|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 52 - Issue 1 |
| Published: August 2012 |
| Authors: Afshan Azam, Fu Qiang |
10.5120/8166-1406
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Afshan Azam, Fu Qiang . An Economic Model of the Consumers’ Online Shopping Utility and Factors Affecting on Online Shopping. International Journal of Computer Applications. 52, 1 (August 2012), 24-31. DOI=10.5120/8166-1406
@article{ 10.5120/8166-1406,
author = { Afshan Azam,Fu Qiang },
title = { An Economic Model of the Consumers’ Online Shopping Utility and Factors Affecting on Online Shopping },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 52 },
number = { 1 },
pages = { 24-31 },
doi = { 10.5120/8166-1406 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Afshan Azam
%A Fu Qiang
%T An Economic Model of the Consumers’ Online Shopping Utility and Factors Affecting on Online Shopping%T
%J International Journal of Computer Applications
%V 52
%N 1
%P 24-31
%R 10.5120/8166-1406
%I Foundation of Computer Science (FCS), NY, USA
This paper integrates extant literature on retailing and consumer choice to develop an economic model of consumer choice in which a consumer self-selects on-line shopping. Three important factors impacting consumer choice of on-line shopping: (1) the online shopping utility (2) the consumers' perceived product and service risks (Perceived Privacy Protection, Perceived Security Protection etc. ) and (3) consumer and e-vendors qualities (Consumer Disposition to trust, E-vendors' Positive Reputation etc. ) . Our model postulates that consumers derive utility from the online shopping experience and are affected by different factors (familiarity, disposition to trust, e-vendors' positive reputation, perceived privacy protection and perceived security protection). Consumers are also more likely to shop on-line from familiar websites and e-vendors than lesser known ones. However, they are less likely to shop on-line from e-vendors or website that does not have explicit privacy and security measures. Empirical verification of the model is carried out using a survey method approach and the results gave support to the postulations based on our theoretical model. Limitations and directions for future research are also discussed.