Identifying Factors Affecting Doctors to Adopt Internet-Based Healthcare Application Using Extended TAM

Technology Acceptance Model (TAM) has been developed to explain user acceptance of new information technologies. The objective of this study is to identify factors that affect doctors' adoption of and the reasons of not adopting the internet-based healthcare applications. A survey was carried o...

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Main Author:	Dreheeb, Abdul Hakim Moawia
Format:	Thesis
Language:	eng eng
Published:	2006
Subjects:	TK5101-6720 Telecommunication
Online Access:	https://etd.uum.edu.my/1782/2/Abdul_Hakim_Moawia_Dreheeb-Identifying_factors_affecting_doctors_to_adopt_internet-based_healthcare_application_using_extended_TAM.pdf https://etd.uum.edu.my/1782/3/Abdul_Hakim_Moawia_Dreheeb-Identifying_factors_affecting_doctors_to_adopt_internet-based_healthcare_application_using_extended_TAM.pdf
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id	my-uum-etd.1782
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	TK5101-6720 Telecommunication
spellingShingle	TK5101-6720 Telecommunication Dreheeb, Abdul Hakim Moawia Identifying Factors Affecting Doctors to Adopt Internet-Based Healthcare Application Using Extended TAM
description	Technology Acceptance Model (TAM) has been developed to explain user acceptance of new information technologies. The objective of this study is to identify factors that affect doctors' adoption of and the reasons of not adopting the internet-based healthcare applications. A survey was carried out that involved 300 doctors in the Alor Setar General Hospital (ASGH) in Malaysia, in order to see whether TAM fits in the health field. In addition, they survey was done to identifying factors affecting doctors in adopting the internet-based healthcare application. The core perception variables are perceived ease of use, perceived usefulness, and perceived behavior include, which include a strong determinant of intention to use. The factors identified in this research are (job relevance, output quality, result demonstrability, image, experience, subject norm, learn ability, screen design, self efficacy, support, training, and availability). From the survey, it were found that all factors have influence on doctors in adopting the internet-based healthcare application. This proved that extended TAM is important. In summary, the findings presented in the study suggest various reasons of why doctors do not adopt the internet based healthcare application in their work. Finally, some recommendations are made for the government in improving the internet-based application in the health field.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Dreheeb, Abdul Hakim Moawia
author_facet	Dreheeb, Abdul Hakim Moawia
author_sort	Dreheeb, Abdul Hakim Moawia
title	Identifying Factors Affecting Doctors to Adopt Internet-Based Healthcare Application Using Extended TAM
title_short	Identifying Factors Affecting Doctors to Adopt Internet-Based Healthcare Application Using Extended TAM
title_full	Identifying Factors Affecting Doctors to Adopt Internet-Based Healthcare Application Using Extended TAM
title_fullStr	Identifying Factors Affecting Doctors to Adopt Internet-Based Healthcare Application Using Extended TAM
title_full_unstemmed	Identifying Factors Affecting Doctors to Adopt Internet-Based Healthcare Application Using Extended TAM
title_sort	identifying factors affecting doctors to adopt internet-based healthcare application using extended tam
granting_institution	Universiti Utara Malaysia
granting_department	Sekolah Siswazah
publishDate	2006
url	https://etd.uum.edu.my/1782/2/Abdul_Hakim_Moawia_Dreheeb-Identifying_factors_affecting_doctors_to_adopt_internet-based_healthcare_application_using_extended_TAM.pdf https://etd.uum.edu.my/1782/3/Abdul_Hakim_Moawia_Dreheeb-Identifying_factors_affecting_doctors_to_adopt_internet-based_healthcare_application_using_extended_TAM.pdf
_version_	1747827204413194240
spelling	my-uum-etd.17822013-07-24T12:13:08Z Identifying Factors Affecting Doctors to Adopt Internet-Based Healthcare Application Using Extended TAM 2006-10 Dreheeb, Abdul Hakim Moawia Sekolah Siswazah Graduate Study Centre TK5101-6720 Telecommunication Technology Acceptance Model (TAM) has been developed to explain user acceptance of new information technologies. The objective of this study is to identify factors that affect doctors' adoption of and the reasons of not adopting the internet-based healthcare applications. A survey was carried out that involved 300 doctors in the Alor Setar General Hospital (ASGH) in Malaysia, in order to see whether TAM fits in the health field. In addition, they survey was done to identifying factors affecting doctors in adopting the internet-based healthcare application. The core perception variables are perceived ease of use, perceived usefulness, and perceived behavior include, which include a strong determinant of intention to use. The factors identified in this research are (job relevance, output quality, result demonstrability, image, experience, subject norm, learn ability, screen design, self efficacy, support, training, and availability). From the survey, it were found that all factors have influence on doctors in adopting the internet-based healthcare application. This proved that extended TAM is important. In summary, the findings presented in the study suggest various reasons of why doctors do not adopt the internet based healthcare application in their work. Finally, some recommendations are made for the government in improving the internet-based application in the health field. 2006-10 Thesis https://etd.uum.edu.my/1782/ https://etd.uum.edu.my/1782/2/Abdul_Hakim_Moawia_Dreheeb-Identifying_factors_affecting_doctors_to_adopt_internet-based_healthcare_application_using_extended_TAM.pdf application/pdf eng validuser https://etd.uum.edu.my/1782/3/Abdul_Hakim_Moawia_Dreheeb-Identifying_factors_affecting_doctors_to_adopt_internet-based_healthcare_application_using_extended_TAM.pdf application/pdf eng public masters masters Universiti Utara Malaysia Al-Hawamdeh, S. & Tay-Yap, J. (2001). The Impact of the Internet on Healthcare in Singapore. Journal of Computer-Mediated Communication July 2001 Alrafi, A. (2005).Technology Acceptance Model. A. Ammenwerth, E., Iller, C. & Mahler, C. (2006). BMC Medical Informatics and Decision Making. http://creativecommons.o rg/licenses/by/2.0 Behrens, S. Jamieson, K., Jones, D. & Cranston, M. (2005). Predicting System Success using the Technology Acceptance Model. 16th Australasian Conference on Information Systems Predicting Success using TAM9 Nov - 2 Dec 2005, Sydney Chismar, W.G. & Wiley-Patton, S. (2002). Does the Extended Technology Acceptance Model Apply to Physicians. Proceedings of the 36th Hawaii International Conference on System Sciences Dahlberg, T., Mallat, N.,(2003). Trust Enhanced Technology Acceptance Model - Consumer Acceptance of Mobile Payment Solutions Dishaw, M. T. & Strong, D. M. (2002). Extending the task-technology fit model with self-efficacy constructs. Eighth Americas Conference on Information Systems Galletta, D. F., & Malhotra, Y. (1999). Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation. Proceedings of the 32nd Hawaii International Conference on System Sciences - 1999 Gardner, C., Arnoroso, D. (2004). Development of an Instrument to Measure the Acceptance of internet Technology by Consumers. Proceedings of the 37th Hawaii International Conference on System Sciences - 2004 Geady, D. M., Kujala, J ., & Ekroos, N . (2005). Effects of e-health on health care service production processes. International conference on the management of healthcare & medical technology 25-26 August, Aalborg Denmark. Lin, C., Hu, P., Schroeder,. H. & Chen, H. (2002). Examining User Acceptance of COPLINK Technologies by Law Enforcement. Stu& at the dg.02002 National Conference for Digital Government Research. Melissa, J. & Zhiping, D.(1999).Theory of User Acceptance of Information Technologies: An Examination of Health Care Professionals. Proceedings of the 32nd Hawaii International Conference on System Sciences - 1999 Merican, I. (2006). "Start surfing, doctors told" New Straits Times Parekh, S.G., Lim, C. K., JR, R. E., & Nazarian, D.G. (2002). Influence of the Internet in an Orthopedic Practice. The University of Pennsylvania Orthopedic Journal Schaper, L. & Pervan, G. (2004). A Model of Information and Communication Technology Acceptance and Utilization by Occupational. Therapists. Decision Support in An Uncertain and Complex World: The IFP TC8/WG8.3 International Conference 2004 Sun, H., & Zhang, P. (2004). A Methodological Analysis of User Technology Acceptance. Proceedings of the 37th Hawaii International Conference on System Sciences-2004 Sun, H., & Zhang, P. (2006). The role of moderating factors in user technology acceptance.Int. J. Human-Computer Studies 64 (2006) 53-78 The ACM Portal is published by the Association. Chicanery. Copyright (C) 2006 ACM, Inc. Wiley-Patton, S. & William G. C. (2002).Test of the Technology Acceptance Model for the Internet in Pediatrics. Proceedings of the AMIA 2002 Annual Symposium William, M. (2004). Application of technology acceptance model to a Knowledge Management system. Proceedings of the 37th Hawaii International Conference on System Sciences

Identifying Factors Affecting Doctors to Adopt Internet-Based Healthcare Application Using Extended TAM

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