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Cited by 283

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Typology of online shoppers

Keng Kau, Ah, Tang, Yingchan E., Ghose, Sanjoy·2003·Journal of Consumer Marketing

Abstract

This article aims to examine the online buying behavior among a group of Internet users. Based on a sample of over 3,700 Internet users, this study explores their information‐seeking patterns as well as their motivations and concerns for online shopping. Factor analysis and cluster analysis were used to classify the respondents into six types of online shoppers. Coupled with their demographic information and actual buying behavior, it was possible to constitute a distinct profile for each of the segments. Discriminant analysis was also conducted to seek out the important attitudinal variables that differentiated the various clusters of online shoppers. The implications of such classification are also discussed.

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Metadata

Authors
Keng Kau, A., Tang, Y. E., & Ghose, S.
Venue
Journal of Consumer Marketing
Publisher
Emerald
Published
2003-04-01
Volume
20
Issue
2
Pages
139-156
ISSN
0736-3761 (ISSN-L)
OpenAlex
W2076572706
Cited by
283
References
2
FWCI
18.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Typology of online shoppers. https://app.cochat.ai/papers/10.1108/07363760310464604
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Keng Kau, A., Tang, Y. E., & Ghose, S. (2003). Typology of online shoppers. Journal of Consumer Marketing. https://doi.org/10.1108/07363760310464604

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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.