The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Do You See What I See? The Future of Virtual Shopping
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Citations
Cites
Exploring the implications of the Internet for consumer marketing
Peterson, R. A., Balasubramanian, S., & Bronnenberg, B. J. (1997) · Journal of the Academy of Marketing Science · doi:10.1177/0092070397254005 · Cited by 1,373
Cited by
Arnold, M. J., & Reynolds, K. E. (2003) · Journal of Retailing · doi:10.1016/s0022-4359(03)00007-1 · Cited by 2,373
E-satisfaction and e-loyalty: A contingency framework
Anderson, R. E., & Srinivasan, S. S. (2003) · Psychology & Marketing · doi:10.1002/mar.10063 · Cited by 2,310
Shopping online for freedom, control, and fun.
Wolfinbarger, M., & Gilly, M. C. (2001) · California Management Review · doi:10.2307/41166074 · Cited by 1,150
Profiling people searching for and purchasing travel products on the World Wide Web
Weber, K., & Roehl, W. S. (1999) · Journal of Travel Research · doi:10.1177/004728759903700311 · Cited by 322
Shopping and word-of-mouth intentions on social media
Mikalef, P., Giannakos, M., & Pateli, A. (2013) · Journal of theoretical and applied electronic commerce research · doi:10.4067/s0718-18762013000100003 · Cited by 265
Online purchase intention in Chinese social commerce platforms: Being emotional or rational?
Akram, U., Junaid, M., Zafar, A. U., Li, Z., & Fan, M. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102669 · Cited by 249
Thomaz, F., Salge, C., Karahanna, E., & Hulland, J. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00704-3 · Cited by 204
“…Web 1.0, there was a fear that by disseminating information widely (particularly price information), firms would lose their ability to effectively price discriminate across markets, segments, and purchase occasions, essentially collapsing markets to a lowest common denominator (e.g., Burke 1997).”
BackgroundInfluentialMobile shopping motivation: an application of multiple discriminant analysis
Yang, K., & Kim, H. (2012) · International Journal of Retail & Distribution Management · doi:10.1108/09590551211263182 · Cited by 160
Pleasure or utility? Time planning style and Web usage behaviors
Cotte, J., Chowdhury, T. G., Ratneshwar, S., & Ricci, L. M. (2006) · Journal of Interactive Marketing · doi:10.1002/dir.20055 · Cited by 140
Jones, J. M., & Vijayasarathy, L. R. (1998) · Internet Research · doi:10.1108/10662249810231069 · Cited by 112
(2012) · Journal of the Association for Information Systems · Cited by 37
Metadata
- Authors
- Burke, R. R.
- Venue
- Journal of the Academy of Marketing Science
- Published
- 1997-09-01
- Volume
- 25
- Issue
- 4
- Pages
- 352-360
- ISSN
- 0092-0703 (ISSN-L)
- OpenAlex
- W2075282088
- Cited by
- 390
- References
- 1
- FWCI
- 44.13
- 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.
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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.
