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The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

Team mental models in a team knowledge framework: expanding theory and measurement across disciplinary boundaries

Mohammed, Susan, Dumville, Brad C.·2001·Journal of Organizational Behavior

Abstract

Because research on team mental models is still in its formative stages, there is a need for continued conceptual development of the construct and direct empirical support linking team mental models to team outcomes. Researchers in other fields have developed concepts that are distinct from, but clearly related to team mental models, including information sharing, transactive memory, group learning, and cognitive consensus. Although these research streams currently exist in parallel with little cross‐fertilization, there is much to be gained from integration across disciplinary boundaries. Therefore, the purpose of this paper is to enrich the theoretical understanding of team mental models and to broaden the empirical research base by adopting a cross‐disciplinary focus and incorporating related team knowledge domains from other literatures. Based on a synthesis of various literatures, we develop a framework that delineates the relationships among team knowledge constructs. Copyright © 2001 John Wiley & Sons, Ltd.

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Metadata

Authors
Mohammed, S., & Dumville, B. C.
Venue
Journal of Organizational Behavior
Publisher
Wiley
Published
2001-03
Volume
22
Issue
2
Pages
89-106
ISSN
  • 0894-3796 (ISSN-L)
  • 1099-1379
OpenAlex
W2044595850
Cited by
852
References
51
FWCI
21.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Team mental models in a team knowledge framework: expanding theory and measurement across disciplinary boundaries. https://app.cochat.ai/papers/10.1002/job.86
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Mohammed, S., & Dumville, B. C. (2001). Team mental models in a team knowledge framework: expanding theory and measurement across disciplinary boundaries. Journal of Organizational Behavior. https://doi.org/10.1002/job.86

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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.