Integrated QFD, fuzzy linear regression and ZOGP: An application of e-store design

MakaleAçık ErişimScopus SJRQ3

Özet

In the current, highly competitive marketplace, customer demand is a major factor in the product design process. Most firms make an effort to indicate that their products differ from the competitors’ products. The purpose of this paper is to understand customers’ expectations of and technical requirements for e-stores and to evaluate most popular e-stores in Turkey (i.e., ES1, ES2, ES3). In this study, the authors aim to understand the customer expectations and technical requirements by using quality function deployment (QFD). To prepare the house of quality (HoQ), the authors surveyed 20 experts who are customers who have elite membership (their expenses for these e-stores are more than regular customers and have elite cards) of the three e-stores and academicians. After creating the HoQ, the authors employ fuzzy linear regression to evaluate the relationships between customer expectations and technical requirements and among technical requirements themselves. Finally, the authors use zero-one goal programming (ZOGP) to select the most desirable e-store.

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https://rdlopen.rawdatalibrary.net/r/bayburt/13342Resmi atıflarda kullanılan kalıcı adres
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https://doi.org/10.4018/ijban.2019100105Yayıncı resmi DOI adresi
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AlanDeğerDil
dc.contributor.authorCelik, Pelin
dc.contributor.authorUstasuleyman, Talha
dc.date.accessioned2026-10-29T19:10:49.128014962Z
dc.date.available2026-10-29T19:10:49.128014962Z
dc.date.issued2019
dc.description.abstractIn the current, highly competitive marketplace, customer demand is a major factor in the product design process. Most firms make an effort to indicate that their products differ from the competitors’ products. The purpose of this paper is to understand customers’ expectations of and technical requirements for e-stores and to evaluate most popular e-stores in Turkey (i.e., ES1, ES2, ES3). In this study, the authors aim to understand the customer expectations and technical requirements by using quality function deployment (QFD). To prepare the house of quality (HoQ), the authors surveyed 20 experts who are customers who have elite membership (their expenses for these e-stores are more than regular customers and have elite cards) of the three e-stores and academicians. After creating the HoQ, the authors employ fuzzy linear regression to evaluate the relationships between customer expectations and technical requirements and among technical requirements themselves. Finally, the authors use zero-one goal programming (ZOGP) to select the most desirable e-store.
dc.identifier.doi10.4018/ijban.2019100105
dc.identifier.eissn2334-4555
dc.identifier.endpage73
dc.identifier.issn2334-4547
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85072643494
dc.identifier.startpage61
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/13342
dc.identifier.volume6
dc.identifier.wosWOS:000511332500004
dc.language.isoen
dc.publisherIGI Global
dc.relation.ispartofInternational Journal of Business Analytics
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectE-Store Design
dc.subjectFuzzy Linear Regression
dc.subjectQuality Function Deployment
dc.subjectZero-One Goal Programming
dc.subject.classificationBusiness
dc.subject.classificationBusiness & Economics
dc.subject.otherQUALITY FUNCTION DEPLOYMENT
dc.subject.otherSELECTION
dc.subject.otherMODEL
dc.titleIntegrated QFD, fuzzy linear regression and ZOGP: An application of e-store design
dc.typeArticle
rdl.citation.openalex1
rdl.citation.scopus1
rdl.citation.wos1
rdl.oa.statusclosed
rdl.oa.statusgreen
rdl.oa.urlhttp://hdl.handle.net/20.500.12403/3401
rdl.scopus.quartileQ3
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexEmerging Sources Citation Index (ESCI)