Reference health

Algorithm Aversion: Evidence from Ridesharing Drivers

https://doi.org/10.2139/ssrn.4194660
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26/26 checkable references clean · checked 2026-08-07

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

13 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 26 checked references that resolve
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AI Adoption and System-Wide Change
resolves10.1145/3527449
Survey on the Objectives of Recommender Systems: Measures, Solutions, Evaluation Methodology, and New Perspectives
resolves10.1287/orsc.2021.1554
Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
resolves10.1257/jep.12.3.151
Learning from the Behavior of Others: Conformity, Fads, and Informational Cascades
resolves10.1017/9781108856089.008
Artificial Intelligence Technologies and Aggregate Growth Prospects
resolves10.1287/mnsc.2019.3388
Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform
resolves10.1002/bdm.2155
A systematic review of algorithm aversion in augmented decision making
resolves10.1038/s41562-021-01146-0
Understanding, explaining, and utilizing medical artificial intelligence
resolves10.1177/0022243719851788
Task-Dependent Algorithm Aversion
resolves10.1145/3033274.3085098
Surge Pricing Solves the Wild Goose Chase
resolves10.1257/aer.p20161002
Disruptive Change in the Taxi Business: The Case of Uber
resolves10.1177/0956797620948841
People Reject Algorithms in Uncertain Decision Domains Because They Have Diminishing Sensitivity to Forecasting Error
resolves10.1038/s41746-021-00385-9
Do as AI say: susceptibility in deployment of clinical decision-aids
resolves10.3386/w29674
Designing Quality Certificates: Insights from eBay
resolves10.1016/j.trc.2021.103289
Real-world ride-hailing vehicle repositioning using deep reinforcement learning
resolves10.1287/mnsc.2020.3599
When Will Workers Follow an Algorithm? A Field Experiment with a Retail Business
resolves10.1287/isre.2018.0800
How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation via Randomized Field Experiment
resolves10.1257/aer.20191777
Social Media, News Consumption, and Polarization: Evidence from a Field Experiment
resolves10.1287/mnsc.2020.3721
Do Digital Platforms Reduce Moral Hazard? The Case of Uber and Taxis
resolves10.1016/j.obhdp.2018.12.005
Algorithm appreciation: People prefer algorithmic to human judgment
resolves10.1177/0022242920956676
Artificial Intelligence Coaches for Sales Agents: Caveats and Solutions
resolves10.1016/0020-7373(91)90022-Y
The impact of experience on the design of user interface
resolves10.1002/jcpy.1313
How to overcome algorithm aversion: Learning from mistakes
resolves10.1287/mksc.2019.1187
Mobile Hailing Technology and Taxi Driving Behaviors
resolves10.1006/obhd.1996.0042
The Effects of Experience and a Decision Aid on the Slope, Scatter, and Bias of Earnings Forecasts
resolves10.1287/mnsc.1110.1459
Rational Herding in Microloan Markets
The 13 references without a DOI — listed, not checked
no DOI — not checkedref9
no DOI — not checkedEconomics, fairness and algorithmic bias. preparation for
no DOI — not checkedOvercoming algorithm aversion: People will use imperfect algorithms if they can (even slightly) modify them
no DOI — not checkedref16
no DOI — not checkedLearning by driving: Productivity improvements by new york city taxi drivers
no DOI — not checkedref19
no DOI — not checkedWhy are we averse towards algorithms? a comprehensive literature review on algorithm aversion
no DOI — not checkedHuman decisions and machine predictions
no DOI — not checkedThe geography of ridesharing: A case study on new york city
no DOI — not checkedref26
no DOI — not checkedFrontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases
no DOI — not checkedref37
no DOI — not checkedref39
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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