The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Local Density and Foreign Subsidiary Performance
Abstract
Local density (the number of firms vying for similar resources in a local environment) has been overlooked in explaining foreign subsidiary performance. This study drew upon the concepts of liability of foreignness and density dependence to examine how local density within a host country affected performance—directly and indirectly— through effects on market experience and strategic conformity. We found that local density was negatively related to foreign subsidiary performance and that market experience was less beneficial in high-density environments. Strategic conformity enhanced performance in low-density environments but adversely affected performance in high-density environments.
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Cites
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Firm resources and sustained competitive advantage
Barney, J. B. (2004) · Advances in Strategic Management · doi:10.1016/s0742-3322(00)17018-4 · Cited by 38,152
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Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
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Cited by
Does subnational region matter? Foreign affiliate performance in the United states and China
Chan, C. M., Makino, S., & Isobe, T. (2010) · Strategic Management Journal · doi:10.1002/smj.854 · Cited by 403
Multinationals and Corporate Social Responsibility in Host Countries: Does Distance Matter?
Campbell, J. T., Eden, L., & Miller, S. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1928016 · Cited by 279
Self-citation
Metadata
- Authors
- Miller, S. R., & Eden, L.
- Venue
- Academy of Management Journal
- Publisher
- Academy of Management
- Published
- 2006-04
- Volume
- 49
- Issue
- 2
- Pages
- 341-355
- ISSN
- 0001-4273 (ISSN-L)
- 1948-0989
- OpenAlex
- W3121944685
- Cited by
- 266
- References
- 71
- FWCI
- 25.66
- 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.
