Interdisciplinary Journal of Virtual Learning in Medical Sciences

Published by: Kowsar

Psychological and Job Factors Influencing the Intention to Use Information and Communication Technology Among Teachers

Mohammad Hassan Seif 1 , Soghra Zarei 2 , * , Saeed Talebi 1 and Ahmad Rastegar 1
Authors Information
1 Doctor of Educational Planning (Distance), Assistant Professor, Payame Noor University, Tehran, IR Iran
2 Master of Educational Research, Department of Education, Payame Noor University, Tehran, IR Iran
Article information
  • Interdisciplinary Journal of Virtual Learning in Medical Sciences: September 2015, 7 (3); e12175
  • Published Online: September 30, 2015
  • Article Type: Research Article
  • Received: October 9, 2015
  • Revised: September 5, 2016
  • Accepted: September 30, 2016
  • DOI: 10.5812/ijvlms.12175

To Cite: Seif M H, Zarei S, Talebi S, Rastegar A. Psychological and Job Factors Influencing the Intention to Use Information and Communication Technology Among Teachers, Interdiscip J Virtual Learn Med Sci. 2015 ; 7(3):e12175. doi: 10.5812/ijvlms.12175.

Copyright © 2015, Interdisciplinary Journal of Virtual Learning in Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License ( which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.
1. Introduction
2. Methods
3. Results
4. Discussion and Conclusions
  • 1. Taghvayi S, Zahmatkesh N. Information Technology in Europe. 2005;
  • 2. Maleki S. IT in education. 2009;
  • 3. Ayati M, Rostami M. Using secondary and high school teachers of basic sciences of information and communication technology. Educ Technol. 2011; 6(2): 127-34
  • 4. Buntat Y, Saud MS, Dahar A, Arifin KS, Zaid YH. Computer technology application and vocational education: A review of literature and research. Eur J Soc Sci. 2010; 14(4): 645-51
  • 5. Md Yunus M. Malaysian ESL teachers’ use of ICT in their classrooms: expectations and realities. ReCALL. 2007; 19(1): 79[DOI]
  • 6. Davis FD. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Q. 1989; 13(3): 319[DOI]
  • 7. Alam SM. Evaluating the post-Intranet usage: empirical study in Malaysian port industry. Aust J Basic Appl Sci. 2011; 5(7): 336-45
  • 8. Davis FD, Bagozzi RP, Warshaw PR. User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Manag Sci. 1989; 35(8): 982-1003[DOI]
  • 9. Klopping IM, McKinney E. Extending the technology acceptance model and the task-technology fit model to consumer e-commerce. Inf Technol Learn Performance J. 2004; 22(1): 35
  • 10. Goodhue DL, Thompson RL. Task-Technology Fit and Individual Performance. MIS Q. 1995; 19(2): 213[DOI]
  • 11. Fishbein M, Ajzen I. Belief, attitude, intention, and behavior: An introduction to theory and research. 1977;
  • 12. Goodhue DL. Understanding User Evaluations of Information Systems. Manag Sci. 1995; 41(12): 1827-44[DOI]
  • 13. Abbasi MS, Irani Z, Chandio FH. Determinants of social and institutional beliefs about internet acceptance within developing country’s context: A structural evaluation of higher education systems in Pakistan. 2010;
  • 14. Usoro A, Shoyelu S, Kuofie M. Task-technology fit and technology acceptance models applicability to e-tourism. J Econ Dev Manag IT Finance and Market. 2010; 2(1): 1
  • 15. Chao CM, Ma CM, Cheng BW. Integrating Technology Acceptance Model and Task-technology Fit into Blended E-learning System. J Appl Sci. 2013; 13(5): 736-42[DOI]
  • 16. Siang JJ, Santoso HB. Students'perspective of learning management system: An empirical evidence of technology acceptance model in emerging countries. Res World. 2015; 6(2): 1
  • 17. Ajjan H, Hartshorne R. Investigating faculty decisions to adopt Web 2.0 technologies: Theory and empirical tests. Internet High Educ. 2008; 11(2): 71-80[DOI]
  • 18. Vatanasakdakul S, D'Ambra J, Ramburuth P. IT Doesn't Fit! The Influence of Culture on B2B in Thailand. J Glob Inf Technol Manag. 2014; 13(3): 10-38[DOI]
  • 19. Hsu CL, Lu HP. Why do people play on-line games? An extended TAM with social influences and flow experience. Inf Manag. 2004; 41(7): 853-68[DOI]
  • 20. Kim BG, Park SC, Lee KJ. A structural equation modeling of the Internet acceptance in Korea. Electron Commerce Res Applic. 2007; 6(4): 425-32[DOI]
  • 21. Sarmiento PMC. The Study on Behavioral Intention of Use towards a Clinical Decision Support Systems: A Casa in CNS La Paz- Bolivia. 2009;
  • 22. Andrews L, Drennan J, Tossan V, Cacho-Elizondo S. Using TAM to examine consumer acceptance of a mobile phone assisted smoking cessation program in Australia. 2010;
  • 23. Ozer G, Yilmaz E. Comparison of the theory of reasoned action and the theory of planned behavior: An application on accountants’ information technology usage. Afr J Business Manag. 2010; 5(1): 50-8
  • 24. Khorasani A, Abdul-Maleki J, Zahedi H. Factors affecting the adoption of e-learning in students of Tehran University of Medical Sciences Based on Technology Acceptance Model. Med Educ. 2011; 6(11): 664-73
  • 25. Macharia J, Nyakwende E. The Influence of E-mail on Students’ Learning in Higher Education: An Extension to the Technology Acceptance Model (TAM). Asian J Inf Technol. 2010; 9(3): 123-32[DOI]
  • 26. Mobile G-Portal supporting collaborative sharing and learning in geography fieldwork: an empirical study. Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries. : 462-71
  • 27. Sharma SK, Chandel JK. Technology acceptance model for the use of learning through websites among students in Oman.
  • 28. Wu W, Chang HP, Guo CJ. An empirical assessment of science teachers' intentions toward technology integration. J Comput Math Sci Teach. 2008; 27(4): 499
  • 29. Yuen AHK, Ma WWK. Exploring teacher acceptance of e‐learning technology. Asia Pac J Teach Educ. 2008; 36(3): 229-43
  • 30. Kirmizi O. Measuring Technology Acceptance level of Turkish pre-service English teachers by using technology acceptance Model. Educ Res Rev. 2014; 9(23): 1323
  • 31. Khalifa M, Ning Shen K. Explaining the adoption of transactional B2C mobile commerce. J Enterprise Inf Manag. 2008; 21(2): 110-24[DOI]
  • 32. Thompson II T. Assessing the determinants of information technology adoption in Jamaica's public sector using the technology acceptance model. 2010;
  • 33. Tu TT, Chiu YH. Investigation of the factors influencing the acceptance of electronic cash stored-value cards. Afr J Business Manag. 2011; 5(1): 108
  • 34. Karaali D, Gumussoy CA, Calisir F. Factors affecting the intention to use a web-based learning system among blue-collar workers in the automotive industry. Comput Human Behav. 2011; 27(1): 343-54[DOI]
  • 35. Rose J, Fogarty G. Determinants of perceived usefulness and perceived ease of use in the technology acceptance model: senior consumers' adoption of self-service banking technologies. Acad World Business Market Manag Dev. 2006; 2(10): 122-9
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