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Integrating management judgment and statistical methods to improve short-term forecasts

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  • Goodwin, Paul

Abstract

The complementary strengths that management judgment and statistical methods can bring to the forecasting process have been widely discussed. This paper reviews research on the effectiveness of methods that are designed to allow judgment and statistical methods to be integrated when short-term point forecasts are required. The application of both voluntary and mechanical integration methods are considered and conditions identified where the use of particular methods is appropriate, according to current research. While acknowledging the power of mechanical integration methods that exclude the judgmental forecaster from the integration process, the paper suggests that future research effort should focus on the design of forecasting support systems that facilitate voluntary integration.

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  • Goodwin, Paul, 2002. "Integrating management judgment and statistical methods to improve short-term forecasts," Omega, Elsevier, vol. 30(2), pages 127-135, April.
    • Handle: RePEc:eee:jomega:v:30:y:2002:i:2:p:127-135
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    1. Willemain, Thomas R., 1989. "Graphical adjustment of statistical forecasts," International Journal of Forecasting, Elsevier, vol. 5(2), pages 179-185.
    2. Goodwin, Paul & Wright, George, 1993. "Improving judgmental time series forecasting: A review of the guidance provided by research," International Journal of Forecasting, Elsevier, vol. 9(2), pages 147-161, August.
    3. Mady, M. Tawfik, 2000. "Sales forecasting practices of Egyptian public enterprises: survey evidence," International Journal of Forecasting, Elsevier, vol. 16(3), pages 359-368.
    4. M C Hughes, 2001. "Forecasting practice: organisational issues," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(2), pages 143-149, February.
    5. Sanders, Nada R. & Ritzman, Larry P., 1992. "Journal of behavioral decision making: "The need for contextual and technical knowledge in judgmental forecasting", 5 (1992) 39-52," International Journal of Forecasting, Elsevier, vol. 8(4), pages 651-652, December.
    6. Goodwin, Paul, 2000. "Correct or combine? Mechanically integrating judgmental forecasts with statistical methods," International Journal of Forecasting, Elsevier, vol. 16(2), pages 261-275.
    7. Lawrence, M. & O'Connor, M., 1996. "Judgement or models: The importance of task differences," Omega, Elsevier, vol. 24(3), pages 245-254, June.
    8. O'Connor, Marcus & Remus, William & Griggs, Ken, 1993. "Judgemental forecasting in times of change," International Journal of Forecasting, Elsevier, vol. 9(2), pages 163-172, August.
    9. McNees, Stephen K., 1990. "The role of judgment in macroeconomic forecasting accuracy," International Journal of Forecasting, Elsevier, vol. 6(3), pages 287-299, October.
    10. M. J. Lawrence & R. H. Edmundson & M. J. O'Connor, 1986. "The Accuracy of Combining Judgemental and Statistical Forecasts," Management Science, INFORMS, vol. 32(12), pages 1521-1532, December.
    11. Rowe, Gene & Wright, George, 1996. "The impact of task characteristics on the performance of structured group forecasting techniques," International Journal of Forecasting, Elsevier, vol. 12(1), pages 73-89, March.
    12. Pieter T. Elgers & May H. Lo & Dennis Murray, 1995. "Note on Adjustments to Analysts' Earnings Forecasts Based Upon Systematic Cross-Sectional Components of Prior-Period Errors," Management Science, INFORMS, vol. 41(8), pages 1392-1396, August.
    13. Nada R. Sanders & Karl B. Manrodt, 1994. "Forecasting Practices in US Corporations: Survey Results," Interfaces, INFORMS, vol. 24(2), pages 92-100, April.
    14. Klassen, Robert D. & Flores, Benito E., 2001. "Forecasting practices of Canadian firms: Survey results and comparisons," International Journal of Production Economics, Elsevier, vol. 70(2), pages 163-174, March.
    15. Eggleton, Irc, 1982. "Intuitive Time-Series Extrapolation," Journal of Accounting Research, Wiley Blackwell, vol. 20(1), pages 68-102.
    16. Fred Collopy & J. Scott Armstrong, 1992. "Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations," Management Science, INFORMS, vol. 38(10), pages 1394-1414, October.
    17. Robin M. Hogarth & Spyros Makridakis, 1981. "Forecasting and Planning: An Evaluation," Management Science, INFORMS, vol. 27(2), pages 115-138, February.
    18. Harvey, Nigel, 1995. "Why Are Judgments Less Consistent in Less Predictable Task Situations?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 63(3), pages 247-263, September.
    19. Dalrymple, Douglas J., 1987. "Sales forecasting practices: Results from a United States survey," International Journal of Forecasting, Elsevier, vol. 3(3-4), pages 379-391.
    20. Lawrence, Michael & O'Connor, Marcus, 1992. "Exploring judgemental forecasting," International Journal of Forecasting, Elsevier, vol. 8(1), pages 15-26, June.
    21. Willemain, Thomas R., 1991. "The effect of graphical adjustment on forecast accuracy," International Journal of Forecasting, Elsevier, vol. 7(2), pages 151-154, August.
    22. Belton, Valerie & Goodwin, Paul, 1996. "Remarks on the application of the analytic hierarchy process to judgmental forecasting," International Journal of Forecasting, Elsevier, vol. 12(1), pages 155-161, March.
    23. Remus, William & Carter, Phillip & Jenicke, Lawrence, 1979. "Regression models of decision rules in unstable environments," Journal of Business Research, Elsevier, vol. 7(2), pages 187-196.
    24. Robert C. Blattberg & Stephen J. Hoch, 1990. "Database Models and Managerial Intuition: 50% Model + 50% Manager," Management Science, INFORMS, vol. 36(8), pages 887-899, August.
    25. Jorge A. Duran & Benito E. Flores, 1998. "Forecasting Practices in Mexican Companies," Interfaces, INFORMS, vol. 28(6), pages 56-62, December.
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