Trust considerations on attitudes towards online purchasing: The moderating effect of privacy and security concerns
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Trust and loyalty are reported in the literature as predictors of purchase intention.
“Trust and loyalty are reported in the literature as predictors of purchase intention (Bonsón Ponte, Carvajal-Trujillo, & Escobar-Rodríguez, 2015; McCole, Ramsey, & Williams, 2010).”
From Consumers Beware: Online Personalized Pricing in Action! How the Framing of a Mandated Discriminatory Pricing Disclosure Influences Intention to Purchase (2020) · cites this paper as McCole, Ramsey, & Williams, 2010
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- Authors
- McCole, P., Ramsey, E., & Williams, J.
- Affiliations
- Queen's University Belfast (GB)
- University of Ulster (GB)
- University of Otago (NZ)
- Corresponding author
- McCole, Patrick
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2010-09
- Volume
- 63
- Issue
- 9-10
- Pages
- 1018-1024
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W2002390923
- Semantic Scholar
- 6f529109af069db4a124b98c452c484978f16274
- Cited by
- 403
- References
- 64
- Citations by year
- 2026: 12 · 2025: 10 · 2024: 22 · 2023: 25 · 2022: 25 · 2021: 43 · 2020: 34 · 2019: 32 · 2018: 19 · 2017: 26 · 2016: 39 · 2015: 36 · 2014: 32 · 2013: 19 · 2012: 14
- FWCI
- 21.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Business Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Research Portal (Queen's University Belfast) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Keywords
- online shopping, consumer trust, vendor trust, online trust, third-party trust, privacy concerns, security concerns, moderating effect, e-commerce adoption, online customer behavior, business-to-consumer relationships
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.
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