Volume 4, Issue 1 (1-2019)                   hrjbaq 2019, 4(1): 9-15 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Motallebzadeh B, Peikari H R, Sadeghi M. Evaluating the Factors Influencing the Acceptance of Electronic Health-Services among Social Security Insurance Staff. hrjbaq. 2019; 4 (1) :9-15
URL: http://hrjbaq.ir/article-1-283-en.html
Department of Management, Khorasgan Branch of Islamic Azad University, Isfahan, Iran , omid726@yahoo.com
Abstract:   (246 Views)

Introduction:Nowadays, although many health care organizations use electronic health-services, it seems that these services are not accepted to the extent of which were expected by the staff. So the present study evaluated the impact of factors influencing the acceptance of electronic health-services in the social security insurance using Technology Acceptance Model.
Materials and Methods: This study was correlational-descriptive. The population was all health care staff of social insurance organization in Isfahan/Iran. The data collecting tools were involved of 5 verified questionnaires. Using Cochran’s sample size formula; 234 people were enrolled in this study. Finally, data analyzed using structural equations modeling technique, in SmartPLS software.
Results: There were significant relationships between system factors and perceived usefulness, system factors and perceived ease of use, perceived ease of use and perceived usefulness, perceived usefulness and attitude toward using, perceived ease of use and attitude toward using, perceived usefulness and behavioral intention to use, attitude toward using and behavioral intention to use.
Conclusion: It seems to be crucial to evaluate the factors influencing the acceptance of electronic health-services based on standard models such as Information Technology Acceptance, to have a better utilization of these services.

Full-Text [PDF 426 kb]   (25 Downloads)    
Type of Study: Research | Subject: Special
Received: 2018/11/12 | Revised: 2019/03/24 | Accepted: 2019/01/1 | ePublished ahead of print: 2019/01/1 | Published: 2019/03/2

1. Legziyan M, Mortazavi S, Rajab Zadeh M. [Effect of effective factors on the acceptance of e-government services by users using the UTAUT model]. Magazine Management and Development Process 2012;87:1-18.
2. Saeidi Kiya M, Eskandar Pour K. Electronic services. 1th ed. Tehran: Aha Publication; 2014
3. Wayne Taylor D. Facts, myths and monsters: understanding the principles of good governance. Inter J Public Sector Manage. 2000;13(2):108-24.
4. Heeks R. Government for development information exchange 2008 [updated Last accessed 5 Nov 2016]. Available from: http://www.egov4dev.org/success/ sfrates.shtml.
5. Bahram Zadeh M, Jafar Poor M. [Acceptance of information technology and user behavior]. 1th ed. Tehran: Pelk Publication; 2011.
6. Johnson AM, editor The technology acceptance model and the decision to invest in information security. Southern Association of Information Systems Conference; 2005.
7. Ifinedo P. Examining students' intention to continue using blogs for learning: Perspectives from technology acceptance, motivational, and social-cognitive frameworks. Computers in Human Behavior. 2017;72:189-99.
8. Vali Zadeh M. Factors affecting the acceptance of non-public bill payments by citizens. First International Management Conference, Economics, Accounting, and Educational Sciences; Sari2015
9. Godakhteh S, Maghool A. Investigating the Factors Affecting the Acceptance of Electronic Insurance Based on the Davis Technology Acceptance Model (Case Study: Insurance Representatives of Khorasan Razavi). . The 2nd International Conference on Advanced Research in Management, Economics and Accounting; Kuala Lumpur-Malaysia2015
10. Salemi Z, Haji Pour B, Nadaf M, Mohammadi J. Effect of technology acceptance factors on user satisfaction from e-government services. International Conference on Management, Economics and Industrial Engineering; Tehran, Iran2015
11. Pour Bagheri M, KhatibZadeh M. Investigating the Factors Affecting the Reception of the Electronic Services of Governmental Counters Offices as a Service Channel in Mashhad. Twenty-ninth International Power Conference; Tehran, Iran2015.
12. Bataineh E, Al Mutawa S. An Analysis Study of Factors That Determine E-Services Usage by End Users: A Case Study. Journal of e-Government Studies and Best Practices. 2016;2016:1-15.
13. Alsamydai MJ. Adaptation of the technology acceptance model (TAM) to the use of mobile banking services. International Review of Management and Business Research. 2014;3(4):2039.
14. Al-Smadi MO. Factors affecting adoption of electronic banking: An analysis of the perspectives of banks' customers. International Journal of Business and Social Science. 2012;3(17).
15. Bemanian M, Salari MM, Ghofrani S, Bemanian R. Evaluation of factors affecting acceptance of City Electronic Services Combination of information technology acceptance model (TAM) and theory of planned behavior (TPB) and Trust (Case Study: Electronics offices in Tehran). Urban Management 2012;29:131 - 50.
16. Alipour H, Nazari Z, Mohammadi A. Factors Affecting Customer's Use of Electronic Services Case Study: National Bank of Ardebil Province. National Conference on Accounting and Management 2013.
17. Najari R, Sarlak MA, Hozori M, Ahangari J. Investigating the Impact of Employees' Attitude on the Use of E-Government in the Tax Affairs Organization. Public Management Research 2016;9(32):25-45.
18. Faraji Marjanloo M. Factors Affecting Technology Acceptance in the Development of e-Government Services (Case Study: Tax Administration). . International Conference on New Directions in Management, Economics and Accounting; Tabriz, Iran2015.
19. Behrad A. The study of the factors affecting the adoption of electronic tax on the basis of integration of the theory of acceptance theory and the theory of planned behavior in the Tax Administration of Shahrekord. Tax Revenue Research 2015;27(75):193-67.
20. Baradaran V. Factors Affecting Internet Banking by Legal Persons Based on Developing Technology Acceptance Model New Economy Bank. 2015;3(1):99-122.
21. Gohari Kahoo M. Factors Affecting Demand for Banking Services by Using Davis's Extended Technology Acceptance Model North Khorasan Province: Allameh Tabataba'i University; 2015
22. Alipour H, Nazari Z, Mohammadi A. Factors Affecting Customer's Use of Electronic Services Case Study: National Bank of Ardebil Province. National Conference on Accounting and Management; Tehran, Iran2015
23. Salari F. Evaluating the Effective Factors in the Acceptance of Electronic Services by Stationary Subscribers Using the Technology Acceptance Model Payame Noor University of Tehran; 2010
24. Muhammad Z, Lallmahomed A, Lallmahomed BG, Lallmahomed M. Factors influencing the adoption of e-Government Services in Mauritius. Telematics and Informatics. 2017;34(4):57-72.
25. AL-Saraireh J, Alnabhan M. Factors Analysis for E-Services Adoption in Jordan: A Technology Acceptance Study. Modern Applied Science. 2014;8(3):192.
26. Yuan Hung S, Chang C-M, KuoSh R. User acceptance of mobile e-government services: An empirical study. Government Information Quarterly. 2013;30(1):33-44.
27. Suki N, Ramayah T. User acceptance of the e-government services in Malaysia: structural equation modelling approach. Interdisciplinary Journal of Information, Knowledge and Management. 2010;5:395-414.
28. Sanayei A, Khazaei Pool J, Jafari S, Balouei Jamkhaneh H. Analyzing of Factors that Affect the Acceptance of Telemedicine with Combination of Technology Adoption and Theory of Planned Behavior Models Health Inf Manage 2013;10(4):580.

Add your comments about this article : Your username or Email:

Send email to the article author

© 2019 All Rights Reserved | Health Research Journal

Designed & Developed by : Yektaweb