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Cited by 520

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

The Typical Tools for the Job: Research Strategies in Institutional Analysis

Schneiberg, Marc, Clemens, Elisabeth S.·2006·Sociological Theory

Abstract

Institutional theory rests on a rejection of reductionism. Instead of reducing higher-order phenomena to aggregates of behavior, institutional theory reverses this causal imagery. It attributes the behavior of organizations and nation-states to contextual factors, notably organizational fields, national institutional systems, or the emerging global polity, Institutionalists, particularly within sociology, also emphasize specifically cultural mechanisms for these higher-order effects. This article develops the methodological foundations for these claims. It surveys and elaborates research designs for documenting higher-order effects and for differentiating the cultural mechanisms of institutional influence. It also presents new strategies for assessing multiple logics and the coherence of institutional orders, moving beyond adoption and diffusion studies to analyze the dynamic and contested processes of institutionalization and institutional change.

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Metadata

Authors
Schneiberg, M., & Clemens, E. S.
Venue
Sociological Theory
Published
2006-09
Volume
24
Issue
3
Pages
195-227
ISSN
  • 0735-2751 (ISSN-L)
  • 1467-9558
OpenAlex
W2112955837
Cited by
520
References
6
FWCI
51.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Typical Tools for the Job: Research Strategies in Institutional Analysis. https://app.cochat.ai/papers/10.1111/j.1467-9558.2006.00288.x
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Schneiberg, M., & Clemens, E. S. (2006). The Typical Tools for the Job: Research Strategies in Institutional Analysis. Sociological Theory. https://doi.org/10.1111/j.1467-9558.2006.00288.x

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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.