Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors

Computers in Human Behavior

Volumn 56, Issue , 2016, Pages 238-256

  Abdullah, Fazil ^a   Ward, Rupert ^a  

^a UNIVERSITY OF HUDDERSFIELD   (United Kingdom)

Author keywords

E Learning; External factor; Learning technology; Perceived ease of use; Perceived usefulness; Technology acceptance model

Indexed keywords

E-LEARNING; LEARNING SYSTEMS;

EXTERNAL FACTORS; LEARNING TECHNOLOGY; PERCEIVED EASE OF USE; PERCEIVED USEFULNESS; TECHNOLOGY ACCEPTANCE MODEL;

ENGINEERING EDUCATION;

ADOPTION; ANXIETY; EFFECT SIZE; HUMAN; LEARNING; META ANALYSIS; MODEL; QUANTITATIVE STUDY; SELF CONCEPT; STUDENT;

EID: 84949575529     PISSN: 07475632     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chb.2015.11.036     Document Type: Article

References (142)

1. M.M. Abbad, D. Morris, and C. de Nahlik Looking under the Bonnet: factors affecting student adoption of E-learning systems in Jordan International Review of Research in Open and Distance Learning 10 2 2009 1 25 Retrieved from https://library3.hud.ac.uk/summon/
2. A.G. Abdel-Wahab Modeling students' intention to adopt e-learning: a case from Egypt The Electronic Journal of Information System in Developing Countries 34 1 2008 1 13
3. Á.F. Agudo-Peregrina, Á. Hernández-García, and F.J. Pascual-Miguel Behavioral intention, use behavior and the acceptance of electronic learning systems: differences between higher education and lifelong learning Computers in Human Behavior 2013 1 14 10.1016/j.chb.2013.10.035
4. B.A. Al-alak, and I.A.M. Alnawas Measuring the acceptance and adoption of E-learning by academic staff Knowledge Management & E-Learning: An International Journal 3 2 2011 201 221 Retrieved from https://library3.hud.ac.uk/summon/
5. J. Al-Ammari, and S. Hamad Second international conference and exhibition for Zain e-learning Center, 28-30 2008 Factors influencing the adoption of e-learning at University of Bahrain Retrieved from https://uqu.edu.sa/files2/tiny-mce/plugins/filemanager/files/30/papers/f82.pdf
6. J.H. Al-Ammary, A.K. Al-Sherooqi, and H.K. Al-Sherooqi.The acceptance of social networking as a learning tools at University of Bahrain International Journal of Information and Education Technology 4 2 2014 208 214 10.7763/IJIET 2014.V4.400
7. A. Al-Aulamie, A. Mansour, H. Daly, and O. Adjei The effect of intrinsic motivation on learners' behavioural intention to use e-learning systems International conference on information technology based higher education and training (ITHET) IEEE, 1-4 2012 Retrieved from https://library3.hud.ac.uk/summon/
8. S.S. Al-Gahtani Empirical investigation of e-learning acceptance and assimilation: a structural equation model Applied Computing and Informatics 2014 10.1016/j.aci.2014.09.001
9. N.F.A. Al-Mushasha Determinants of e-learning acceptance in higher education environment based on extended technology acceptance model Fourth international conference on e-learning best practices in management, design and development of e-courses: Standards of excellence and creativity 2013 261 266 10.1109/ECONF 2013.50
10. A.R. Alenezi E-learning acceptance: technological key factors for the successful students' engagement in E-learning system EEE'12 -The 2012 International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government 2012 16 19 Retrieved from http://world-comp.org/p2012/EEE4759.pdf
11. A.R. Alenezi, A.M. Abdul Karim, and A. Veloo An empirical investigation into the role of enjoyment, computer anxiety, computer self-efficacy and internet experience in influencing the students' intention to use E-learning: a case study from Saudi Arabian Governmental Universities The Turkish Online Journal of Educational Technology 9 4 2010 22 34 Retrieved from https://library3.hud.ac.uk/summon/
12. A.R. Alenezi, A.M.A. Karim, and A. Veloo Institutional support and E-Learning acceptance: an extension of the technology acceptance model International Journal of Instructional Technology and Distance Learning 8 2 2011 3 16 Retrieved from http://www.itdl.org/Journal/Feb-11/article01.htm
13. H. Ali, A.A. Ahmed, T.G. Tariq, and H. Safdar Second life (SL) in education: the intensions to use at university of bahrain Fourth International Conference on e-Learning "Best Practices in Management, Design and Development of e-Courses: Standards of Excellence and Creativity" IEEE 2013 205 215 10.1109/ECONF 2013.81
14. J. Arenas-Gaitan, F.J. Rondan-Cataluna, and P. Ramirez-Correa.Gender influence in perception and adoption of e-learning platforms Advances in Data Networks, Communications, Computers 2010 30 35 Retrieved from http://www.wseas.us/e-library/conferences/2010/Faro/DNCOCO/DNCOCO-04.pdf
15. A. Aypay, H.C. Çelik, A. Aypay, and M. Sever Technology acceptance in education: a study of pre-service teachers in Turkey Turkish Online Journal of Educational Technology 11 4 2012 264 272
16. A. Bandura Self-Efficacy mechanism in human agency American Psychologist 37 1982 12 147
17. N. Banerjee, and A.K. Dey Identifying the factors influencing users' adoption of social networking websites-A study on facebook International Journal of Marketing Studies 5 6 2013 109 10.5539/ijms.v5n6p109
18. V. Bhatiasevi Acceptance of e-learning for users in higher education: an extension of the technology acceptance model The Social Sciences 6 6 2011 513 520 10.3923/sscience.2011.513.520
19. I.T.J. Brown, R.J. Stothers, S.R. Thorp, and L.T. Ingram The role of learning styles in the acceptance of web-based learning tools 36th Annual Conference of the Southern African Computer Lecturers Association SACLA2006, 1(1) 2006 189 200 Retrieved from http://www.sacla.org.za/sacla2006/papers/WP02%20Irwin%20Brown%20Learning%20Styles.pdf
20. F. Calisir, C. AltinGumussoy, A.E. Bayraktaroglu, and D. Karaali Predicting the intention to use a web-based learning system: perceived content quality, anxiety, perceived system quality, image, and the technology acceptance model Human Factors and Ergonomics in Manufacturing & Service Industries 24 5 2014 515 531 10.1002/hfm.20548
21. C.C. Chang, C.F. Yan, and J.S. Tseng Perceived convenience in an extended technology acceptance model: Mobile technology and English learning for college students Australasian Journal of Educational Technology 28 5 2012 809 826 Retrieved from http://www.ascilite.org.au/ajet/ajet28/chang-cc.html
22. Y. Chen, C. Chen, Y. Lin, and R. Yeh Predicting college student' use of e-learning systems: an attempt to extend technology acceptance model Pacific Asia conference on information systems 2007 172 183 Retrieved from http://www.pacis-net.org/file/2007/1295.pdf
23. Y. Cheng Antecedents and consequences of e-learning acceptance Information Systems Journal 21 3 2011 269 299 Retrieved from https://library3.hud.ac.uk/summon/
24. Y. Cheng Effects of quality antecedents on e-learning acceptance Internet Research 22 3 2012 361 390 Retrieved from https://library3.hud.ac.uk/summon/
25. Y. Cheng Exploring the roles of interaction and flow in explaining nurses' e-learning acceptance Nurse Education Today 33 1 2013 73 80 Retrieved from https://library3.hud.ac.uk/summon/
26. Y. Chen, Y. Lin, R. Yeh, and S. Lou Examining factors affecting college students' intention to use web-based instruction systems: towards an integrated model Turkish Online Journal of Educational Technology-TOJET 12 2 2013 111 121 Retrieved from https://library3.hud.ac.uk/summon/
27. H. Chen, and H. Tseng Factors that influence acceptance of web-based e-learning systems for the in-service education of junior high school teachers in Taiwan Evaluation and Program Planning 35 3 2012 398 406 Retrieved from https://library3.hud.ac.uk/summon/
28. R. Cheung, and D. Vogel Predicting user acceptance of collaborative technologies: an extension of the technology acceptance model for E-learning Computers & Education 63 2013 160 175 Retrieved from https://library3.hud.ac.uk/summon/
29. V. Cho, T.C.E. Cheng, and W.M.J. Lai The role of perceived user-interface design in continued usage intention of self-paced e-learning tools Computers & Education 53 2 2009 216 227 Retrieved from https://library3.hud.ac.uk/summon/
30. M. Chow, D.K. Herold, T. Choo, and K. Chan Extending the technology acceptance model to explore the intention to use second life for enhancing healthcare education Computers & Education 59 4 2012 1136 1144 Retrieved from https://library3.hud.ac.uk/summon/
31. J. Cohen A power primer Psychological bulletin 112 1 1992 155 159 10.1037/0033-2909.112.1.155
32. D.R. Compeau, and C.A. Higgins Computer self-efficacy: development of a measure and initial test MIS Quart. 19 2 1995 189 211
33. F.D. Davis A technology acceptance model for empirically testing new end-user information systems: Theory and result (Published PhD thesis) 1986 Sloan School of Management. Massachusetts Institute of Technology Retrieved from http://dspace.mit.edu/handle/1721.1/15192
34. F.D. Davis Perceived usefulness, perceived ease of use and user acceptance of information technology MISQuarterly 13 1989 319 339
35. F.D. Davis, R.P. Bagozzi, and P.R. Warshaw User acceptance of computer technology: a comparison of two theoretical models Management Science 35 1989 982 1003
36. C. De Smet, J. Bourgonjon, B. De Wever, T. Schellens, and M. Valcke Researching instructional use and the technology acceptation of learning management systems by secondary school teachers Computers & Education 58 2 2012 688 Retrieved from https://library3.hud.ac.uk/summon/
37. Y. Deshpande, S. Bhattacharya, and P. Yammiyavar A behavioral approach to modeling indian children's ability of adopting to e-learning environment IEEE proceedings of 4th international conference on intelligent human computer interaction 2012 1 7 10.1109/IHCI 2012.6481776
38. D.J. Emmett Student engagement with an ePortfolio: A case study of pre-service education students (Published PhD thesis) 2011 The Queensland University of Technology Retrieved from http://eprints.qut.edu.au/40957/1/David-Emmett-Thesis.pdf
39. E. Engelbrecht Adapting to changing expectations: Post-graduate students' experience of an e-learning tax program Computers & Education 45 2 2005 217 229 10.1016/j.compedu.2004.08.001
40. T. Escobar-Rodriguez, and P. Monge-Lozano The acceptance of moodle technology by business administration students Computers & Education 58 4 2012 1085 1093 10.1016/j.compedu.2011.11.012
41. O.G. Fadare, O.H. Babatunde, D.T. Akomolafe, and O.O. Lawal Behavioral intention for mobile learning on 3G mobile internet technology in south-west part of Nigeria World Journal of Engineering and Pure & Applied Sciences 1 2 2011 19 28 Retrieved from http://rrpjournals.org/wjepas/en-wjepas-vol-1-iss-2-pg-19-28.11:58 PM 12/16/2015-pg-19-28.
42. T. Farahat Applying the technology acceptance model to online learning in the Egyptian Universities Social and Behavioral Sciences 64 2012 95 104 10.1016/j.sbspro.2012.11.012
43. M. Fishbein, and I. Ajzen Belief, attitude, intention, and behavior: An introduction to theory and research 1975 Addison-Wesley Reading, MA
44. J. Hashim Factors influencing the acceptance of web-based training in Malaysia: applying the technology acceptance model International Journal of Training and Development 12 4 2008 253 264
45. D. Hayati, and S.A. Hashemy Communication technologies and virtual learning environment (VLE) in teaching literature International Journal of Innovation, Management and Technology 4 2 2013 181 10.7763/IJIMT 2013.V4.387
46. D. Hei, and L. Hu A study of factors that influence mobile devices' adoption in language learning based on an extended model of TAM in China Higher Education 10th world conference on mobile and contextual learning 2011 259 269 Retrieved from http://mlearn.bnu.edu.cn/source/Conference-Procedings.pdf
47. A.N. Hidayanto, D. Febriawan, Y.G. Sucahyo, and B. Purwandari Factors influencing the use of E-Class Journal of Industrial and Intelligent Information 2 2 2014 121 125 10.12720/jiii.2.2.121-125
48. S.A. Hosseini, S.M. Bathaei, and S. Mohammadzadeh Does self-efficacy effect on knowledge sharing intention in e-learning system? A motivational factor analysis in open university malaysia (oum) Kuwait Chapter of the Arabian Journal of Business and Management Review 3 11 2014 35 46 Retrieved from https://library3.hud.ac.uk/summon/
49. J. Hsia, C. Chang, and A. Tseng Effects of individuals' locus of control and computer Self-Efficacy on their e-learning acceptance in high-tech companies Behaviour & Information Technology 33 1 2014 51 64 10.1080/0144929X.2012.702284
50. J. Hsia, and A. Tseng An enhanced technology acceptance model for E-learning systems in high-tech companies in Taiwan: analyzed by structural equation modeling International conference on cyberworlds 2008 39 44 10.1109/CW 2008.46
51. H.H. Hsu, and Y.Y. Chang Extended TAM Model: Impacts of convenience on acceptance and use of moodle. Online submission Vol. 3(4) 2013 211 218 Retrieved from https://library3.hud.ac.uk/summon/
52. R. Hussein, U. Aditiawarman, and N. Mohamed E-Learning acceptance in a developing country: A case of the Indonesian Open University German e-Science conference 2007 Retrieved from http://pubman.mpdl.mpg.de/pubman/item/escidoc:1786666:1/component/escidoc:1786665/GES-paper90.pdf
53. P. Ifinedo Acceptance and continuance intention of web-based learning technologies (WLT) use among university students in a Baltic Country The Electronic Journal of Information Systems in Developing Countries 23 6 2006 1 20 Retrieved from www.ejisdc.org
54. M. Igbaria, and J. Iivari.The effects of Self-Efficacy on computer usage Omega 23 6 1995 587 605 10.1016/0305-0483(95)00035-6
55. M. Igbaria, and S. Parasuraman A path analytic study of individual characteristics, computer anxiety and attitudes toward microcomputers Journal of Management 15 3 1989 373 388 10.1177/014920638901500302
56. M.A. Imtiaz, and M.T. Mirhashemi Analyzing trends in technology acceptance studies in education domain International conference on current trends in information technology (CTIT) 2013 IEEE 23 27 10.1109/CTIT 2013.6749472
57. A.U. Jan, and V. Contreras.Technology acceptance model for the use of information technology in universities Computers in Human Behavior 27 2 2011 845 851 Retrieved from https://library3.hud.ac.uk/summon/
58. D. Karaali, C.A. Gumussoy, and F. Calisir Factors affecting the intention to use a web-based learning system among blue-collar workers in the automotive industry Computers in Human Behavior 27 1 2011 343 354 Retrieved from https://library3.hud.ac.uk/summon/
59. W.R. King, and J. He A meta-analysis of the technology acceptance model Information& Management 43 6 2006 740 755
60. C. Lai, Q. Wang, and J. Lei What factors predict undergraduate students' use of technology for learning? A case from Hong Kong Computers & Education 59 2 2012 569 579 10.1016/j.compedu.2012.03.006
61. S. Lau, and P.C. Woods An empirical study of learning object acceptance in multimedia learning environment Communications of the IBIMA 5 1 2008 1 6 Retrieved from https://library3.hud.ac.uk/summon/
62. Y. Lee An empirical investigation into factors influencing the adoption of an e-learning system Online Information Review 30 5 2006 517 541 10.1108/14684520610706406
63. Y. Lee The role of perceived resources in online learning adoption Computers & Education 50 4 2008 1423 1438 Retrieved from https://library3.hud.ac.uk/summon/
64. M.K.O. Lee, C.M.K. Cheung, and Z. Chen Acceptance of internet-based learning medium: the role of extrinsic and intrinsic motivation Information & Management 42 8 2005 1095 1104 Retrieved from https://library3.hud.ac.uk/summon/
65. Y.H. Lee, C. Hsiao, and S.H. Purnomo.An empirical examination of individual and system characteristics on enhancing e-learning acceptance Australasian Journal of Educational Technology 30 5 2014 561 579 Retrieved from http://ascilite.org.au/ajet/submission/index.php/AJET/article/view/381/1080
66. Y. Lee, Y. Hsieh, and Y. Chen An investigation of employees' use of e-learning systems: applying the technology acceptance model Behaviour and Information Technology 32 2 2013 173 189 Retrieved from https://library3.hud.ac.uk/summon/
67. Y. Lee, Y. Hsieh, and C. Ma A model of organizational employees' e-learning systems acceptance Knowledge-Based Systems 24 3 2011 355 366 Retrieved from https://library3.hud.ac.uk/summon/
68. I. Lee, B. Lee, and J. Yoon Learners' acceptance of e-learning in south korea: theories and results Computers & Education 53 4 2009 1320 1329 Retrieved from https://library3.hud.ac.uk/summon/
69. D.Y. Lee, and M.R. Lehto User acceptance of YouTube for procedural learning: an extension of the technology acceptance model Computers & Education 61 2013 193 208 Retrieved from https://library3.hud.ac.uk/summon/
70. V. Lefievre Gender differences in acceptance by students of training software for office tools Athens: ATINER'S conference paper series, No: EDU2012-0138 2012 Retrieved from http://www.atiner.gr/papers/EDU2012-0138.pdf
71. P. Legris, J. Ingham, and P. Collerette Why do people use information technology? A critical review of the technology acceptance model Information & Management 40 3 2003 191 204 10.1016/S0378-7206(01)00143-4
72. Y. Lin, Y. Chen, and R.C. Yeh Understanding college students' continuing intentions to use multimedia e-learning systems World Transactions on Engineering and Technology Education 8 4 2010 488 493 Retrieved from http://www.wiete.com.au/journals/WTE&TE/Pages/Vol. 8,%20No.4%20(2010)/14-20-Lin-Y-C.pdf
73. S. Lin, S.F. Persada, and R. Nadlifatin A study of student behavior in accepting the blackboard learning system: a technology acceptance model (TAM) approach IEEE 18th international conference on computer supported cooperative work in design 2014 457 462 10.1109/CSCWD 2014.6846888
74. X. Liu Empirical testing of a theoretical extension of the technology acceptance model: an exploratory study of educational wikis Communication Education 59 1 2010 52 69 10.1080/03634520903431745
75. I.F. Liu, M.C. Chen, Y.S. Sun, D. Wible, and C.H. Kuo Extending the TAM model to explore the factors that affect intention to use an online learning Community Computers& Education 54 2 2010 600 610
76. S. Liu, H. Liao, and J.A. Pratt.Impact of media richness and flow on e-learning technology acceptance Computers & Education 52 3 2009 599 607 Retrieved from https://library3.hud.ac.uk/summon/
77. Y. Liu, H. Li, and C. Carlsson Factors driving the adoption of m-learning: an empirical study Computers & Education 55 3 2010 1211 1219 Retrieved from https://library3.hud.ac.uk/summon/
78. C. Lleras Path analysis Encyclopedia of Social Measurement 3 2005 25 30 Retrieved from http://hcd.illinois.edu/people/faculty/lleras-christy/publications/Path-Analysis.pdf
79. C. Ma, C. Chao, and B. Cheng Integrating technology acceptance model and task-technology fit into blended E-learning system Journal of Applied Sciences 13 5 2013 736 742 10.3923/jas.2013.736.742
80. J. Macharia, and E. Nyakwende Factors affecting the adoption and diffusion of internet in higher educational institutions in Kenya. Journal of Language Technology & Entrepreneurship in Africa 1 2 2009 6 23 Retrieved from http://www.ajol.info/index.php/jolte/article/view/41754
81. R.G. Martin Factors affecting the usefulness of social networking in e-learning at German university of technology in Oman International Journal of e-Education, e-Business, e-Management and e-Learning 2 6 2012 498 502 10.7763/IJEEEE 2012.V2.171
82. M.R. Martinez-Torres, S.L.T. Marin, F.B. Garcia, S.G. Vazquez, M.A. Oliva, and T. Torres A technological acceptance of e-learning tools used in practical and laboratory teaching, according to the European higher education area Behaviour & Information Technology 27 6 2008 495 505 10.1080/01449290600958965
83. K. Mathieson Predicting user intentions: comparing the technology acceptance model with the theory of planned behaviour Information Systems Research 2 3 1991 173 191
84. A.H. Moghadam, and S. Bairamzadeh Extending the technology acceptance model for E-learning: a case study of Iran The sixth international conference on information technology: new generations 2009 1659 1660 10.1109/ITNG 2009.152
85. N. Mohamed, and S.N. Abdul Karim Open source e-learning anxiety, self-efficacy and acceptance - a partial least square approach International Journal of Mathematics and Computers in Simulation 4 6 2012 361 368 Retrieved from http://naun.org/main/NAUN/mcs/16-364.pdf
86. H. Motaghian, A. Hassanzadeh, and D.K. Moghadam Factors affecting university instructors' adoption of web-based learning systems: case study of Iran Computers & Education 61 2013 158 167 Retrieved from https://library3.hud.ac.uk/summon/
87. E.W.T. Ngai, J.K.L. Poon, and Y.H.C. Chan Empirical examination of the adoption of WebCT using TAM Computers and Education 48 2 2007 250 267 Retrieved from https://library3.hud.ac.uk/summon/
88. S. Okazaki, and L. Renda dos Santos Understanding e-learning adoption in Brazil: Major determinants and gender effects The International Review Of Research In Open And Distance Learning, 13(4) 2012 91 106 Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/1266/2339
89. A. Padilla-Melendez, A.R.D. Aguila-Obra, and A. Garrido-Moreno.Perceived playfulness, gender differences and technology acceptance model in a blended learning scenario Computers & Education 63 2013 306 317 Retrieved from https://library3.hud.ac.uk/summon/
90. A. Padilla-Meléndez, A. Garrido-Moreno, and A.R.D. Aguila-Obra Factors affecting e-collaboration technology use among management students Computers & Education 51 2 2008 609 623 Retrieved from https://library3.hud.ac.uk/summon/
91. M. Paechter, B. Maier, and D. Macher Students' expectations of, and experiences in e-learning: their relation to learning achievements and course satisfaction 2009 Computers & Education 54 1 2010 222 229 10.1016/j.compedu.2009.08.005
92. J. Pallant SPSS survival manual: A step by step guide to data analysis using SPSS for Windows (Version 12) 2nd ed. 2005 Allen & Unwin Australia
93. S.Y. Park An analysis of the technology acceptance model in understanding university students' behavioral intention to use e-learning Educational Technology & Society 12 3 2009 150 162 Retrieved from https://library3.hud.ac.uk/summon/
94. S.Y. Park, M.W. Nam, and S.B. Cha University students' behavioral intention to use mobile learning: evaluating the technology acceptance model British Journal of Educational Technology 43 4 2012 592 605 10.1111/j.1467-8535.2011.01229.x
95. Y. Park, H. Son, and C. Kim Investigating the determinants of construction professionals' acceptance of web-based training: an extension of the technology acceptance model Automation in Construction 22 2012 377 386 Retrieved from https://library3.hud.ac.uk/summon/
96. K.A. Pituch, and Y.K. Lee.The influence of system characteristics on e-learning use Computers & Education 47 2 2006 222 244 Retrieved from https://library3.hud.ac.uk/summon/
97. S. Poelmans, P. Wessa, K. Milis, E. Bloemen, and C. Doom Usability and acceptance of e-learning in statistics education, based on the compendium platform International conference of education, research and innovation (ICERI 2008) 2008 1 10 Retrieved from http://www.wessa.net/download/iceripaper1.pdf
98. W. Premchaiswadi, P. Porouhan, and N. Premchaiswadi An empirical study of the key success factors to adopt e-learning in Thailand International conference on information society (i-Society 2012) 2012 333 338 Retrieved from https://library3.hud.ac.uk/summon/
99. S.H. Purnomo, and Y. Lee E-learning adoption in the banking workplace in indonesia: an empirical study Information Development 29 2 2013 138 153 10.1177/0266666912448258 (Used a very good questionnaire)
100. F. Rejón-Guardia, J. Sánchez-Fernández, and F. Muñoz-Leiva The acceptance of microblogging in the learning process: the μBAM model Journal of Technology and Science Education 3 1 2013 31 47 Retrieved from https://library3.hud.ac.uk/summon/
101. M. Rezaei, H.M. Mohammadi, A. Asadi, and K. Kalantary Predicting e-learning application in agricultural higher education using technology acceptance model Turkish Online Journal of Distance Education-TOJDE 98 1 2008 85 95 Retrieved from http://files.eric.ed.gov/fulltext/ED499474.pdf
102. J.C. Roca, and M. Gagné Understanding e-learning continuance intention in the workplace: a self-determination theory perspective Computers in Human Behavior 24 4 2008 1585 1604 Retrieved from https://library3.hud.ac.uk/summon/
103. R.M. Ryan, and E.L. Deci Intrinsic and extrinsic motivations: classic definitions and new directions Contemporary Educational Psychology 25 2000 54 67
104. R.G. Saadé, and D. Kira.The emotional state of technology acceptance Issues in informing science and information technology 3 2006 529 539 Retrieved from http://proceedings.informingscience.org/InSITE2006/IISITSaad145.pdf
105. M.J. Sanchez-Franco WebCT - the quasi moderating effect of perceived affective quality on an extending technology acceptance model Computers & Education 54 1 2010 37 46
106. R.A. Sánchez, and A.D. Hueros Motivational factors that influence the acceptance of moodle using TAM Computers in Human Behavior 26 6 2010 1632 1640
107. J. Schepers, and M. Wetzels A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects Information & Management 44 1 2007 90 103 10.1016/j.im.2006.10.007
108. M.H. Seif, A. Rastegar, S.J.H. Ardakani, and M. Saeedikiya Factors influencing intention to use and application of web-based learning among students of Shiraz Payame Noor university (Providing a path analysis model) Journal of Basic and Applied Scientific Research 3 2 2013 848 852 Retrieved from www.textroad.com
109. G.U.D. Shah, M.N. Bhatti, M. Iftikhar, M.I. Qureshi, and K. Zaman.Implementation of technology acceptance model in e-learning environment in rural and urban areas of Pakistan World Applied Sciences Journal 27 11 2013 1495 1507 10.5829/idosi.wasj.2013.27.11.1787
110. S.A.M. Shah, N. Iqbal, S.Y. Janjua, and S. Amjad Employee behavior towards adoption of e-learning courses: validating technology acceptance model Mediterranean Journal of Social Sciences MCSER Publishing, Rome-Italy 4 14 2013 765 774 10.5901/mjss.2013.v4n14p765
111. S.K. Sharma, and J. Chandel Technology acceptance model for the use of learning through websites among students in Oman International Arab Journal of Information Technology 3 1 2013 44 49 Retrieved from http://www.researchgate.net/publication/262725835-Technology-acceptance-model-for-the-use-of-learning-through-websites-among-students-in-Oman
112. C.C. Shen, and H.M. Chuang Exploring users' attitudes and intentions toward the interactive whiteboard technology environment International Review on Computers and Software 5 2 2010 200 208 Retrieved from http://andyrunyan.pbworks.com/w/file/fetch/55409229/Users'%20Attitudes%20toward%20IWB's.pdf
113. J. Shen, and L.B. Eder.Intentions to use virtual worlds for education Journal of Information Systems Education 20 2 2009 225 233 Retrieved from https://library3.hud.ac.uk/summon
114. S.H. Shyu, and J. Huang Elucidating usage of e-government learning: a perspective of the extended technology acceptance model Government Information Quarterly 28 4 2011 491 502 Retrieved from https://library3.hud.ac.uk/summon/
115. B. Smith, P. Caputi, N. Crittenden, R. Jayasuriya, and P. Rawstorne A review of the construct of computer experience Computers in Human Behavior 15 2 1999 227 242
116. D.M. Strong, M.T. Dishaw, and D.B. Bandy Extending task technology fit with computer self-efficacy ACM SIGMIS Database 37 3 2006 96 107
117. B. Šumak, M. Heričko, and M. Pušnik A meta-analysis of e-learning technology acceptance: the role of user types and e-learning technology types Computers in Human Behavior 27 6 2011 2067 2077 Retrieved from https://library3.hud.ac.uk/summon/
118. S.A. Tajudeen, M.K. Basha, F.O. Michael, and A.L. Mukthar Determinant of mobile devices acceptance for learning among students in developing country The Malaysian Online Journal of Educational Technology 1 3 2012 17 29 Retrieved from https://library3.hud.ac.uk/summon/
119. A. Tarhini, K. Hone, and X. Liu User acceptance towards web-based learning systems: investigating the role of social, organizational and individual factors in european higher education Computer Science 17 2013 189 197 10.1016/j.procs.2013.05.026
120. A. Tarhini, K. Hone, and X. Liu Factors affecting students' acceptance of e-learning environments in developing countries: a structural equation modeling approach International Journal of Information and Education Technology 3 1 2013 54 59 Retrieved from https://library3.hud.ac.uk/summon/
121. A. Tarhini, K. Hone, and X. Liu The effects of individual differences on e-learning users' behaviour in developing countries: a structural equation model Computers in Human Behavior 41 2014 153 163 10.1016/j.chb.2014.09.020
122. V. Tobing, M. Hamzah, S. Sura, and H. Amin Assessing the acceptability of adaptive e-learning system 5th International Conference on eLearning for Knowledge-Based Society, 16(3) 2008 1 10 Retrieved from http://elearn2013.com/eLAP2008/Proceedings/13-fullpaper-Vianny%20Tobing-Revised.pdf (Attitude removed & justified)
123. A. Tseng, and J. Hsia The impact of internal locus of control on perceived usefulness and perceived ease of use in E-learning: an extension of the technology acceptance model International conference on cyberworlds 2008 IEEE 815 819 10.1109/CW 2008.109
124. E.M. Van Raaij, and J.J.L. Schepers The acceptance and use of a virtual learning environment in china Computers & Education 50 3 2008 838 852 Retrieved from https://library3.hud.ac.uk/summon/
125. V. Venkatesh, and F.D. Davis A model of the antecedents of perceived ease of use: development and test Decision Sciences 27 3 1996 451 481
126. V. Venkatesh, M.G. Morris, G.B. Davis, and F.D. Davis User acceptance of information technology: toward a unified view MIS Quarterly 27 3 2003 425 478
127. C. Wang, and W. Wang.An empirical study of instructor adoption of web-based learning systems Computers & Education 53 3 2009 761 774 Retrieved from https://library3.hud.ac.uk/summon/
128. E.T. Welsh, C.R. Wanberg, K.G. Brown, and M.J. Simmering E-learning: emerging uses, empirical results and future directions International Journal of Training and Development 7 4 2003 245 258 10.1046/j.1360-3736.2003.00184.x
129. M. Williams, and J. Williams Evaluating a model of business school students' acceptance of web-based course management systems International Journal of Management Education 8 3 2009 59 70 10.3794/ijme.83.264
130. X. Wu, and Y. Gao Applying the extended technology acceptance model to the use of clickers in student learning: some evidence from macroeconomics classes American Journal of Business Education 4 7 2011 43 50 Retrieved from http://journals.cluteonline.com/index.php/AJBE/article/view/4674/4763
131. C. Wu, Y. Kuo, and S. Wu Investigating the antecedents of university students' behavioral intention to use iPad for learning International Journal of e-Education, e-Business, e-Management and e-Learning 3 6 2013 468 471 10.7763/IJEEEE 2013.V3.280
132. B. Wu, and C. Zhang Empirical study on continuance intentions towards E-learning 2.0 systems Behaviour & Information Technology 33 10 2014 1027 1038 10.1080/0144929X.2014.934291
133. S. Yang, H. Fang, C. Chuang, and H. Li Applying the technology acceptance model to investigate consumers' acceptance of digital learning system 3rd International conference on machine learning and computing 2011 411 415 Retrieved from http://fit.hcmup.edu.vn/∼haits/Conferences/ICMLC%202011/rp091-vol.4-C01149-002.pdf
134. S.C. Yang, and C.H. Lin.Factors affecting the intention to use Facebook to support problem-based learning among employees in a Taiwanese manufacturing company African Journal of Business Management 5 22 2011 9014 9022 10.5897/AJBM11.1191
135. U.A. Yucel, and Y. Gulbahar Technology acceptance model: a review of the prior predictors. Ankara University Journal of Faculty of Educational Sciences 46 1 2013 89 109 Retrieved from http://dergiler.ankara.edu.tr/dergiler/40/1799/18997.pdf
136. A.H.K. Yuen, and W.W.K. Ma Exploring teacher acceptance of e-learning technology Asia-Pacific Journal of Teacher Education 36 3 2008 229 243 Retrieved from https://library3.hud.ac.uk/summon/
137. H. Zare, and S. Yazdanparast The causal model of effective factors on intention to use of information technology among payamnoor and traditional universities students Life Science Journal 10 2 2013 46 50 Retrieved from http://www.lifesciencesite.com/lsj/life1002/008-B00896life1002-46-50.pdf
138. X. Zhang, P.O. de Pablos, and Q. Xu Culture effects on the knowledge sharing in multi-national virtual classes: a mixed method Computers in Human Behavior 31 2014 491 498 10.1016/j.chb.2013.04.021
139. N. Zhang, X. Guo, and G. Chen Extended information technology initial acceptance model and its empirical test Systems Engineering - Theory & Practice Online Vol. 27(9) 2007 123 130 Retrieved from https://library3.hud.ac.uk/summon/
140. S. Zhang, J. Zhao, and W. Tan Extending TAM for online learning systems: an intrinsic motivation perspective Tsinghua Science & Technology 13 3 2008 312 317 Retrieved from https://library3.hud.ac.uk/summon/
141. J. Zhao, and W. Tan E-learning systems adoption across cultures: a comparison study E-Product e-service and e-entertainment (ICEEE), international conference 2010 1 4 10.1109/ICEEE 2010.5661033
142. Z. Zhou, Y. Fang, D.R. Vogel, X. Jin, and X. Zhang Attracted to or locked in? predicting continuance intention in social virtual world services Journal of Management Information Systems 29 1 2012 273 306 10.2753/MIS0742-1222290108