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Cited by 450

The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.

Academic-Practitioner Collaboration Need not Require Joint or Relevant Research: Toward a Relational Scholarship of Integration

Bartunek, Jean M.·2007·Academy of Management Journal

Abstract

The article examines how management science researchers and academics might more fruitfully collaborate with actual managers. The two groups are separated by, among many other things, the language and intellectual structure with which they attack management problems. The linear, structured “academic” methodology and language employed by management scientists is often baffling to managers trained to think more holistically about the issues confronting them. The articles previously published in the history of this publication are analyzed for the amount of information provided directly relating to management practice. The creation of relationships between management science academics and managers beyond collaborative research projects are shown to be desirable, and the difficulties of creating them acknowledged. Such relationships may well thrive in settings less formal than collaborative research projects.

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Integrity signals

Registry

Crossref · 10.5465/amj.2007.28165912

Cites

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Metadata

Authors
Bartunek, J. M.
Venue
Academy of Management Journal
Published
2007-12
Volume
50
Issue
6
Pages
1323-1333
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
OpenAlex
W2012729061
Cited by
450
References
57
FWCI
51.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Academic-Practitioner Collaboration Need not Require Joint or Relevant Research: Toward a Relational Scholarship of Integration. https://app.cochat.ai/papers/10.5465/amj.2007.28165912
The paper
Bartunek, J. M. (2007). Academic-Practitioner Collaboration Need not Require Joint or Relevant Research: Toward a Relational Scholarship of Integration. Academy of Management Journal. https://doi.org/10.5465/amj.2007.28165912

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.