This paper examines how entrepreneurs and incumbents differ in R&D strategies. We show that entrepreneurs have incentives to choose projects with higher risk and a higher potential in order to reduce expected commercialization costs. However, entrepreneurs may still select too safe projects from...

Recent studies document a 30-year decline in various measures of entrepreneurship in the United States. In contrast, using detailed Swedish employer-employee data over the period 1990-2013, we find no decline in Swedish entrepreneurial activity. Aggregate net job creation is greatest among the...

We provide empirical evidence that uncertainty (rather than risk) and optimism are distinctive characteristics of high-impact entrepreneurial firms (recently listed firms) relative to old, incumbent firms. Based on this evidence, we construct an entrepreneurial entry predation model with...

What explains the world-wide trend of pro-entrepreneurial policies in the last few decades? We study entrepreneurial policy in a lobbying model taking into account the conflict of interest between entrepreneurs and incumbents. It is shown that international market integration leads to more...

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...

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...

Research on entrepreneurship has flourished in recent years and is evolving rapidly. This paper explores the history of entrepreneurship research, how the research domain has evolved, and its current status as an academic field. The need to concretize these issues stems partly from a general...

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...

The creation and scaling of startups are inherently linked to risk-taking, with various types of owners handling these risks differently. This paper investigates the influence of an active venture capital (VC) market on startups' decisions regarding research and scaling. It outlines conditions...