The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Exploration and exploitation alliances in biotechnology: a system of new product development
Abstract
We link the exploration–exploitation framework of organizational learning to a technology venture's strategic alliances and argue that the causal relationship between the venture's alliances and its new product development depends on the type of the alliance. In particular, we propose a product development path beginning with exploration alliances predicting products in development, which in turn predict exploitation alliances, and that concludes with exploitation alliances leading to products on the market. Moreover, we argue that this integrated product development path is moderated negatively by firm size. As a technology venture grows, it tends to withdraw from this product development path to discover, develop, and commercialize promising projects through vertical integration. We test our model on a sample of 325 biotechnology firms that entered 2565 alliances over a 25‐year period. We find broad support for the hypothesized product development system and the moderating effect of firm size. Copyright © 2004 John Wiley & Sons, Ltd.
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Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
The Market for "Lemons": Quality Uncertainty and the Market Mechanism
Akerlof, G. A. (1970) · The Quarterly Journal of Economics · doi:10.2307/1879431 · Cited by 23,016
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
Corporate financing and investment decisions when firms have information that investors do not have
Myers, S. C., & Majluf, N. S. (1984) · Journal of Financial Economics · doi:10.1016/0304-405x(84)90023-0 · Cited by 18,957
Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology
Powell, W. W., Koput, K. W., & Smith-Doerr, L. (1996) · Administrative Science Quarterly · doi:10.2307/2393988 · Cited by 8,499
Teece, D. J. (1986) · Research Policy · doi:10.1016/0048-7333(86)90027-2 · Cited by 7,842
MYERS, S. C. (1984) · The Journal of Finance · doi:10.1111/j.1540-6261.1984.tb03646.x · Cited by 7,526
Corporate Financing and Investment Decisions When Firms Have InformationThat Investors Do Not Have
Myers, S., & Majluf, N. (1984) · doi:10.3386/w1396 · Cited by 6,745
Toward a new economics of science
Partha, D., & David, P. A. (1994) · Research Policy · doi:10.1016/0048-7333(94)01002-1 · Cited by 2,448
Aging, Obsolescence, and Organizational Innovation
Sørensen, J. B., & Stuart, T. E. (2000) · Administrative Science Quarterly · doi:10.2307/2666980 · Cited by 1,862
Interfirm cooperation and startup innovation in the biotechnology industry
Shan, W., Walker, G., & Kogut, B. (1994) · Strategic Management Journal · doi:10.1002/smj.4250150505 · Cited by 1,166
Incumbent's advantage through exploiting complementary assets via interfirm cooperation
Rothaermel, F. T. (2001) · Strategic Management Journal · doi:10.1002/smj.180 · Cited by 1,114
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Jansen, J. J. P., Van Den Bosch, F. A. J., & Volberda, H. W. (2006) · Management Science · doi:10.1287/mnsc.1060.0576 · Cited by 3,705
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O'Reilly, C. A., & Tushman, M. L. (2013) · Academy of Management Perspectives · doi:10.5465/amp.2013.0025 · Cited by 2,580
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O’Reilly, C. A., & Tushman, M. L. (2008) · Research in Organizational Behavior · doi:10.1016/j.riob.2008.06.002 · Cited by 2,431
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Rhee, J., Park, T., & Lee, D. H. (2010) · Technovation · doi:10.1016/j.technovation.2009.04.008 · Cited by 710
Metadata
- Authors
- Rothaermel, F. T., & Deeds, D. L.
- Venue
- Strategic Management Journal
- Publisher
- Wiley
- Published
- 2004-01-22
- Volume
- 25
- Issue
- 3
- Pages
- 201-221
- ISSN
- 0143-2095 (ISSN-L)
- 1097-0266
- OpenAlex
- W2144318583
- Cited by
- 1,941
- References
- 12
- FWCI
- 186.07
- Type
- journal article
- Language
- en
- Open access
- closed
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