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- W2919436220 abstract "This paper deals with modeling e-service quality. It combines Marketing methods (qualitative and quantitative methods) and Computational Theory of Perceptions (Fuzzy Logic). We apply interpretable fuzzy modeling to human perceptions collected through fuzzy rating scale-based questionnaires. The proposal is validated with a case study regarding Business-to-Consumers websites in the textile and fashion sector. The outcome is a fuzzy model easy to understand by humans no matter their proficiency regarding neither Fuzzy Logic nor Marketing. This model is embedded in the core of a virtual assessor which predicts consumers’ desires, expectations and needs; thus saving cost in future market studies." @default.
- W2919436220 created "2019-03-11" @default.
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- W2919436220 date "2019-01-01" @default.
- W2919436220 modified "2023-09-27" @default.
- W2919436220 title "Modeling Human Perceptions in e-Commerce Applications: A Case Study on Business-to-Consumers Websites in the Textile and Fashion Sector" @default.
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- W2919436220 doi "https://doi.org/10.1007/978-3-030-03368-2_6" @default.
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