Despite its importance to OM, demand forecasting has been perceived as a “problem-solving” exercise; most empirical work in the field has focused on explanatory models but neglected prediction problems that are part of empirical science. The present study, involving one of the leading...

Machine learning’s (ML’s) unique power to approximate functions and identify non-obvious regularities in data has attracted considerable attention from researchers in natural and social sciences. The emergence of predictive modeling applications in OM studies notwithstanding, it remains...