Table 1 Summarizes recent research applying ECM in m-health.
Author (Year) | Context | Methodology | Theory | Results |
|---|---|---|---|---|
Nouri et al.25 | Mobile Health | SEM-PLS | ECM + Consumer value theory | Habit, Perceived value, and SAT significantly positively affect CI. |
Amin et al.10 | fitness and health apps | SEM-AMOS | ECM + Investment model | PU, SAT, and commitment have a significant positive effect on CI. |
Zhu et al.26 | Mobile Health | SEM-PLS | ECM | SAT, Information technology identity, and information technology mindfulness significantly positively affect CI. |
Bhattacherjee27 | e-Health services | SEM-PLS | ECM + TAM | PU, SAT, perceived ease of use, perceived SEQ, trust, perceived privacy and security, and social influence significantly positively affect CI. |
Ashrafi et al.28 | Cloud-based e-learning system | SEM-AMOS + SPSS | ECM, flow theory, and human–organization–technology fit framework | PU, SAT, and flow experience significantly positively affect CI. |
Lee and Cho29 | E-health/m-health | SPSS | ECM | SAT, PU, and technology readiness significantly positively affect CI. |
Bhattacherjee30 | mHealth Apps | SEM-PLS | ECM + self-determination theory | SAT, PU, and intrinsic motivation significantly positively affect CI. |
Wang and Cao31 | mHealth Apps | SEM-PLS | ECM | Perceived privacy risk, SAT have significant positive effect on discontinuance intention. |
Wu et al.32 | mobile health services | SEM-AMOS + SPSS | ECM | PU, SAT, and subjective norm significantly positively affect CI. |
Anil Kumar and Natarajan25 | social fitness-tracking apps | SEM-PLS | ECM | CON has a significant positive effect on CI. |
