This paper investigates how scientists decide whether to share information with their colleagues or not. Detailed data on the decisions of 1,694 bio-scientists allow to detect similarities and differences between academia-based and industry-based scientists. Arguments from social capital theory...

This paper investigates how scientists decide whether to share information with their colleagues or not. Detailed data on the decisions of 1,694 bio-scientists allow to detect similarities and differences between academia-based and industry-based scientists. Arguments from social capital theory...

We examine whether startups attract employees with different pecuniary and non-pecuniary motives than small or large established firms. We then explore whether such differences in employee motives lead to differences in innovative performance across firm types. Using data on over 10,000 U.S. R&D...

Some scholars view academic and industrial science as qualitatively different knowledge production regimes. Others claim that the two sectors are increasingly similar. Large-scale empirical evidence regarding similarities and differences, however, has been missing. Drawing on prior work on the...

We examine whether startups attract employees with different pecuniary and non-pecuniary motives than small or large established firms. We then explore whether such differences in employee motives lead to differences in innovative performance across firm types. Using data on over 10,000 U.S. R&D...

Our results paint a complex picture of academic and industrial science. While we find significant industry-academia differences with respect to all four dimensions, we also observe remarkable similarities. For example, both academic institutions and private firms appear to allow their scientists...