| Beldad and Hegner (2018) | Technology acceptance model (TAM) | Empirical study | Perceived ease of use, perceived usefulness, injunctive social norm, trust, social influence and heath valuation |
| Cho (2016) | Post-acceptance model (PAM), technology acceptance model (TAM) | Empirical study | Perceived usefulness, perceived ease of use, confirmation and satisfaction |
| Yuan et al. (2015) and Woldeyohannes and Ngwenyama (2017) | Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) | Empirical study | Performance expectancy, hedonic motivations, price value, and habit; effort expectancy, social influence, and facilitating conditions |
| Huang and Ren (2020) | Technology Acceptance Model (TAM) and human-technology interaction perspective | Empirical study | perceived usefulness, perceived ease, perceived enjoyment, technological functions, exercise self-efficacy |
| Song et al. (2021) | Expectation-Confirmation Model (ECM), IS success model (ISCM) | Empirical study | Perceived usefulness, User satisfaction, perceived health status, information quality, system quality and service quality |
| Kumar, Singh, Pereira, and Leonidou (2020) | Expectation confirmation Model (ECM), technology Acceptance Model (TAM) | Empirical study | Satisfaction, confirmation, perceived ease of use, perceived usefulness, trust, social influence, perceived service quality, perceived privacy and security |
| Wang et al. (2021) | Expectation-confirmation model (ECM), self-determination theory (SDT) | Empirical study | Intrinsic motivation, satisfaction, confirmation, perceived usefulness |
| Hsiao and Chen (2019) | Expectation-confirmation model (ECM) and characteristics of individual, technology and task | Empirical study | Perceived usefulness, technology maturity, individual habits, task mobility and user satisfaction |
| Akter et al. (2013b) | Expectation-confirmation theory (ECM), service quality and consumer trust | Empirical study | Perceived usefulness, perceived service quality, perceived trust, confirmation, satisfaction |
| Zagita, Handayani, and Budi (2019) | Technology Acceptance Model (TAM), post-acceptance model (PAM), and Elaboration Likelihood Model (ELM) | Empirical study | Perceived usefulness, perceived ease of use, confirmation, satisfaction, trust, doctors' information quality and service quality, and applications' reputation and institution assurance |
| Zhang et al. (2018) | Elaboration likelihood model (ELM), Expectation-confirmation theory (ECM) | Empirical study | Perceived e-health literacy, scrutinizing information, system quality, trust and satisfaction |
| Chen, Yang, Zhang, and Yang (2018) | Elaboration likelihood model (ELM) | Experiment | Perceived usefulness, trust, doctor's service quality and information quality, app's reputation and institution assurance |
| Wu (2018) | IS success model (ISCM) | Empirical study | Perceived usefulness, social support, information quality, service quality, patient satisfaction |
| Hossain and Alamgir (2016) | IS success model (ISCM) | Empirical study | Platform quality, quality of advice, interaction quality, perceived value and user satisfaction |
| Akter et al. (2010) | SERVQUAL | Empirical study | Platform quality, interaction quality and outcome quality |
| Kim et al. (2019) | SERVQUAL | Case study | Engagement, content quality, reliability, usability and privacy |
| Meng et al. (2022) | Trust theory | Empirical study | Affective and cognitive trust, technology and health anxiety |
| Birkmeyer et al. (2021) | Technology acceptance model (TAM) | Empirical study | Perceived disease threat, health consciousness, attitude towards mHealth, personalization, interaction, mobile app design, social networking, satisfaction and word of mouth |
| Li et al. (2019) and Gupta et al. (2021) | Expectation confirmation theory and social comparison theory perspective | Empirical study | Activity amount ranking, activity frequency ranking, confirmation |
| Luo et al. (2021) | Protective motivation theory (PMT), network externalities | Empirical study | Perceived vulnerability, self-efficacy, response efficacy, direct and indirect network externalities, attitude towards mHealth |
| Yan et al. (2021) | Expectation Confirmation Theory (ECT), technology acceptance model (TAM) and flow theory | Empirical study | Perceived usefulness, perceived ease of use, subjective norms, flow experience, health consciousness, behavioral change techniques |
| Lee and Cho (2017) | Uses and gratification theory | Empirical study | Recordability, networkability, credibility, comprehensibility and trendiness significantly predict user CI for diet/fitness apps |
| Wu et al. (2022) | Extended expectation confirmation model (ECM) with IT identity and mindfulness | Empirical study | Expectation-confirmation, perceived usefulness, user satisfaction, IT identity and IT mindfulness |
| Xiao et al. (2021) | Valence Framework | Empirical study | Perceived risk (physical risk, social risk and privacy risk), perceived value (convenience value, utilitarian value, social support value and monetary value) |