A survey of 124 users of externally produced financial and economic forecasts in Turkey investigated their expectations and perceptions of forecast quality and their reasons for judgmentally adjusting forecasts. Expectations and quality perceptions mainly related to the timeliness of forecasts,...

In this paper, we engage with O'Brien's [O'Brien, F.A., 2004. Scenario planning - lessons for practice from teaching and learning. European Journal of Operational Research 152, 709-722] identification of both pitfalls in teaching scenario planning and proposed remedies for these. We consider...

Demand forecasting is a crucial aspect of the planning process in supply-chain companies. The most common approach to forecasting demand in these companies involves the use of a computerized forecasting system to produce initial forecasts and the subsequent judgmental adjustment of these...

Purpose - Hard decision analysis models allow complex decisions to be broken down into easier-to-handle and precisely defined sub-problems and also provide a documented rationale for the decision. This paper aims to investigate why the course of action prescribed by a hard decision analysis...

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,...

In this paper we review and analyse scenario planning as an aid to anticipation of the future under conditions of low predictability. We examine how successful the method is in mitigating issues to do with inappropriate framing, cognitive and motivational bias, and inappropriate attributions of...

Goodwin comments on the drawbacks and problems involved in using off-the-peg error metrics and cites studies by several recent researchers on the accuracy and effectiveness of these metrics. Copyright International Institute of Forecasters, 2009

Goodwin defines hindsight bias and gives examples, examines its psychological basis, shows how it may interfere with the forecasting process, and suggests ways it might be at least partly overcome. Copyright International Institute of Forecasters, 2010

In this Hot New Research Column in Foresight, Paul reports on three new approaches to the difficult challenge of supermarket forecasting. James Taylor has investigated a robust approach to this challenge; he calls it exponentially weighted quantile regression (EWQR). Aburto and Weber propose...

In their ongoing investigation into corporate forecasting practices, Robert Fildes and Paul Goodwin have uncovered evidence of excessive use of judgmental adjustment to statistical forecasts. In this report, they document the extent of the problem within four large companies, explore the...