Although artificial intelligence (AI) has the potential to significantly disrupt businesses across a range of industries, we have limited empirical evidence for its substitution effect on human labor. We use Google’s introduction of neural network-based translation (GNNT) in 2016-2017 as a...

Research on misconduct suggests that accusations against industry peers generate negative consequences for non-accused firms (a “stigma effect”). Yet, building on research on competitive dynamics, we infer that such accusations can benefit non-accused firms that compete with these peers (a...

A common prediction in research on practice diffusion is a “strength in numbers” effect (i.e., that a growing number of past adopters will increase the number of future adopters). We advance and test a theoretical perspective to explain when and how practice prevalence may also generate a...