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Rebels with a cause? How norm violations shape dominance, prestige, and influence granting

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  • Gerben A van Kleef
  • Florian Wanders
  • Annelies E M van Vianen
  • Rohan L Dunham
  • Xinkai Du
  • Astrid C Homan

Abstract

Norms play an important role in upholding orderly and well-functioning societies. Indeed, violations of norms can undermine social coordination and stability. Much is known about the antecedents of norm violations, but their social consequences are poorly understood. In particular, it remains unclear when and how norm violators gain or lose influence in groups. Some studies found that norm violators elicit negative responses that curtail their influence in groups, whereas other studies documented positive consequences that enhance violators’ influence. We propose that the complex relationship between norm violation and influence can be understood by considering that norm violations differentially shape perceptions of dominance and prestige, which tend to have opposite effects on voluntary influence granting, depending on the type of norm that is violated. We first provide correlational (Study 1) and causal (Study 2) evidence that norm violations are associated with dominance, and norm abidance with prestige. We then examine how dominance, prestige, and resultant influence granting are shaped by whether local group norms and/or global community norms are violated. In Study 3, protagonists who violated global (university) norms but followed local (sorority/fraternity) norms were more strongly endorsed as leaders than protagonists who followed global norms but violated local norms, because the former were perceived not only as high on dominance but also on prestige. In Study 4, popular high-school students were remembered as violating global (school) norms while abiding by local (peer) norms. In Study 5, individuals who violated global (organizational) norms while abiding by local (team) norms were assigned more leadership tasks when global and local norms conflicted (making violators “rebels with a cause”) than when norms did not conflict, because the former situation inspired greater prestige. We discuss implications for the social dynamics of norms, hierarchy development, and leader emergence.

Suggested Citation

  • Gerben A van Kleef & Florian Wanders & Annelies E M van Vianen & Rohan L Dunham & Xinkai Du & Astrid C Homan, 2023. "Rebels with a cause? How norm violations shape dominance, prestige, and influence granting," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-40, November.
  • Handle: RePEc:plo:pone00:0294019
    DOI: 10.1371/journal.pone.0294019
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    References listed on IDEAS

    as
    1. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    2. repec:cup:judgdm:v:12:y:2017:i:4:p:396-407 is not listed on IDEAS
    3. Fisher, Robert J, 1993. "Social Desirability Bias and the Validity of Indirect Questioning," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(2), pages 303-315, September.
    4. Silvia Bellezza & Francesca Gino & Anat Keinan, 2014. "The Red Sneakers Effect: Inferring Status and Competence from Signals of Nonconformity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(1), pages 35-54.
    5. repec:plo:pone00:0083915 is not listed on IDEAS
    6. Kimmo Eriksson & Per A. Andersson & Pontus Strimling, 2017. "When is it appropriate to reprimand a norm violation? The roles of anger, behavioral consequences, violation severity, and social distance," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 12(4), pages 396-407, July.
    7. Eriksson, Kimmo & Andersson, Per A. & Strimling, Pontus, 2017. "When is it appropriate to reprimand a norm violation? The roles of anger, behavioral consequences, violation severity, and social distance," Judgment and Decision Making, Cambridge University Press, vol. 12(4), pages 396-407, July.
    8. Florian Wanders & Astrid C Homan & Annelies E M van Vianen & Rima-Maria Rahal & Gerben A van Kleef, 2021. "How norm violators rise and fall in the eyes of others: The role of sanctions," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-17, July.
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