Consumer's decision to shop online: The moderating role of positive informational social influence
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Social networking applications are significantly changing the relationship between consumers and e-retailers.
“Such applications are also significantly changing the relationship between consumers and e-retailers (Lee et al., 2011).”
From Individual level culture influence on online consumer iTrust aspects towards purchase intention across cultures: A S-O-R model (2015) · cites this paper as Lee et al., 2011
Social influence can build consumer trust in online shopping more effectively in collectivistic culture than in individualistic culture.
“Social influence can build consumer trust in online shopping more effective in the collectivistic culture than in the individualistic culture (Lee et al., 2011).”
From Individual level culture influence on online consumer iTrust aspects towards purchase intention across cultures: A S-O-R model (2015) · cites this paper as Lee et al., 2011
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- Authors
- Lee, M. K. O., Shi, N., Cheung, C. M. K., Lim, K. H., & Sia, C. L.
- Affiliations
- University of Science and Technology of China (CN)
- Hong Kong Baptist University (HK)
- City University of Hong Kong (HK)
- Corresponding author
- Lee, Matthew K.O.
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2011-08
- Volume
- 48
- Issue
- 6
- Pages
- 185-191
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W2030029424
- Cited by
- 315
- References
- 23
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 17 · 2023: 31 · 2022: 22 · 2021: 40 · 2020: 36 · 2019: 18 · 2018: 21 · 2017: 16 · 2016: 20 · 2015: 28 · 2014: 24 · 2013: 16 · 2012: 6
- FWCI
- 36.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information & Management (publishedVersion)
- HKBU Institutional Repository (Hong Kong Baptist University) (submittedVersion)
- Funders
- City University of Hong Kong
- Hong Kong Baptist University
- University of Hong Kong
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Keywords
- online shopping, purchase decision, online forums, attitude toward online shopping, purchase intention, social influence theory
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 ›
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