Cited by 375Technology Adoption and User BehaviourCustomer Service Quality and LoyaltyHealth, Technology, Consumer Behavior

A meta-analysis of antecedents and consequences of trust in mobile commerce

Sarkar, Subhro, Chauhan, Sumedha, Khare, Arpita·2020·International Journal of Information Management

Integrity signals

Registry

Crossref · 10.1016/j.ijinfomgt.2019.08.008

Cites

194 of 194 references verified0 citation errors · 0 not checkable

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Cites

2 retracted

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Authors
Sarkar, S., Chauhan, S., & Khare, A.
Affiliations
  • Indian Institute of Management Rohtak (IN)
  • O. P. Jindal Global University (IN)
Corresponding author
Chauhan, Sumedha
Venue
International Journal of Information Management
Publisher
Elsevier BV
Published
2020-02
Volume
50
Pages
286-301
ISSN
0268-4012 (ISSN-L)
OpenAlex
W2975232500
Cited by
375
References
194
Citations by year
2026: 35 · 2025: 50 · 2024: 67 · 2023: 76 · 2022: 79 · 2021: 51 · 2020: 15 · 2019: 1
FWCI
6.35
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Information Management (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
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
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
Keywords
antecedents of trust, consequences of trust, perceived usefulness, perceived ease of use, system quality, information quality, service quality, user interface, risk perception, perceived security, structural assurance, ubiquity, disposition to trust, attitudes, user satisfaction, behavioral intention, loyalty, cultural moderation

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.

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