The development of initial trust in an online company by new customers
Integrity signals
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The model by Koufaris and Hampton-Sosa identifies organization reputation, perceived ease of use, and perceived security control as important antecedents, but does not include healthcare-specific factors.
“The model for developing initial trust in an online company by Koufaris and Hampton-Sosa [35] identifies organization reputation, perceived ease of use, and perceived security control as important antecedents, but does not include healthcare-specific factors.”
From Trust in telemedicine portals for rehabilitation care: an exploratory focus group study with patients and healthcare professionals (2015) · cites this paper as [35]
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- Authors
- Koufaris, M., & Hampton-Sosa, W.
- Affiliations
- Baruch College (US)
- Corresponding author
- Koufaris, Marios
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2004-01
- Volume
- 41
- Issue
- 3
- Pages
- 377-397
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W2149374429
- Semantic Scholar
- bf8ac3b460fd08022857cdcdcccc48d67804bec8
- Cited by
- 1,114
- References
- 89
- Citations by year
- 2026: 20 · 2025: 45 · 2024: 46 · 2023: 40 · 2022: 67 · 2021: 69 · 2020: 67 · 2019: 67 · 2018: 69 · 2017: 51 · 2016: 61 · 2015: 47 · 2014: 64 · 2013: 67 · 2012: 62
- FWCI
- 29.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information & Management (publishedVersion)
- Funders
- City University of New York
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Keywords
- initial trust, internet companies, new customers, product customization, website usefulness, perceived ease of use, web security, trust propensity, online shopping, trust model
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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