Restrictiveness and guidance in support systems |
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Authors: | Paul Goodwin Robert Fildes Michael Lawrence Greg Stephens |
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Affiliation: | 1. The Management School, University of Bath, Bath BA2 7AY, United Kingdom;2. Lancaster Centre for Forecasting, Lancaster University Management School, Lancaster University, Lancaster LA1 4YX, United Kingdom;3. School of Information Systems, University of New South Wales, Sydney 2052, Australia |
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Abstract: | Restrictiveness and guidance have been proposed as methods for improving the performance of users of support systems. In many companies computerized support systems are used in demand forecasting enabling interventions based on management judgment to be applied to statistical forecasts. However, the resulting forecasts are often ‘sub-optimal’ because many judgmental adjustments are made when they are not required. An experiment was used to investigate whether restrictiveness or guidance in a support system leads to more effective use of judgment. Users received statistical forecasts of the demand for products that were subject to promotions. In the restrictiveness mode small judgmental adjustments to these forecasts were prohibited (research indicates that these waste effort and may damage accuracy). In the guidance mode users were advised to make adjustments in promotion periods, but not to adjust in non-promotion periods. A control group of users were not subject to restrictions and received no guidance. The results showed that neither restrictiveness nor guidance led to improvements in accuracy. While restrictiveness reduced unnecessary adjustments, it deterred desirable adjustments and also encouraged over-large adjustments so that accuracy was damaged. Guidance encouraged more desirable system use, but was often ignored. Surprisingly, users indicated it was less acceptable than restrictiveness. |
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Keywords: | Restrictiveness Guidance Judgmental forecasting Sales promotions System design |
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