When “Signals” Boomerang: Employers’ Reactions to a Novel Signaling Mechanism

Information asymmetry is a persistent challenge in online labor markets because employers cannot directly observe worker quality. Platforms attempt to mitigate this problem by introducing signaling mechanisms. We examine how employers respond to a novel signaling device: a voluntary “worker-offered guarantee,” in which workers deposit their own money alongside job bids. Unlike traditional money-back guarantees, forfeited deposits are donated to charity rather than compensating the employer, making the signal non-compensatory and selectively deployed. Leveraging detailed bid-level data from a leading freelance platform, we find that medium-reputation workers are more likely to adopt the guarantee than both high- and low-reputation workers. Contrary to the intended positive effect, employers systematically penalize workers who offer guarantees. This negative response is attenuated for high-reputation workers, complex projects, and experienced employers. Overall, rather than ignoring the signal, employers engage in counter-screening, actively discounting its use in hiring decisions. More strikingly, this skepticism appears economically justified, as workers offering guarantees perform worse on average than those who do not. Our findings advance signaling theories by empirically documenting receiver-side sophistication in response to a newly introduced signal in a mature market with strong preexisting reputation mechanisms, where employers receive no immediate or reliable feedback about signal validity. From a practical perspective, our study highlights the complexity of user reactions to platform and mechanism design innovations.

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Publication Details

Journal
Information Systems Research
Published
2026-09-04
DOI
https://doi.org/10.1287/isre.2023.0246
Citations
1
Primary Topic
Game Theory and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

When “Signals” Boomerang: Employers’ Reactions to a Novel Signaling Mechanism

Qiang Gao, Yong Liu, Mingfeng Lin
1 citations
Information Systems Research
Game Theory and Applications
article

When “Signals” Boomerang: Employers’ Reactions to a Novel Signaling Mechanism

Qiang Gao, Yong Liu, Mingfeng Lin
article en
1 citations

Abstract

Information asymmetry is a persistent challenge in online labor markets because employers cannot directly observe worker quality. Platforms attempt to mitigate this problem by introducing signaling mechanisms. We examine how employers respond to a novel signaling device: a voluntary “worker-offered guarantee,” in which workers deposit their own money alongside job bids. Unlike traditional money-back guarantees, forfeited deposits are donated to charity rather than compensating the employer, making the signal non-compensatory and selectively deployed. Leveraging detailed bid-level data from a leading freelance platform, we find that medium-reputation workers are more likely to adopt the guarantee than both high- and low-reputation workers. Contrary to the intended positive effect, employers systematically penalize workers who offer guarantees. This negative response is attenuated for high-reputation workers, complex projects, and experienced employers. Overall, rather than ignoring the signal, employers engage in counter-screening, actively discounting its use in hiring decisions. More strikingly, this skepticism appears economically justified, as workers offering guarantees perform worse on average than those who do not. Our findings advance signaling theories by empirically documenting receiver-side sophistication in response to a newly introduced signal in a mature market with strong preexisting reputation mechanisms, where employers receive no immediate or reliable feedback about signal validity. From a practical perspective, our study highlights the complexity of user reactions to platform and mechanism design innovations.

Information Systems Research
Georgia Institute of Technology (US), Pennsylvania State University (US), University of Arizona (US), Baruch College (US), City University of New York (US)
Decent work and economic growth
Openalex Percentile: Top 100%
Game Theory and Applications
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