A study on the factors influencing the adoption of telemedicine health services in metropolitan city hospitals

Background: The integration of telemedicine into healthcare systems presents a transformative opportunity to enhance service delivery, particularly in high-density metropolitan areas. However, its adoption faces significant barriers. This study investigates the factors influencing the adoption intention of telemedicine services among healthcare stakeholders in a major metropolitan city. Methods: A mixed-methods approach was employed, combining a quantitative survey based on the Unified Theory of Acceptance and Use of Technology (UTAUT) with qualitative insights from in-depth interviews. Data were collected from 107 respondents, including healthcare professionals and administrators, using a structured questionnaire and convenience sampling. Results: Regression analysis revealed that Effort Expectancy (β=0.419, p

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Publication Details

Journal
International Journal of Research in Management
Published
2025-01-01
DOI
https://doi.org/10.33545/26648792.2025.v7.i2c.465
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

A study on the factors influencing the adoption of telemedicine health services in metropolitan city hospitals

Asma Manzoor, Tam Hameed Kan
International Journal of Research in Management
Technology and Data Analysis
article

A study on the factors influencing the adoption of telemedicine health services in metropolitan city hospitals

Asma Manzoor, Tam Hameed Kan
article en

Abstract

Background: The integration of telemedicine into healthcare systems presents a transformative opportunity to enhance service delivery, particularly in high-density metropolitan areas. However, its adoption faces significant barriers. This study investigates the factors influencing the adoption intention of telemedicine services among healthcare stakeholders in a major metropolitan city. Methods: A mixed-methods approach was employed, combining a quantitative survey based on the Unified Theory of Acceptance and Use of Technology (UTAUT) with qualitative insights from in-depth interviews. Data were collected from 107 respondents, including healthcare professionals and administrators, using a structured questionnaire and convenience sampling. Results: Regression analysis revealed that Effort Expectancy (β=0.419, p

International Journal of Research in ManagementVol. 7(2)
Openalex Percentile: Top 67%
Technology and Data Analysis
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