Cited by 981Technology Adoption and User BehaviourUsability and User Interface DesignConsumer Behavior and Marketing Influence

The effect of web interface features on consumer online purchase intentions

Hausman, Angela V., Siekpe, Jeffrey Sam·2009·Journal of Business Research

Integrity signals

Registry

Crossref · 10.1016/j.jbusres.2008.01.018

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48 of 48 references verified0 citation errors · 0 not checkable

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Authors
Hausman, A. V., & Siekpe, J. S.
Affiliations
  • Xavier University (US)
  • Tennessee State University (US)
Corresponding author
Hausman, Angela V.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2009-01
Volume
62
Issue
1
Pages
5-13
ISSN
0148-2963 (ISSN-L)
OpenAlex
W2007634774
Cited by
981
References
48
Citations by year
2026: 24 · 2025: 36 · 2024: 61 · 2023: 60 · 2022: 72 · 2021: 91 · 2020: 74 · 2019: 64 · 2018: 75 · 2017: 64 · 2016: 53 · 2015: 67 · 2014: 64 · 2013: 47 · 2012: 55
FWCI
54.91
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Business Research (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
Keywords
web interface design, online purchase intention, revisit intention, uses and gratifications theory, technology acceptance model, flow, consumer behavior, 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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