We examine how two highly successful new biotechnology firms (NBFs) source their most critical input -- scientific knowledge. We find that scientists at the two NBFs enter into large numbers of collaborative research efforts with scientists at other organizations, especially universities. Formal...

Using data on over 900 firms for the period 1988-2000, we estimate the effect on phase-specific biotech and pharmaceutical R&D success rates of a firm's overall experience, its experience in the relevant therapeutic category; the diversification of its experience, and alliances with large and...

In this paper, we examine the determinants of control rights in technology strategic alliances between biotechnology firms and pharmaceutical corporations, as well as with other biotechnology firms. We undertake three clinical studies and an empirical analysis of 200 contracts. Consistent with...

How does competition affect innovation and how it is financed in R&D-intensive firms? We study the interaction between competition, R&D investments, and the financing choices of such firms using data on biopharmaceutical firms. To motivate the empirical hypotheses, we develop a model for such...

The growing use of on-line educational content and related video services has changed the way people access education, share knowledge, and possibly make life decisions. In this paper, we characterize how video content affects individual decision-making and willingness to share in the context of...

This paper introduces a new cost dataset for a commercial aircraft firm and uses this data to analyze the dynamics of learning in commercial aircraft production. This dataset is found to be inconsistent with the simple learning hypothesis, and particularly the prediction that a firm's unit cost...

We interpret recent developments in the field of artificial intelligence (AI) as improvements in prediction technology. In this paper, we explore the consequences of improved prediction in decision-making. To do so, we adapt existing models of decision-making under uncertainty to account for the...

This paper uses Roy's model of sorting behavior to study welfare implication of current health care data production infrastructure that relies on solicitation of research subjects. We show that due to severe adverse-selection issues, directionality of bias cannot be established and welfare may...