Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning

Computers in Human Behavior

Volumn 34, Issue , 2014, Pages 301-314

  Agudo Peregrina, Ángel F ^a   Hernández García, Ángel ^a   Pascual Miguel, Félix J ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Behavioral intention; Educational technology acceptance; Self reported use; TAM3; Use behavior

Indexed keywords

E-LEARNING; INFORMATION TECHNOLOGY; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; STUDENTS;

BEHAVIORAL INTENTION; ELECTRONIC LEARNING SYSTEMS; HIGHER EDUCATION INSTITUTIONS; PARTIAL LEAST SQUARES ANALYSIS; SELF-REPORTED USE; TAM3; USE BEHAVIOR; VIRTUAL LEARNING ENVIRONMENTS;

COMPUTER AIDED INSTRUCTION;

EID: 84898804230     PISSN: 07475632     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chb.2013.10.035     Document Type: Article

References (67)

1. A. Abdel-Wahab Modeling students' intention to adopt e-learning a case from Egypt Turkish Online Journal of Distance Education 9 1 2008 157 168
2. R. Agarwal, and J. Prasad A conceptual and operational definition of personal innovativeness in the domain of information technology Information Systems Research 9 2 1998 204 215
3. I. Ajzen The theory of planned behavior Organizational Behavior and Human Decision Processes 50 1991 179 211
4. R.P. Bagozzi The legacy of the technology acceptance model and a proposal for a paradigm shift Journal of the Association for Information Systems 8 4 2007 244 254
5. D. Barclay, C. Higgins, and R. Thompson The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration Technology Studies 2 2 1995 285 309
6. M. Bommer, and D.S. Jalajas The threat of organizational downsizing on the innovative propensity of R&D professionals R&D Management 29 1999 27 34
7. A. Burton-Jones, and D.W. Straub Jr. Reconceptualizing system usage: An approach and empirical test Information Systems Research 17 3 2006 228 246 321-322 (Pubitemid 44371787)
8. Carlsson, S. A., Henningsson, S., Hrastinski, S., & Keller, C. (2008). Towards a design science research approach for IS use and management: Applications from the areas of knowledge management, E-Learning and IS integration. In Proceedings of the Third International Conference on Design Science Research in Information Systems & Technology (DESRIST 2008).
9. Chen, Y., Chen, C., Lin, Y., & Yeh, R. (2007). Predicting College Student' use of E-Learning systems: An attempt to extend technology acceptance model. In Proceedings of PACIS 2007, Paper 121.
10. W.W. Chin, B.L. Marcolin, and P.R. Newsted A partial least squares latent variable modeling approach for measuring interaction effects: Results from a monte carlo simulation study and an electronic mail emotion/adoption study Information Systems Research 14 2 2003 189 217
11. W.W. Chin The partial least squares approach for structural equation modelling G.A. Marcoulides, Modern methods for business research 1998 Lawrence-Erlbaum Associates Hillsdale, New York 295 336
12. D.R. Compeau, and C.A. Higgins Computer self-efficacy: development of a measure and initial test MIS Quarterly 19 2 1995 189 211
13. F.D. Davis Perceived usefulness, perceived ease of use and user acceptance of information technology MIS Quarterly 13 3 1989 319 339
14. R. Donnelly Interaction analysis in a 'learning by doing' problem-based professional development context Computers & Education 55 3 2010 1357 1366
15. Dueñas-Rugnon, O. L., Iglesias-Pradas, S., & Hernández-García, Á. (2010). System and user characteristics in the adoption and use of e-learning management systems: A cross-age study. In Lytras, M. D., Ordonez De Pablos, P., Avison, D., Sipior, J., Jin, Q., Leal, W., Uden, L., Thomas, M., Cervai, S., Horner, D. G. (Eds.), Technology Enhanced Learning: Quality of Teaching and Educational Reform (pp. 301-307), CCIS, 73.
16. O.L. Dueñas-Rugnon, S. Iglesias-Pradas, and A.F. Agudo-Peregrina An analysis of the moderating effects of age in the acceptance of learning management systems Teoría de la Educación: Educación y Cultura en la Sociedad de la Información 13 1 2012 317 333
17. E. Engelbrecht Adapting to changing expectations: Post-graduate students' experience of an e-learning tax program Computers & Education 45 2 2005 217 229 (Pubitemid 40423519)
18. M. Fishbein, and I. Ajzen Belief, attitude, intention, and behavior: An introduction to theory and research 1975 Addison-Wesley Reading, MA
19. C. Fornell, and D.F. Larcker Evaluating structural equation models with unobservable variables and measurement error Journal of Marketing Research 18 1 1981 39 50
20. D. Gefen, and G. Straub A practical guide to factorial validity using PLS-GRAPH: Tutorial and annotated example Communications of the Association for Information Systems 16 2005 91 109
21. D.L. Goodhue, and R.L. Thompson Task-technology fit and individual performance MIS Quarterly 19 2 1995 217 236
22. E.E. Grandon, K. Alshare, and O. Kwun Factors influencing student intention to adopt online classes: A cross-cultural study Journal of Computing Sciences in Colleges 20 4 2005 46 56
23. S.B. Green How many subjects does it take to do a regression analysis Multivariate Behavioral Research 26 3 1991 449 510
24. M. Haenlein, and A.M. Kaplan A beginner's guide to partial least squares analysis Understanding Statistics 3 4 2004 283 297
25. J.F. Hair, R.E. Anderson, R.L. Tatham, and W.C. Black Multivariate data analysis 5th ed. 1998 Prentice Hall Englewood Cliffs, New York
26. J.F. Hair, C.M. Ringle, and M. Sarstedt PLS-SEM: Indeed a silver bullet Journal of Marketing Theory and Practice 19 2 2011 139 151
27. N. Hara, and R. Kling Students' distress with a web-based distance education course: An ethnographic study of participants' experiences Information, Communication and Society 3 4 2000 557 579
28. J.S. Hulland Use of partial least squares (PLS) in strategic management research: A review of four recent studies Strategic Management Journal 20 4 1999 195 204
29. Jong, D., & Wang, T. S. (2009). Student acceptance of web-based learning system. In Proceedings of the 2009 International Symposium on Web Information Systems and Applications (WISA'09) (pp. 533-536).
30. M. Limayem, S.G. Hirt, and C.M.K. Cheung How habit limits the predictive power of intention: The case of information systems continuance MIS Quarterly 31 4 2007 705 737 (Pubitemid 351153309)
31. F. Liu, M. Chang 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 2010 600 610
32. J.T. Marchewka, C. Liu, and K. Kostiwa An application of the UTAUT model for understanding student perceptions using course management software Communications of the IIMA 7 2 2007 93 104
33. P. Mungania, and T.G. Reio Jr. If e-learners get there, will they stay? The role of e-learning self-efficacy Academy of Human Resource Development International Conference (AHRD) 2005 1110 1117
34. Nanayakkara, C., Whiddett, D. (2005). A model of user acceptance of e-learning technologies: A Case Study of a Polytechnic in New Zealand. Information systems technology and its applications, ISTA' 2005 4th. International conference (pp. 180-189). Lecture Notes in Informatics, 63.
35. N. Nistor, A. Göǧüş, and T. Lerche Educational technology acceptance across national and professional cultures: A European study Educational Technology Research and Development 61 4 2013 733 749
36. J.C. Nunnally Psychometric theory 1978 McGraw-Hill Book Company New York
37. J.A. Ouellette, and W. Wood Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior Psychological Bulletin 124 1 1998 54 74
38. M. Paechter, B. Maier, and D. Macher Students' expectations of, and experiences in e-learning: Their relation to learning achievements and course satisfaction Computers & Education 54 2010 222 229
39. 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
40. G. Piccoli, R. Ahmad, and B. Ives Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skills training MIS Quarterly 25 4 2001 401 425
41. B. Pynoo, P. Devolder, J. Tondeur, J. van Braak, W. Duyck, and P. Duyck Predicting secondary school teachers' acceptance and use of a digital learning environment: A cross-sectional study Computers in Human Behavior 27 1 2011 568 575
42. P. Ramírez-Correa, F.J. Rondán-Cataluña, and J. Arenas-Gaitán Influencia del Género en la Percepción y Adopción de e-Learning: Estudio Exploratorio en una Universidad Chilena Journal of Technology Management & Innovation 5 3 2010
43. C.M. Ringle, S. Wende, and A. Will SmartPLS 2005 University of Hamburg Hamburg
44. 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 (Pubitemid 351559616)
45. 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 (Pubitemid 46028956)
46. N. Schillewaert, M.J. Ahearneb, R.T. Frambachc, and R.K. Moenaertd The adoption of information technology in the sales force Industrial Marketing Management 34 4 2005 323 336 (Pubitemid 40595437)
47. Selim, H. M. (2005). E-learning critical success factors: An exploratory investigation of student perceptions. In M. Khosrow-Pour (Ed.), Managing modern organizations through information technology, Proceedings of the 2005 information resources management association international conference (pp. 340-346). Hershey, PA: Idea Group publishing.
48. Selim, H. M. (2006). E-Learning Acceptance Model (ELAM). In M. Khosrow-Pour (Ed.), Emerging trends and challenges in information technology management (Vols. 1-2, pp. 73-77). Hershey, PA: Idea Group Publishing.
49. H.M. Selim Critical success factors for e-learning acceptance: Confirmatory factor models Computers & Education 49 2007 396 413 (Pubitemid 46777140)
50. K.L. Smart, and J. Cappel Students' perceptions of online learning: A comparative study Journal of Information Technology Education 5 2006 201 219
51. D. Straub, M. Limayem, and E. Karahanna-Evaristo Measuring system usage - implications for IS theory testing Management Science 41 8 1995 1328 2134
52. B. Šumak, M. Heričko, M. Pušnik, and G. Polančič Factors affecting acceptance and use of moodle: An empirical study based on TAM Informatica 35 2011 91 100
53. S. Taylor, and P. Todd Understanding information technology usage: A test of competing models Information Systems Research 6 2 1995 144 168
54. M. Tenenhaus, V. Esposito Vinzi, Y.-M. Chatelin, and C. Lauro PLS path modeling Computational Statistics & Data Analysis 48 1 2005 159 205
55. T. Teo Development and validation of the E-learning Acceptance Measure (ElAM) The Internet and Higher Education 13 3 2010 148 152
56. H.C. Triandis Interpersonal behavior 1977 Brooks/Cole Pub
57. M. Turner, B. Kitchenham, P. Brereton, S. Charters, and D. Budgen Does the technology acceptance model predict actual use? A systematic literature review Information and Software Technology 52 2010 463 479
58. Umrani-Khan, F., & Iyer, S. (2009). ELAM: A Model for Acceptance and Use of E-learning by Teachers and Students. In Proceedings of the 4th International Conference on e-Learning (ICEL 2009) (pp. 475-485).
59. E.M. Van Raaij, and J.J.L. Schepers The acceptance and use of a virtual learning environment in China Computers and Education 50 3 2008 838 852 (Pubitemid 351174014)
60. V. Venkatesh, and H. Bala Technology acceptance model 3 and a research agenda on interventions Decision Sciences 39 2008 273 315
61. V. Venkatesh, and F.D. Davis A theoretical extension of the technology acceptance model: Four longitudinal field studies Management Science 46 2 2000 186 204 (Pubitemid 30594361)
62. V. Venkatesh, and M.G. Morris Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior MIS Quarterly 24 1 2000 115 139
63. 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
64. V. Venkatesh, J.Y.L. Thong, and X. Xin Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology MIS Quarterly 36 1 2012 157 178
65. T. Volery, and D. Lord Critical success factors in online education The International Journal of Education Management 14 5 2000 216 223
66. H.O. Wold Soft modeling: The basic design and some extensions K.G. Jöreskog, H.O. Wold, Systems under indirect observations Vol. 2 1982 North-Holland Press Amsterdam 1 54
67. 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 (Pubitemid 351726470)