Cited by 118Technology Adoption and User BehaviourAccess Control and TrustPrivacy, Security, and Data Protection

On-line Reputation Systems: The Effects of Feedback Comments and Reactions on Building and Rebuilding Trust in On-line Auctions

Utz, Sonja, Matzat, Uwe, Snijders, Chris·2009·International Journal of Electronic Commerce

Abstract

Previous research on reputation systems primarily focused on their trust-building function. The present research addresses their trust-rebuilding function-specifically, the role of the short text comments given in reaction to negative feedback. Rebuilding trust is often necessary because on-line markets are noisy environments. The results of two experimental studies of eBay users show that trustworthiness judgments are influenced by the text comments accompanying negative feedback and also by whether a trust violation is perceived as competence-based or morality-based. Plain apologies were more successful than denials in repairing trust. These effects were mediated by the perceived believability of the comments. Thus, to avoid the detrimental effect of noise on trust, operators of on-line marketplaces should encourage text feedback comments and reactions.

Integrity signals

Registry

Crossref · 10.2753/jec1086-4415130304

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Plain apologies from a seller positively affect a buyer's trust, whereas denials have a negative effect on a buyer's trusting beliefs.

    “As to the content, when a seller offers plain apologies, this positively affects a buyer's trust.Denials from a seller, on the other hand, have a negative effect on a buyer's trusting beliefs (Utz et al., 2009).”

    From Antecedents of trust in the sharing economy: A systematic review (2017) · cites this paper as Utz et al., 2009

  • The way a seller responds to feedback influences a buyer's trust.

    “The way a seller responds to feedback influences a buyer's trust, as identified by three studies (Malinen & Ojala, 2013;Strader & Ramaswami, 2002;Utz et al., 2009).”

    From Antecedents of trust in the sharing economy: A systematic review (2017) · cites this paper as Utz et al., 2009

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Utz, S., Matzat, U., & Snijders, C.
Affiliations
  • Vrije Universiteit Amsterdam (NL)
  • Eindhoven University of Technology (NL)
Venue
International Journal of Electronic Commerce
Published
2009-04
Volume
13
Issue
3
Pages
95-118
ISSN
  • 1086-4415 (ISSN-L)
  • 1557-9301
OpenAlex
W2030981093
Cited by
118
References
3
Citations by year
2026: 5 · 2025: 3 · 2024: 5 · 2023: 7 · 2022: 8 · 2021: 8 · 2020: 7 · 2019: 8 · 2018: 7 · 2017: 8 · 2016: 7 · 2015: 8 · 2014: 6 · 2013: 11 · 2012: 6
FWCI
14.51
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Electronic Commerce (publishedVersion)
  • TU/e Research Portal (publishedVersion)
  • VU Research Portal (publishedVersion)
  • TU/e Research Portal (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Sociology and Political Science › Access Control and Trust
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Keywords
online reputation systems, trust building, trust repair, online auctions, negative feedback, user response, eBay

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.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review