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Cited by 216

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Social Times of Network Spaces: Network Sequences and Foreign Investment in Hungary

Open access
Stark, David, Vedres, Balázs·2006·American Journal of Sociology

Abstract

To model, from its inception, interenterprise network formation and its interaction with foreign investment across an entire epoch of rapid and profound economic transformation, the authors gathered data on the complete ownership histories of 1,696 of the largest Hungarian enterprises from 1987 to 2001. They develop a social sequence analysis to identify distinctive pathways whereby firms use network resources to buffer uncertainty, hide or restructure assets, or gain knowledge and legitimacy. During this period, networked property grew, stabilized, and involved a growing proportion of foreign capital. Cohesive networks of recombinant property were robust, and in fact integrated foreign investment. Although multinationals, through their subsidiaries, dissolved ties in joint venture arrangements, the authors find evidence that they also built durable networks. These findings suggest that developing economies do not necessarily face a forced choice between networks of global reach and those of local embeddedness.

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Metadata

Authors
Stark, D., & Vedres, B.
Venue
American Journal of Sociology
Published
2006-03
Volume
111
Issue
5
Pages
1367-1411
ISSN
  • 0002-9602 (ISSN-L)
  • 1537-5390
OpenAlex
W2140588791
Cited by
216
References
4
FWCI
52.44
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Social Times of Network Spaces: Network Sequences and Foreign Investment in Hungary. https://app.cochat.ai/papers/10.1086/499507
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Stark, D., & Vedres, B. (2006). Social Times of Network Spaces: Network Sequences and Foreign Investment in Hungary. American Journal of Sociology. https://doi.org/10.1086/499507

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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.