The emerging theory-based view depicts entrepreneurs as sophisticated thinkers who form, update, and act on rich causal theories. In support of this view, recent empirical work has demonstrated both (a) the value of theories as well as (b) the importance of experimentation for testing and refining theories. Yet, the process by which entrepreneurs initially form these theories remains largely unobserved.

Companies are turning to ideation contests to engage ideators outside company boundaries to solve their complex problems. Our research focuses on how articulating the problem, specifically the number and type of constraints described within the problem statement (brief), is related to the number of ideas submitted by participants in ideation contests.

The case study "Electronic Financial-Advisor for Tech Savvy" (EFforTS, or Efforts) examines a Robo-Advisor start-up based in Raleigh, North Carolina, founded by tech-industry entrepreneurs. Efforts developed an algorithm-based online investment platform tailored for technology professionals, gaining attention through successful social media marketing.

While the literature highlights the benefits of internally redeploying resources, there is less empirical guidance on which resources are most likely to be redeployed. We examine the relationship between inventor characteristics and redeployment decisions, motivated by the tension between costs and benefits of keeping a resource at the source unit versus moving it to a new target unit.

Prior literature suggests many benefits stemming from founders’ strong identification with their firms. We suggest, however, that there is also a potential dark side. We argue that founders can become overidentified with their organizations, making them more likely to engage in irresponsible behavior that protects the firm but harms others, as moral and societal norms are viewed as obstacles to fulfilling an organization’s goals.

This study builds on the knowledge spillover theory of entrepreneurship to examine the factors that influence the decision of latent entrepreneurs to move from opportunity recognition to opportunity exploitation and emergent entrepreneurship.

This paper investigates the causal impact of entrepreneurs' prior experience on startup success. Employing within-country changes in Green Card wait lines to instrument for immigrant first-time entrepreneurs' experience, we uncover that startups led by more experienced founders demonstrate superior funding, patenting, and employee growth.

The tools for crowdsourcing have been a research focus for quite some time. However, even today, crowdsourcing platforms have remained rather technologically rudimentary as simply idea dropboxes and discussion forums. Our research has indicated that technical modifications to current crowdsourcing platforms are needed for crowds to generate more novel and useful solutions.

We investigate claims that the complexity of the tax system discourages entrepreneurship. We use the implementation of tax filing assistance centers, which help entrepreneurs file their taxes, as sources of plausibly exogenous variation in the tax complexity effectively facing potential entrepreneurs.