The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Cognitive, affective and conative responses to visual simulation: the effects of rotation in online product presentation
Abstract
Rotation, one type of visual simulation used to create three‐dimensional (3‐D) experiences, and currently being used for product presentation on some e‐tail websites, may create consumer responses. Therefore, the purpose of this study is to examine the effects of rotation in product presentation on the cognitive, affective, and conative responses of consumers. This study employed a single‐factor between‐subjects design: product presentation (rotating vs. non‐rotating). Causal model analysis showed the influence of rotation in product presentation on perceived information quantity, mood, attitude, and purchase intention. Theoretical and managerial implications, as well as future research directions, are discussed. Copyright © 2008 John Wiley & Sons, Ltd.
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Cites
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
Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value
Babin, B. J., Darden, W. R., & Griffin, M. (1994) · Journal of Consumer Research · doi:10.1086/209376 · Cited by 6,020
Bettman, J. R., & Park, C. W. (1980) · Journal of Consumer Research · doi:10.1086/208812 · Cited by 1,344
Effect of brand familiarity, experience and information on online apparel purchase
Park, J., & Stoel, L. (2005) · International Journal of Retail & Distribution Management · doi:10.1108/09590550510581476 · Cited by 348
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Cheng, Z., Shao, B., & Zhang, Y. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.812579 · Cited by 57
Metadata
- Authors
- Park, J., Stoel, L., & Lennon, S. J.
- Venue
- Journal of Consumer Behaviour
- Publisher
- Wiley
- Published
- 2008-01
- Volume
- 7
- Issue
- 1
- Pages
- 72-87
- ISSN
- 1472-0817 (ISSN-L)
- 1479-1838
- OpenAlex
- W2013936058
- Cited by
- 239
- References
- 4
- FWCI
- 20.65
- 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.
