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Markets from Culture: Institutional Logics and Organizational Decisions in Higher Education Publishing

Thornton, Patricia H.·2004·Stanford University Press eBooks

Abstract

Institutional logics, the underlying governing principles of societal sectors, strongly influence organizational decision making. Any shift in institutional logics results in a similar shift in attention to alternative problems and solutions and in new determinants for executive decisions. Examining changes in institutional logics in higher-education publishing, this book links cultural analysis with organizational decision making to develop a theory of attention and explain how executives concentrate on certain market characteristics to the exclusion of others. Analyzing both qualitative and quantitative data from the 1950s to the 1990s, the author shows how higher education publishing moved from a culture of independent domestic publishers focused on creating markets for books based on personal, relational networks to a culture of international conglomerates that create markets from corporate hierarchies. This book offers broader lessons beyond publishing—its theory is applicable to explaining institutional changes in organizational leadership, strategy, and structure occurring in all professional services industries.

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Metadata

Authors
Thornton, P. H.
Venue
Stanford University Press eBooks
Published
2004-03-03
OpenAlex
W4207020877
Cited by
660
References
0
FWCI
4.78
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Markets from Culture: Institutional Logics and Organizational Decisions in Higher Education Publishing. https://app.cochat.ai/papers/10.1515/9781503619098
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Thornton, P. H. (2004). Markets from Culture: Institutional Logics and Organizational Decisions in Higher Education Publishing. Stanford University Press eBooks. https://doi.org/10.1515/9781503619098

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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.