Author
Listed:
- Ansar Waseem
(Department of Marketing, School of Business and Economics University of Management and Technology, Lahore, Pakistan)
- Yasir Rashid
(Department of Marketing, School of Business and Economics, University of Management and Technology, Lahore, Pakistan)
- Muhammad Akib Warraich
(Department of Marketing, Rennes School of Business, 2 Rue Robert d’Arbissel, 35065 Rennes, France)
- Imran Sadiq
(Department of Marketing, School of Business and Economics, University of Management and Technology, Lahore, Pakistan)
- Zeeshan Shaukat
(Department of Marketing, School of Business and Economics, University of Management and Technology, Lahore, Pakistan)
Abstract
The advancement of Information Technology and Telecommunication has opened new avenues for business. These astonishing developments have led to rapid diffusion of e-commerce which is gaining popularity around the globe and it is contributing to the economic growth of country. This study aims to develop an integrative model based on different factors which can affect the growth of ecommerce in any country. For this purpose, data of 145 countries for year 2014 was obtained from different sources. Nine different Multiple Regression Models were proposed by combination of different factors in order to analysis their relative effect on growth of e-commerce. Result of the study show that the sensitivity of the ecommerce potential was highest for GNI per Capita and Readiness Sub-Index respectively. Similarly, other factors such as education level, urbanization and social media user were also found significantly associated with e-commerce potential. However, Cyber Security and Business Prospects were found to be statistically insignificant in few of the models. The paper concludes with few suggestions for government and policy makers to increase e-commerce growth in the country.
Suggested Citation
Ansar Waseem & Yasir Rashid & Muhammad Akib Warraich & Imran Sadiq & Zeeshan Shaukat, 2019.
"Factors Affecting E-Commerce Potential Of Any Country Using Multiple Regression Analysis,"
Journal of Internet Banking and Commerce, Nahum Goldmann, vol. 24(02), pages 01-28.
Handle:
RePEc:ris:joibac:0040
Download full text from publisher
More about this item
Keywords
;
;
;
;
;
JEL classification:
- A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:joibac:0040. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dale Pinto (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.