The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Hedonic usage of product virtualization technologies in online apparel shopping
Abstract
Purpose: The purpose of this study is to investigate whether online apparel shoppers' adoption of product virtualization technologies is facilitated more by hedonic motivations than functional motivations due to the hedonic nature of the product virtualization technologies. Design/methodology/approach: In addition to the focus group interview, two separate online surveys with links to a stimulus web site containing one of the two product virtualization technologies was conducted to a national online shopper sample. The data were analyzed using structural equation modeling by comparing the structural coefficients of hedonic and functional motivations on the attitude toward using the product virtualization technologies. The linear combination of functional and hedonic roles of each technology was examined using discriminant function analysis to see if the results were consistent. Findings: The results showed that the hedonic motivation had a stronger positive relationship than functional motivations with the attitude toward using product virtualization technologies. The empirical findings of this study confirm our proposition that perceived entertainment value is a stronger determinant of attitude toward using product virtualization technologies than perceived usefulness. Originality/value: The findings of the paper support the idea that the direction of technology acceptance model related research should be drawn by the (functional or hedonic) purpose of the technology/system. Based on the current findings, it seems likely that the predictive importance of the hedonic or functional benefits on attitude toward using a particular technology/system will depend, to a large extent, on the primary purpose of the system/technology.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231
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
Hedonic Consumption: Emerging Concepts, Methods and Propositions
Hirschman, E. C., & Holbrook, M. B. (1982) · Journal of Marketing · doi:10.1177/002224298204600314 · Cited by 5,616
Assessing IT Usage: The Role of Prior Experience
Taylor, S., & Todd, P. (1995) · MIS Quarterly · doi:10.2307/249633 · Cited by 2,891
Arnold, M. J., & Reynolds, K. E. (2003) · Journal of Retailing · doi:10.1016/s0022-4359(03)00007-1 · Cited by 2,373
Cited by
Chang, H.-J., Eckman, M., & Yan, R.-N. (2011) · The International Review of Retail, Distribution and Consumer Research · doi:10.1080/09593969.2011.578798 · Cited by 489
Kowalczuk, P., Siepmann (née Scheiben), C., & Adler, J. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.10.050 · Cited by 373
Kim, J., & Forsythe, S. (2010) · International Journal of Retail & Distribution Management · doi:10.1108/09590551011027122 · Cited by 150
Lee, J. E., & Chen-Yu, J. H. (2018) · Fashion and Textiles · doi:10.1186/s40691-018-0128-2 · Cited by 148
Lee, H.-H., Kim, J., & Fiore, A. M. (2010) · Clothing and Textiles Research Journal · doi:10.1177/0887302x09341586 · Cited by 128
Self-citation
Metadata
- Authors
- Kim, J., & Forsythe, S.
- Venue
- International Journal of Retail & Distribution Management
- Publisher
- Emerald
- Published
- 2007-05-22
- Volume
- 35
- Issue
- 6
- Pages
- 502-514
- ISSN
- 0959-0552 (ISSN-L)
- OpenAlex
- W2033712281
- Cited by
- 208
- References
- 8
- FWCI
- 14.31
- Type
- journal article
- Language
- en
- Open access
- closed
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Hedonic usage of product virtualization technologies in online apparel shopping. https://app.cochat.ai/papers/10.1108/09590550710750368
- The paper
- Kim, J., & Forsythe, S. (2007). Hedonic usage of product virtualization technologies in online apparel shopping. International Journal of Retail & Distribution Management. https://doi.org/10.1108/09590550710750368
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.