The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
A Matching Theory of Alliance Formation and Organizational Success: Complementarity and Compatibility
Abstract
This study advances understanding of network dynamics by applying matching theory to the formation of interorganizational alliances. We introduce market complementary and resource compatibility as two critical matching criteria of alliance formation and argue that good matches increase firm performance. Using data from liner shipping, we found effects of matching on alliance formation. But contrary to our expectations, alliances by networked firms, rather than isolate firms, exhibited better match quality, suggesting that networks facilitate matching rather than sacrifice it. We also found evidence that alliances with matched partners improve firm performance and survival chances.
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Citations
Cites
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
Knowledge of the firm, combinative capabilities, and the replication of technology
Kogut, B., & Zander, U. (1992) · Organization Science · doi:10.1287/orsc.3.3.383 · Cited by 12,939 · cited 1×
“Such resources give competitive advantage in the focal market to the organization holding the resource and to alliances in which it participates (Barney, 1991; Dierickx & Cool, 1989; Kogut & Zander, 1992; Shan & Hamilton, 1991).”
BackgroundThe norm of reciprocity: A preliminary statement
Gouldner, A. W. (1960) · American Sociological Review · doi:10.2307/2092623 · Cited by 12,001
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
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980) · Wiley Series in Probability and Statistics · doi:10.1002/0471725153 · Cited by 7,297
Eisenhardt, K. M., & Schoonhoven, C. B. (1996) · Organization Science · doi:10.1287/orsc.7.2.136 · Cited by 2,672 · cited 3×
“This is important because of the hypothesis that higher resource levels facilitate alliance formation (e.g. Eisenhardt & Schoonhoven, 1996).”
BackgroundUnderstanding the influence of national culture on the development of trust
Doney, P. M., Cannon, J. P., & Mullen, M. R. (1998) · The Academy of Management Review · doi:10.2307/259297 · Cited by 1,844
A transaction costs theory of equity joint ventures
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Social Networks and Organizations
Kilduff, M., & Tsai, W. (2003) · doi:10.4135/9781849209915 · Cited by 1,581 · cited 2×
“This model allows serendipity in the matching process (Kilduff & Tsai, 2003), but also lets organizational goals and resources affect choices so that realized alliances will match organizational characteristics better than random encounters of organizations would have.”
BackgroundMethod
Cited by
The Two Facets of Collaboration: Cooperation and Coordination in Strategic Alliances
Gulati, R., Wohlgezogen, F., & Zhelyazkov, P. (2012) · Academy of Management Annals · doi:10.5465/19416520.2012.691646 · Cited by 768
A Matching Theory of Entrepreneurs' Tie Formation Intentions and Initiation of Economic Exchange
Vissa, B. (2010) · SSRN Electronic Journal · doi:10.2139/ssrn.1550086 · Cited by 267
Metadata
- Authors
- Mitsuhashi, H., & Greve, H. R.
- Venue
- Academy of Management Journal
- Publisher
- Academy of Management
- Published
- 2009-10
- Volume
- 52
- Issue
- 5
- Pages
- 975-995
- ISSN
- 0001-4273 (ISSN-L)
- 1948-0989
- OpenAlex
- W2063677215
- Cited by
- 296
- References
- 10
- FWCI
- 40.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mitsuhashi, H., & Greve, H. R. (2009). A Matching Theory of Alliance Formation and Organizational Success: Complementarity and Compatibility. Academy of Management Journal. https://doi.org/10.5465/amj.2009.44634482
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
