The accuracy of combining judgemental and statistical forecasts
Management Science
Trust between humans and machines, and the design of decision aids
International Journal of Man-Machine Studies - Special Issue: Cognitive Engineering in Dynamic Worlds
Database models and managerial institution: 50% model + 50% manager
Management Science
Decisional guidance for computer-based decision support
MIS Quarterly
Judgmental forecasting with interactive forecasting support systems
Decision Support Systems
On the effectiveness of decisional guidance
Decision Support Systems
The division of labor between human and computer in the presence of decision support system advice
Decision Support Systems
Evaluating the Impact of Dss, Cognitive Effort, and Incentives on Strategy Selection
Information Systems Research
The effects of structural characteristics of explanations on use of a DSS
Decision Support Systems
The effects of structural characteristics of explanations on use of a DSS
Decision Support Systems
Decision Support Systems
Forecasting software visualizations: an explorative study
Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology
International Journal of Human-Computer Studies
Save the best for last? The treatment of dominant predictors in financial forecasting
Expert Systems with Applications: An International Journal
A web forecasting system supporting policy implementation: the case of 'digital planning' in Greece
International Journal of Business Information Systems
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Forecasts play a key role in the management of the supply chain. In most organisations such forecasts form part of an information system on which other functions, such as scheduling, resource planning and marketing depend. Forecast accuracy is, therefore, an important component in the delivery of an effective supply chain. Typically, the forecasts are produced by integrating managerial judgment with quantitative forecasts within a forecasting support system (FSS). However, there is much evidence that this integration is often carried out poorly with deleterious effects on accuracy. This study integrates the literatures on forecasting and decision support to explain the causes of the problem and to identify design features of FSSs that might help to ameliorate it. It is also argued that, by studying the supply chain forecasting task, DSS researchers could learn much about decision support in general and also make a significant contribution to the improvement of forecasting practice.