Determinants of behavioral intentions to use mobile healthcare applications in Jordan

Abstract

The purpose of this study is to examine the determinants of behavioral intentions to use of mobile health (m-Health) applications in Jordan through examining the mediating role of perceived trust and its influence on the behavioral intention to use such applications. A conceptual model was developed based on the extant literature. A questionnaire survey was administered to a convenient sample of 318. Data was analyzed using smart PLS 3. The findings suggest that patients’ behavioral intentions to use m-Health applications are positively affected by perceived ease of use, perceived security, social influence and perceived trust of these applications. Perceived Trust was also found to mediate the relationship between these factors and the behavioral intention. Discussion, conclusions, implications, research limitations and areas for future research are also provided.

The impact of UGC on hotel brand image

“…Hotels should actively monitor and analyze UGC, including reviews, ratings, and images on social media, to understand what customers think about the hotel and respond to any negative information in a timely manner; responding and resolving customer issues in a timely manner is key to maintaining a good reputation. For customer experience, hotels can provide excellent service and good infrastructure including friendly staff, comfortable rooms, convenient amenities and tasty food and beverage, etc., which will favor guests to share positive UGC positively, which will in turn enhance the hotel's brand [6]. Hotels can also create online communities or forums where hotels can allow customers to share travel experiences, advice and stories, which not only increases the amount of UGC, but also promotes interaction and communication between customers.…”

Avoiding uncertain buying intentions: Does WebQual matter?

“…Four additional measurement items adapted from Huy et al, (2019) were used to capture travelers' perceived trust. And finally, travelers' behavioral intentions were assessed in terms of travelers' online buying intentions adapted from Nusairat et al (2021aNusairat et al ( , 2021b. All measurement items were assessed on a five-point Likert scale.…”

“…Websites must include features that enable consumers to easily navigate, learn and search. Consumers who feel comfortable and not distressed while browsing and searching a website are believed to be more satisfied and have an intention to complete a transaction (Nusairat et al, 2021a). Finally, visual appeal relates to the aesthetics and graphical look of a website that entice consumers and encourage positive behaviors including online browsing and online transactions and lead to a positive experience.…”

Analysis the Critical Factors of M-government Service Acceptance: An Integrating Theoretical Model between TAM and ECM

“…Previous research has predicted the behavior of users in adopting and accepting mobile health services. Some researchers have used the TAM variable (Lee et al, 2018;Nusairat et al, 2021;Saare et al, 2019;Shemesh & Barnoy, 2020;Wang et al, 2019;Xu et al, 2022), UTAUT (Alaiad et al, 2019;Breil et al, 2019;Garavand et al, 2020;Nunes et al, 2019), UTAUT 2 (Yu et al, 2021), and some of these integrated models between TAM and UTAUT (Lee et al, 2018;Saare et al, 2019) to study user behavior in m-health applications. Lee et al (2018) A recent study needs to be more extensive in exploring the relationship between TAM and ECM variables in the mobile payment context (Sarassina 2022).…”

“…In the empirical investigation of previous studies, the TAM variable has proven to be a strong model for predicting the individual behavior to adopt and accept technology-based services, such as mobile health applications (Lee et al, 2018;Nusairat et al, 2021;Saare et al, 2019;Shemesh & Barnoy, 2020;Wang et al, 2019;Xu et al, 2022).…”