Evaluation of websites’ compliance to legal and ethical guidelines: A fuzzy logic–based methodology
Autor: | Dimitris Kardaras, Xenia J. Mamakou, Eleutherios A. Papathanassiou |
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Rok vydání: | 2017 |
Předmět: |
Fuzzy delphi method
Knowledge management Ethical issues business.industry Computer science 05 social sciences ComputingMilieux_LEGALASPECTSOFCOMPUTING 02 engineering and technology Library and Information Sciences Fuzzy logic Compliance (psychology) 0502 economics and business Web design Evaluation methods 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business 050203 business & management Information Systems |
Zdroj: | Journal of Information Science. 44:425-442 |
ISSN: | 1741-6485 0165-5515 |
DOI: | 10.1177/0165551517697610 |
Popis: | Privacy issues are a top priority in web design. However, websites’ evaluation methods do not consider legal and ethical issues. This article proposes a fuzzy logic–based methodology for evaluating websites’ compliance with legal and ethical principles. Using fuzzy Delphi and fuzzy numbers, the methodology develops the Fuzzy Legal and Ethical Compliance Index (FLECI) that addresses the inherited vagueness of the evaluation process and calculates websites’ conformity to legal and ethical guidelines. To illustrate the proposed methodology, this research collects data and then evaluates and classifies 100 websites with respect to their privacy policies using fuzzy equivalence. This article provides a foundation for the development of comprehensive website evaluation methods that include privacy and ethical issues in their evaluations. Future research can investigate the applicability of the proposed methodology and the fuzzy numbers calculated in this article in websites across industries and cultural activities. |
Databáze: | OpenAIRE |
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