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Cited by 535

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Transaction Cost Economics: An Assessment of Empirical Research in the Social Sciences

Macher, Jeffrey T., Richman, Barak D.·2008·Business and Politics

Abstract

This paper provides a comprehensive review of the empirical literature in transaction cost economics (TCE) across multiple social science disciplines and business fields. We show how TCE has branched out from its economic roots to examine empirical phenomena in several other areas. We find TCE is increasingly being applied not only to business-related fields such as accounting, finance, marketing, and organizational theory, but also to areas outside of business including political science, law, public policy, and agriculture and health. With few exceptions, however, the use of TCE reasoning to inform empirical research in these areas is piecemeal. We find that there is considerable support of many of the central tenets of TCE, but we also observe a number of lingering theoretical and empirical issues that need to be addressed. We conclude by discussing the implications of these issues and outlining directions for future theoretical and empirical work.

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Metadata

Authors
Macher, J. T., & Richman, B. D.
Venue
Business and Politics
Published
2008-04
Volume
10
Issue
1
Pages
1-63
ISSN
  • 1369-5258 (ISSN-L)
  • 1469-3569
OpenAlex
W3125235357
Cited by
535
References
12
FWCI
69.56
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Transaction Cost Economics: An Assessment of Empirical Research in the Social Sciences. https://app.cochat.ai/papers/10.2202/1469-3569.1210
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Macher, J. T., & Richman, B. D. (2008). Transaction Cost Economics: An Assessment of Empirical Research in the Social Sciences. Business and Politics. https://doi.org/10.2202/1469-3569.1210

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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.