Cited by 395Team Dynamics and PerformanceSocial and Intergroup PsychologyJob Satisfaction and Organizational Behavior

How, when, and why bad apples spoil the barrel: negative group members and dysfunctional groups

Felps, Will, Mitchell, Terence R., Byington, Eliza·2006·Research in Organizational Behavior

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Crossref · 10.1016/s0191-3085(06)27005-9

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  • Even a single emotionally extreme group member can disproportionately affect collective emotions, coordination, and group functioning.

    “Empirical work further shows that even a single emotionally extreme group member can disproportionately affect collective emotions, coordination, and group functioning (Felps et al., 2006; Barsade and Knight, 2015).”

    From The Groupfeel syndrome: a theory of a counterproductive group emotion (2026) · cites this paper as Felps et al., 2006

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References 199 · Cited by 395

Authors
Felps, W., Mitchell, T. R., & Byington, E.
Venue
Research in Organizational Behavior
Publisher
Elsevier BV
Published
2006-01
Volume
27
Pages
175-222
ISSN
0191-3085 (ISSN-L)
OpenAlex
W1990179990
Cited by
395
References
199
Citations by year
2026: 12 · 2025: 19 · 2024: 20 · 2023: 14 · 2022: 27 · 2021: 33 · 2020: 28 · 2019: 25 · 2018: 24 · 2017: 22 · 2016: 23 · 2015: 22 · 2014: 28 · 2013: 21 · 2012: 23
FWCI
7.78
Type
journal article
Language
en
Open access
closed
Locations
Research in Organizational Behavior (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
  • Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
Keywords
group dynamics, negative affect, perceived inequity, trust, defensive behavior, withdrawal, cooperation, creativity

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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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