Modeling Web Site Design Across Cultures: Relationships to Trust, Satisfaction, and E-Loyalty
Abstract
Despite rapidly increasing numbers of diverse online shoppers, the relationship of Web site design to trust, satisfaction, and loyalty has not previously been modeled across cultures. In the current investigation, three components of Web site design (information design, navigation design, and visual design) are considered for their impact on trust and satisfaction. In turn, relationships of trust and satisfaction to online loyalty are evaluated. Utilizing data collected from 571 participants in Canada, Germany, and China, various relationships in the research model are tested using partial least squares analysis for each country separately. In addition, the overall model is tested for all countries combined as a control and verification of earlier research findings, although this time with a mixed country sample. All paths in the overall model are confirmed. Differences are determined for separate country samples concerning whether navigation design, visual design, and information design result in trust, satisfaction, and ultimately loyalty-suggesting design characteristics should be a central consideration in Web site design across cultures.
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Country has been used as a proxy for culture at a group level by several past researchers in cross-cultural studies.
“However, country has been used as a proxy for culture at a group level by several past researchers in cross-cultural studies such as Lee et al. (2007) and Cyr (2008).”
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 Cyr (2008)
Visual appearance such as colour and images resulted in high trust in collectivistic cultures but not in individualistic cultures.
“Visual appearance such as colour and images resulted in high trust in collectivistic cultures but not in individualistic cultures (Cyr, 2008).”
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 Cyr, 2008
Consumers who are high on UA give more preference to web design, such as navigational design, for generating trust.
“Cyr (2008) found that consumers who are high on UA give more preference to web design, such as navigational design for generating trust.”
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 Cyr (2008)
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- Authors
- Cyr, D.
- Affiliations
- Simon Fraser University (CA)
- Corresponding author
- Cyr, Dianne
- Venue
- Journal of Management Information Systems
- Publisher
- Informa UK Limited
- Published
- 2008-04
- Volume
- 24
- Issue
- 4
- Pages
- 47-72
- ISSN
- 0742-1222 (ISSN-L)
- 1557-928X
- OpenAlex
- W2073379693
- Cited by
- 766
- References
- 52
- Citations by year
- 2026: 16 · 2025: 20 · 2024: 29 · 2023: 51 · 2022: 41 · 2021: 61 · 2020: 56 · 2019: 49 · 2018: 34 · 2017: 56 · 2016: 54 · 2015: 49 · 2014: 51 · 2013: 55 · 2012: 47
- FWCI
- 72.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Management Information Systems (publishedVersion)
- 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
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- web design, cross-cultural comparison, online trust, customer satisfaction, e-loyalty, information design, navigation design, visual design, online shopping
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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