Modeling of the Factors Affecting e-Commerce Use in Turkey by Categorical Data Analysis

Abstract: e-Commerce use is a subject of study that has been frequently discussed in recent years. The aim of this study was to detect the socio-demographic and economic factors affecting e-commerce use of individuals in Turkey. The micro dataset obtained from Information and Communication Technology (ICT) Usage Survey in Households performed by the Turkish Statistical Institute in 2014-2018 was employed in this study. Multinomial logistic and multinomial probit regression analyses were performed to detect the factors affecting e-commerce use of individuals in Turkey. The data of 129,643 individuals, who participated in ICT Usage Survey in Households in 2014-2018, were employed in the regression analyses. According to the analysis results, the variables of survey year, age, gender, educational level, occupation, income level, region and household size were detected to be effective on online shopping. The results of the study indicated that e-commerce use was gradually increasing. It was determined that more educated and young individuals and individuals living in relatively more developed regions were more inclined to online shopping. Policies should also be developed to increase e-commerce use of low educated individuals and individuals over middle age. In particular, small and medium-sized businesses (SMB) should pay more attention to the use of e-commerce in order to increase their activities by taking these situations into consideration. Indeed, how important e-commerce use is has been found out in epidemics/pandemics such as COVID-19, which causes people to lock themselves at home in the countries.

Ömer Alkan, Hasan Küçükoglu and Gökhan Tutar. “Modeling of the Factors Affecting e-Commerce Use in Turkey by Categorical Data Analysis”. International Journal of Advanced Computer Science and Applications (IJACSA) 12.1 (2021). http://dx.doi.org/10.14569/IJACSA.2021.0120113

@article{Alkan2021,
title = {Modeling of the Factors Affecting e-Commerce Use in Turkey by Categorical Data Analysis},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120113},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120113},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {1},
author = {Ömer Alkan and Hasan Küçükoglu and Gökhan Tutar}
}