Cited by 662Technology Adoption and User BehaviourHealth, Technology, Consumer BehaviorConsumer Behavior and Marketing Influence

What drives purchase intention for paid mobile apps? An expectation confirmation model with perceived value

Hsu, Chin-Lung, Lin, Judy Chuan-Chuan·2015·Electronic Commerce Research and Applications

Integrity signals

Registry

Crossref · 10.1016/j.elerap.2014.11.003

Cites

86 of 86 references verified0 citation errors · 0 not checkable

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Authors
Hsu, C.-L., & Lin, J. C.-C.
Affiliations
  • National Taipei University of Business (TW)
  • Soochow University (TW)
Corresponding author
Hsu, Chin-Lung
Venue
Electronic Commerce Research and Applications
Publisher
Elsevier BV
Published
2015-01
Volume
14
Issue
1
Pages
46-57
ISSN
1567-4223 (ISSN-L)
OpenAlex
W2094267460
Cited by
662
References
86
Citations by year
2026: 36 · 2025: 71 · 2024: 63 · 2023: 83 · 2022: 86 · 2021: 91 · 2020: 64 · 2019: 66 · 2018: 44 · 2017: 25 · 2016: 23 · 2015: 9 · 2014: 1
FWCI
33.64
Type
journal article
Language
en
Open access
closed
Locations
Electronic Commerce Research and Applications (publishedVersion)
Funders
National Science Council of the Republic of China (NSC-101-2410-H-141-004, MOST-101-2410-H-031-025-MY2)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
Keywords
purchase intention, expectation-confirmation model, perceived value, app ratings, user behavior patterns, user satisfaction, value for money, app marketing

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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.

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