Antecedents of trust in online auctions
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Bidding justice-a buyer's overall perception of fairness and treatment received from the seller-influences trust in the community.
“In a study by Chiu et al. (2010) on trust in an online auction market, bidding justice (i.e. a buyer's overall perception of fairness and treatment received from the seller) was found to influence trust in the community.”
From Antecedents of trust in the sharing economy: A systematic review (2017) · cites this paper as Chiu et al., 2010
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References 96 · Cited by 236
- Authors
- Chiu, C.-M., Huang, H.-Y., & Yen, C.-H.
- Affiliations
- National Central University (TW)
- Corresponding author
- Chiu, Chao-Min
- Venue
- Electronic Commerce Research and Applications
- Publisher
- Elsevier BV
- Published
- 2010-03
- Volume
- 9
- Issue
- 2
- Pages
- 148-159
- ISSN
- 1567-4223 (ISSN-L)
- OpenAlex
- W2014792668
- Cited by
- 236
- References
- 96
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 9 · 2023: 14 · 2022: 20 · 2021: 16 · 2020: 20 · 2019: 18 · 2018: 14 · 2017: 13 · 2016: 19 · 2015: 20 · 2014: 16 · 2013: 17 · 2012: 13
- FWCI
- 21.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Electronic Commerce Research and Applications (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Social Sciences › Decision Sciences › Management Science and Operations Research › Auction Theory and Applications
- Keywords
- online auctions, trust, distributive justice, procedural justice, interpersonal justice, informational justice, perceived justice, repurchase intention, customer loyalty
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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