Client/server system success: Exploring the human side

Decision Sciences

Volumn 28, Issue 4, 1997, Pages 851-876

  Guimaraes, Tor ^a   Igbaria, Magid ^b  

^a TENNESSEE TECHNOLOGICAL UNIVERSITY   (United States)

^b CLAREMONT GRADUATE UNIVERSITY   (United States)

Author keywords

Client server Systems; Implementation Success; IT Job Impact; Success Factors

Indexed keywords

EID: 0031324948     PISSN: 00117315     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1540-5915.1997.tb01334.x     Document Type: Article

References (96)

1. 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), 227-247.
2. Alwin, D. E., & Hauser, R. M. (1975). Decomposition of effects in path analysis. American Sociological Review, 40(2), 37-47.
3. Atre, S. (1994). Twelve steps to successful client/server. DBMS, 7(5), 70-76.
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. Barki, H., & Hartwick, J. (1989). Rethinking the concept of user involvement. MIS Quarterly, 13(1), 53-63.
6. Baronas, A. M. K., & Louis, M. R. (1988). Restoring a sense of control during implementation: How user involvement leads to system acceptance. MIS Quarterly, 12(1), 111-124.
7. Barsanti, J. B. (1990). Expert systems: Critical success factors for their implementation. Information Executive, 3(1), 30-34.
8. Baum, D., & Teach, E. (1996). Putting client/server in charge. CFO, 12(1), 45-53.
9. Benbasat, I., & Dexter, A. S. (1982). Individual differences in the use of decision support aids. Journal of Accounting Research, 20, 1-11.
10. Bikson, T. K., Stasz, C., & Mankin, D. A. (1985). Computer-mediated work: Individual and organizational impact in one corporate headquarters. Santa Monica, CA: Rand.
11. Brousell, D. R. (1995). Can we justify client/server? Software Magazine, 15(9), S3-S24.
12. Bucken, M. (1996). Textron stays on client/server course, as legacy application migration nears completion, IS officials reflect on the journey. Software Magazine, 16(3), 42-43.
13. Byrd, T. A. (1992). Implementation and use of expert systems in organizations: Perceptions of knowledge engineers. Journal of Management Information Systems, 8(4), 97-116.
14. Cheney, P. H., Mann, R. I., & Amoroso, D. L. (1986). Organizational factors affecting the success of end-user computing. Journal of Management Information Systems, 3(1), 68-80.
15. Chervany, N. L., & Dickson, G. W. (1974). An experimental evaluation of information overload in a production environment. Management Science, 20(10), 1335-1349.
16. Cox, J. (1995). Client/server is pricey but effective. Network World, 12(49), 29-32.
17. Davis, F. D., Bargozzi, R. P., & Warshaw, P. R., (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
18. Davis, S. A., & Bostrom, R. P. (1993). Training end users: An experimental investigation of the roles of computer interface and training methods. MIS Quarterly, 17(1), 61-85.
19. DeLone, W. H. (1988). Determinants of success for computer usage in small business. MIS Quarterly, 12(1), 51-61.
20. Delone, W., & McLean, E. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
21. DePree, R. (1988). Implementing expert systems. Micro User's Guide, Summer Edition.
22. Doll, W. J., & Torkzadeh, G. (1989). Discrepancy model of end-user computing involvement. Management Science, 35(10), 1151-1171.
23. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intentions and behavior: An introduction to theory and research, Boston: Addison-Wesley.
24. Fornell, C. R. (Ed.) (1982). A second generation of multivariate analysis, Volume I and II: Methods. New York: Praeger Special Studies.
25. Fornell, C. R., Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440-452.
26. Fornell, C. R., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
27. Franz, C. R., & Robey, D. (1986). Organizational context, user involvement, and the usefulness of information systems. Decision Sciences, 17(4), 329-356.
28. Fuerst, W., & Cheney, P. (1982). Factors affecting the perceived utilization of computer-based decision support systems in the oil industry. Decision Sciences, 13(4), 554-569.
29. Galletta, D. F., & Lederer, A. L. (1989). Some cautions on the measurement of user information satisfaction. Decision Sciences, 20(3), 419-438.
30. Ginzberg, M. J. (1981). Early diagnosis of MIS implementation failure: Promising results and unanswered questions. Management Science, 27, 459-478.
31. Gist, M. E. (1987). Self-efficacy: Implications for organizational behavioral and human resource management. Academy of Management Review, 12(4), 472-485.
32. Glaser, M. (1996). Client/server hits growing pains. InfoWorld, 17/18(52/1), 48.
33. Green, G. I. (1989). Perceived importance of system analysts' job skills, roles and non-salary incentives. MIS Quarterly, 13(2), 115-133.
34. Guimaraes, T., Igbaria, M., & Lu, M. (1992). Determinants of DSS success: An integrated model. Decision Sciences, 23(2), 409-430.
35. Hackman, J. R., & Oldham, G. R. (1980). Work redesign. Reading, MA: Addison-Wesley.
36. Hamilton, S., & Chervany, N. L. (1981). Evaluating information system effectiveness: Comparing evaluation approaches, MIS Quarterly, 5(1), 55-69.
37. Hubona, G. S., & Cheney, P. H. (1994). System effectiveness of knowledge-based technology: The relationship of user performance and attitudinal measures. Proceedings of the 27th Annual International Conference on Systems Sciences, Honolulu, HI, Vol. 3, 532-541.
38. Hufnagel, E. (1994). The hidden costs of client/server. Network Computing Client Server, (suppl.) 22-27.
39. Igbaria, M. (1990). End-user computing effectiveness: A structural equation model. OMEGA, 18(6), 637-652.
40. Igbaria, M., & Chakrabarti, A. (1990). Computer anxiety and attitudes towards microcomputer use. Behavior and Information Technology, 9(3), 229-241.
41. Igbaria, M., & Guimaraes, T. (1994). Empirically testing the impact of user involvement on DSS success. OMEGA, 22(2), 157-172.
42. Igbaria, M., Guimaraes, T., & Davis, G. (1995). Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information Systems, 11(4), 87-114.
43. Igbaria, M., Pavri, F., & Huff, S. (1989). Microcomputer application: An empirical look at usage. Information & Management, 16(4), 187-196.
44. Ives, B., Olson, M. H., & Baroudi, J. J. (1983). The measurement of user information satisfaction. Communications of the ACM, 26(10), 785-793.
45. Kaiser, K. M., & Bostrom, R. P. (1982). Personality characteristics of MIS project teams: An empirical study and action-research design. MIS Quarterly, 6(4), 43-60.
46. Kendall, K. E., Buffington, J. R., & Kendall, J. E. (1987). The relationship of organizational subcultures to DSS user satisfaction. Human Systems Management, 7, 31-39.
47. Keyes, J. (1989). Why expert systems fail. AI Expert, 4(11), 50-53.
48. Kraemer, L., Danziger, J. N., Dunkle, D. E., & King, J. L. (1993). The usefulness of computer-based information to public managers. MIS Quarterly, 17(2), 129-148.
49. Kraut, R., Dumais, S., & Kock, S. (1989). Computerization, productivity, and quality of worklife. Communications of the ACM, 32(2), 220-238.
50. Lee, D. S. (1986). Usage patterns and sources of assistance to personal computer users. MIS Quarterly, 10(4), 313-325.
51. Leitheiser, R. L., & Wetherbe, J. C. (1986). Service support levels: An organized approach to end-user computing. MIS Quarterly, 10(4), 337-349.
52. Liang, P. L. (1986). Critical success factors of decision support systems: An experimental study. Data Base, 17(2), 3-16.
53. Lohmoller, J. B. (1981). LVPLS 1.6: Latent variables path analysis with partial least squares estimation. Munich: University of Federal Armed Forces.
54. Lohmoller, J. B. (1989). Latent variable path modeling with partial least squares. Heidelberg, Germany: Physica-Verlag.
55. Lucas, H. C. (1978). Empirical evidence for a descriptive model of implementation. MIS Quarterly, 2(2), 27-41.
56. Mahmood, M. A., & Sniezek, J. A. (1989). Defining decision support systems: An empirical assessment of end-user satisfaction. Information Systems & Operational Research (INFOR), 27(3), 253-271.
57. Maish, A. M. (1979). A user's behavior toward his MIS. MIS Quarterly, 3(1), 39-52.
58. Markus, M. L. (1983). Power, politics, and MIS implementation. Communications of the ACM, 26(6), 430-444.
59. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
60. McKeen, J. D., Guimaraes, T., & Wetherbe, J. C. (1994). The relationship between user participation and user satisfaction: An investigation of four contingency factors. MIS Quarterly, 18(4), 427-451.
61. Millman, Z., & Hartwick, J. (1987). The impact of automated office systems on middle managers and their work. MIS Quarterly, 11(4), 479-491.
62. Mykytyn, P. P. (1988). End-user perceptions of DSS training and DSS usage. Journal of System Management, 39(6), 32-35.
63. Nelson, R. R. (1990). Individual adjustment to information-driven technologies: A critical review. MIS Quarterly, 14(1), 87-98.
64. Nelson, R., & Cheney, P. (1987). Training end users: An exploratory study. MIS Quarterly, 11(4), 547-559.
65. Nielsen, C. (1994). Improved service pays for C/S migration. Application Development Trends, 1(7), 32-33.
66. Nunamaker, J., Couger, J. D., & Davis, G. B. (1982). Information systems curriculum recommendations for the 80s: Undergraduate and graduate programs. Communications of the ACM, 25(11), 781-794.
67. Nunnally, J. C. (1978). Psychometric theory. New York: McGraw-Hill.
68. Plewa, J., & Pliskin, S. (1995). Client/server everything. CIO, 8(18), 30-34.
69. Radosevich, L. (1995). Beat the clock. CIO, 9(4), 64-70.
70. Raymond, L. (1985). Organizational characteristics and MIS success in the context of small business. MIS Quarterly, 9(1), 37-52.
71. Rivard, S., & Huff, S. (1988). Factors of success for end-user computing. Communications of the ACM, 31(5), 552-561.
72. Robey, D. (1979). User attitudes and MIS use. Academy of Management Journal, 22(3), 527-538.
73. Ross, D. R. (1975). Direct, indirect, and spurious effects: Comments on causal analysis of interorganizational relations. Administrative Science Quarterly, 20, 295-297.
74. Sanders, G. I., & Courtney, J. F. (1985). A field study of organizational factors influencing DSS success. MIS Quarterly, 9(1), 77-93.
75. Saraph, J. V., & Sebastian, R. J. (1992). Human resource strategies for effective introduction of advanced manufacturing technologies (AMT). Production and Inventory Management Journal, 12(1), 64-70.
76. Schewe, C. D. (1976). The MIS user: An exploratory behavioral analysis. Academy of Management Journal, 19(4), 577-590.
77. Seymour, P. (1994). Redeveloping legacy systems to client/server. Application Development Trends, 1(6), 54-59.
78. Sinha, A., (1992). Client/server computing. Communications of the ACM, 35(7), 77-79.
79. Sloane, S. B. (1991). The use of artificial intelligence by the United States Navy: Case study of a failure. AI Magazine, 12(1), 80-92.
80. Smith, D. L. (1988). Implementing real-world expert systems. AI Expert, 3(2), 51-57.
81. SMR (1995). Report by Sentry Market Research.
82. Spector, P. (1987). Method variance as an artifact in self-reported affect and perceptions at work: Myth or significant problem. Journal of Applied Psychology, 72(5), 438-443.
83. Srinivasan, A. (1985). Alternative measures of system effectiveness: Associations and implications. MIS Quarterly, 9(3), 243-253.
84. Sviokla, J. (1990). The examination of the impact of expert systems on the firm: The case of XCON. MIS Quarterly, 14(2), 126-140.
85. Swanson, E. B. (1988). Information system implementation: Bridging the gap benveen design and utilization. Homewood, IL: Irwin.
86. Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125-143.
87. Triandis, H. C. (1980). Values, attitudes, and interpersonal behavior. Nebraska symposium on motivation, beliefs, attitudes, and values. Lincoln, NE: University of Nebraska Press, 195-259.
88. Tukey, J. W. (1958). Bias and confidence in not-quite large samples. Annals of Mathematical Statistics, 29(2), 614.
89. White, K. B., & Leifer, R. (1986). Information systems development success: Perspectives from project team participants. MIS Quarterly, 10(3), 215-223.
90. Wildt, A. R., Lambert, Z. V., & Durand, R. M. (1982). Applying the jackknife statistics in testing and interpreting canonical weights, loadings and cross-loadings. Journal of Marketing Research, 19(3), 99-107.
91. Willet, S. (1994). Strong IS support found for move to client/server platform. InfoWorld, 16(31), 53.
92. Wold, H. (1982). Soft modeling - The basic design and some extensions. In K. G. Jöreskog & H. Wold (Eds.), Systems Under Indirect Observation - II. Amsterdam: North-Holland, 1-54.
93. Yoon, Y., & Guimaraes, T. (1995). Assessing expert systems impact on users' jobs. Journal of Management Information Systems, 12(1), 225-249.
94. Yoon, Y., Guimaraes, T., & Clevenson, A. (1996). Assessing determinants of desirable ES impact on end-users' jobs (Dupont). European Journal of Information Systems, 5, 273-285.
95. Yoon, Y., Guimaraes, T., & O'Neal, Q. (1995). Exploring the factors associated with expert systems success. MIS Quarterly, 19(1), 83-106.
96. Zmud, R. W. (1979). Individual differences and MIS success: A review of the empirical literature. Management Sciences, 25(10), 966-979.