When Is It Fairer to Allocate Resources for Training to Lower Performing Versus Higher Performing Employees?

ABSTRACT Professional development and training are essential for organizational growth and success, but resource constraints often force managers into a dilemma: Should they train their lower performing or higher performing employees? While lower performers with greater skill gaps can benefit more from training than higher performers, managers must also consider employees’ fairness concerns. Using an interactive experiment, we predict and find that how employees react to their manager's allocation of training resources depends on the prevailing fairness norms in the work environment. When egalitarian norms dominate, such as when employees have little control over their job tasks, lower performers take the receipt of resources for training for granted and react negatively when the manager allocates those resources to higher performers instead. In contrast, when meritocratic norms dominate, such as when employees have more control over their job tasks, higher performers react more negatively than lower performers to not receiving training resources. Additional experiments suggest that these fairness‐norm–dependent reactions are most pronounced under tournament incentives and may disappear under individual performance‐based pay. Overall, our study highlights the importance for managers to consider both employee productivity and the prevailing fairness norms of the work environment when allocating scarce training resources.

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Publication Details

Journal
Journal of Accounting Research
Published
2026-09-20
DOI
https://doi.org/10.1111/1475-679x.70085
Primary Topic
Experimental Behavioral Economics Studies
Type
article
Field-Weighted Citation Impact
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article

When Is It Fairer to Allocate Resources for Training to Lower Performing Versus Higher Performing Employees?

Eric W. Chan, Martin Wiernsperger, Mackenzie Feinberg
Journal of Accounting Research
Experimental Behavioral Economics Studies
article

When Is It Fairer to Allocate Resources for Training to Lower Performing Versus Higher Performing Employees?

Eric W. Chan, Martin Wiernsperger, Mackenzie Feinberg
article en

Abstract

ABSTRACT Professional development and training are essential for organizational growth and success, but resource constraints often force managers into a dilemma: Should they train their lower performing or higher performing employees? While lower performers with greater skill gaps can benefit more from training than higher performers, managers must also consider employees’ fairness concerns. Using an interactive experiment, we predict and find that how employees react to their manager's allocation of training resources depends on the prevailing fairness norms in the work environment. When egalitarian norms dominate, such as when employees have little control over their job tasks, lower performers take the receipt of resources for training for granted and react negatively when the manager allocates those resources to higher performers instead. In contrast, when meritocratic norms dominate, such as when employees have more control over their job tasks, higher performers react more negatively than lower performers to not receiving training resources. Additional experiments suggest that these fairness‐norm–dependent reactions are most pronounced under tournament incentives and may disappear under individual performance‐based pay. Overall, our study highlights the importance for managers to consider both employee productivity and the prevailing fairness norms of the work environment when allocating scarce training resources.

Journal of Accounting Research
Johnson & Johnson (United States) (US), Emory University (US), Cornell University (US), The University of Texas at Austin (US)
Decent work and economic growth
Openalex Percentile: Top 7%
Experimental Behavioral Economics Studies
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When Is It Fairer to Allocate Resources for Training to Lower Performing Versus Higher Performing Employees? — Eric W. Chan, Martin Wiernsperger, et al. · Journal of Accounting Research (2026) | TGRS Research Map | TGRS