Faculty Research
The article explores how the integration of generative AI assistants in workplaces, designed to nudge behavior, risks undermining employees' ethical decision-making capabilities. It emphasizes the need for organizations to balance the benefits of AI
This paper examines how data-driven personalized decisions can be made while preserving consumer privacy. Our setting is one in which the firm chooses a personalized price based on each new customer's vector of individual features; the true set of- This study aims to address the question of why managers make different decisions in employee downsizing when their firms face external threats. Our research intends to shed light on whether and how CEOs' cognition (motivational attributes associated
The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as observational data lacks the benefit of random
Though we would like to believe that people universally consider workplace mistreatment to be an indicator of injustice, we describe why bystanders can react to justice events (in this study, vicariously observing or becoming aware of others being
This study examines whether information revealed by firms' earnings announcements (EAs) forecasts short-run market-wide volatility in equity index prices. Using an exponential generalized autoregressive conditional heteroskedasticity model that
This article highlights CSR disclosure as a strategic response of Chinese multinational enterprises (MNEs) to the social risk they face in host countries. Deviating from prior research that aims to directly measure social risk, we offer a new
Prior research suggests that quarterly reports released concurrently with earnings depress trading due to information overload. In this study, we predict that concurrent reports help investors trade when they face uncertainty about how to interpret
Commercialization is a crucial phase in the innovation process and its associated costs significantly influence R&D decisions. Yet our understanding of how commercialization costs impact various stages of innovation remains underdeveloped. In
Understanding how technostressors lead to technostrain, such as high job burnout or low job performance, has become a core question in information systems (IS) research and practice. To unpack this relationship, we build on general systems theory to