Cited by 40Technology Adoption and User BehaviourPrivacy, Security, and Data ProtectionCustomer Service Quality and Loyalty

Factors Influencing Buyer's Trust in Consumer-to-Consumer E Commmerce

Jones, Kiku, Leonard, Lori N. K.·2014·Journal of Computer Information Systems

Abstract

C2C e-commerce is increasingly being utilized by individuals to buy and sell products to and from one another. With this increase in use comes the need for specific studies regarding C2C e-commerce. This study develops and tests a model of buyer's trust in C2C e-commerce. Examining previous trust models, perceived web site quality, third party recognition, fear of seller opportunism, information asymmetry, and Internet safety training are proposed to influence buyer's trust. Additionally, the age the individual first started using a computer is proposed to moderate the relationship between Internet safety training and buyer's trust. The findings indicate that all variables significantly influence buyer's trust in C2C e-commerce, except Internet safety training and the moderation of age of first computer use. A discussion and conclusion are provided.

Integrity signals

Registry

Crossref · 10.1080/08874417.2014.11645724

Cites

4 of 4 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?

  • Recognition of a platform by a third party and the quality of their website contributes to trust development.

    “Also, the recognition of a platform by a third party and the quality of their website contributes to trust development (Jones & Leonard, 2014).”

    From Antecedents of trust in the sharing economy: A systematic review (2017) · cites this paper as Jones & Leonard, 2014

  • Fear of seller opportunism is a likely cause for experiencing risk.

    “Fear of seller opportunism (i.e. the fear that a seller will only behave in his own best interest) is a likely cause for experiencing risk (Jones & Leonard, 2014).”

    From Antecedents of trust in the sharing economy: A systematic review (2017) · cites this paper as Jones & Leonard, 2014

  • Factors relating to perceived risk have an effect on trust.

    “In total, six studies reported factors relating to perceived risk as having an effect on trust (Chen, Lou, et al., 2015;Jones & Leonard, 2014;Möhlmann, 2016;Sutanonpaiboon & Abuhamdieh, 2008;Utz et al., 2009;Zhang et al., 2014).”

    From Antecedents of trust in the sharing economy: A systematic review (2017) · cites this paper as Jones & Leonard, 2014

  • Information asymmetry, where a seller possesses more information, leads to lower levels of trust.

    “When buyers experience information asymmetry, a situation wherein a seller possesses more information, this leads to lower levels of trust (Jones & Leonard, 2014;Wang et al., 2015).”

    From Antecedents of trust in the sharing economy: A systematic review (2017) · cites this paper as Jones & Leonard, 2014

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Jones, K., & Leonard, L. N. K.
Affiliations
  • Quinnipiac University (US)
  • University of Tulsa (US)
Venue
Journal of Computer Information Systems
Published
2014-06
Volume
54
Issue
4
Pages
71-79
ISSN
  • 0887-4417 (ISSN-L)
  • 2380-2057
OpenAlex
W2332299894
Cited by
40
References
4
Citations by year
2026: 1 · 2025: 5 · 2024: 5 · 2023: 5 · 2022: 6 · 2021: 6 · 2020: 3 · 2019: 3 · 2017: 5 · 2016: 1
FWCI
3.82
Type
journal article
Language
en
Open access
closed
Locations
Journal of Computer Information Systems (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
Keywords
consumer-to-consumer e-commerce, buyer trust, perceived website quality, information asymmetry, moderating effect

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