This article presents the results of a survey to determine the degree of familiarity and usage, accuracy obtained, and evaluation of different forecasting techniques. It was found that regression analysis, subjective techniques, exponential smoothing, and moving average were well known and used for
Forecasting technique familiarity, satisfaction, usage, and application
โ Scribed by John T. Mentzer; Kenneth B. Kahn
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 696 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0277-6693
No coin nor oath required. For personal study only.
โฆ Synopsis
A ten-year retrospective study of Mentzer and Cox (1984) was undertaken to answer the question 'Have sales forecasting practices changed over the past ten years?' A mail survey of 207 forecasting executives was employed to investigate this important question. Findings revealed both discrepancies and similarities between today's sales forecasting practices and those of ten years ago. One particular finding indicated greater reliance on and satisfaction with quantitative forecasting techniques today versus ten years ago. Another indicated that forecasting accuracy has not improved over the past ten years, even though the familiarity and usage of various sophisticated sales forecasting techniques have increased. Future research and managerial implications are discussed based on these and other findings. KEY WORDS forecasting techniques; accuracy; usage; satisfaction ' Mentzer and Cox distinguished these four issues as follows: (1) familiarity: how familiar executives are with various forecasting techniques and what avenues are used to learn about new methods and applications; (2) satisfaction: how satisfied managers are with using different forecasting techniques; (3) usage: which forecasting techniques are most commonly used for different time horizons and forecast levels; and (4) application: what degrees of forecast accuracy are achieved, and what other criteria, besides accuracy, are used to evaluate techniques.
๐ SIMILAR VOLUMES
Set up a tracking system and use an adaptive process if applicable. Emphasize that ex-post adjustments by management are to be done only at their own risk. Distribute the forecasting results only to those who need them, along with detailed explanations about how they were derived (no black boxes). S