The performance paradox: why your best employees are not your most loyal

Purpose This study aims to challenge the fundamental assumption that high-performing employees are more loyal, revealing why traditional retention strategies may be failing and what HR leaders should do instead. Design/methodology/approach The authors analyzed 11,470 employees across two major data sets using survival analysis – a powerful technique that predicts not just who will leave, but when they’re most likely to go. This approach moves beyond simple yes/no predictions to provide timing insights crucial for proactive retention. Findings High performers leave at exactly the same rate as average performers. The biggest predictor of employee departure is not performance – it is overtime work, which increases turnover risk by 242%. Single employees and frequent business travellers also show dramatically higher attrition rates. Practical implications HR leaders should redirect retention budgets from performance-based bonuses to work-life balance initiatives. Companies implementing these findings could save millions in turnover costs while improving employee satisfaction. Originality/value This is the first large-scale study to definitively prove the “performance paradox” and provide HR professionals with a practical roadmap for implementing survival analysis in their retention strategies.

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Publication Details

Journal
Strategic HR Review
Published
2025-11-24
DOI
https://doi.org/10.1108/shr-10-2025-0103
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

The performance paradox: why your best employees are not your most loyal

Shahnaz Haque, Umme Humayara Manni
Strategic HR Review
AI and HR Technologies
article

The performance paradox: why your best employees are not your most loyal

Shahnaz Haque, Umme Humayara Manni
article en

Abstract

Purpose This study aims to challenge the fundamental assumption that high-performing employees are more loyal, revealing why traditional retention strategies may be failing and what HR leaders should do instead. Design/methodology/approach The authors analyzed 11,470 employees across two major data sets using survival analysis – a powerful technique that predicts not just who will leave, but when they’re most likely to go. This approach moves beyond simple yes/no predictions to provide timing insights crucial for proactive retention. Findings High performers leave at exactly the same rate as average performers. The biggest predictor of employee departure is not performance – it is overtime work, which increases turnover risk by 242%. Single employees and frequent business travellers also show dramatically higher attrition rates. Practical implications HR leaders should redirect retention budgets from performance-based bonuses to work-life balance initiatives. Companies implementing these findings could save millions in turnover costs while improving employee satisfaction. Originality/value This is the first large-scale study to definitively prove the “performance paradox” and provide HR professionals with a practical roadmap for implementing survival analysis in their retention strategies.

Strategic HR Review
Shahjalal University of Science and Technology (BD), Metropolitan University (BD)
Openalex Percentile: Top 57%
AI and HR Technologies
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