Toward an empirical understanding of computer simulation implementation success

Information and Management

Volumn 37, Issue 3, 2000, Pages 135-151

  McHaney, Roger ^a   Cronan, Timothy Paul ^b  

^a KANSAS STATE UNIVERSITY   (United States)

^b UNIVERSITY OF ARKANSAS   (United States)

Author keywords

Computer simulation; Decision support systems; End user computing satisfaction; Information systems success

Indexed keywords

EID: 0000061695     PISSN: 03787206     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-7206(99)00041-5     Document Type: Article

References (61)

1. S. Alter, A taxonomy of decision support systems, Sloan Management Review, Fall, 1977, pp. 37-56.
2. E. Babbie, Survey Research Methods, Wadsworth, Belmont, CA, 1990.
3. O. Balci, Guidelines for successful simulation studies, in: Proceedings of the 1990 Winter Simulation Conference, Society for Computer Simulation, San Diego, CA, 1990, pp. 25-32.
4. J. Banks, Selecting simulation software, in: Proceedings of the 1991 Winter Simulation Conference, Society for Computer Simulation, San Diego, CA, 1991, pp. 15-20.
5. Blili S., Raymond L., Rivard S. Impact of task uncertainty, end-user involvement, and competence on the success of end-user computing. Information & Management. 33(3):1998;137-153.
6. K.A. Bollen, Structural Equations with Latent Variables, Wiley, New York, 1989.
7. J.S. Carson, Convincing users of a model's validity is challenging aspect of modeler's job, Industrial Engineering, June, 1986, pp. 74-75.
8. Christy D., Watson H. The application of simulation: a survey of industry practice. Interfaces. 13(5):1983;47-52.
9. T.D. Cook, D.T. Campbell, Quasi-Experimentation: Design and Analysis Issues in Field Settings, Houghton Mifflin, Boston, MA, 1979.
10. Cronbach L.J. Coefficient alpha and the internal consistency of tests. Psychometrika. 16:1951;297-334.
11. F.D. Davis, Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, September, 1989, pp. 319-340.
12. W.J. Doll, G. Torkzadeh, The measurement of end-user computing satisfaction, MIS Quarterly, June, 1988, pp. 259-274.
13. W.J. Doll, W. Xia, G. Torkzadeh, A confirmatory factor analysis of the end-user computing satisfaction instrument, MIS Quarterly, June, 1994, pp. 453-461.
14. R. Dubin, Theory Building, Free Press, New York, 1978.
15. T. Duff, Avoid the pitfalls of simulation, Automation, November, 1991, pp. 32-36.
16. Farina R., Kochenberger G.A., Obremski T. The computer runs the Bolder Boulder: a simulation of a major running race. Interfaces. 19(2):1989;48-55.
17. Floyd S., Turner C., Davis K. Model-based decision support systems: an effective implementation framework. Computers in Operations Research. 15(5):1989;481-491.
18. Fossett C.A., Harrison D., Weintrob H., Gass S.I. An assessment procedure for simulation models: a case study. Operations Research. 39(5):1991;710-723.
19. Franz C.R., Robey D. Organizational context, user involvement, and the usefulness of information systems. Decision Sciences. 17(2):1986;329-356.
20. T.J. Gogg, C. Sands, Hughes Aircraft designs automated storeroom system through simulation application, Industrial Engineering, August, 1990, pp. 49-57.
21. J. Gouskos, Three benefits every simulation buyer should understand, Industrial Engineering, July, 1992, p. 34.
22. J.W. Grant, S.A. Weiner, Factors to consider in choosing a graphically animated simulation system, Industrial Engineering, August, 1986, pp. 37-40, 65-68.
23. Gray P., Borovits I. The contrasting roles of monte carlo simulation and gaming in decision support systems. Simulation. 47(6):1986;233-239.
24. Guimaraes T., Igbaria M., Lu M. The determinants of DSS success: an integrated model. Decision Sciences. 23(2):1992;409-430.
25. S.W. Haider, J. Banks, Simulation software products for analyzing manufacturing systems, Industrial Engineering, July, 1986, pp. 98-103.
26. J. Higdon, Planning a material handling simulation, Industrial Engineering, November, 1988, pp. 55-59.
27. Horn J.L. A rationale and test for the number of factors in factor analysis. Psychometrika. 30(2):1965;179-185.
28. W.C. House, Business Simulation for Decision Makers, PBI-Petrocelli, New York, 1977.
29. C.H. Jones, At last real computer power for decision makers, Harvard Business Review, September-October, 1970, pp. 75-89.
30. L. Keller, C. Harrell, J. Leavy, The three best reasons why simulation fails, Industrial Engineering, April, 1991, pp. 27-31.
31. F.N. Kerlinger, Foundations of Behavioral Research, Harcourt, Brace and Jovanovich, Fort Worth, TX, 1986.
32. A.M. Law, S.W. Haider, Selecting simulation software for manufacturing applications: practical guidelines and software survey, Industrial Engineering, May, 1989, pp. 33-46.
33. A.M. Law, W.D. Kelton, Simulation Modeling and Analysis, 2nd ed., McGraw-Hill, New York, 1993.
34. A.M. Law, M.G. McComas, How to select simulation software for manufacturing applications, Industrial Engineering, July, 1992, pp. 29-35.
35. Lin L., Cochran J., Sarkis J. A metamodel-based decision support system for shop floor production control. Computers in Industry. 18:1992;155-168.
36. Lucas H.C. Empirical evidence for a descriptive model of implementation. MIS Quarterly. 2(2):1978;27-41.
37. Lynch R. Implementing packaged application software: hidden costs and new challenges. Systems, Objectives, Solutions. 4:1984;227-234.
38. K. Mabrouk, Mentorship: a stepping stone to simulation success, Industrial Engineering, February, 1994, pp. 41-43.
39. Mackulak G.T., Cochran J.K., Savory P.A. Ascertaining important features for industrial simulation environments. Simulation. 63(4):1994;211-221.
40. R.I. Mann, H.J. Watson, A contingency model for user involvement in DSS development, MIS Quarterly, March, 1984, pp. 27-37.
41. R. McHaney, T.P. Cronan, Computer simulation success: on the use of the end-user computing satisfaction instrument, Decision Sciences 29 (2), 1998, pp. 525-534.
42. McHaney R., Hightower R., White D. EUCS test-retest reliability in representational model decision support systems. Information & Management. 36:1999;109-119.
43. Might R.J. Principles for the design and selection of combat simulations. Simulation & Gaming. 24(2):1993;190-212.
44. Min H. Selection of software: the analytic hierarchy process. International Journal of Physical Distribution & Logistics Management. 22(1):1992;42-52.
45. J. Mott, K. Tumay, Developing a strategy for justifying simulation, Industrial Engineering, July, 1992, pp. 38-42.
46. K. Musselman, Conducting a successful simulation project, in: Proceedings of the 1992 Winter Simulation Conference, Society for Computer Simulation, San Diego, CA, 1992, pp. 115-121.
47. B.U. Nwoke, D.R. Nelson, An overview of simulation in manufacturing, Industrial Engineering, July, 1993, pp. 43-57.
48. Randhawa S., Mechling A., Joerger R. A simulation-based resource planning system for Oregon motor vehicles division. Interfaces. 19(6):1989;40-51.
49. Rivard S., Huff S.L. User developed applications: evaluation of success from the DP perspective. MIS Quarterly. 8(1):1984;39-50.
50. J. Rodrigues (Ed.), Directory of Simulation Software, vol. 4, The Society for Computer Simulation, San Diego, CA, 1993.
51. Sanders L.G., Courtney J.F. A field study of organizational factors influencing DSS success. MIS Quarterly. 9(1):1985;77-93.
52. SAS Institute, SAS User's Guide, vol. 1, ACECLUS-FREQ, version 6, 4th ed., SAS Institute, Inc., Cary, NA, 1994.
53. Schultz R.L. System simulation: the use of simulation for decision making. Behavioral Science. 19:1974;344-350.
54. D.W. Straub, Validating instruments in MIS research, MIS Quarterly, June, 1989, pp. 147-166.
55. P. Sussman, Evaluating decision support software, Datamation, 15 October 1984, pp. 171-172.
56. J. Swain, Flexible tools for modeling, OR/MS Today, December, 1993, pp. 62-78.
57. Tait P., Vessey I. The effect of user involvement on system success: a contingency approach. MIS Quarterly. 12(1):1988;91-108.
58. Velicer W.F. Determining the number of components from the matrix of partial correlations. Psychometrika. 41(3):1976;321-327.
59. H.J. Watson, D. Christy, The evolving use of simulation, Simulation and Games, September, 1982, pp. 351-363.
60. A. Wilt, D. Goddin, Health care case study: simulating staffing needs and work flow in an outpatient diagnostic center, Industrial Engineering, May, 1989, pp. 22-26.
61. B.D. Withers, A.A.B. Pritsker, D.H. Withers, A structured definition of the modeling process, in: Proceedings of the 1993 Winter Simulation Conference, Society for Computer Simulation, San Diego, CA, 1993, pp. 1109-1117.