1. The strength of weak leaders: an experiment on social influence and social learning in teams
- Author
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Berno Buechel, Stefan Klößner, Heiko Rauhut, Martin Lochmüller, University of Zurich, and Buechel, Berno
- Subjects
Overconfidence ,Economics, Econometrics and Finance (miscellaneous) ,Declaration ,2001 Economics, Econometrics and Finance (miscellaneous) ,Confidence ,Conservatism ,Sortition ,Bayesian Updating ,050105 experimental psychology ,C91 ,0502 economics and business ,ddc:330 ,Team leader ,Naïve Learning ,0501 psychology and cognitive sciences ,050207 economics ,Competence (human resources) ,10095 Institute of Sociology ,Social influence ,300 Social sciences, sociology & anthropology ,business.industry ,05 social sciences ,Social Influence ,Public relations ,Social learning ,ComputingMilieux_GENERAL ,Wisdom of crowds ,D83 ,Social Networks ,050206 economic theory ,D85 ,business ,Psychology ,Social psychology ,Wisdom of Crowds ,Overconfidence effect - Abstract
We investigate how the selection process of a leader affects team performance with respect to social learning. We use a lab experiment in which an incentivized guessing task is repeated in a star network with the leader at the center. Leader selection is either based on competence, on self-confidence, or made at random. Teams with random leaders do not underperform compared to rather competent leaders, and they even outperform teams whose leader is selected based on self-confidence. The reason is that random leaders are better able to use the knowledge within the team, i.e., the wisdom of crowds. We can show that it is the declaration of the selection procedure which makes non-random leaders overly influential. The central position in the communication network already makes a leader highly influential. Knowing that the leader is not selected at random pushes team members to weigh the leader’s opinion even more. We set up a horse race between several rational and naive models of social learning to investigate the micro-level mechanisms. We find that overconfidence and conservatism contribute to the fact that too confident leaders mislead their team in finding good estimates.
- Published
- 2019
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