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Cited by 420

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Generalizing from Research Findings: The Merits of Case Studies

Tsang, Eric W.K.·2014·International Journal of Management Reviews

Abstract

The case study as a key research method has often been criticized for generating results that are less generalizable than those of large‐sample, quantitative methods. This paper clearly defines generalization and distinguishes it from other related concepts. Drawing on the literature, the author shows that case study results may be less generalizable than those of quantitative methods only in the case of within‐population generalization. The author argues that case studies have merits over quantitative methods in terms of theoretical generalization, identifying disconfirming cases and providing useful information for assessing the empirical generalizability of results.

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Crossref · 10.1111/ijmr.12024

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Metadata

Authors
Tsang, E. W. K.
Venue
International Journal of Management Reviews
Publisher
Wiley
Published
2013-11-07
Volume
16
Issue
4
Pages
369-383
ISSN
  • 1460-8545 (ISSN-L)
  • 1468-2370
OpenAlex
W2167883292
Cited by
420
References
10
FWCI
50.49
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Generalizing from Research Findings: The Merits of Case Studies. https://app.cochat.ai/papers/10.1111/ijmr.12024
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Tsang, E. W. K. (2014). Generalizing from Research Findings: The Merits of Case Studies. International Journal of Management Reviews. https://doi.org/10.1111/ijmr.12024

Data sources

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.