The theoretical literature on platforms and network effects predicts that the initial growth and takeoff of a platform crucially depends on the market's expectations of the future installed base. This paper tests this claim, reporting on a field experiment in which invitations to join a newly...

This paper develops a model of repeated innovation with knowledge spillovers. The model's novel feature is that firms compete on two dimensions: 1) product quality or cost, where one firm's innovation ultimately spills over to other firms; and 2) distribution costs, where there are no spillovers...

We examine decentralization of digital platforms through tokenization as an innovation to resolve the conflict between platforms and users. By delegating control to users, tokenization through utility tokens acts as a commitment device that prevents a platform from exploiting users. This...

Designing benefits for the growing platform workforce in the U.S. poses significant challenges. While platform workers need protection against unforeseen shocks, work that is often part time and spread across multiple platforms makes the traditional benefits model untenable. This paper reports...

General purpose technologies (GPTs) push out the production possibility frontier and are of strategic importance to managers and policymakers. While theoretical models that explain the characteristics, benefits, and approaches to create and capture value from GPTs have advanced significantly,...

We explore the impact of wage offers on job applications, testing implications of the directed search model and trying to distinguish it from random search. We use a field experiment conducted on a Chinese job board, with real jobs for which we randomly varied the wage offers across three...

A policy debate centers around the question how news aggregators such as Google News affect traffic to online news sites. Many publishers view aggregators as substitutes for traditional news consumption while aggregators view themselves as complements because they make news discovery easier. We...

We use data from a large web-based job platform to study how the price of remote work is determined in a globalized labor market. In the platform, workers from around the world compete for jobs that can be done remotely. We document that, despite the global nature of the marketplace, the...

Digital platforms are not only match-making intermediaries but also establish internal rules that govern all users in their ecosystems. To better understand the governing role of platforms, we study two Airbnb pro-guest rules that pertain to guest and host cancellations, using data on Airbnb and...

Platforms are growing increasingly powerful, raising questions about whether their power might be exercised with bias. While bias is inherently difficult to measure, we identify a context within the music industry that is amenable to bias testing. Our approach requires ex ante platform...