The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator
Abstract
Purpose: The purpose of this paper is to investige whether online environment cues (web site quality and web site brand) affect customer purchase intention towards an online retailer and whether this impact is mediated by customer trust and perceived risk. The study also aimed to assess the degree of reciprocity between consumers' trust and perceived risk in the context of an online shopping environment. Design/methodology/approach: The study proposed a research framework for testing the relationships among the constructs based on the stimulus‐organism‐response framework. In addition, this study developed a non‐recursive model. After the validation of measurement scales, empirical analyses were performed using structural equation modelling. Findings: The findings confirm that web site quality and web site brand affect consumers' trust and perceived risk, and in turn, consumer purchase intention. Notably, this study finds that the web site brand is a more important cue than web site quality in influencing customers' purchase intention. Furthermore, the study reveals that the relationship between trust and perceived risk is reciprocal. Research limitations/implications: This study adopted four dimensions – technical adequacy, content quality, specific content and appearance – to measure web site quality. However, there are still many competing concepts regarding the measurement of web site quality. Further studies using other dimensional measures may be needed to verify the research model. Practical implications: Online retailers should focus their marketing strategies more on establishing the brand of the web site rather than improving the functionality of the web site. Originality/value: This study proposed a non‐recursive model for empirically analysing the link between web site quality, web site brand, trust, perceived risk and purchase intention towards the online retailer.
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Cites
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
Servicescapes: The Impact of Physical Surroundings on Customers and Employees
Bitner, M. J. (1992) · Journal of Marketing · doi:10.2307/1252042 · Cited by 7,271
(2003) · International Journal of Electronic Commerce · doi:10.1080/10864415.2003.11044275 · Cited by 5,715
Lewis, J. D., & Weigert, A. (1985) · Social Forces · doi:10.2307/2578601 · Cited by 4,163
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008) · Decision Support Systems · doi:10.1016/j.dss.2007.07.001 · Cited by 3,613
E-commerce: the role of familiarity and trust.
Gefen, D. (2000) · Omega · doi:10.1016/s0305-0483(00)00021-9 · Cited by 3,529
eTailQ: dimensionalizing, measuring and predicting etail quality
Wolfinbarger, M., & Gilly, M. C. (2003) · Journal of Retailing · doi:10.1016/s0022-4359(03)00034-4 · Cited by 2,340
Wu, J.-H., & Wang, S.-C. (2005) · Information & Management · doi:10.1016/j.im.2004.07.001 · Cited by 2,284
Building consumer trust online
Hoffman, D. L., Novak, T. P., & Peralta, M. (1999) · Communications of the ACM · doi:10.1145/299157.299175 · Cited by 2,132
Cited by
Predicting green product consumption using theory of planned behavior and reasoned action
Paul, J., Modi, A., & Patel, J. (2016) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2015.11.006 · Cited by 2,399
The Role of Live Streaming in Building Consumer Trust and Engagement with Social Commerce Sellers
Wongkitrungrueng, A., & Assarut, N. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2018.08.032 · Cited by 1,477
Chen, Y., & Chang, C. (2012) · Management Decision · doi:10.1108/00251741211216250 · Cited by 1,370
Chiu, C., Wang, E. T. G., Fang, Y., & Huang, H. (2014) · Information Systems Journal · doi:10.1111/j.1365-2575.2012.00407.x · Cited by 1,332
Chen, Y.-S., & Chang, C.-H. (2013) · Journal of Business Ethics · doi:10.1007/s10551-012-1360-0 · Cited by 1,281
Metadata
- Authors
- Hsin Chang, H., & Wen Chen, S.
- Venue
- Online Information Review
- Publisher
- Emerald
- Published
- 2008-11-21
- Volume
- 32
- Issue
- 6
- Pages
- 818-841
- ISSN
- 1468-4527 (ISSN-L)
- OpenAlex
- W1482244801
- Cited by
- 814
- References
- 22
- FWCI
- 26.26
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.