User:Snadek/My sandbox/publication

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1. Masie, E. (2001). The real truth about e-learning’s future. IT Training. Online available at

2. Ngai, E.W.T, Poon. J.K.L., Chan. Y.H.C. (2005). Empirical examination of the adoption of WebCt using TAM. Computers and Education, (article in press). Online retrieval from the

3. Abdul-Gader, A. (1996). The impact of user satisfaction on computer-mediated communication acceptance: A casual path model. Information Resources Management Journal, 104(4), pp. 17-26.

4. Adams, D. A., Nelson, R.R., Todd, P.A. (1992). Perceived usefulness, ease of use and usage of information technology: a replication. MIS Quarterly, 16, (2 June), pp. 227-248.

5. Igbaria, M., Guimaraes, T. Davis, G.B. (1995). Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information Systems, 11(4), pp. 87-114.

6. Fishbein, M., Ajzen, I. (1975). Belief, attitude, intension and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

7. Ajzen, I. (1985). Form intention to actions: a theory of Planed behaviour. In J. Kuhl & J. Beckmann, Eds. Action Control: From Cognition to Behavior. N.Y.: Springer-Verlag. pp. 11-39.

8. Sutton, S. (1998). Predicting and explaining intensions and behavior. How well are we doing? Journal of Applied Social Psychology, 28, pp. 1317-1338.

9. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes (50) 179-211.

10. Conner, M. & Armitage, C.J. (1998). Extending the theory of planned behavior: A review and avenues for further research. Journal of Applied Social Psychology, 28, pp. 1429-1464.

11. Dillon, A. Morris, M. (1996). User acceptance of information: Theories and models Annual Review of Information Science and Technology, 31, 3-32.

12. Kwon, N., Onwuegbuzie, A. (2005). Journal of the American Society for Information Systems and Technology, 56(14) pp. 1525-1543.

13. Dishaw, M.T. and Strong, D.M. (1999). Extending the technology acceptance model with task-technology fit constructs, Information and Management, 36, pp. 9-21

14. Goodhue, D. L., Thompson, R.L. (1995). “Task-Technology Fit and Individual Performance”. MIS Quarterly (19:2), pp. 213-236.

15. Goodhue, D. L., (1995). Understanding User Evaluations of Information Systems. Management Science (41:12); pp. 1827-1844..

16. Dishaw, M.T., Strong, D.M., Bandy, D.B. (2002). Extending the Task-Technology Fit Model with Self-efficacy Constructs, in Proceedings of 8th American Conference on Information Systems.

17. Rogers E.M. (1983). Diffusion of Innovations. 3rd edition. Free Press. NY.

18. Moore, G.C., Berbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information’s Systems Res. 2:pp. 192-222

19. Premkumar, G., Bhattacherjee, A. (2006). Explaining information Technology usage: a test of competing models. OMEGA. Article in press Available at

20. Oliver, R.L. (1980). A cognitive Model for the antecedents and consequences of satisfaction. Journal of Marketing Research 1980; pp. 17:460-9.

21. Bhattacherjee, A. (2001).Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly 2001; 25(3):pp. 351-70

22. Bhattacherjee, A, Premkumar, G. (2004). Understanding changes in beliefs and attitudes toward IT usage. MIS Quarterly 2004; 28(2).

23. Davis, F.D. (1989).Perceived usefulness, perceived easy of use and user acceptance of information Technology. MIS Quarterly, 13, pp. 319-340.

24. Davis, F.D., Bagozzi, R. P., & Warshaw, P.R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35, pp. 982-1003.

25. Davis, F.D. (1985).A Technology Acceptance Model for Empirically Testing New End-User Systems: Theory and Results, Unpublished Doctoral Dissertation, Massachusetts Institute of Technology.

26. Money, W., Turner, A. (2004). Application of the Technology Acceptance Model to a Knowledge management System. In Proceedings of the 37th Hawaii Conference on System Science, Hawaii.

27. Davis, F.D. (1993). User acceptance of Information Technology: system characteristics, user perception and behavioral impacts. Intern. Journal of Man-Machine Studies, 38, pp. 475-487.

28. Yi, M.Y., Jackson, J.D., Park, J. S., Probst, J.C. (2006). Information and Management. Article in Press, Available online at

29. Taylor, S. Todd, P.A. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19, pp. 561-571.

30. Straub, D., Limayem, M., Karahana, E.(1995). “Measuring System Usage: Implication for IS Theory Testing”. Management Science (41:8), pp. 1328-1342

31. Igbaria, M., Tan, M. (1997). The consequences of information technology acceptance on subsequent individual performance. Information & Management; 32 :pp. 113-121

32. Agarwal, R., Karahana, E. (1998). Time flies when you’re having fun: cognitive absorption and beliefs about information technology usage. MIS Quarterly 24 (4), pp. 665-694.

33. Teo, T.S.H., Lim, V.K.G., Lai, R.Y.C. (1999). Intrinsic and extrinsic motivation in Internet usage. Omega 27 (1), pp. 25-37

34. Lederer, A.L., Maupin, D.J., Sena, M.P., Zhuang, Y.L. (2000). The technology acceptance model and the WWW. Decision Support Systems 29(3), pp. 269-282.

35. Factors influencing the usage of Websites-the case of a general portal in the Netherlands. Information & Management 40 (6), pp. 541-549.

36. Heijden, H. v.d. (2004). User acceptance of information systems. MIS Quarterly 28(4), pp. 695-704.

37. Lin, J.C.C., Lu, H. (2002). Towards an understanding of behavioral intension to use a website. International Journal of Information Management, (20), pp. 197-208.

38. Venkatesh V. & Davis F.D. (2000). A theoretical extension of the technology acceptance model: four longitudinal studies. Management Science 46, pp. 186-204.

39. Moon, J.W., Kim, Y.G. (2001). Extending the TAM for WWW context. Information & Management 38(4), pp. 217-230.

40. Horton, R.P., Buck, T., Waterson, P., Cledd, C.W. (2001). Explaining intranet use with TAM. Journal of Information Technology (2001) 16, pp. 237-249.

41. Lee, Y., Kozar, K.A., Larsen, K.R.T. (2003). The technology acceptance model: past, present and future. Communications of the Association for Information Systems 12(50), pp. 752-780.

42. Chen, L-D., Tan, J. (2004). Technology adaptation in e-commerce: Key determinates of Virtual Stores. European management Journal. Vol 22(1), pp. 74-86.

43. Lai, V.S., Li H. (2005). TAM for internet banking. Information & Management, 42, pp. 373-384.

44. Shinh, H-P. (2005). Extended technology acceptance model of internet utilization behaviour. Information & Management, 41, pp. 719-729.

45. Sun, H., Zhang, P. (2006). The role of moderating factors in user technology acceptance. Int. J. Human-Computer Studies. 64, pp. 53-78.

46. Lee, H-Y., Ahn, H., Han, I. (2006). Virtual Community Recommender using TAM and the user’s needs type. Expert Systems with Application. Article in press, available online at

47. Yang, H-D., Yoo, Y.(2004). Its all about attitude: revisiting the TAM. Decision Support Systems, 38, pp. 19-31.

48. Konradt, U., Christophersen, T., Kuelz, U.S. (2006). Predicting user satisfaction, strain and system usage of employee self-services. Int. J. Human-Computer Studies, 64, pp.1141-1153.

49. Thong, J.Y.L., Hong, W., Tam, K-Y. (2002). Understanding user acceptance of digital libraries: what are the roles of interface characteristics, organizational context and individual differences?. Int. J. Human-Computer Studies. 57, pp. 212-242.

50. Selim, H. (2005). Critical success factors for e-learning acceptance: Confirmatory factor models. Computers & Education (2005), Article in press, available at

51. Lee, M.K.O., Cheung, C.M.K., Chen, Z. (2005). Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation. Information & Management. Article in press, available on line at

52. Legris, P., Ingham, J., Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management 40, (3) pp. 191-204.

53. Venkatesh, V., Morris M., Davis G., Davis, F. (2003).User acceptance of information technology: toward a unified view. MIS Quarterly 2003; 26(4):pp. 425-78.

54. Hu, P.J., Chau, P.Y.K., Sheng, O.R.L., Tam, K.Y. (1999). Examining the TAM using physician acceptance of telemedicine technology. Journal of Management Information Systems, pp. 91-112.

55. Wang, Y-S. (2003). Assessment of learner satisfaction with asynchronous electronic learning system. Information & Management 41, pp. 75-86.

56. Ong, C-S., Lai, J-Y, Wang, Y-S. (2004). Factors affecting engineers’ acceptance of asynchronous e-learning systems in Hi-Tech companies. Information & Management 41, pp. 795-804.

57. Dun, H., Zhang, P. (2004). A methodological analysis of the user technology acceptance. 37th Hawaii International Conference of Systems Science. Big Island, Hawaii.

58. Pituchk, K.A., Lee, Y-K. (2004). The influence of system characteristics on e-learning use. Computers & Education. Available on line at http://

59. Roca, J.C., Chiu, C-M., Martinez, F.J. (2006). Understanding e-learning continuance intention: An extension of the TAM. Int. J. Human-Computer Studies 64, pp. 683-696.

60. Cheng, E.T.C., Lam, D.Y.C., Yeung, A.C.L. (2006). Adoption of internet banking: An empirical study in Hong Kong. Decision Support Systems. Available at

61. Saade, R., Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Information & Management, 42, pp. 317-327.

62. Hong, S-J., Thong, J.Y.L., Tam, K.Y. (2006). Understanding continued information technology usage behavior: A comparison of the three models in the context of mobile internet. Decision Support Systems. Available on line at

63. Liu, S-H., Liao, H-L., Peng C-J. (2005). Applying the TAM and Flow theory to online e-learning users’ acceptance behavior. Issues in Information Systems, Vol VI, (2) pp. 175-181.

64. Ma, W.W., Andersson, R., Streith, K-O. (2005). Examining user acceptance of computer technology: an empirical study of student teachers. Journal of Computer Assisted Learning. 21, pp. 387-395.

65. Wu, J-H., Chen, Y-C., Lin, L-M. (2007).Empirical evaluation of the revised end computing acceptance model. Computer in Human Behavior. (23), pp. 162-174.

66. Pagani, M. (2006). Determinants of adoption of High Speed Data Services in the business market: Evidence for a combined technology acceptance model with task technology fit model. Information & management. Article in press. Available at

67. Amoako-Gyamph, K., Salam, A.F. (2004). Tam in ERP. Information & Management (41), pp. 731-745.

68. Burton-Jones, A., Hubona, G. (2006). The mediation of the external variables in the technology acceptance model. Information & Management. (43), pp. 706-717.

69. Lin, A. (2006). The acceptance and use of a business-to-business information system. Int. J. of Information Management. (26), pp. 386-400.

70. Hu, P., J-H., Clark, T. H.K., MA, W.W. (2003). Examing technology acceptance by school teachers: a longitudinal study. Information & Management. (41), pp. 227-241.

71. Colvin, C.a., Gog, A. (2005). Validation of the technology acceptance model for police. Journal of Criminal Justice. (33), pp. 89-95.

72. Lu, C-S., Lai, K-H, Cheng, T.C.E. (2006). Application of structural equation modelling to evaluate the intention of shippers to use Internet services in liner shipping. European Journal of Operational Research. (2006). Available at

73. Deng, X., Doll, W.J., Hendrickson, A.R., Scazzero, J. (2004). A multi-group analysis of structural invariance: an illustrator using the technology acceptance model. Information & Management. (42), pp. 745-749.

74. Saade, R.G., Kira, D. (2006). Mediating the impact of technology usage on perceived easy of use by anxiety. Computers & Education. Article in press. Available at

75. Porte, C.E., Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics. Journal of Business Research. Article in press. Available on line at

76. Sun, H. Zhang, P. (2006). The role of moderating factors in user technology acceptance. Int. J. Human-Computer Studies (64), pp.53-78.

77. Lee, K.C., Kang, I., Kim, J.S. (2007). Exploring the user interface of negotiation support systems from the user acceptance perspective. Computers in Human Behavior. (23), pp.220-239.

78. Malhotra, Y., Galletta. D.F.(1999). Extending the Technology acceptance model to account for Social Influence: Theoretical Bases and Empirical Validation. In proceedings of the 32nd Hawaii International Conference on System Sciences -1999, Hawaii.

79. Landry, B.J.L., Griffeth, R., Hartman, S. (2006). Measuring student perceptions of Blackboard Using the TAM. Decision Sciences Journal of Innovative Education. (4)

80. Money, W., Turner, A. (2004). Application of the TAM to a Knowledge system. In proceedings of the 37th Hawaii International Conference on System Science. Hawaii.

81. Stoel, L., Lee, K.H. (2003). Modeling the effect of experience on student acceptance of Web-based courseware. Electronic Networking Applications and Policy. Vol. 13 (5) pp. 364-374.

82. Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., Pahnila, S. (2004). Consumer acceptance of online banking: an extension of the technology acceptance model. Internet Research,, Vol. 14 (3), pp. 224-235.

83. Wu, J-H, Wang, S-C. (2005). What drives mobile commerce? An empirical evaluation of the revised TAM. Information & Management. (42), pp. 719-729.

84. Lin, J. C-C., Lu, H. (2000). Towards an understanding of the behavioural intention to use a web site. Int. J. of Information management. (20), pp. 197-208.

85. Carayannis, E.G., Turner, E. (2005). Innovation diffusion and technology acceptance: The case of PKI technology. Technovation 2005, pp. 1-9.

86. Liaw, S.-S. Understanding user perceptions of WWW environments. J. of Computer Assisted Learning. (18), pp. 137-148.

87. Cheung, W., Huang, W. (2005). Proposing a framework to access Internet usage in university education: an empirical investigation from a student’s perspective. British Journal of Educational Technology. Vol 36 (2), pp. 237-253.

88. Carter, L, Belanger, F. (2005). The utilization of e-government services: citizen trust, innovation and acceptance factors. Info Systems (15), pp. 5-25.

89. Lee, S.M., Kim, I., Rhee, S., Trimi, S. (2006). The role of exogenous factors in technology acceptance: The case of O_O technology. Information & management. Article in press, available at

90. Dadayan, L., Ferro, E. (2005). When Technology Meets the Mind: A comparative study of the TAM. M.A. Wimmers et al. (EDS.): EGOV 2005, LNCS 3591, 137-144.

91. Hu, P.J-H., Lin, C., Chen, H. (2003). Examining Technology Acceptance by Individual law Enforcement Officers: An Exploratory Study. H. Chen et al. (Eds.): ISI 2003, LNCS 2665, pp. 209-222. Springer-Verlang, Berlin Heidelberg.

92. Lee, M.K.O., Cheung, C.M.K., Chen, Z. (2005). Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation. Information & Management. Available at

93. Yu, J., ha, I., Choi, M., Rho, J. (2005). Extending the TAM for a t-commerce. Information & Management (42), pp. 965-976.

94. Kin, Y.J., Chun, J.U., Song, J. (2003). Investigating the role of attitude in TAM from an attitude strength perspective. Information & Management. Available at

95. Chismar, W., Wiley-Patton, S. (2002). Test of the Technology Acceptance Model for the Internet in Paediatrics In proceedings of the AMIQ 2002 Annual Symposium, p. 155.

96. Gardner, C., Amoroso, D. (2004). Development of an Instrument to Measure the Acceptance of the Internet Technology. In proceedings of 37th Hawaii International Conference on Systems Science. Hawaii.

97. Fishbein, M., Ajzen, I. (1977). Attitudes and Opinions. Annual review of Psychology, 23, pp. 487-544

98. Ajzen, I., Madden, T. J. (1986). Prediction of goal-directed behavior: Attitudes, intentions and perceived behavioral control. Journal of Experimental Social Psychology 22(5), pp. 453-474.

99. Kruppa, K., Mandl, H., Hense, J. (2002). Nachhaltigket von Modellversuchsprogrammen am Beipiel des BLK-Programms SEMIK. Munchen: Lehrstuhl fur Empirische Padagogik.

100. Venkatesh V. & Davis F.D. (2000). A theoretical extension of the technology acceptance model: four longitudinal studies. Management Science 46, pp. 186-204.