The bullwhip effect has drawn the attention of supply chains researchers due to the inefficiencies that this phenomenon generates upstream in the supply chain. Various factors that facilitate its appearance have been identified in the literature. However, in spite of current practices and new...

This paper develops a systematic approach to quantifying the effect of judgmental biases on aggregate risk measures. Starting with the standard risk management process, we derive the areas that require expert judgment as input in order to aggregate risk into risk measures such as Earnings at...

This study was designed: (a) to investigate a simple neural-network solution to forecasting the special class of time series corresponding to a wide range of ARMA(p,q) structures; (b) to study the significance of matching the input window size with the nature of time series. The study adopted a...