Decision Support System for Demand Forecasting in Business Games

Abstract

Several studies in the last 20 years have focused on business simulator’s demand functions. However, little attention has been given to the development of a decision support system to forecast the demand for business games players. This paper describes the development of a novel model for demand prediction from the perspective of the business game player. The model was tested in a business game course, where it considerably reduced the error in the demand prediction. This model can be applied to different business games to evaluate whether it can improve both results and the students understanding of the demand prediction problem, contributing to the field of education with business games.