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An Examination of Website Quality Dimensions in Australian e-Retailing: A Confirmatory Factor Analysis Approach

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Intelligent Information Technology (CIT 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3356))

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Abstract

Numerous studies have endeavored to create and develop Website quality instruments in both the information systems and marketing domains. This study contributes to further theory development and refinement of measuring Website Quality by extending previous studies in the field. It adopts a confirmatory factor analysis approach to empirically assess three Australian based e-retailing Websites across three industry groups. The study presents a parsimonious model for each industry examined, that can be used for benchmarking purposes and for future scholarly research efforts. Managerial implications are highlighted with future research directions discussed.

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Author information

Authors and Affiliations

  1. Uni Technology Sydney, Broadway, 2007, NSW, Australia

    Sukunesan Sinnappan

  2. University of Newcastle, Callaghan, 2308, NSW, Australia

    Jamie Carlson

Authors
  1. Sukunesan Sinnappan
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  2. Jamie Carlson
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Editor information

Editors and Affiliations

  1. Department of Computer Sc and Engineering, University of Texas At Arlington, TX-76019, Arlington

    Gautam Das

  2. Tata Consultancy Services, Software Units Layout, Madhapur, 500081, Hyderabad, India

    Ved Prakash Gulati

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© 2004 Springer-Verlag Berlin Heidelberg

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Sinnappan, S., Carlson, J. (2004). An Examination of Website Quality Dimensions in Australian e-Retailing: A Confirmatory Factor Analysis Approach. In: Das, G., Gulati, V.P. (eds) Intelligent Information Technology. CIT 2004. Lecture Notes in Computer Science, vol 3356. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30561-3_42

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  • DOI: https://doi.org/10.1007/978-3-540-30561-3_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24126-3

  • Online ISBN: 978-3-540-30561-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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