This paper examines the impact of the Digital Markets Act (DMA) on consumer behavior, focusing on changes in Google's search result presentation in the European Union (EU). Specifically, it investigates the effects of Google's removal of clickable maps in search results, a modification...

This study documents the existence and prevalence of the “review updating” phenomenon, where consumers change the ratings and content of their existing reviews, and examines its implications for platforms and businesses. Using both primary and secondary data, a dataset comprising 3 million...

This article reports on an investigation of the role of lock-in exploitation and the impact of reputation portability on workers’ switching behaviors in online labor markets. Online platforms using reputation mechanisms typically prevent users from transferring their ratings to other...

We study consumer response towards sponsored search advertising and how to improve advertising performance on a large e-commerce platform. Our research design is based on a field experiment which randomizes the salience of ad disclosure to consumers, and a natural experiment which eradicates a...

We investigate the relation between Net Neutrality regulation and Internet fragmentation. We model a two-sided market, where Content Providers (CPs) and consumers interact through Internet Service Providers (ISPs), and CPs sell consumers' attention to advertisers. Under Net Neutrality, a...

This paper studies the impact of Generative AI technologies on the demand for online freelancers using a large dataset from a leading global freelancing platform. We identify the types of jobs that are more affected by Generative AI and quantify the magnitude of the heterogeneous impact. Our...

Platforms often use fee discrimination within their marketplace (e.g., Amazon, eBay, and Uber specify a variety of merchant fees). To better understand the impact of marketplace fee discrimination, we develop a model that allows us to determine equilibrium fee and category decisions that depend...

Online ratings play an important role in many markets. However, how fast they can reveal seller types remains unclear. To study this question, we propose a new model in which a buyer learns about the seller’s type from previous ratings and her own experience and rates the seller if she learns...

Thanks to algorithmic management, the digital platform sector does not require sophisticated governance structures and labour intensity tends to be higher than in traditional sectors. So, why aren't usually digital labour platforms worker cooperatives? We develop a simple model to study the...

We consider a streaming platform which carries content from various upstream content providers. Participating customers face personalized recommendations from the platform and consume a mix of content originating from each provider. We analyze when the platform uses its personalized...