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Discrimination Based on Physical Attractiveness: Causes and Consequences A Critical Perspective
1TA Pai Management Institute, Manipal, India.
Psychological Reports
|December 24, 2022
Summary
Physical attractiveness (PA) influences workplace outcomes, often blurring preference and discrimination. This study differentiates between PA preference and discrimination, exploring their causes and implications for diversity and inclusion.
Area of Science:
- Organizational Behavior
- Social Psychology
- Economics
Background:
- Physical attractiveness (PA) has widespread consequences, frequently misattributed as mere preference or discrimination.
- The distinction between preference and discrimination based on PA is crucial, especially in organizational settings where it impacts work-related outcomes.
Purpose of the Study:
- To differentiate between preference and discrimination stemming from physical attractiveness.
- To examine the causes and attributions associated with physical attractiveness discrimination in the workplace.
- To provide insights for diversity and inclusion literature and practice.
Main Methods:
- A systematic review of published studies on physical attractiveness in management and economics between 1970 and 2021.
- Analysis of the literature to identify when and how preference transitions into discrimination.
- Exploration of the antecedents and attributions linked to physical attractiveness.
Main Results:
- Physical attractiveness can lead to outcomes attributed to preference or discrimination, with a fine line distinguishing the two.
- The study identifies specific attributions associated with physical attractiveness that contribute to discriminatory practices.
- Understanding the causes of PA-based discrimination is essential for addressing its impact.
Conclusions:
- Distinguishing between PA preference and discrimination is vital for organizational fairness.
- Attributions linked to physical attractiveness are key drivers of discrimination.
- This research informs diversity and inclusion strategies by clarifying the roots of PA-based bias.
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