Knowledge that Transforms

This paper investigates how incentives to learn ad performance affect the advertisers’ bidding strategies, as well as the publisher’s optimal mechanism.

We evaluate user-generated content as a source of customer needs and propose and test a machine-learning approach for identifying customer needs more efficiently.

This paper studies how the sharing economy fundamentally changes the way the industry accommodates demand fluctuations and how incumbent firms should strategically respond in the context of Airbnb and hotels.

We propose an alternative dynamic price experimentation policy that extends multiarmed bandit (MAB) algorithms from statistical machine learning to include microeconomic choice theory.

This paper studies how word of mouth and product adoptions from friends and the whole community affect individuals’ product adoption decisions in the context of anime.

This paper models the relationship between a retailer’s mobile app launch and product purchases and returns in its online and offline channels.

Optimal adjustment of the product variety due to consumer quality inference from opinion leader recommendations.

Conformity toward the majority choice among a user’s friends on a social-networking site first decreases and then increases with the adoption rate of that choice.