The DOI matches its Crossref record; 113 of the 113 references it cites were found in a registry or an index.
SME Entry Mode Choice and Performance: A Transaction Cost Perspective
Abstract
Although small and medium sized enterprises (SMEs) account for a significant portion of international trade, little is know about how they make international entry mode decisions. Transaction cost theory has been widely used to study entry mode selection for large firms. Here we apply the theory to SME mode choices. Further, we set out to determine if SME transaction cost mode choices provide superior performance to other mode choices. We found that transaction cost theory did a good job of explaining SME mode choice and that SMEs that used transaction cost–predicted mode choices performed significantly better than firms using other modes.
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Cites
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Cited by
New Venture Growth: A Review and Extension
Gilbert, B. A., McDougall, P. P., & Audretsch, D. B. (2006) · Journal of Management · doi:10.1177/0149206306293860 · Cited by 744
Keupp, M. M., & Gassmann, O. (2009) · Journal of Management · doi:10.1177/0149206308330558 · Cited by 707
Internationalization: From incremental to born global
Knight, G. A., & Liesch, P. W. (2016) · Journal of World Business · doi:10.1016/j.jwb.2015.08.011 · Cited by 613
Entry mode research: Past and future
Canabal, A., & White, G. O. (2008) · International Business Review · doi:10.1016/j.ibusrev.2008.01.003 · Cited by 461
Schwens, C., Eiche, J., & Kabst, R. (2011) · Journal of Management Studies · doi:10.1111/j.1467-6486.2010.00970.x · Cited by 284
Metadata
- Authors
- Brouthers, K. D., & Nakos, G.
- Venue
- Entrepreneurship Theory and Practice
- Publisher
- SAGE Publications
- Published
- 2004-05
- Volume
- 28
- Issue
- 3
- Pages
- 229-247
- ISSN
- 1042-2587 (ISSN-L)
- 1540-6520
- OpenAlex
- W2150957975
- Cited by
- 366
- References
- 113
- FWCI
- 17.48
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
