Expectation vs. reality: How stereotypes and expectation disconfirmation affect job evaluations in online labor markets
Diana Tran Nhat, Timm Teubner
TL;DR
This study explores how gender stereotypes and expectations influence job evaluations in online labor markets, revealing that stereotypes can lead to biased evaluations even when performance is the same.
Contribution
The study introduces new insights into how gender-domain stereotypes and expectation disconfirmation interact to shape job evaluations in online labor markets.
Findings
Workers in congruent gender-domain settings do not receive higher expectations than those in incongruent roles.
Positive and negative disconfirmation effects do not vary with gender-domain congruity.
Strong gender-domain associations lead to lenient evaluations of workers who fail to meet expectations in stereotypical roles.
Abstract
In online labor markets, reputation determines both job opportunities and pay and even small disparities can translate into significant economic differences. While gender-related bias in reputational metrics such as likes, reviews, and ratings has been empirically documented, the mechanisms through which they arise remain insufficiently understood. This study presents results from an online experiment, varying workers’ gender, domain, and performance, to investigate how expectations about workers are formed and how they affect subsequent evaluations. Drawing on Expectation Disconfirmation Theory and Role Congruity Theory, we test whether the effect of disconfirmation (i.e., discrepancies between expected and actual performance) on evaluations varies with congruity (i.e., stereotypical fit between gender and domain). Contrary to our hypothesis, workers in congruent settings do not elicit…
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Taxonomy
TopicsEmployer Branding and e-HRM · Names, Identity, and Discrimination Research · Experimental Behavioral Economics Studies