Influence of user participation on DSS use and decision accuracy

Omega

Volumn 30, Issue 5, 2002, Pages 381-392

  Lawrence, Michael ^a   Goodwin, Paul ^b   Fildes, Robert ^c  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b UNIVERSITY OF BATH   (United Kingdom)

^c LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

Forecast accuracy; Forecast satisfaction; Laboratory study; User involvement

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORECASTING;

DECISION ACCURACIES; FORECAST ACCURACY; FORECAST SATISFACTION; FORECASTING MODELS; LABORATORY STUDIES; MODEL SELECTION; USER CONTROL; USER INVOLVEMENT; USER PARTICIPATION; USERS' SATISFACTIONS;

DECISION SUPPORT SYSTEMS;

EID: 0036808578     PISSN: 03050483     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0305-0483(02)00048-8     Document Type: Article

References (40)

1. Diamantopoulos A, Winklhofer H. The impact of firm and export characteristics on the accuracy of export sales forecasts: evidence from UK exporters. International Journal of Forecasting 1999;15:67-81.
2. Makridakis S. Forecasting, planning and strategy for the 21st century. London, UK: The Free Press, Collier Macmillan, 1990.
3. Remus W, Simkin M. Integrating forecasting and decision making. In: Makridakis S, Wheelwright S, editors. The Handbook of Forecasting: a Manager's Guide, 2nd ed. New York: Wiley, 1987.
4. Lawrence M, O'Connor MJ, Edmundson R. A field study of sales forecasting accuracy and processes. European Journal of Operations Research 2000;122(1):151-60.
5. Dalrymple DJ. Sales forecasting practices: results of a United States survey. International Journal of Forecasting 1987;3: 379-92.
6. Sanders N, Manrodt K. Forecasting practices in US corporations: survey results. Interfaces 1994;24:92-100.
7. Fildes R, Beard C. Forecasting systems for production and inventory control. International Journal of Operations and Production Management 1992;12(5):4-27.
8. Fildes R, Hastings R. The organisation and improvement of market forecasting. Journal of the Operational Research Society 1994;45:1-16.
9. Turban E. Decision support and expert systems: management support systems, 4th ed. Engelwood Cliffs, NJ, USA: Prentice-Hall, Inc., 1995.
10. Goodwin P. Improving the voluntary integration of statistical forecasts and judgement. International Journal of Forecasting 2000;16:85-99.
11. Goodwin P, Fildes R. Judgmental forecasts of time series affected by special events: does providing a statistical forecast improve accuracy? Journal of Behavioral Decision Making 1999;12:37-53.
12. Lawrence M, Sim W. Prototyping a financial DSS. Omega 1999;27(4):445-50.
13. Lim JS, O'Connor MJ. Judgemental adjustment of initial forecasts: its effectiveness and biases. Journal of Behavioural Decision Making 1995;8:149-68.
14. Schultz RL. The implementation of forecasting models. Journal of Forecasting 1984;3:43-55.
15. Locke E, Schweiger D. Participation in decision making: one more look. Research in Organisation Behaviour 1979;1:265-339.
16. DeLone W, McLean E. Information systems success: the quest for the dependent variable. Information Systems Research 1992;3:60-95.
17. Lawrence M, Low G. Exploring individual satisfaction within use-led development. MIS Quarterly 1993;17:195-208.
18. Hunton J, Beeler J. Effects of user participation in systems development: a longitudinal field experiment. MIS Quarterly 1997;21:359-88.
19. Igbaria M, Guimaraes T. Empirically testing the outcomes of user involvement in DSS development. Omega 1994;22: 157-73.
20. Tait P, Vessey I. The effect of user involvement on systems success: a contingency approach. MIS Quarterly 1988;12: 91-107.
21. Hunton J, Price K. Effects of the user participation process and task meaningfulness on key information systems outcomes. Management Science 1997;43:797-811.
22. Seddon P. A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research 1997;8:240-53.
23. Goldberg L. Simple models or simple processes? Some research on clinical judgements. American Psychologist 1968;3:483-96.
24. Arkes HR, Dawes RM, Christensen C. Factors influencing the use of a decision rule in a probabilistic task. Organizational Behaviour and Human Decision Processes 1986;37:93-110.
25. Davis F, Kottemann J. Determinants of decision rule use in a production planning task. Organizational Behavior and Human Decision Processes 1995;63:145-57.
26. Lim JS, O'Connor MJ. Judgemental forecasting with interactive forecasting support systems. Decision Support Systems 1996;16:339-57.
27. Davis F. Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly 1989;13:319-40.
28. Davis F. User acceptance of information technology: system characteristics, user perceptions and behavioural impacts. International Journal of Man-Machine Studies 1993;38: 475-87.
29. Makridakis S, Wheelwright SC, Hyndman RJ. Forecasting: methods and applications. New York: Wiley, 1998.
30. Remus W, O'Connor MJ, Griggs K. The impact of incentives on the accuracy of subjects in judgemental forecasting experiments. International Journal of Forecasting 1998;14: 515-22.
31. Fildes R. The evaluation of extrapolative forecasting methods. International Journal of Forecasting 1992;8:81-98.
32. Tversky A, Kahneman D. Judgement under uncertainty: heuristics and biases. Science 1974;185:1124-31.
33. Nunnally J. Psychometric theory. New York, NY: McGraw Hill, 1978.
34. Taylor PF, Thomas ME. Short-term forecasting: horses for courses. Journal of the Operational Research Society 1982;33:685-94.
35. Kleinmuntz B. Why we still use our heads instead of formulas: toward an integrative approach. Psychological Bulletin 1990;107:296-310.
36. Watson MC. Forecasting in the Scottish electronics industry. International Journal of Forecasting 1996;12:361-71.
37. Sanders N, Ritzman L. Judgmental adjustments of statistical forecasts. In: Armstrong JS, editor. Principles of forecasting: a handbook for researchers and practitioners. Norwell, MA: Kluwer Academic Publishers, 2001.
38. Goodwin P, Wright G. Improving judgmental time series forecasting: a review of the guidance provided by research. International Journal of Forecasting 1993;9:147-61.
39. Beach LR, Barnes VE, Christensen-Szalanski JJJ. Beyond heuristics and biases: a contingency model of judgmental forecasting. Journal of Forecasting 1986;5:143-57.
40. Fildes R, Goodwin P, Lawrence M. Design features of forecasting support systems and their effectiveness-a research agenda. Lancaster University Working Paper, Lancaster, 2002.