Innovative Approaches to User Expectation Classification in E-commerce Mobile Apps Using Fuzzy Kano Model Approach

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dc.authoridCEBI, SELCUK/0000-0001-9318-1135
dc.contributor.authorKarakurt, Necip
dc.contributor.authorCorlu, Selcuk
dc.date.accessioned2025-04-06T12:23:56Z
dc.date.available2025-04-06T12:23:56Z
dc.date.issued2024
dc.departmentTekirdağ Namık Kemal Üniversitesi
dc.descriptionInternational Conference on Intelligent and Fuzzy Systems (INFUS) -- JUL 16-18, 2024 -- Istanbul Tech Univ, Canakkale, TURKEY
dc.description.abstractThis study aims to determine the design features that affect mobile application design and to classify these features according to customer perception. The methodology involved an exhaustive examination of Turkish mobile applications, consultations with an expert academic, scrutiny of forum pages, and an extensive literature review. Subsequently, the categorization of these features based on customer satisfaction was pursued through a survey conducted with 525 participants. The suggested fuzzy methods play a crucial role in mitigating information loss associated with crispness, presenting a promising avenue to enhance the accuracy of user expectation classification in e-commerce mobile applications. The findings of this study are expected to provide insights into how mobile application features differ across various demographic group. The Attractive features identified include One-Step Registration, Augmented Reality, Wishlist, Personalized Customer Experience, Fast Payment, Offline Features, Sale Progress Bar, Easy Browsing, Share Button, Loyalty Program, Product Comparison, Shipping Flexibility, and Barcode Scanning.
dc.description.sponsorshipCanakkale Onsekiz Mart Univ
dc.description.sponsorshipScientific and Technological Research Council of Turkiye (TUB.ITAK) [222M229]; TUBITAK
dc.description.sponsorshipThis project is supported by The Scientific and Technological Research Council of Turkiye (TUB.ITAK) with project number 222M229. We thank TUBITAK for financial support to this project.
dc.identifier.doi10.1007/978-3-031-67195-1_24
dc.identifier.endpage194
dc.identifier.isbn978-3-031-67194-4
dc.identifier.isbn978-3-031-67195-1
dc.identifier.issn2367-3370
dc.identifier.issn2367-3389
dc.identifier.scopus2-s2.0-85207021071
dc.identifier.scopusqualityQ4
dc.identifier.startpage185
dc.identifier.urihttps://doi.org/10.1007/978-3-031-67195-1_24
dc.identifier.urihttps://hdl.handle.net/20.500.11776/17272
dc.identifier.volume1089
dc.identifier.wosWOS:001329232000024
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer International Publishing Ag
dc.relation.ispartofIntelligent and Fuzzy Systems, Vol 2, Infus 2024
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250406
dc.subjectUser experience
dc.subjectMobile Apps
dc.subjectFuzzy Kano Model
dc.titleInnovative Approaches to User Expectation Classification in E-commerce Mobile Apps Using Fuzzy Kano Model Approach
dc.typeConference Object

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