition, many studies in the field of telemedicine have shown that it directly influences the desire to use telemedicine services [ 28 , 51 , 57 ].…”

“…Satisfaction, an individual’s emotional response to the stimuli [ 21 ], also enhances consumers’ post-adoption behaviors, including the CUI, word-of-mouth, repeat purchase, or loyalty toward any technology field [ 25 ]. Consequently, some researchers [ 25 , 26 ] concluded that telemedicine stimuli, such as performance expectancy, effort expectancy, facilitating conditions, functionality, and information quality significantly impact user satisfaction. Still, very few studies have evinced how these external stimuli can improve post-adoption behaviors toward telemedicine via satisfaction.…”