ArticlePsychological science2014
The too-much-talent effect: team interdependence determines when more talent is too much or not enough.
Article in Psychological science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed.
- Exploring the impact of specialist and generalist stars on organizational performance.PloS one · 2026Article
- Rethinking the strongest link: VAL, ratings, and team success in Hungarian basketball.Frontiers in sports and active living · 2025Article
- Competing Against Former Teammates Predicts Team Victory.Sports economics review · 2024Article
- CCTFv2: Modeling Cyber Competitions.Entropy (Basel, Switzerland) · 2024Article
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- A theory of the skill-performance relationship.Frontiers in psychology · 2024Review
- The impact of asynchronous online anatomy teaching and smaller learning groups in the anatomy laboratory on medical students' performance during the Covid-19 pandemic.Anatomical sciences education · 2022Article
- Getting Ahead While Getting Along: Followership as a Key Ingredient for Shared Leadership and Reducing Team Conflict.Frontiers in psychology · 2022Article
- Never Too Much-The Benefit of Talent to Team Performance in the National Basketball Association: Comment on Swaab, Schaerer, Anicich, Ronay, and Galinsky (2014).Psychological science · 2021Article
- Historically rice-farming societies have tighter social norms in China and worldwide.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Prior shared success predicts victory in team competitions.Nature human behaviour · 2019Article
- Collective hormonal profiles predict group performance.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- A Social Identity Approach to Sport Psychology: Principles, Practice, and Prospects.Sports medicine (Auckland, N.Z.) · 2015Review
- Hierarchical cultural values predict success and mortality in high-stakes teams.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- "Team chemistry" through chemistry lenses: interdisciplinary science or a metaphorical conundrum?Frontiers in psychology · 2015Article
- To schedule or not to schedule? Agentic and cooperative teams at call centers.Frontiers in psychology · 2014Article
- The Relationship Between Team Size, Location, and Performance in Preclinical Medical Education Active Learning.Journal of medical education and curricular developmentArticle
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Five studies examined the relationship between talent and team performance. Two survey studies found that people believe there is a linear and nearly monotonic relationship between talent and performance: Participants expected that more talent improves performance and that this relationship never turns negative. However, building off research on status conflicts, we predicted that talent facilitates performance-but only up to a point, after which the benefits of more talent decrease and eventually become detrimental as intrateam coordination suffers. We also predicted that the level of task interdependence is a key determinant of when more talent is detrimental rather than beneficial. Three archival studies revealed that the too-much-talent effect emerged when team members were interdependent (football and basketball) but not independent (baseball). Our basketball analysis also established the mediating role of team coordination. When teams need to come together, more talent can tear them apart.
Indexed as
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24973135What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.