Staff View: Exploring the Factors Affecting Telemedicine Adoption by Integrating UTAUT2 and IS Success Model: A Hybrid SEM-ANN Approach

Exploring the Factors Affecting Telemedicine Adoption by Integrating UTAUT2 and IS Success Model: A Hybrid SEM-ANN Approach

Telemedicine adoption has steadily grown due to its ability to provide accessible and cost-effective healthcare services. However, individuals' adoption rate still faces challenges, necessitating a comprehensive understanding of the factors influencing their adoption. This article explores the...

Full description

Saved in:

Bibliographic Details
Main Authors:	Thabet Z., Albashtawi S., Ansari H., Al-Emran M., Al-Sharafi M.A., Alqudah A.A.
Other Authors:	57848419100
Format:	Article
Published:	Institute of Electrical and Electronics Engineers Inc. 2025
Subjects:	Behavioral research Cost effectiveness Decision making Digital storage Information systems Information use Network security Reliability theory Telemedicine Artificial neural network Behavioral science Information systems success models Medical services PLS?structural equation modeling Privacy Security Structural equation models Telemedicine adoption The unified theory of acceptance and use of technology(UTAUT) Unified theory of acceptance and use of technology (UTAUT2) Neural networks
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.uniten.dspace-37191
record_format	dspace
spelling	my.uniten.dspace-371912025-03-03T15:48:28Z Exploring the Factors Affecting Telemedicine Adoption by Integrating UTAUT2 and IS Success Model: A Hybrid SEM-ANN Approach Thabet Z. Albashtawi S. Ansari H. Al-Emran M. Al-Sharafi M.A. Alqudah A.A. 57848419100 58298730300 58298356600 56593108000 57196477711 57222525211 Behavioral research Cost effectiveness Decision making Digital storage Information systems Information use Network security Reliability theory Telemedicine Artificial neural network Behavioral science Information systems success models Medical services PLS?structural equation modeling Privacy Security Structural equation models Telemedicine adoption The unified theory of acceptance and use of technology(UTAUT) Unified theory of acceptance and use of technology (UTAUT2) Neural networks Telemedicine adoption has steadily grown due to its ability to provide accessible and cost-effective healthcare services. However, individuals' adoption rate still faces challenges, necessitating a comprehensive understanding of the factors influencing their adoption. This article explores the factors affecting telemedicine adoption by integrating Unified Theory of Acceptance and Use of Technology, the Information System success model, and perceived security. The integrated model is evaluated using a hybrid structural equation modeling-artificial neural network (ANN) technique based on data collected from 152 individuals. The results showed that performance expectancy, hedonic motivation, perceived security, and user satisfaction significantly drive telemedicine adoption. Additionally, user satisfaction is affected substantially by information quality, system quality, and service quality. However, effort expectancy, social influence, and facilitating conditions do not significantly impact telemedicine adoption. The ANN findings revealed that user satisfaction is the most important driver for telemedicine adoption, with a normalized importance of 100%. This article contributes to telemedicine literature by providing a comprehensive framework that combines two well-established theories, offering insights into the multifaceted factors affecting telemedicine adoption. The findings also provide practical implications for decision-makers, policymakers, telemedicine service providers, software companies, and developers, emphasizing the importance of addressing the identified factors to promote widespread telemedicine adoption and ensure its long-term success. ? 1988-2012 IEEE. Final 2025-03-03T07:48:28Z 2025-03-03T07:48:28Z 2024 Article 10.1109/TEM.2023.3296132 2-s2.0-85165866686 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165866686&doi=10.1109%2fTEM.2023.3296132&partnerID=40&md5=9a78ce06c15fcbe3746c5f73e5372115 https://irepository.uniten.edu.my/handle/123456789/37191 71 8938 8950 Institute of Electrical and Electronics Engineers Inc. Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Behavioral research Cost effectiveness Decision making Digital storage Information systems Information use Network security Reliability theory Telemedicine Artificial neural network Behavioral science Information systems success models Medical services PLS?structural equation modeling Privacy Security Structural equation models Telemedicine adoption The unified theory of acceptance and use of technology(UTAUT) Unified theory of acceptance and use of technology (UTAUT2) Neural networks
spellingShingle	Behavioral research Cost effectiveness Decision making Digital storage Information systems Information use Network security Reliability theory Telemedicine Artificial neural network Behavioral science Information systems success models Medical services PLS?structural equation modeling Privacy Security Structural equation models Telemedicine adoption The unified theory of acceptance and use of technology(UTAUT) Unified theory of acceptance and use of technology (UTAUT2) Neural networks Thabet Z. Albashtawi S. Ansari H. Al-Emran M. Al-Sharafi M.A. Alqudah A.A. Exploring the Factors Affecting Telemedicine Adoption by Integrating UTAUT2 and IS Success Model: A Hybrid SEM-ANN Approach
description	Telemedicine adoption has steadily grown due to its ability to provide accessible and cost-effective healthcare services. However, individuals' adoption rate still faces challenges, necessitating a comprehensive understanding of the factors influencing their adoption. This article explores the factors affecting telemedicine adoption by integrating Unified Theory of Acceptance and Use of Technology, the Information System success model, and perceived security. The integrated model is evaluated using a hybrid structural equation modeling-artificial neural network (ANN) technique based on data collected from 152 individuals. The results showed that performance expectancy, hedonic motivation, perceived security, and user satisfaction significantly drive telemedicine adoption. Additionally, user satisfaction is affected substantially by information quality, system quality, and service quality. However, effort expectancy, social influence, and facilitating conditions do not significantly impact telemedicine adoption. The ANN findings revealed that user satisfaction is the most important driver for telemedicine adoption, with a normalized importance of 100%. This article contributes to telemedicine literature by providing a comprehensive framework that combines two well-established theories, offering insights into the multifaceted factors affecting telemedicine adoption. The findings also provide practical implications for decision-makers, policymakers, telemedicine service providers, software companies, and developers, emphasizing the importance of addressing the identified factors to promote widespread telemedicine adoption and ensure its long-term success. ? 1988-2012 IEEE.
author2	57848419100
author_facet	57848419100 Thabet Z. Albashtawi S. Ansari H. Al-Emran M. Al-Sharafi M.A. Alqudah A.A.
format	Article
author	Thabet Z. Albashtawi S. Ansari H. Al-Emran M. Al-Sharafi M.A. Alqudah A.A.
author_sort	Thabet Z.
title	Exploring the Factors Affecting Telemedicine Adoption by Integrating UTAUT2 and IS Success Model: A Hybrid SEM-ANN Approach
title_short	Exploring the Factors Affecting Telemedicine Adoption by Integrating UTAUT2 and IS Success Model: A Hybrid SEM-ANN Approach
title_full	Exploring the Factors Affecting Telemedicine Adoption by Integrating UTAUT2 and IS Success Model: A Hybrid SEM-ANN Approach
title_fullStr	Exploring the Factors Affecting Telemedicine Adoption by Integrating UTAUT2 and IS Success Model: A Hybrid SEM-ANN Approach
title_full_unstemmed	Exploring the Factors Affecting Telemedicine Adoption by Integrating UTAUT2 and IS Success Model: A Hybrid SEM-ANN Approach
title_sort	exploring the factors affecting telemedicine adoption by integrating utaut2 and is success model: a hybrid sem-ann approach
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2025
_version_	1826077385529753600
score	13.244413

Exploring the Factors Affecting Telemedicine Adoption by Integrating UTAUT2 and IS Success Model: A Hybrid SEM-ANN Approach

Similar Items