User Influence on the Relationship between Forecast Accuracy, Application and Logistics Performance

When companies develop and apply more accurate forecasts in their planning and management activities, they have the potential to improve performance throughout their organization and across the supply chain. To realize these improvements, however, companies must (1) implement techniques and practices that improve forecast accuracy, and (2) integrate the more accurate forecasts into their planning and management activities. While much research has focused on accomplishing the first of these requirements, few studies have investigated the important role that user\u27s play in the application of forecasts for logistics planning and management. This article establishes a connection between forecast performance, user perceptions of the quality of forecasts they receive, the extent that they use the forecasts and the resulting impact on logistics performance