The application of machine learning (ML) to big data has become increasingly important. We propose a model where firms have access to the same ML, but incumbents have access to historical data. We show that big data raises entrepreneurial barriers making the creative destruction process less...

We construct a model where incumbents can either acquire basic innovations from entrepreneurs, or wait and acquire developed innovations from entrepreneurial firms supported by venture capitalists. We show that venture-backed entrepreneurial firms have an incentive to overinvest in development...

When and how do entrepreneurs sell their inventions? To address this issue, we develop an endogenous entry-sale asymmetric information oligopoly model. We show that lowquality inventions are sold directly or used for own entry. Inventors who sell post-entry use entry to credibly reveal...

Exit of venture-backed firms often takes place through sales to large incumbent firms. We show that in such an environment, venture-backed firms have a stronger incentive to develop basic innovations into commercialized innovations than incumbent firms, due to strategic product market effects....

We develop a theory of innovation for entry and sale into oligopoly, and show that an invention of higher quality is more likely to be sold (or licensed) to an incumbent due to strategic product market effects on the sales price. Preemptive acquisitions by incumbents are shown to stimulate the...

This paper constructs a model where entrepreneurial innovations are sold into oligopolistic industries and where adverse selection problems between entrepreneurs, venture capitalists and incumbents are present. We first show that aggressive development of a basic innovation by better informed...

Entrepreneurs face higher commercialization costs than incumbents. We show that this implies that entrepreneurs will choose more risky projects than incumbents, aiming to reduce their high expected marginal commercialization cost. However, entrepreneurs may select too safe projects from a social...

Many governments promote small businesses for the dual reasons of fostering ‘breakthrough' innovations and employment growth. In this paper we study the effects of tax and subsidy policies on entrepreneurs' choice of riskiness of an innovation project and on their mode of commercializing the...

The application of machine learning (ML) to big data has become increasingly important. We propose a model where firms have access to the same ML, but incumbents have access to historical data. We show that big data raises entrepreneurial barriers making the creative destruction process less...

Entrepreneurs face higher commercialization costs than incumbents. We show that this implies that entrepreneurs will choose more risky projects than incumbents, aiming to reduce their high expected marginal commercialization cost. However, entrepreneurs may select too safe projects from a social...