Article: Impact of privacy, technology readiness, and perceived crowding on adoption of telemedicine services Journal: International Journal of Electronic Marketing and Retailing (IJEMR) 2024 Vol.15 No.4 pp.455 - 478 Abstract: This paper utilised the unified theory of acceptance and use of technology (UTAUT) model to empirically investigate the influence of behavioural traits (technology readiness, privacy, and perceived crowding) and core constructs of the UTAUT model (performance expectancy, effort expectancy, social influence, facilitating condition) on user behavioural intentions to accept telemedicine services. The primary data was obtained through a questionnaire from 570 respondents of Delhi NCR Region (India). Partial least square-structural equation modelling (PLS-SEM) technique was used to test the proposed model. The results indicate that performance expectancy, effort expectancy, facilitating conditions, social influence, technology readiness, perceived crowding are direct predictors of user behaviour to accept telemedicine services. Interestingly, further investigation shows that there is no relationship between privacy and behavioural intention. This study integrated important elements, i.e., privacy, technology readiness, and perceived crowding factors, into UTAUT to provide a comprehensive view of telemedicine adoption. The study also provides guidelines to developing countries for the acceptance of telemedicine services. Inderscience Publishers - linking academia, business and industry through research

Title: Impact of privacy, technology readiness, and perceived crowding on adoption of telemedicine services

Authors: Gurcharan Singh; Sourabh Bhatt; Deepika Jhamb

Addresses: School of Management Studies, Punjabi University, Patiala, Punjab, India ' School of Management Studies, Punjabi University, Patiala, Punjab, India ' Chitkara Business School, Chitkara University, Punjab, India

Abstract: This paper utilised the unified theory of acceptance and use of technology (UTAUT) model to empirically investigate the influence of behavioural traits (technology readiness, privacy, and perceived crowding) and core constructs of the UTAUT model (performance expectancy, effort expectancy, social influence, facilitating condition) on user behavioural intentions to accept telemedicine services. The primary data was obtained through a questionnaire from 570 respondents of Delhi NCR Region (India). Partial least square-structural equation modelling (PLS-SEM) technique was used to test the proposed model. The results indicate that performance expectancy, effort expectancy, facilitating conditions, social influence, technology readiness, perceived crowding are direct predictors of user behaviour to accept telemedicine services. Interestingly, further investigation shows that there is no relationship between privacy and behavioural intention. This study integrated important elements, i.e., privacy, technology readiness, and perceived crowding factors, into UTAUT to provide a comprehensive view of telemedicine adoption. The study also provides guidelines to developing countries for the acceptance of telemedicine services.

Keywords: telemedicine services; technology readiness; perceived crowding; privacy; unified theory of acceptance and use of technology; UTAUT.

DOI: 10.1504/IJEMR.2024.139380

International Journal of Electronic Marketing and Retailing, 2024 Vol.15 No.4, pp.455 - 478

Received: 18 Jan 2022
Accepted: 01 Jul 2022
Published online: 02 Jul 2024 *

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Title: Impact of privacy, technology readiness, and perceived crowding on adoption of telemedicine services

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