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...

Problem Definition: Two increasingly popular disciplines applied in operations management are (a) machine learning, such as deep learning techniques (“ML”), and (b) behavioral science, notably human-subject experiments and behavioral modeling (“BSci”). Despite the overlap in how they are...

Routine - maintaining the same schedule from day to day - saves time. It is also boring and inherently undesirable. As such, the amount of routine a person engages in is partly an economic outcome, with variations in routine generated by variations in the price of time, household income and the...