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International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
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  Call for Papers - June 2020     |     Now IJIAS is indexed in EBSCO, ResearchGate, ProQuest, Chemical Abstracts Service, Index Copernicus, IET Inspec Direct, Ulrichs Web, Google Scholar, CAS Abstracts, J-Gate, UDL Library, CiteSeerX, WorldCat, Scirus, Research Bible and getCited, etc.  
 
 
 

Factors determining intention to adopt m-commerce in a group of College students in China


Volume 28, Issue 1, December 2019, Pages 1–9

 Factors determining intention to adopt m-commerce in a group of College students in China

Enrique B. Cedeno1

1 School of Management, New York Institute of Technology, Nanjing, China

Original language: English

Received 3 March 2019

Copyright © 2019 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


Mobile commerce is especially attractive to Chinese college students since it offers the possibility of purchasing goods and services from anywhere at any time. Electronic commerce has produced increasing revenues since 1990. M-commerce represents a newer source of revenue with great potential as part of e-commerce. This research proposes to determine significant factors influencing the intention to adopt a new m-commerce application by a group of college students in Nanjing, China, using a formative Structural Equation Model. The model uses a set of 11 indicators to build the final construct. Results from this study identified the following factors as significantly influencing the intention to adopt a new m-commerce application by a group of college students in China: Perceived security, Perceived Ease of Use, Perceived Enjoyment and Perceived Compatibility. These results have some partial similarity with previous research. However, Perceived Compatibility appears as the single factor not common with previous results indicating an increased interest from Chinese college students to have an m-commerce application that is compatible with all their mobile devices. Significant factors identified in the present research according to the value of the coefficient of determination R2 have substantial explanatory power. Explanatory power of the model presented in this research improves those from previous studies. However, further studies are needed with larger sample sizes to corroborate the results presented in this research.

Author Keywords: Mobile commerce, formative model, technology acceptance model, intention to adopt, structural equation model.


How to Cite this Article


Enrique B. Cedeno, “Factors determining intention to adopt m-commerce in a group of College students in China,” International Journal of Innovation and Applied Studies, vol. 28, no. 1, pp. 1–9, December 2019.