A fuzzy logic apparel size decision methodology for online marketing

NASİBOĞLU E., DEMİR M., VAHAPLAR A.

INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY, cilt.31, sa.2, ss.299-315, 2019 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 31 Sayı: 2
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1108/ijcst-06-2018-0077
  • Dergi Adı: INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.299-315
  • Anahtar Kelimeler: Online marketing, Fuzzy modelling, Fitting, Apparel size, RESPONSES, BEHAVIOR
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Purpose - Beside the development of technology and accessibility, ease of use, ability to reach various products and compare many products at the same time make online shopping even more popular. Despite the great advantages provided by online shopping for either consumers or retailers, there are certain issues that must be solved to improve online shopping advantages. Finding right size is one of the biggest barriers against apparel online retailing. Since the use of apparels is directly related with fitting, choosing right size is becoming more critical for retailers and consumers. The purpose of this paper is to contribute to the solution of the problem.