Analysis of the factors affecting credit card use and online shopping attitudes of households in Turkey with the bivariate probit model

Kübranur Çebi Karaaslan

International Journal of Electronic Finance, 2022, vol. 11, issue 3, 189-201

Abstract: This study investigated the factors that affect households' credit card usage and online shopping attitudes. The dataset of the study was provided by the Turkey Statistical Institute. The bivariate probit regression model was used in the work. As a result, it was determined that demographic, economic and environmental factors have significant effects on credit card use and online shopping attitudes. Knowing the characteristics of credit card and internet shopping users in light of the results, helps banks and shopping sites to determine advertising strategies. It will enable policy makers to raise awareness and protect the consumer and to implement them to stimulate the economy.

Keywords: e-commerce; credit card use; consumer behaviour; shopping experience; bivariate probit model; survey data; household budget survey; Turkey. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=124478 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijelfi:v:11:y:2022:i:3:p:189-201

Access Statistics for this article

More articles in International Journal of Electronic Finance from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().