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Missing the Mark: Evaluations at Work Perpetuate Inequality

Research from Columbia Business School reveals that understanding how biases persist in evaluations can help to address inequality 

Based on Research by
Mabel Abraham, Tristan Botelho, Gabrielle Lamont-Dobbin
Published
November 18, 2024
Publication
CBS Newsroom
Focus On
Business & Society, Diversity, Equity & Inclusion (DEI), Leadership & Organizational Behavior
Jump to main content
Employee Performance Evaluation And Appraisal. Employer Feedback
Category
Thought Leadership
News Type(s)
Press Release
Topic(s)
Business and Society, Labor, Leadership and Strategy, Organizations

About the Researcher(s)

Mabel Abraham

Mabel Abraham

Barbara and Meyer Feldberg Associate Professor of Business
Management Division

View the Research

The (Re)Production of Inequality in Evaluations: A Unifying Framework Outlining the Drivers of Gender and Racial Differences in Evaluative Outcomes*

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NEW YORK, NY — Evaluations at work are far from objective. Existing evaluation systems in American workplaces often perpetuate social and economic inequalities. A new research paper from Columbia Business School sheds light on this critical issue, presenting a comprehensive framework to understand how gender and racial disparities are produced and reproduced across various professional environments, including digital platforms, entrepreneurship, and traditional employment. Despite a substantial body of previous research on evaluation and inequality, findings have often remained siloed, with insights confined to specific types of workplaces and evaluation types, such as hiring and performance reviews.

In the paper “The (Re)Production of Inequality in Evaluations,” Professor Mabel Abraham, the Barbara and Meyer Feldberg Associate Professor of Business, explores the systemic factors that perpetuate inequality in workplace evaluations. The proposed framework identifies three key drivers: prevailing beliefs surrounding evaluative contexts, the design and structure of evaluation processes, and the characteristics of evaluators themselves. For instance, organizations that emphasize meritocracy may inadvertently reinforce inequality by giving the false sense that things are already equitable. Professor Abraham also highlights that evaluators' biases, which may vary by their own race, gender, and social background, can skew outcomes, particularly when processes lack formalization or consistency.  By unpacking how these drivers interact, Abraham argues for a more nuanced and structural approach to reform, focusing on how racial, gender and social biases can be mitigated across different professional contexts. Her work underscores the need for systemic reforms that address these intertwined factors to reduce inequality.

"This framework has real potential for organizations seeking to foster equity and inclusion," said Professor Mabel Abraham. "By identifying how evaluations contribute to the persistence of inequality, we offer a blueprint for how organizations can create processes that ensure fairer and more equitable opportunities for everyone."

This groundbreaking framework is constructed by synthesizing key research on evaluations across various professional environments, identifying major commonalities that can be generalized across industries. The framework aims to serve as a vital resource for scholars, practitioners, and policymakers committed to dismantling systemic inequalities within evaluation systems and promoting a more equitable future. However, future research is needed to deepen the understanding on how technology shapes inequality in evaluation processes, how the experiences of evaluators shape how they evaluate others, and how evaluation processes produce inequality in non-Western contexts. These insights could enhance the framework and support the quest for strategies that effectively promote equity in the workplace. 

Additional Findings 

  • Racial inequality is under-studied: The research highlights that while gender inequality has been widely studied, racial inequality—particularly involving Black workers—has received far less attention. This gap needs to be addressed to create fairer evaluations.

  • Technology’s mixed impact: Emerging technologies, like algorithmic evaluations and remote work platforms, have complex effects on inequality. While technology can remove some human biases, it can also reinforce inequalities if the algorithms are trained on biased historical data.

  • Cross-cultural differences: Evaluations in professional contexts differ across cultures. In Western countries, characteristics like independence may be valued more, whereas, in Eastern cultures, communal behaviors and respect for hierarchy are often prioritized. Understanding these differences is important for tackling inequality globally.

"We need deeper research into how new technologies and variations across global contexts impact evaluations, but this framework is just the start—it offers business leaders and policymakers a clearer path to redesign evaluations and understand why some processes fall short,” said Professor Abraham. 

To learn more about the cutting-edge research being conducted, please visit the Columbia Business School.

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About the Researcher(s)

Mabel Abraham

Mabel Abraham

Barbara and Meyer Feldberg Associate Professor of Business
Management Division

View the Research

The (Re)Production of Inequality in Evaluations: A Unifying Framework Outlining the Drivers of Gender and Racial Differences in Evaluative Outcomes*
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