The Interaction of Perceived Susceptibility with Predictors of mHealth Technology Usage
Bibliographic Data
| ID | 15329653 |
|---|---|
| Authors | Maryati Sutarno (Maryati Sutarno, Sekolah Tinggi Ilmu Kesehatan Abdi Nusantara, Jakarta, Indonesia. Sutarno, Universitas Hang Tuah, Surabaya, Indonesia; [email protected], corresponding author), Sutarno Sutarno (0000-0003-0953-5901) |
| Year | 2022 |
| Volume | 46 |
| Issue | 6 |
| Pages | 716-728 |
| Publication date | 2022-12-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Health Behavior (JOURNAL) |
| Journal identifiers | ISSN: 1087-3244 • E-ISSN: 1945-7359 |
| Publisher | PNG Publications (PUBLISHER • US) |
| DOI | 10.5993/ajhb.46.6.14 |
| PMID | 36721284 |
| OpenAlex | W4317395579 |
| Language | EN |
| Citations received | 1 |
| References cited | 39 |
Objectives: Based on the significance of mobile healthcare (mHealth) technologies in the dynamic and competitive environment, the current study examined the interactive effect of individuals' perceived susceptibility of being ill with the performance expectancy, social influence, and facilitating conditions on their intentions and actual usage of mHealth technologies during medical emergencies/disastrous situations. Methods: Surveying 417 mHealth users in Indonesia, the current study applied structural equational modeling in SmartPLS ver.4 software to analyze the collected data. Results: Results revealed the importance of individuals' expectations regarding the performance of mHealth technologies along with the views of their social networks and facilitating conditions provided by the healthcare organizations to influence mHealth technologies' use during medical emergencies. However, results showed the strongest influence of facilitating conditions on the usage of mHealth technologies reflecting the significance of ease of use. Additionally, findings showed the significant contingent role of the perceived susceptibility of users to augment their intentions to adopt the mHealth technologies. Conclusion: The current study is expected to bring valuable insights to health service providers, health professionals, medical institutions, and practitioners by highlighting factors that facilitate individuals to use mHealth technologies during emergencies
Expectancy theory · Health care · Internet privacy · Knowledge management · mHealth · Psychological intervention · Computer Science · FinTech, Crowdfunding, Digital Finance · Medicine · Mobile Health and mHealth Applications · Nursing · Psychology · Social Psychology · Technology Adoption and User Behaviour
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| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |