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Cited by 766

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

Case study research: a multi‐faceted research approach for IS

Cavaye, A.L.M.·1996·Information Systems Journal

Abstract

Abstract. A wide variety of approaches can be applied under the heading of case study research; this paper explicitly discusses the range of the alternatives. Many papers discussing case study research emphasize one particular variation of case study research only. The current paper provides an overview of the various uses of case study research in the information systems field by describing the different ways in which case study research can be used, using examples from published IS literature for illustration, and providing references to other method papers for more detailed discussion of each alternative. Researchers are reminded that case study research can be used in the positivist and interpretivist traditions, for testing or building theory, with a single or multiple case study design, using qualitative or mixed methods. The range of case study research alternatives makes it a highly versatile research strategy for IS

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Crossref · 10.1111/j.1365-2575.1996.tb00015.x

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Metadata

Authors
Cavaye, A. L. M.
Venue
Information Systems Journal
Publisher
Wiley
Published
1996-07
Volume
6
Issue
3
Pages
227-242
ISSN
  • 1350-1917 (ISSN-L)
  • 1365-2575
OpenAlex
W2138868712
Cited by
766
References
6
FWCI
19.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Case study research: a multi‐faceted research approach for IS. https://app.cochat.ai/papers/10.1111/j.1365-2575.1996.tb00015.x
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Cavaye, A. L. M. (1996). Case study research: a multi‐faceted research approach for IS. Information Systems Journal. https://doi.org/10.1111/j.1365-2575.1996.tb00015.x

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.