The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)
Abstract
Abstract Background Developing countries around the globe are striving continuously to provide free access to health care services. Telemedicine services represent a significantly increasing form of an adequate health care delivery mechanism in developing countries. Research objective This research study was aimed at investigating the factors influencing the acceptance of telemedicine services among the rural population of Pakistan. Technology Acceptance Model (TAM) was used as a theoretical framework for this research, with the inclusion of several other antecedents. Research method A face-to-face survey method was used to collect research data from 275 participants. The data were analyzed using Partial Least Squares (PLS) method. Results The findings suggest that usage intention of telemedicine services is a function of perceived ease of use, technological anxiety, social influence, perceived ease of usefulness, trust, facilitating conditions, perceived risk, and resistance to technology. Conclusions This research study confirms the applicability of TAM with the inclusion of additional variables to model the adoption of telemedicine services in developing countries. The study offers valuable information for policymakers and health service providers for understanding the facilitators and inhibitors influencing the large scale implementation of telemedicine services. The research findings regarding factors including perceived risk, trust, facilitating conditions and resistance to change can aid in the design and adequate provision of telemedicine services in developing countries.
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Cites
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Cited by
Saif, N., Khan, S. U., Shaheen, I., ALotaibi, F. A., Alnfiai, M. M., & Arif, M. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2023.108097 · Cited by 301
Camilleri, M. A. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123247 · Cited by 261
Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025) · doi:10.20944/preprints202501.0074.v1 · Cited by 241
Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025) · Healthcare · doi:10.3390/healthcare13030250 · Cited by 241
Najib, M., & Fahma, F. (2020) · International Journal on Advanced Science, Engineering and Information Technology · doi:10.18517/ijaseit.10.4.11616 · Cited by 161
Metadata
- Authors
- Kamal, S. A., Shafiq, M., & Kakria, P.
- Venue
- Technology in Society
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 60
- Pages
- 101212
- ISSN
- 0160-791X (ISSN-L)
- OpenAlex
- W2987670788
- Cited by
- 894
- References
- 85
- FWCI
- 55.12
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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