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A MCDM Tool to Evaluate Government Websites in a Fuzzy Environment

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Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 634))

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Abstract

This paper presents a multi criteria decision making (MCDM) framework for evaluating the performance of government websites. In line with the multi-dimensional characteristics of website quality, MCDM provides an effective framework for an inter-website comparison involving the evaluation of multiple attributes. It thus ranks different websites compared in terms of their overall performance. In addition, the subjectivity and vagueness in the assessment process is dealt with fuzzy logic. The proposed framework is effectively illustrated to evaluate Turkish government websites.

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Acknowledgements

This work has been financially supported by Galatasaray University Research Fund. The author would like to express deep gratitude to the industrial experts for their unlimited support in evaluation of the framework.

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Authors and Affiliations

  1. Department of Industrial Engineering, Galatasaray University, Çırag̃an Caddesi No: 36, Ortaköy, İstanbul, Turkey

    Gülçin Büyüközkan

Authors
  1. Gülçin Büyüközkan
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Correspondence to Gülçin Büyüközkan .

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Editors and Affiliations

  1. Dept. Engineering Science, University of Auckland, Auckland, New Zealand

    Matthias Ehrgott

  2. Login GmbH, Wilhelmstraße 45, Schwelm, 58332, Germany

    Boris Naujoks

  3. Dept. Statistical Sciences, University of Cape Town, Rondebosch, 7701, South Africa

    Theodor J. Stewart

  4. and Business Administration, Helsinki School of Economics, Runeberginkatu 14-16, Helsinki, 00100, Finland

    Jyrki Wallenius

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Büyüközkan, G. (2010). A MCDM Tool to Evaluate Government Websites in a Fuzzy Environment. In: Ehrgott, M., Naujoks, B., Stewart, T., Wallenius, J. (eds) Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems. Lecture Notes in Economics and Mathematical Systems, vol 634. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04045-0_17

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