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Cited by 334

The DOI matches its Crossref record.

The Art of Writing a Review Article

Short, Jeremy·2009·Journal of Management
DOI 10.1177/0149206309337489
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Abstract

I was honored to be asked by Talya Bauer to write this article to highlight insights into the nature of contributions suitable for the Review Issue of the Journal of Management (JOM). Having worked as an author on previous reviews and with the new editorial board on our first Review Issue, I hope to provide insights for future contributors. The review article in JOM is unique in management scholarship, borrowed from long-standing traditions in other fields such as economics, psychology, and sociology. As such, review articles offer perspectives to the management field not commonly presented in other outlets. Consequently, review articles have the potential to provide contributions akin to valuable works of art. Although there is no formula for great art, there are charac-teristics of quality work that transcend styles, mediums, and time periods. In a similar vein, creating excellent review articles requires careful choices coupled with special care and treatment in their preparation to maximize their impact to the greater management field. Below, I outline a few recommendations for potential authors of such works. I begin by examining the basic creative ingredients necessary for a Review Issue piece and then provide some thoughts on how to maximize the general impact, interest level, and lasting

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Metadata

Authors
Short, J.
Venue
Journal of Management
Publisher
SAGE Publications
Published
2009-12
Volume
35
Issue
6
Pages
1312-1317
ISSN
  • 0149-2063 (ISSN-L)
  • 1557-1211
DOI
10.1177/0149206309337489
OpenAlex
W2160298398
Cited by
334
References
0
FWCI
33.12
Type
journal article
Language
en
Open access
closed

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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.