Knowledge that Transforms

We study when and why a platform may seek to give preference to its private label in sponsored advertising.

A human-machine hybrid automation approach is demonstrated to improve B2B sales performance through a pricing field experiment and econometric analyses.

We analyze the ad tech market, investigating an intermediary’s choice to disclose information to advertisers in auctions and publishers’ outsourcing decisions.

Whereas the literature on rebates has focused on single-product firms, this paper analyses the role of rebates offered by a multiproduct firm

Fifteen percent drop in local demand observed after acquisitions of local breweries by large firms.

This paper investigates the interplay between advertising and decentralized content creation on digital content platforms.

This paper examines the ramification of the platform’s dual role on its featuring strategy, sellers’ pricing strategies, and consumer welfare.

The paper explores the potential of Large Language Models to substitute for or to augment human participants in market research.

This paper examines the potential of large language models to mimic human survey respondents and to derive their preferences.

This paper investigates users’ reactions to a massive and highly sensitive data breach via an array of causal inference methodologies.