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Modelling telemedicine adoption intention during COVID-19 pandemic: an extended unified theory of acceptance and use of technology

Author

Listed:
  • Jing Kai Teng
  • Ali Vafaei-Zadeh
  • Syafrizal Syafrizal
  • Karpal Singh Dara Singh
  • Razib Chandra Chanda

Abstract

Anchored on the unified theory of acceptance and use of technology (UTAUT), the study investigated factors that influence people's intention to adopt telemedicine services. Data was gathered from 328 respondents based on a purposive sampling technique. Data that was analysed through the means of structural equation modelling revealed that performance expectancy, perceived credibility, financial cost, and perceived risk significantly affect the individuals' intention to adopt telemedicine. However, effort expectancy, facilitating conditions, and social influence had no significant effect on the intention to adopt telemedicine. The insights may be useful to healthcare providers in developing various initiatives to attract and retain customers. The findings may also assist policy makers in introducing various measures to foster the growth and development of telemedicine services amongst healthcare providers. The study presented a comprehensive perspective on individuals' behavioural intention in adopting telemedicine healthcare services in Malaysia by using the extended UTAUT model.

Suggested Citation

  • Jing Kai Teng & Ali Vafaei-Zadeh & Syafrizal Syafrizal & Karpal Singh Dara Singh & Razib Chandra Chanda, 2024. "Modelling telemedicine adoption intention during COVID-19 pandemic: an extended unified theory of acceptance and use of technology," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 23(3), pages 337-358.
    • Handle: RePEc:ids:ijmdma:v:23:y:2024:i:3:p:337-358
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