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Cited by 854

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Reexamining a Model for Evaluating Information Center Success Using a Structural Equation Modeling Approach

Chau, Patrick Y.K.·1997·Decision Sciences
DOI 10.1111/j.1540-5915.1997.tb01313.x
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Abstract

Structural equation modeling is a technique that has been widely used for instrument validation and model testing in research in marketing and organizational behavior. The technique has also been introduced to MIS researchers and used in several studies recently reported in the literature. This article offers an example of how the technique can be used for instrument validation and model testing. The illustration is made through a reexamination of a model for evaluating information center (IC) success. With the growth of end‐user computing, the success of an IC is more important than ever. Obtaining a valid model for measuring IC success is thus crucial to organizations with ICs. The results of this study highlight the importance of a strong theoretical base in developing such a valid model, and management should be cautious when using these models to assess the performance of their ICs.

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Metadata

Authors
Chau, P. Y. K.
Venue
Decision Sciences
Publisher
Wiley
Published
1997-04
Volume
28
Issue
2
Pages
309-334
ISSN
  • 0011-7315 (ISSN-L)
  • 1540-5915
DOI
10.1111/j.1540-5915.1997.tb01313.x
OpenAlex
W2010983589
Cited by
854
References
6
FWCI
19.54
Type
journal article
Language
en
Open access
closed

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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.