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Cited by 239

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Mixed Methods Research in Strategic Management: Impact and Applications

Molina-Azorin, Jose F.·2012·Organizational Research Methods

Abstract

Mixed methods research is becoming an increasingly popular approach in several areas, and it has long been called for as an approach for providing a better understanding of research problems. However, there have been no assessments as to whether such research, which may be timely and expensive, has more impact on the field. The main purpose of this article is to determine whether the use of a mixed methods approach is a predictor of article impact. The analysis is based on articles published in the Strategic Management Journal from 1980 to 2006. The findings show that mixed methods articles tend to receive more citations than monomethod articles do. The average citations received per year and the cumulating sum of citations are both higher for articles reporting studies using mixed methods than for monomethod research designs. Furthermore, a content analysis of the mixed methods articles identified shows that there are different types of studies based on several characteristics (purpose, priority, implementation, and design). All types of mixed methods articles tend to have a higher number of citations than the group of monomethod studies.

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Metadata

Authors
Molina-Azorin, J. F.
Venue
Organizational Research Methods
Published
2010-12-30
Volume
15
Issue
1
Pages
33-56
ISSN
  • 1094-4281 (ISSN-L)
  • 1552-7425
OpenAlex
W2330981820
Cited by
239
References
11
FWCI
11.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mixed Methods Research in Strategic Management: Impact and Applications. https://app.cochat.ai/papers/10.1177/1094428110393023
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Molina-Azorin, J. F. (2012). Mixed Methods Research in Strategic Management: Impact and Applications. Organizational Research Methods. https://doi.org/10.1177/1094428110393023

Data sources

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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.