Cited by 41Team Dynamics and PerformanceLeadership and Management in OrganizationsEgo Development and Educational Practices

Leader cognition: Approaches and findings

Mumford, Michael D., Watts, Logan L., Partlow, Paul J.·2015·The Leadership Quarterly

Integrity signals

Registry

Crossref · 10.1016/j.leaqua.2015.03.005

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  • Cognitive understanding of the possible effects of team diversity helps leaders recognize cues needed to predict whether the diverse team is more likely to show intergroup bias or information elaboration.

    “We argue that cognitive understanding of the possible effects of team diversity in teams helps leaders to recognize the cues in the team and environment needed to predict whether the diverse team is more likely to show intergroup bias or information elaboration (Hooijberg et al., 1997;Mumford, Watts, & Partlow, 2015).”

    From Leading diversity: Towards a theory of functional leadership in diverse teams. (2020) · cites this paper as Mumford, Watts, & Partlow, 2015

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Authors
Mumford, M. D., Watts, L. L., & Partlow, P. J.
Affiliations
University of Oklahoma (US)
Corresponding author
Mumford, Michael D.
Venue
The Leadership Quarterly
Publisher
Elsevier BV
Published
2015-06
Volume
26
Issue
3
Pages
301-306
ISSN
1048-9843 (ISSN-L)
OpenAlex
W2073551838
Cited by
41
References
0
Citations by year
2026: 1 · 2025: 5 · 2024: 3 · 2023: 6 · 2022: 5 · 2021: 5 · 2020: 7 · 2019: 1 · 2018: 2 · 2017: 4 · 2016: 2
FWCI
4.37
Type
journal article
Language
en
Open access
closed
Locations
The Leadership Quarterly (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Leadership and Management in Organizations
  • Social Sciences › Psychology › Clinical Psychology › Ego Development and Educational Practices
Keywords
cognitive skills, leadership emergence, leader performance, leader development, leadership behavior

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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