Web-Based Information Systems Satisfaction: Theoretical Development and Testing of Competing Models

Christy M K CHEUNG, Matthew K.O. Lee

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Abstract

    User satisfaction has been widely used in evaluating the performance of web-based information systems (WIS) since the growth of the World Wide Web. This study aims at investigating the structure and diniensionality of the WIS satisfaction construct. We tested the competing models built upon the web satisfaction model and assessed the psychometric properties of the factors and measuring items using confirmatory factor analysis. Our findings suggested that WIS satisfaction can be explained by a higher-order factor model with six first-order factors (i.e., understandability, reliability, usefulness, access, usability, and navigation) and two correlated second-order factors (i.e., web information satisfaction and web system satisfaction). The model provides a good-fit to the data and is theoretically valid, reflecting the logical or formal consistency. Implications of the current investigation for practice and research are provided.

    Original languageEnglish
    Title of host publicationProceedings of the Third International Conference on Web Information Systems and Technologies
    Pages46-53
    Number of pages8
    DOIs
    Publication statusPublished - Mar 2007
    Event3rd International Conference on Web Information Systems and Technologies, Webist 2007 - Barcelona, Spain
    Duration: 3 Mar 20076 Mar 2007
    https://link.springer.com/book/10.1007/978-3-540-68262-2

    Conference

    Conference3rd International Conference on Web Information Systems and Technologies, Webist 2007
    Country/TerritorySpain
    CityBarcelona
    Period3/03/076/03/07
    Internet address

    Scopus Subject Areas

    • Computer Networks and Communications
    • Hardware and Architecture
    • Information Systems
    • Electrical and Electronic Engineering

    User-Defined Keywords

    • Information Quality
    • System Quality
    • User Satisfaction
    • Web-base Information System

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