I lose vs. I earn: Consumer perceived price fairness toward algorithmic (vs. human) price discrimination-Reference-Cited by-同舟云学术

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I lose vs. I earn: Consumer perceived price fairness toward algorithmic (vs. human) price discrimination

Published:2024-05-11 Issue: Volume:114 Page:1-17
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Zhang Xiaoping¹^ORCID,Cheng Xusen¹^ORCID

Affiliation:

1. Renmin University of China, China

Funder

Public Computing Cloud in Renmin University of China

National Natural Science Foundation of China

Metaverse Research Center at Renmin University of China

Outstanding Innovative Talents Cultivation Funded Programs 2022 of Renmin University of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642280

Reference73 articles.

1. The impact of dynamic price variability on revenue maximization

2. Intentional Harms Are Worse, Even When They’re Not

3. Good fortune, luck, opportunity and their lack: How do agents perceive them?

4. Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness

5. Reactions to confirmations and disconfirmations of expectancies of equity and inequity.

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