The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
The role of the technology acceptance model in explaining effects of image interactivity technology on consumer responses
Abstract
Abstract Purpose – The impact of web site interactivity on e‐commerce has been emphasized in industry and empirical literature. The purpose of this paper is to focus on image interactivity technology (IIT) of a web site and apply the technology acceptance model (TAM) to examine factors influencing consumers' attitude toward an online retailer. Design/methodology/approach – Data were collected from 206 respondents using a between‐subject experimental design and were analyzed using LISREL 8.54 to examine a proposed model. Findings – Results of the present study support the positive effect of web site IIT on attitude and behavioral intention toward the online retailer and show TAM aspects help explain the effects of IIT on consumer responses. All three aspects of TAM, perceived usefulness, perceived ease of use and perceived enjoyment, significantly enhanced consumer attitude and behavioral intention towards an online retailer. Hedonic shopping orientation had a significant effect on one aspect of TAM (perceived enjoyment) and utilitarian shopping orientation had a significant effect on two TAM aspects (perceived usefulness and perceived ease of use). Research limitations/implications – Limitations of the present study include sampling, which prevent the generalization of our results to all internet users. Practical implications – IIT may be a valuable strategy for online retailers; however, these retailers need to develop useful, easy to use, and enjoyable IIT features that appeal to both hedonic and utilitarian shoppers. Originality/value – The study was the first attempt to examine the role of TAM in explaining the relationship between IIT and resulting consumer responses.
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Cites
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“systems, as is perceived usefulness (Davis, 1989, 1993; Davis et al., 1992; Mathieson, 1991).”
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Cited by
Determinants of customer repurchase intention in online shopping
Chiu, C., Chang, C., Cheng, H., & Fang, Y. (2009) · Online Information Review · doi:10.1108/14684520910985710 · Cited by 657
Poushneh, A., & Vasquez-Parraga, A. Z. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.10.005 · Cited by 556
Rese, A., Baier, D., Geyer-Schulz, A., & Schreiber, S. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.10.010 · Cited by 470
Kim, J., Fiore, A. M., & Lee, H.-H. (2007) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2006.05.001 · Cited by 408
Self-citationHow perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents
Moussawi, S., Koufaris, M., & Benbunan-Fich, R. (2021) · Electronic Markets · doi:10.1007/s12525-020-00411-w · Cited by 406
Metadata
- Authors
- Lee, H., Fiore, A. M., & Kim, J.
- Venue
- International Journal of Retail & Distribution Management
- Publisher
- Emerald
- Published
- 2006-08
- Volume
- 34
- Issue
- 8
- Pages
- 621-644
- ISSN
- 0959-0552 (ISSN-L)
- OpenAlex
- W1964656302
- Cited by
- 295
- References
- 18
- FWCI
- 22.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lee, H., Fiore, A. M., & Kim, J. (2006). The role of the technology acceptance model in explaining effects of image interactivity technology on consumer responses. International Journal of Retail & Distribution Management. https://doi.org/10.1108/09590550610675949
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.