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Cited by 485

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

The Very Separate Worlds of Academic and Practitioner Periodicals in Human Resource Management: Implications for Evidence-Based Management

Rynes, Sara L., Giluk, Tamara L., Brown, Kenneth G.·2007·Academy of Management Journal

Abstract

In this article the authors examine the differences between academic journals that deal with theoretical questions of personnel management and periodicals that investigate human resource management issues that occur in real-life situations. They note that there is a significant difference between human resource management as practiced in an academic setting as opposed to in the workplace. The management process known as “evidence-based management” is examined, the practice defined as an application that allows managers to use social science and organizational research to handle personnel matters.

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Registry

Crossref · 10.5465/amj.2007.27151939

Cites

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Citations

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Metadata

Authors
Rynes, S. L., Giluk, T. L., & Brown, K. G.
Venue
Academy of Management Journal
Published
2007-10
Volume
50
Issue
5
Pages
987-1008
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
OpenAlex
W2151172632
Cited by
485
References
8
FWCI
188.68
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: The Very Separate Worlds of Academic and Practitioner Periodicals in Human Resource Management: Implications for Evidence-Based Management. https://app.cochat.ai/papers/10.5465/amj.2007.27151939
The paper
Rynes, S. L., Giluk, T. L., & Brown, K. G. (2007). The Very Separate Worlds of Academic and Practitioner Periodicals in Human Resource Management: Implications for Evidence-Based Management. Academy of Management Journal. https://doi.org/10.5465/amj.2007.27151939

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.