The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Consumer trust in an Internet store
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“in which 'uncertainty avoidance' and 'individualism / collectivism' were considered to have a significant impact on social interaction in e-commerce [12].”
From How Social Interaction Affects Purchase Intention in Social Commerce: A Cultural Perspective (2019) · cites this paper as [12]
In the citing paper
“Jarvenpaa et al. propose that consumers' adaptability to the online shopping environment and their ability to operate computers are one of the factors a ecting perceived risk [12].”
From How Social Interaction Affects Purchase Intention in Social Commerce: A Cultural Perspective (2019) · cites this paper as [12]
In the citing paper
“trust has been identi fi ed as a critical determinant of consumer purchase intentions in e-commerce”
From Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth (2015) · cites this paper as Jarvenpaa et al., 2000
In the citing paper
“Jarvenpaa [48] identifies trust as a key factor in stimulating consumer purchase and re-purchase behavior.”
From Influence of Perceived Value on Consumers’ Continuous Purchase Intention in Live-Streaming E-Commerce—Mediated by Consumer Trust (2023) · cites this paper as [48]
In the citing paper
“Previous business-to-consumer (B2C) e-commerce research has highlighted the importance of trust between businesses and consumers [2][3][4].”
From The value of seller trustworthiness in C2C online markets (2002) · cites this paper as [4]
In the citing paper
“Trust is important in any relationship in which the buyer has limited control over the seller, the economic risks are high, and the environment is uncertain [4].”
From The value of seller trustworthiness in C2C online markets (2002) · cites this paper as [4]
Citations
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Flagged first, then by citations
Research works printed but not linked: 3
- D.L. Hoffman and T.P. Novak, You can't sell if you don't have a market you can count on, Harvard Business Review 74(6) (November-December 1996) 161.
- P.K. Korgaonkar and A.E. Smith, Psychographic and demographic correlates of electronic in-home shopping and banking service, in: 1986 American Marketing Association Proceedings, eds. T.A. Shimp, G. John, J.H. Lingren, M.P. Gardner, S. Sharma, J.A. Quelch, W. Dillon and R.E. Dyer (American Marketing Association, 1986) pp. 167–169.
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Metadata
- Authors
- Jarvenpaa, S. L., Tractinsky, N., & Vitale, M.
- Affiliations
- Ben-Gurion University of the Negev (IL)
- The University of Melbourne (AU)
- ORCID
- Tractinsky, Noam
- Venue
- Information Technology and Management
- Published
- 2000-11
- Volume
- 1
- Issue
- 1-2
- Pages
- 45-71
- ISSN
- 1385-951X (ISSN-L)
- 1573-7667
- OpenAlex
- W1492586516
- Cited by
- 2,577
- References
- 63
- Citations by year
- 2026: 42 · 2025: 80 · 2024: 71 · 2023: 85 · 2022: 89 · 2021: 100 · 2020: 92 · 2019: 87 · 2018: 69 · 2017: 81 · 2016: 107 · 2015: 139 · 2014: 167 · 2013: 143 · 2012: 168
- FWCI
- 152.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Information Technology and Management (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Keywords
- consumer trust, online retail, online store, store reputation, risk perception, purchase intention, e-commerce
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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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