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...

In July 2002 the First International Conference on "Probing the Future: Developing Organisational Foresight in the Knowledge Economy", was organised by Hari Tsoukas and Jill Sheppard, and held at the University of Strathclyde, Graduate School of Business, in Glasgow. This conference resulted in...

This paper presents a case analysis of a successful scenario intervention in an organization. This intervention is compared and contrasted with an unsuccessful one reported in Hodgkinson and Wright [Confronting strategic inertia in a top management team: learning from failure, Organization...

In this paper, we examine the impact of information and communications technologies (ICT) on government departments/agencies and the contribution of external agents to change and development programs. We present empirical evidence of externally facilitated change to mindsets and patterns of...

Empirical research suggests that quantitatively derived forecasts are very frequently judgementally adjusted. Nevertheless, little work has been conducted to evaluate the performance of these judgemental adjustments in a practical demand/sales context. In addition, the relevant analysis does not...

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,...

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,...

Decision makers and forecasters often receive advice from different sources including human experts and statistical methods. This research examines, in the context of stock price forecasting, how the apparent source of the advice affects the attention that is paid to it when the mode of delivery...