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Cited by 263

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Development of electronic commerce user‐consumer satisfaction index (ECUSI) for Internet shopping

Cho, Namjae, Park, Sanghyuk·2001·Industrial Management & Data Systems

Abstract

Customers in an Internet shopping environment actually play dual roles. One is the role as a customer in a shopping place, and the other is the role as a user of information technology. In both cases, the level of satisfaction is of great concern. In this vein, a way of measuring the satisfaction level that takes both roles into account is needed. However, in past research indexes for consumer satisfaction and indexes for user information satisfaction have been developed separately in the fields of marketing and management information systems. Because of this lack of interaction between the two streams of research, an index for electronic commerce consumers that has its base in the dual roles has not been developed and tested. In this research, an instrument for measuring electronic commerce consumer satisfaction was proposed and validated using a sample of over 400 customers. The relationship between the index and consumers’ purchasing intention was also examined.

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Metadata

Authors
Cho, N., & Park, S.
Venue
Industrial Management & Data Systems
Publisher
Emerald
Published
2001-11-01
Volume
101
Issue
8
Pages
400-406
ISSN
0263-5577 (ISSN-L)
OpenAlex
W1972086421
Cited by
263
References
3
FWCI
13.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Development of electronic commerce user‐consumer satisfaction index (ECUSI) for Internet shopping. https://app.cochat.ai/papers/10.1108/eum0000000006170
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Cho, N., & Park, S. (2001). Development of electronic commerce user‐consumer satisfaction index (ECUSI) for Internet shopping. Industrial Management & Data Systems. https://doi.org/10.1108/eum0000000006170

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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.