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Quality Assessment Of Selected Bookselling Websites

Author

Listed:
  • Witold Chmielarz

    (University of Warsaw)

Abstract

The purpose of this article is to evaluate and select websites in Polish book sector with regard to quality measured by their usefulness for an individual client. First, the author has presented characteristics of the sector and basic methodological assumptions of the study. Next, he has conducted evaluations by means of a simple scoring method, a scoring method with preferences and relational research using T. Saaty’s AHP (Analytic Hierarchy Process) method. The findings have been analysed and the author has compared the results of the study.

Suggested Citation

  • Witold Chmielarz, 2010. "Quality Assessment Of Selected Bookselling Websites," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 1(1), pages 127-146, May.
    • Handle: RePEc:pcz:journl:v:1:y:2010:i:1:p:127-146
    as

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    File URL: http://www.pjms.zim.pcz.pl/PDF/PJMS1/QUALITYASSESSMENTOFSELECTEDBOOKSELLINGWEBSITES.pdf
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    File URL: http://pjms.zim.pcz.pl/quality-assessment-of-selected-bookselling-websites.php
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    References listed on IDEAS

    as
    1. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    Full references (including those not matched with items on IDEAS)

    Citations

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    as


    Cited by:

    1. Witold Chmielarz, 2014. "Analysis Of Selected Websites And Commercial Content Distribution Platforms In Poland," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 10(2), pages 23-32, December.

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    More about this item

    Keywords

    e-business; internet bookshops; quality assessment; scoring methods; relational methods;
    All these keywords.

    JEL classification:

    • L00 - Industrial Organization - - General - - - General
    • C00 - Mathematical and Quantitative Methods - - General - - - General

    Statistics

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