Digital Redlining and the Distributional Effects of AI-enabled Promotional Targeting

Funded Research Proposal

In recent years, firms have started to incorporate new techniques from artificial intelligence into their decision making processes. However, these techniques come with a novel set of reputational and legal risks relating to algorithmic bias and digital discrimination. Read More

A Meta-Analytic Investigation of p-hacking in E-commerce Experimentation

Working Papers

Randomized controlled trials—often called A/B tests in industrial settings—are an increasingly important element in the management many organizations. Such experiments are meant to bring the benefits of scientific rigor and statistical measurement to the domain of managerial decision making. Read More

Bias-aware AI for Human Capital Management: An Innovative Approach for Algorithmic Job Screening

Funded Research Proposal

A well-known maxim in management is that “your people are your greatest asset”. Recruitment strategies in particular have been linked to firms’ innovative capacity, emphasizing the importance of maintaining competitive advantages in HR as a key goal of effective innovation management. Read More