The Forecasting Classification Grid: a Typology for Method Selection
Given the large variety of forecasting methods, researchers have developed different ways of classifying these methods. However, none of these methods meet the criteria of a good typology, i.e. concise, exclusive and exhaustive. Based on a review of the current classification methods, the paper proposes a forecasting classification grid based on two distinct dimensions, i.e. judgmental opinions and empirically evaluated ideas, and naive and causal forecasting. Being concise, exclusive and exhaustive, this new classification method provides a systematic way to organize different forecasting methods.
Calantone, R., Gentry, L., & Cui, S. (2006). The Forecasting Classification Grid: a Typology for Method Selection. The Journal of Global Business Management.
Business and Information Technology
Keywords and Phrases
Dynamic Predictive Models; Intuitive Forecasts; Trend Extrapolation; Coding Schemes
Article - Journal
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