Cited by 556Consumer Retail Behavior StudiesAugmented Reality ApplicationsTechnology Adoption and User Behaviour

Discernible impact of augmented reality on retail customer’s experience, satisfaction and willingness to buy.

Poushneh, Atieh, Vasquez-Parraga, Arturo Z.·2017·Journal of Retailing and Consumer Services

Integrity signals

Registry

Crossref · 10.1016/j.jretconser.2016.10.005

Cites

4 of 4 references verified0 citation errors · 0 not checkable

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Cites

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Authors
Poushneh, A., & Vasquez-Parraga, A. Z.
Affiliations
The University of Texas Rio Grande Valley (US)
Venue
Journal of Retailing and Consumer Services
Publisher
Elsevier BV
Published
2017-01
Volume
34
Pages
229-234
ISSN
0969-6989 (ISSN-L)
OpenAlex
W2540108128
Cited by
556
References
4
Citations by year
2026: 74 · 2025: 88 · 2024: 78 · 2023: 73 · 2022: 76 · 2021: 61 · 2020: 51 · 2019: 35 · 2018: 13 · 2017: 7
FWCI
38.12
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Retailing and Consumer Services (publishedVersion)
  • ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Retail Behavior Studies
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Keywords
augmented reality, retail experience, user experience, customer satisfaction, purchase intention, product quality, pragmatic quality, aesthetic quality, hedonic quality, consumer technology adoption

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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.

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