Akademik Veri Yönetim Sistemi
2 ND INTERNATIONAL SYMPOSIUM ON SUSTAINABLE LOGISTICS “CIRCULAR ECONOMY, Mersin, Türkiye, 23 - 24 Haziran 2022, ss.56
The flow of information has quickened as a result of widespread Internet use, and this has transformed
the way consumers shop. As a result, online shopping, which is currently a hot trend, is becoming
increasingly popular. E-commerce is the delivery of products and services, as well as advertising,
ordering, sales, and marketing operations, over telecommunication networks. Online shopping
removes geographical barriers and allows customers to obtain more information in less time and at a
lower cost. Factors such as consumer lifestyle change, work intensity, and time constraints have
accelerated online purchasing in Turkey, as they have everywhere in the world. Many virtual stores
have been opened on the Internet, each offering a different number and quality of alternatives and
services, allowing customers to choose from a global product range. Many products can now be
bought and sold from anywhere in the world thanks to e-commerce. Clothing is a popular product that
e-commerce markets and sells. Changes and advances in the field of technology and the Internet are
touching every element of our lives today, and they are spreading quickly. The Internet, like many
other aspects of life, has had an impact on people's purchasing habits, which account for a significant
portion of their lives. Individuals' demographic traits influence their perceptions of internet shopping
elements, their decisions to purchase ready-to-wear clothing over the internet, and their attitudes on
the internet shopping. The goal of this study is to look into gender differences in online purchasing for
clothing (including sportswear), shoes, and accessories (bags, jewelry, etc.) in Turkey using binary
logistic regression analysis. The study used a micro data set from the 2021 Information and
Communication Technology Usage Survey in Households conducted by Turkey Statistical Institute.
The research's sampling method is a 2-stage stratified cluster sampling. Age, occupation, family laptop
ownership, income, geography, and education status all have an impact on women's clothing shopping
via the website or mobile application, according to the study's findings. Age, occupation, income,
region, household computer ownership, and household laptop ownership, on the other hand, are all
useful factors when shopping for men's clothing online or through a mobile application.