The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic behavior by agents. We theorize...

Questioning the underlying assumptions of the process of creative destruction, we conceptualize an alternative process of creative construction that may characterize the dynamics between entrants and incumbents. We discuss the underlying mechanism of knowledge spillover strategic...

We examine how and why pre-existing vertical scope may cause differences in product market exit rates after sudden and exogenous decreases in demand. Our empirical context is the U.S. medical diagnostic imaging industry (2004-2009), wherein a major Medicare reform created a derived demand shock...