Does AI Disclosure in Discriminatory Pricing Backfire? The Moderating Role of Price Sensitivity and Explanation for Price Differences
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | Proceedings of the 57th Annual Hawaii International Conference on System Sciences |
Editors | Tung X. Bui |
Publisher | University of Hawaii at Manoa |
Pages | 6858-6867 |
ISBN (print) | 978-0-9981331-7-1 |
Publication status | Published - 2024 |
Publication series
Name | Proceedings of the Annual Hawaii International Conference on System Sciences |
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ISSN (Print) | 1530-1605 |
ISSN (electronic) | 2572-6862 |
Conference
Title | 57th Hawaii International Conference on System Sciences (HICSS-57) |
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Location | Hilton Hawaiian Village Waikiki Beach Resort |
Place | United States |
City | Honolulu |
Period | 3 - 6 January 2024 |
Link(s)
Attachment(s) | Documents
Publisher's Copyright Statement
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Document Link | Links
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85199768360&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(b84d67ce-de2d-44e2-aaa0-881c16eb9224).html |
Abstract
This research aimed to examine the moderating role of price sensitivity and explanation for price differences in the relationship between AI disclosure and consumers' revenge behavior, as well as to explore the potential mediating effect of inferred motives. A scenario-based lab experiment was conducted, involving 121 participants who engaged in an online airline ticket booking context. The findings of this study revealed that the positive impact of AI disclosure on revenge behavior was amplified among consumers with high price sensitivity, and this relationship was mediated by inferred motives. Additionally, the provision of explanations alongside AI disclosure was found to increase revenge behavior. These findings contribute to the understanding of consumers' psychological processes and revenge behavior within the context of discriminatory pricing empowered by AI. Moreover, the study offers practical implications for managers aiming to mitigate the negative consequences of discriminatory pricing.
Research Area(s)
- Artificial Intelligence and Digital Discrimination, ai disclosure, discriminatory pricing, explanation, inferred motives, price sensitivity
Bibliographic Note
Research Unit(s) information for this publication is provided by the author(s) concerned.
Citation Format(s)
Does AI Disclosure in Discriminatory Pricing Backfire? The Moderating Role of Price Sensitivity and Explanation for Price Differences. / Peng, Xiao; Peng, Xixian; Xu, David (Jingjun).
Proceedings of the 57th Annual Hawaii International Conference on System Sciences. ed. / Tung X. Bui. University of Hawaii at Manoa, 2024. p. 6858-6867 (Proceedings of the Annual Hawaii International Conference on System Sciences).
Proceedings of the 57th Annual Hawaii International Conference on System Sciences. ed. / Tung X. Bui. University of Hawaii at Manoa, 2024. p. 6858-6867 (Proceedings of the Annual Hawaii International Conference on System Sciences).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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