Collaboration Structure and Information Dilemmas in Biotechnology: Organizational Boundaries as Trust Production
Scientists who make breakthrough discoveries can receive above- normal returns to their intellectual capital, with returns depending on the degree of natural excludability - that is, whether necessary techniques can be learned through written reports or instead require hands-on experience with the discovering scientists or those trained by them in their laboratory. Privatizing discoveries, then, only requires selecting trusted others as collaborators, most often scientists working in the same organization. Within organizational boundaries, incentives become aligned based on repeat and future exchange, coupled with third-party monitoring and enforcement. We find that high value intellectual capital paradoxically predicts both a larger number of collaborators and more of that network contained within the same organization. Specifically, same-organization collaboration pairs are more likely when the value of the intellectual capital is high: both are highly productive 'star' scientists, both are located in top quality bioscience university departments, or both are located in a firm (higher ability to capture returns). Collaboration across organization boundaries, in contrast, is negatively related to the value of intellectual capital and positively related to the number of times the star scientist has moved. Organizational boundaries act as information envelopes: The more valuable the information produced, the more its dissemination is limited. In geographic areas where a higher proportion of coauthor pairs come from the same organization, diffusion to new collaborators is retarded.
|Date of creation:||Jul 1995|
|Date of revision:|
|Publication status:||published as Kramer, Roderick M. and Tom R. Tyler (eds.) Trust in Organizations. Thousand Oaks, CA: Sage, 1996.|
|Contact details of provider:|| Postal: |
Web page: http://www.nber.org
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Darby, Michael R. & Lott, John Jr., 1989.
"Qualitative information, reputation, and monopolistic competition,"
International Review of Law and Economics,
Elsevier, vol. 9(1), pages 87-103, June.
- Michael R. Darby & John R. Lott, 1982. "Qualitative Information, Reputation and Monopolistic Competition," UCLA Economics Working Papers 265, UCLA Department of Economics.
- Michael R. Darby & John R. Lott, Jr., 1975. "Qualitative Information, Reputation, and Monopolistic Competition," NBER Working Papers 0095, National Bureau of Economic Research, Inc.
- Coase, R H, 1988. "The Nature of the Firm: Origin," Journal of Law, Economics and Organization, Oxford University Press, vol. 4(1), pages 3-17, Spring.
- Klein, Benjamin & Crawford, Robert G & Alchian, Armen A, 1978. "Vertical Integration, Appropriable Rents, and the Competitive Contracting Process," Journal of Law and Economics, University of Chicago Press, vol. 21(2), pages 297-326, October.
- Lynne G. Zucker & Michael R. Darby & Jeff Armstrong, 1994. "Intellectual Capital and the Firm: The Technology of Geographically Localized Knowledge Spillovers," NBER Working Papers 4946, National Bureau of Economic Research, Inc.
- Lynne G. Zucker & Michael R. Darby & Marilynn B. Brewer, 1994. "Intellectual Capital and the Birth of U.S. Biotechnology Enterprises," NBER Working Papers 4653, National Bureau of Economic Research, Inc.
- Geertz, Clifford, 1978. "The Bazaar Economy: Information and Search in Peasant Marketing," American Economic Review, American Economic Association, vol. 68(2), pages 28-32, May.
- Darby, Michael R & Karni, Edi, 1973. "Free Competition and the Optimal Amount of Fraud," Journal of Law and Economics, University of Chicago Press, vol. 16(1), pages 67-88, April.
- Jerry A. Hausman & Bronwyn H. Hall & Zvi Griliches, 1984.
"Econometric Models for Count Data with an Application to the Patents-R&D Relationship,"
NBER Technical Working Papers
0017, National Bureau of Economic Research, Inc.
- Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-38, July.
When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:5199. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()
If references are entirely missing, you can add them using this form.