Using matched employer-employee data from 30 U.S. states covering a wide range of industries, we compare spinouts with new establishments formed by incumbents (INEs). We propose a selection-based framework comprising by parents to internally implement ideas as INEs, by founders to form spinouts, and to close ventures. Consistent with parents choosing better ideas in the idea selection stage, we find that INEs perform relatively better than spinouts, and more so with larger parents. Regarding the entrepreneurial selection stage, we find evidence consistent with resource requirements being a greater entry barrier to spinouts. Parents' resource redeployment opportunities are associated with lower relative survival of INEs, consistent with their being subject to greater selection pressures in the exit selection stage.

The COVID-19 pandemic will rank among the greatest challenges many executives will have faced and not only due to the operational challenges it posed. Upon entering the U.S. context, the disease was immediately politically polarized, with clear partisan splits forming in risk perceptions of the disease unrelated to science. We exploit this context to examine whether firms' partisan positioning affects whether and how they communicate risk to their investors on a polarized public policy issue. To do so, we examine the covariation between firms' disclosure of COVID-19 risks and the partisanship of their political giving. Our analysis of earnings call and campaign contribution data for the S&P 500 reveals a positive association between a firm's contributions to Democrats and its disclosure of COVID-19 risks.

We investigate how knowledge similarity between two individuals is systematically related to the likelihood that a serendipitous encounter results in knowledge production. We conduct a field experiment at a medical research symposium, where we exogenously varied opportunities for face-to-face encounters among 15,817 scientist-pairs. Our data include direct observations of interaction patterns collected using sociometric badges, and detailed, longitudinal data of the scientists' postsymposium publication records over 6 years. We find that interacting scientists acquire more knowledge and coauthor 1.2 more papers when they share some overlapping interests, but cite each other's work between three and seven times less when they are from the same field. Our findings reveal both collaborative and competitive effects of knowledge similarity on knowledge production outcomes.