Star Employee Dynamics in Organizational Performance
Summary
Star employees are individuals whose contributions far exceed organisational norms, driving innovation, productivity and competitive advantage. Research has explored how these high performers shape team processes, knowledge flows and cultural norms, as well as how their presence influences appraisal systems and peer behaviours. While stars can catalyse growth through mentorship, exemplary practices and knowledge sharing, they may also generate unintended consequences such as inflated role expectations, dependency effects and coordination challenges. The balance between harnessing their unique skills and integrating them sustainably into broader talent ecosystems has emerged as a critical concern for managers. Contemporary work emphasises the need for adaptive performance metrics, inclusive leadership and structured knowledge‐sharing mechanisms to optimise the benefits of star contributions while mitigating potential downsides for team coherence and long‐term capability building.
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Star Employee Dynamics in Organizational Performance publication trend
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Technical terms
Star employee: An individual whose output and influence substantially exceed organisational norms, shaping performance, culture and innovation.
Role expectation theory: A framework positing that anticipated standards of behaviour and achievement influence both performance evaluation and reward allocation.
Too Much Talent effect: The hypothesis that excessive concentration of high‐skilled members in a team can undermine coordination, although recent evidence challenges its generality.
Status: The relative prestige or rank accorded to an individual within an organisation, which can affect expectations, resource access and appraisal outcomes.
References
- Employee Status, Role Expectation and Performance Evaluation: Evidence from NBA Players. British Journal of Management (2024).
- Never Too Much—More talent in football (always) leads to more success. PLOS ONE (2024).
- Attributes of Star Performers. JISR management and social sciences & economics (2009).
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