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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.7, Issue:13)
Article Information:

Revised and Extended Mobile Commerce Technology Adaption Model

Mohammad Othman Nassar, Feras Fares Al Mashagba, Mohammad Ali Habahbeh and Eman Fares Al Mashagba
Corresponding Author:  Mohammad Othman Nassar 
Submitted: June 17, 2013
Accepted: July 12, 2013
Published: April 05, 2014
Abstract:
This research is designed to cover literature gaps in the intention to adopt mobile commerce in Jordan as development country. In one hand we explored and identified the non-technological factors that affect the intention to adopt mobile commerce. In the other hand we introduced a revised and extended mobile commerce technology adaption model based on the available literature and based on the Technology Acceptance Model (TAM). Our result shows that our proposed model is valid. Our model validity was confirmed using Loading Factor and Kaiser-Mayer-Olkin (KMO). The result of this research shows that Perceived Usefulness (PU), Perceived Ease of Use (PEOU), privacy, compatibility, government policy, legal protection, risk, cost and social-culture values factors have a direct significant effect in the intention to adopt mobile commerce. This research also finds that those factors are different in their effect in the mobile commerce adoption decision where legal protection factor has the highest impact in mobile commerce adoption decision while perceived usefulness factor has the lowest impact in making such decision. The result also shows that there is a positive relationship between all study factors and the intention to adapt mobile commerce except for risk and cost factors.

Key words:  Jordan, M-commerce, non-technological factors, technology adaption model, , ,
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Cite this Reference:
Mohammad Othman Nassar, Feras Fares Al Mashagba, Mohammad Ali Habahbeh and Eman Fares Al Mashagba, . Revised and Extended Mobile Commerce Technology Adaption Model. Research Journal of Applied Sciences, Engineering and Technology, (13): 2639-2645.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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