E-Government Website Evaluation With Hybrid Mcdm Method in Fuzzy Environment

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Date

2012

Authors

Kazancoglu Y.

Journal Title

Journal ISSN

Volume Title

Publisher

Inderscience Publishers

Open Access Color

Green Open Access

No

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Publicly Funded

No
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Average
Influence
Top 10%
Popularity
Top 10%

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Abstract

E-government websites play an important role in the knowledge society not only by accelerating bureaucratic procedures but also enhancing citizen commitment to democracy. The acceptance of democracy (in its fullest sense) means considering the citizen as customer, making citizen satisfaction the ultimate target. Therefore, in addition to web design characteristics, e-service and e-democracy are taken into account in e-government website evaluation. Fuzzy logic is employed due to the properties of the evaluation process. Experts evaluated the criteria weights using fuzzy AHP, and the e-government websites from a group of selected EU countries using fuzzy VIKOR as a multi-criteria decision making (MCDM) technique, and a ranking was obtained. The unique properties of the paper can be listed as the formation of criteria using two kinds of fuzzy numbers, combining two MCDM methods, and applying this methodology to the problem of website evaluation for the first time. Copyright © 2012 Inderscience Enterprises Ltd.

Description

Keywords

AHP, Analytic hierarchy process, E-government, Fuzzy AHP, Fuzzy VIKOR, MCDM, Multi-criteria decision making, VIKOR, Website evaluation, Analytic hierarchy process, Customer satisfaction, Decision making, Fuzzy logic, Fuzzy sets, Hierarchical systems, Websites, Fuzzy AHP, Fuzzy VIKOR, MCDM, Multi criteria decision making, VIKOR, Website evaluation, e-government

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

N/A

Scopus Q

Q3
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OpenCitations Citation Count
15

Source

International Journal of Applied Decision Sciences

Volume

5

Issue

2

Start Page

163

End Page

181
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Citations

CrossRef : 2

Scopus : 29

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Mendeley Readers : 47

SCOPUS™ Citations

29

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2.5688

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16

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