參考文獻 |
1. Armstrong, J. S., & Overton, T. S. (1977). Estimating Nonresponse Bias in Mail Surveys. Journal of Marketing Research, 14(3), 396-402.
2. Babakus, E., & Boller, G. W. (1992). An empirical assessment of the SERVQUAL scale. Journal of Business Research, 24(3), 253-268.
3. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
4. Bailey, J. E., & Pearson, S. W. (1983). Development of a Tool for Measuring and Analyzing Computer User Satisfaction. Management Science, 29(5), 530-545.
5. Baldwin, A., & Sohal, A. (2003). Service quality factors and outcomes in dental care. Managing Service Quality, 13(3), 207-216.
6. Ballou, D. P., & Pazer, H. L. (1985). Modeling Data and Process Quality in Multi-Input, Multi-Output Information Systems. Management Science, 31(2), 150-162.
7. Bandura, A. (1977). Social learning theory.
8. Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122-147.
9. Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive TheoryPrentice-Hall Englewood Cliffs, NJ.
10. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs. NJ: Prentince-Hall,
11. Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28(2), 117-148.
12. Bandura, A. (1989). Human agency in social cognitive theory. The American Psychologist, 44(9), 1175-1184.
13. Baroudi, J. J., & Orlikowski, W. J. (1988). A short-form measure of user information satisfaction: a psychometric evaluation and notes on use. Journal of Management Information Systems, 4(4), 44-59.
14. Baroudi, J., & Olson, M. Ives; B.(1986). An Empirical Study of the Impact of user Involvement on System Usage and Information Satisfaction. Communication of the ACM, 29, 231-238.
15. BARRETT, G., CABE, P., & THORNTON, C. (1968). Human factors evaluation of a computer based information storage and retrieval system(Human factors evaluation of computer based information storage and retrieval system using questionnaire and interview techniques). Human factors, 10, 431-436.
16. Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological bulletin, 88, 588406.
17. Compeau, D., Higgins, C. A., & Huff, S. (1999). Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study. MIS Quarterly, 23(2), 145-158.
18. Compeau, D. R., & Higgins, C. A. (1995). Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly, 19(2), 189-211.
19. Crawford Jr, A. (1982). Corporate Electronic Mail-A Communication-Intensive Application of Information Technology. MIS Quarterly, 6(3), 1-13.
20. Cronin Jr, J. J., & Taylor, S. A. (1992). Measuring Service Quality: A Reexamination and Extension. Journal of Marketing, 56(3), 55-68.
21. Cyert, R. M., & March, J. G. (1963). A Behavior Theory of the Firm,
22. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003.
23. De Ruyter, K., Wetzels, M., & Kleijnen, G. (2001). Customer adoption of e-service: an experimental study. International Journal of Service Industry Management, 12(2), 184-207.
24. DeBrander, B., & Thiers, G. (1984). Successful Information Systems Development in Relation to Situational Factors Which Affect Effective Communication Between MIS-Users and EDP-Specialists. Management Science, 30(2), 137-155.
25. DeLone, W. H. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30.
26. DeLone, W., & McLean, E. (1992). Information systems success: The quest for the dependent variable. Information & Management, 3, 60-95.
27. Dillon, C. (1999). Stretching: towards enterprise flexibility with ERP; APICS–the performance advantage,
28. Doll, W. J., & Torkzadeh, G. (1988). The Measurement of End-User Computing Satisfaction. MIS Quarterly, 12(2), 259-274.
29. Ein-Dor, P., & Segev, E. (1978). Organizational Context and the Success of Management Information Systems. Management Science, 24(10), 1064-1077.
30. Etezadi-Amoli, J., & Farhoomand, A. F. (1996). A structural model of end user computing satisfaction and user performance. Information and Management, 30(2), 65-73.
31. Fogg, B., & Tseng, H. (1999). The elements of computer credibility. Proceedings of the SIGCHI conference on Human factors in computing systems: the CHI is the limit, , 80-87.
32. Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50.
33. Galletta, D. F., & Lederer, A. L. (1989). Some Cautions on the Measurement of User Information Satisfaction. Decision Sciences, 20(3), 419-438.
34. Gelderman, M. (1998). The relation between user satisfaction, usage of information systems and performance. Information & Management, 34(1), 11-18.
35. Gelle, E., & Karhu, K. (2003). Information quality for strategic technology planning. Industrial Management and Data Systems, 103(8), 633-643.
36. Gist, M. E. (1987). Self-Efficacy: Implications for Organizational Behavior and Human Resource Management. The Academy of Management Review, 12(3), 472-485.
37. Hair Jr, J. F., Anderson, R. E., Tatham, R. L., & Black, W. (1998). Multivariate Data Analysis. Multivariate Data Analysis,
38. Hair, J. F. (1998). Multivariate data analysisPrentice Hall Englewood Cliffs, New Jersey.
39. Hampton-Sosa, W., & Koufaris, M. (2005). The Effect of Web Site Perceptions on Initial Trust in the Owner Company. International Journal of Electronic Commerce, 10(1), 55-81.
40. Hayduk, L. A. (1987). Structural Equation Modeling with LISRELJohns Hopkins University Press Baltimore.
41. Hayduk, L. (1987). Structural equation modeling with LISREL: essentials and advancesJohns Hopkins University Baltimore, MD, USA.
42. Hilton, R., & Swieringa, R. (1982). Decision flexibility and perceived information value. Decision Sciences, 13, 357-379.
43. Hu, L., & Bentler, P. M. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives. Structural Equation Modeling, 6(1), p1-55.
44. Igbaria, M., & Iivari, J. (1995). The effects of self-efficacy on computer usage. Omega, 23(6), 587-605.
45. Igbaria, M., & Tan, M. (1997). The consequences of information technology acceptance on subsequent individual performance. Information & Management, 32(3), 113-121.
46. Iivari, J. (2005). An empirical test of the DeLone-McLean model of information system success. ACM SIGMIS Database, 36(2), 8-27.
47. Iivari, J., & Ervasti, I. (1994). User information satisfaction: IS implementability and effectiveness. Information and Management, 27(4), 205-220.
48. Ives, B., Olson, M. H., & Baroudi, J. J. (1983). The measurement of user information satisfaction. Communications of the ACM, 26(10), 785-793.
49. Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000). Consumer trust in an Internet store. Information Technology and Management, 1(1), 45-71.
50. Jiang, J., Klein, G., & Discenza, R. (2001). Information system success as impacted by risks and developmentstrategies. Engineering Management, IEEE Transactions on, 48(1), 46-55.
51. Jöreskog, K. G., & Sörbom, D. (1989). LISREL 7: A Guide to the Program and ApplicationsSPSS Chicago, Illinois.
52. Kandampully, J., & Butler, L. (2001). Service guarantees: a strategic mechanism to minimise customers’ perceived risk in service organisations. Managing Service Quality, 11(2), 112-121.
53. Kaplan, R. S., & Norton, D. P. (2005). The Balanced Scorecard: Measures that Drive PerformanceHarvard Business Review.
54. Kennerley, M., & Neely, A. (2001). Enterprise resource planning: analysing the impact. Integrated Manufacturing Systems, 12(2), 103-113.
55. Kettinger, W. J., & Lee, C. C. (1994). Perceived service quality and user satisfaction with the information services function. Decision Sciences, 25(5), 6.
56. Khalil, O., & Elkordy, M. EIS Information: Use and Quality Determinants. Information Resources Management Journal, 18(2)
57. Kim, Y. H., & Kim, D. J. (2005). A Study of Online Transaction Self-Efficacy, Consumer Trust, and Uncertainty Reduction in Electronic Commerce Transaction. System Sciences, 2005.HICSS'05.Proceedings of the 38th Annual Hawaii International Conference on, , 170c-170c.
58. Lai, J. Y. (2006). Assessment of employees’ perceptions of service quality and satisfaction with e-business. International Journal of Human-Computer Studies, 64(9), 926-938.
59. Lambert, D. M., & Harrington, T. C. (1988). Measuring Nonresponse Bias in Mail Surveyss. n.
60. Landrum, H., & Prybutok, V. R. (2004). A service quality and success model for the information service industry. European Journal of Operational Research, 156(3), 628-642.
61. Lee, Y. W., Strong, D. M., Kahn, B. K., & Wang, R. Y. (2002). AIMQ: A methodology for information quality assessment. Information and Management, 40(2), 133-146.
62. Li, E. Y. (1997). Perceived importance of information system success factors: a meta analysis of group differences. Information and Management, 32(1), 15-28.
63. Lin, H. H., & Wang, Y. S. (2005). Predicting consumer intention to use mobile commerce in Taiwan. Mobile Business, 2005.ICMB 2005.International Conference on, , 406-412.
64. Lucas, H. C. (1976). The Implementation of Computer-based ModelsNational Association of Accountants.
65. Mager, R. F. (1992). No Self-Efficacy, No Performance. Training, 29(4), 32-36.
66. Marakas, G. M., Yi, M. Y., & Johnson, R. D. (1998). The Multilevel and Multifaceted Character of Computer Self-Efficacy: Toward Clarification of the Construct and An Integrative Framework for Research. Information Systems Research, 9(2), 126-163.
67. Martocchio, J. J., & Webster, J. (1992). Effects of feedback and cognitive playfulness on performance in microcomputer software training. Personnel Psychology, 45(3), 553-578.
68. Mason, R. O. (1978). Measuring Information Output: A Communication Systems Approach. Information & Management, 1(5), 219-234.
69. Matlin, G., & O'Lakes Inc, L. (1979). What Is the Value of Investment in Information Systems? MIS Quarterly, 3(3), 5-34.
70. McCollough, M. A., & Gremler, D. D. (2004). A conceptual model and empirical examination of the effect of service guarantees on post-purchase consumption evaluations. Managing Service Quality, 14(1), 58-74.
71. McKnight, H., & Kacmar, C. (2006). Factors of Information Credibility for an Internet Advice Site. Proceedings of the 39th Annual Hawaii International Conference on System Sciences-Volume 06,
72. Melone, N. P. (1990). A Theoretical Assessment of the User-Satisfaction Construct in Information Systems Research. Management Science, 36(1), 76-91.
73. Millman, Z., & Hartwick, J. (1987). The Impact of Automated Office Systems on Middle Managers and Their Work. MIS Quarterly, 11(4), 479-491.
74. Norton, D., & Kaplan, R. (1992). The balanced scorecard: measures that drive performance. Harvard business review, 70(1)
75. Olson, J. M., & Zanna, M. P. (1993). Attitudes and Attitude Change. Annual Review of Psychology, 44(1), 117-154.
76. our FAQ, C., & Zone, R. (2006). The effect of computer self-efficacy on enterprise resource planning usage. Behaviour and Information Technology, 25(5), 407-411.
77. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49(4), 41-50.
78. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1986). Servqual: A Multiple-item Scale for Measuring Customer Perceptions of Service QualityMarketing Science Institute.
79. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: a multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40.
80. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1994). Reassessment of Expectations as a Comparison Standard in Measuring Service Quality: Implications for Further Research. Journal of Marketing, 58(1), 111-124.
81. Petty, R. E., Wegener, D. T., & Fabrigar, L. R. (1997). Attitudes and attitude change. Annual Review of Psychology, 48, 609-647.
82. Pitt, L. F., Watson, R. T., & Kavan, C. B. (1995). Service Quality: A Measure of Information Systems Effectiveness. MIS Quarterly, 19(2), 173-187.
83. Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the Validity of IS Success Models: An Empirical Testand Theoretical Analysis. Information Systems Research, 13(1), 50-69.
84. Rivard, S., & Huff, S. L. (1984). User Developed Applications: Evaluation of Success from the DP Department Perspective. MIS Quarterly, 8(1), 39-50.
85. Robert, S., & David, P. (1992). The Balanced Scorecard-measures that Drive Performance. Harvard business review, 70(1), 71-79.
86. Ronen, J., & Falk, G. (1973). Accounting Aggregation and the Entropy Measure: An Experimental Approach. The Accounting Review, 48(4), 696-717.
87. Rosemann, M., & Wiese, J. (1999). Measuring the performance of ERP software: a Balanced scorecard approach. Proceedings from the 10th Australasian Conference of Information Systems (ACIS), , 773–784.
88. Saks, A. M. (1995). Longitudinal field investigation of the moderating and mediating effects of self-efficacy on the relationship between training and newcomer adjustment. The Journal of applied psychology, 80(2), 211-225.
89. Seddon, P., & Kiew, M. (1994). A Partial Test and Development of the DeLone and McLean model of IS success. JI DeGross, SL Huff and MC Munro. Proceeding of the Fifteenth International Conference on Information Systems, , 99-110.
90. Shankarnarayanan, S. (1999). ERP Systems-Using IT to gain a competitive advantage. Cited in Teltumbde, A.(2000)‘A framework for evaluating ERP projects’, International Journal of Production Research, 38(17), 4509.
91. Shih, Y. Y. (2006). The effect of computer self-efficacy on enterprise resource planning usage. Behaviour & Information Technology, 25(5), 407-411.
92. Shin, H., & Lee, J. (1996). A process model of application software package acquisition and implementation. The Journal of Systems & Software, 32(1), 57-64.
93. Shivers-Blackwell, S. L., & Charles, A. C. (2006). Ready, set, go: examining student readiness to use ERP technology. Journal of Management Development, 25(8), 795-805.
94. Teo, T., & Wong, P. (1998). An empirical study of the performance impact of computerization in the retail industry. Omega, 26(5), 611-621.
95. TORKZADEH, R. (1999). Computer self-efficacy, training effectiveness and user attitudes: an empirical study. Behaviour & Information Technology, 18(4), 299-309.
96. Umble, E. J., Haft, R. R., & Umble, M. M. (2003). Enterprise resource planning: Implementation procedures and critical success factors. European Journal of Operational Research, 146(2), 241-257.
97. Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 342-365.
98. Wang, E. T. G., & Chen, J. H. F. (2006). Effects of internal support and consultant quality on the consulting process and ERP system quality*. Decision Support Systems, 42(2), 1029.
99. Wang, E. T. G., Klein, G., & Jiang, J. J. (2006). ERP Misfit: Country of Origin and Organizational Factors. Journal of Management Information Systems, 23(1), 263.
100. WILFONG, J. D. (2006). Computer anxiety and anger: the impact of computer use, computer experience, and self-efficacy beliefs. Computers in Human Behavior, 22(6), 1001-1011.
101. Wixom, B. H., & Watson, H. J. (2001). An empirical investigation of the factors affecting data warehousing success. MIS Quarterly, 25(1), 17-41.
102. Xu, H. (2002). Data quality issues in implementing an ERP Hongjiang Xu, Jeretta Horn Nord, Noel Brown, G. Daryl Nord The Authors. Industrial Management & Data Systems, 102(1), 47-58.
103. Yoon, S., & Suh, H. (2004). Ensuring IT Consulting SERVQUAL and User Satisfaction: A Modified Measurement Tool. Information Systems Frontiers, 6(4), 341-351.
104. Zimmerman, B. J., Bandura, A., & Martinez-Pons, M. (1992). Self-Motivation for Academic Attainment: The Role of Self-Efficacy Beliefs and Personal Goal Setting. American Educational Research Journal, 29(3), 663-676. |