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Gen-Z Reaction towards Telemedicine

Measurement on Self-efficacy as Psychological Quantitative Mediator

Bibliographic Data

ID22413178
AuthorsRohana Sham (0000-0003-2000-7448), Nohman Khan (0000-0001-9714-6273), Patricija Bajec (0000-0003-1511-1064), Mohammed Awad Abdul Hafiz
Year2026
Volume34
Issue2
Publication date2026-04-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePertanika Journal of Social Sciences and Humanities (JOURNAL)
Journal identifiersISSN: 0128-7702 • E-ISSN: 2231-8534
PublisherUniversiti Putra Malaysia (PUBLISHER • MY)
DOI10.47836/pjssh.34.2.23
OpenAlexW7167571685
LanguageEN

Telemedicine has consistently reported low adoption among Malaysian citizens, especially among University Gen-Z. Therefore, this study aims to investigate telemedicine adoption among Malaysian Gen Z consumers and how self-efficacy mediates the relationship between consumer perceptions. A questionnaire was distributed to 408 Malaysian University Gen Z respondents aged 18 and above living in the Kuala Lumpur urban area via face-to-face survey. After data screening for straight lining and incomplete responses, 395 valid cases were retained for analysis. Smart PLS was then employed to examine the direct association between the variables, including the mediator. The results showed that performance expectancy and trust have no direct relationship with telemedicine adoption among Gen-Z; however, when self-efficacy was used as a mediator, it showed a positive mediating effect on all tested independent variables and telemedicine adoption. The telemedicine framework in this study may offer a deeper understanding of the issues faced in telemedicine adoption in Malaysian urban areas. This study concludes that the psychological bridge that self-efficacy posits has a positive effect on the adoption of telemedicine among urbanites. In addition, the right mechanisms are provided to healthcare providers and policymakers to enhance future adoption of telemedicine.

Bridge (graph theory) · Expectancy theory · Health care · Kuala lumpur · Telemedicine · Consumer Retail Behavior Studies · Generational Differences and Trends · Technology Adoption and User Behaviour

Citation velocityhistorical
Highly citedNo

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae