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
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
In this project, we attempt to provide a rigorous, empirical study of e-commerce A/B testing strategies. We perform a meta-analysis on 2,732 A/B tests conducted by 252 ecommerce companies across seven industries over the course of three years.…Read More
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
