An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Empirical findings on drivers like perceived risk and subjective norm show discrepancies in the direction and significance.
“For example, the empirical findings on drivers like perceived risk and subjective norm show discrepancies in the direction and significance”
From Drivers of Consumer Adoption of e-Commerce: a Meta-Analysis (2022) · cites this paper as Faqih, 2016
The citation lists haven’t been fetched yet
References 224 · Cited by 262
- Authors
- Faqih, K. M. S.
- Affiliations
- Al al-Bayt University (JO)
- Corresponding author
- Faqih, Khaled M.S.
- ORCID
- Faqih, Khaled M.S.
- Venue
- Journal of Retailing and Consumer Services
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 30
- Pages
- 140-164
- ISSN
- 0969-6989 (ISSN-L)
- OpenAlex
- W2265619644
- Cited by
- 262
- References
- 224
- Citations by year
- 2026: 12 · 2025: 38 · 2024: 34 · 2023: 42 · 2022: 30 · 2021: 37 · 2020: 20 · 2019: 16 · 2018: 16 · 2017: 11 · 2016: 6
- FWCI
- 30.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Retailing and Consumer Services (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 › Marketing › Consumer Behavior and Marketing Influence
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Keywords
- behavioral intention, technology adoption, moderating effect of gender, perceived ease of use, perceived usefulness, perceived compatibility, social influence, trust, risk perception, privacy, security (computing), self-efficacy, price, developing countries
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