EconPapers    
Economics at your fingertips  
 

The Comparative Study of the Relationship Between Smartphone Choice and Socio-Economic Indicators

Maral Jamalova () and Constantinovits Milán

International Journal of Marketing Studies, 2020, vol. 11, issue 3, 11

Abstract: The aim of the current study is to measure the influence of the socio-economic indicators on consumers’ purchase decision about smartphones based on the operating system. For this purpose, indicators as GDP per capita, Gross Savings, Inflation, ICT Development Index, Unemployment and Human Development Index were chosen. Excluding cultural, psychological and personal factors (which mainly should be analyzed on microeconomic level), therefore mentioned socio-economic variables are the same for all citizens of the country. These indicators create an overview of the general situation on the global level and in the developing/developed countries. Also, it makes a sense to identify the relationship between variables not only on the global level but also in the context of income level. So, research is essential to determine the above-mentioned trends in the smartphone market.

Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.ccsenet.org/journal/index.php/ijms/article/download/0/0/40103/41201 (application/pdf)
http://www.ccsenet.org/journal/index.php/ijms/article/view/0/40103 (text/html)

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:ibn:ijmsjn:v:11:y:2020:i:3:p:11

Access Statistics for this article

More articles in International Journal of Marketing Studies from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().

 
Page updated 2025-03-19
Handle: RePEc:ibn:ijmsjn:v:11:y:2020:i:3:p:11