E-learning adoption in the banking workplace in Indonesia: An empirical study

Information Development

Volumn 29, Issue 2, 2013, Pages 138-153

  Purnomo, Sutrisno Hadi ^a   Lee, Yi Hsuan ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

banking; e learning adoption; Indonesia; Structural Equation Modeling; Technology Acceptance Model

Indexed keywords

EID: 84877357185     PISSN: 02666669     EISSN: 17416469     Source Type: Journal    
DOI: 10.1177/0266666912448258     Document Type: Article

References (68)

1. Agarwal R,Prasad J.A conceptual and operational definition of personal innovativeness in the domain of information technology.Information Systems Research. 1998;9 (2): 204-215.
2. Agarwal R,Sambamurthy V,Stair RM.Research report: The evolving relationship between general and specific computer self-efficacy - An empirical assessment.Information Systems Research. 2000;11 (4): 418-430.
3. Ali ASBAn assessment of the impact of the fit among computer self efficacy, task characteristic and system characteristic on performance and information system utilization. 2005:.
4. Ali GE,Magalhaes R.Barriers to implementing e-learning: a Kuwaiti case study.International Journal of Training and Development. 2008;12 (1): 36-53.
5. Bagozzi RP,Yi Y,Phillips LW.Assessing construct validity in organizational research.Administrative Science Quarterly. 1991;36 (3): 421-30.
6. Bandura A.Self-efficacy: Toward a unifying theory of behavioral change.Psychological Review. 1977;84 (2): 191-215.
7. Bersin JThe four stages of e-learning: a maturity model for online corporate training. Oakland, CA: Bersin & Associates; 2005:.
8. Chau PYK.Reexamining a model for evaluating information center success using a structural equation modeling approach.Decision Sciences. 1997;28 (2): 309-334.
9. Chau PYK.Influence of computer attitude and self-efficacy on IT usage behavior.Journal of End User Computing. 2001;13 (1): 26-33.
10. Chau PYK,Hu PJH.Information technology acceptance by individual professionals: A model comparation approach.Decision Sciences. 2001;32 (4): 699-721.
11. Compeau DR,Higgins CA.Computer self-efficacy: development of a measure and initial test.MIS Quarterly. 1995;19 (2): 189-211.
12. Compeau DR,Higgins CA,Huff S.Social cognitive theory and individual reactions to computing technology: a longitudinal study.MIS Quarterly. 1999;23 (2): 145-58.
13. Davis FD.Perceived usefulness, perceived ease of use, and user adoption of IT.MIS Quarterly. 1989;13 (3): 319-340.
14. Fishbein M,Ajzen IBelief, attitude, intention and behaviour: an introduction to theory and research. MA. USA: Addison Willey, Reading; 1975:.
15. Fornell C,Larcker DF.Evaluating structural equation models with unobservable variables and measurement error.Journal of Marketing Research. 1981;18 (1): 39-50.
16. Fry K.E-learning markets and provides: some issues and prospects.Education and Training. 2001;43 ((4/5)): 233-239.
17. Glass NManagement masterclass: a practical guide to the new realities of business. Sonoma, CA: Nicholas Brealey Publishing; 1998:.
18. Gordon J.E-learning tagged as best corporate IT investment.e-learning. 2003;4 (1): 8.
19. Govindasamy T.Successful implementation of e-learning pedagogical considerations.Internet and Higher Education. 2002;4 ((3-4)): 287-299.
20. Hair JF Jr,Anderson RE,Tatham RL,Black WCMultivariate data analysis. 1998) Multivariate data analysis, 5th ed. New Jersey: Prentice-Hall. USA.New Jersey: Prentice-Hall. USA; 1998:.
21. Hashim J.Factors influencing the acceptance of web-based training in Malaysia: applying the technology acceptance model.International Journal of Training and Development. 2008;12 (4): 253-264.
22. Hardgrave BC,Davis FD,Riemenschneider CK.Investigating determinants of software developers' intentions to follow methodologies.Journal of Management Information System. 2003;20 (1): 123-151.
23. Hayashi A,Chen C,Ryan T,Wu J.The role of social presence and moderating role of computer self efficacy in predicting the continuance usage of e-learning systems.Journal of Information Systems Education. 2004;15 (2): 139-154.
24. Heinssen RK,Glass CR,Knight LA.Assessing computer anxiety: development and validation of the computer anxiety rating scale.Computers in Human Behavior. 1987;3 (1): 49-59.
25. Hong W,Thong JYL,Wong WM,Tam KY.Determinant of user acceptance of digital libraries: An empirical examination individual differences and system characteristics.Journal of Management Information Systems. 2001;18 (3): 97-124.
26. Howard SG,Smith DR.Computer anxiety in management: myth or reality?.Communications of the ACM. 1986;29 (7): 611-615.
27. Hoyle RHStructural equation modeling: concepts, issues, and applications. Hoyle R.H., ed. Thousand Oaks, CA: Sage Publications; 1995:.
28. Igbaria M,Guimaraes T,Davis GB.Testing the determinants of microcomputer usage via a structural equation model.Journal of Management Information Systems. 1995;11 (4): 87-114.
29. Kerka S.Distance learning, the Internet, and the World Wide Web.ERIC Digest. 1999;:.
30. Konradt U,Christophersen T,Schaeffer-Kuelz U.Predicting user satisfaction, strain and system usage of employee self-services.International Journal of Human-Computer Studies. 2006;64 (11): 1141-1153.
31. Landry BJL,Griffeth R,Hartman S.Measuring student perceptions of Blackboard using the technology acceptance model.Decision Sciences. 2006;4 (1): 87-99.
32. Lau SH,Woods PC.Understanding learner acceptance of learning objects: the roles of learning object characteristics and individual differences.British Journal of Educational Technology. 2008;40 ((6)): 1059-1075.
33. Lee YC.An empirical investigation into factors influencing the adoption of an e-learning system.Online Information Review. 2006;30 (5): 517-541.
34. Lee YH,Hsieh YC,Ma CY.A model of organizational employees' e-learning systems acceptance.Knowledge-Based Systems. 2010;24 (3): 355-366.
35. Liu I-Fan,Chen MC,Sun YS,Wible D,Kuo CH.Extending the TAM model to explore the factors that affect intention to use an online learning community.Computers & Education. 2010;54 (2): 600-610.
36. McFarland DJ,Hamilton D.Adding contextual specificity to the technology acceptance model.Computers in Human Behavior. 2006;22 (3): 427-447.
37. Madorin S,Iwasiw C.The effects of computer-assisted instruction on the self-efficacy of baccalaureate nursing students.Journal of Nursing Education. 1999;38 (6): 282-295.
38. Moore GC,Benbasat I.Development of instrument to measure the perceptions of adopting an information technology innovation.Information Systems Research. 1991;2 ((3)): 192-222.
39. Mun YY,Hwang Y.Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation and the technology acceptance model.International Journal of Human-Computer Studies. 2003;59 (4): 431-449.
40. Ndubisi NO,Jantan M.Evaluating IS usage in Malaysian small and medium-sized firms using the technology acceptance model.Logistics Information Management. 2003;16 (6): 440-450.
41. Nelson DL.Individual adjustment to information-driven technologies: a critical review.MIS Quarterly. 1990;14 (1): 79-98.
42. Ngai EWT,Poon JKL,Chan YHC.Empirical examination of the adoption of WebCT using TAM.Computers and Education. 2007;48 (2): 250-267.
43. Ong CS,Lay JY,Wang YS.Factors affecting engineers' adoption of asynchronous e-learning systems in high-tech companies.Information & Management. 2004;41 (6): 795-804.
44. Ong CS,Lai JY.Gender differences in perceptions and relationships among dominants of e-learning acceptance.Computers in Human Behavior. 2006;22 (5): 816-829.
45. Park SY.An analysis of the technology acceptance model in understanding university students' behavioral intention to use e-Learning.Educational Technology & Society. 2009;12 ((3)): 150-162.
46. Park N,Roman R,Lee S,Chung JE.User acceptance of a digital library system in developing countries: an application of the Technology Acceptance Model.International Journal of Information Management. 2009;29 (3): 196-209.
47. Piccoli G,Ahmad R.Web-based virtual learning environments: a research framework and a preliminary assessment of effectiveness in basic IT skills training.MIS Quarterly. 2001;25 (4): 401-426.
48. Pituch KA,Lee YK.The influence of system characteristics on e-learning use.Computers & Education. 2006;47 (2): 222-244.
49. Rezai M,Mohammadi HM,Asadi A,Kalantary K.Predicting e-learning application in agricultural higher education using technology acceptance model.Turkish Online Journal of Distance Education. 2008;9 (1): 85-95.
50. Rogers EDiffusion of innovations. 1995) Diffusion of innovations4th ed. New York: Free Press.New York: Free Press; 1995:.
51. Saade RG,Kira D.The emotional state of technology acceptance.Issues in Informing Science and Information Technology. 2006;3:529-539.
52. Saade RG,Kira D.Computer anxiety in e-learning: The effect of computer self-efficacy.Journal of Information Technology Education. 2009;8:177-191.
53. Selim HM.An empirical investigation of student acceptance of course websites.Computers & Education. 2003;40 ((4)): 343-360.
54. Straub DW,Keil M,Brenner WH.Testing the technology acceptance model across cultures: a three country study.Information & Management. 1997;33 ((1)): 1-11.
55. Sugiarsono Je-learning award 2007. Jakarta, Indonesia: SWA Online; 2007:.
56. Sun H,Zhang P.The role of moderating factors in user technology acceptance.International Journal of Human-Computer Studies. 2006;64 (2): 53-78.
57. Sun PC,Tsai RJ,Finger G,Chen YY,Yeh D.What drives a successful e-learning? An empirical investigation of the critical factors influencing learner satisfaction.Computers and Education. 2008;50 (4): 1183-1202.
58. Tan M,Teo TSH.Factors influencing the adoption of Internet banking.Journal of the Association for Information Systems. 2000;1 (5): 1-42.
59. Taylor S,Todd P.Assessing IT usage: the role of prior experience.MIS Quarteriy. 1995;19 (4): 561-570.
60. Tornatzky LG,Klein KJ.Innovation characteristics and innovation adoption implementation: a meta-analysis of findings.IEEE Transactions on Engineering Management. 1982;29 (1): 28-45.
61. Untari RInternational Conference on E-learning for Knowledge-Based Society. Thailand: Bangkok; 2007:18-19.
62. Vaughan K,MacVicar A.Employees' pre-implementation attitudes and perceptions to e-learning: a banking case study analysis.Journal of European Industrial Training. 2004;28 (5): 400-413.
63. Venkatesh V.Creation of favorable user perceptions: exploring the role of intrinsic motivation.MIS Quarterly. 1999;23 (2): 239-260.
64. Venkatesh V,Davis FD.A model of the antecedents of perceived ease of use: development and test.Decision Sciences. 1996;27 (3): 451-481.
65. Venkatesh V,Davis FD.A theoretical extension of the technology acceptance model: Four longitudinal field studies.Management Science. 2000;46 (2): 186-204.
66. Wahyuni ASAnalysis of e-learning system acceptance by using technology acceptance model on PT Bank Mandiri (Persero) Tbk. Yogyakarta. Indonesia: Magister Management. Gadjah Mada University; 2008:.
67. Walker GMFaculty intentions to use web-enhanced instructional components. USA: Capella University; 2004:.
68. Wu JH,Wang SC.What drives mobile commerce? An empirical investigation of the revised technology acceptance model.Information & Management. 2005;42 (5): 719-729.