Volume 3, Issue 5, October 2017, Page: 67-74
Predictors of E-government Services Adoption: A Case Study of Russian Students in China
Isaac Kofi Mensah, Department of Public Administration, School of Management, Harbin Institute of Technology, Harbin, China
Piankova Vera, Department of Public Administration, School of Management, Harbin Institute of Technology, Harbin, China
Mi Jianing, Department of Public Administration, School of Management, Harbin Institute of Technology, Harbin, China
Received: Apr. 14, 2017;       Accepted: Apr. 26, 2017;       Published: Oct. 31, 2017
DOI: 10.11648/j.ijmfs.20170305.12      View  2337      Downloads  86
Abstract
Electronic government is the use of Information and Communication Technologies in the public administration processes to provide better public services to citizens and the general public. The adoption of e-government services is vital for the success of e-government projects. The purpose of this study is to investigate factors influencing the Russian students in China willingness to adopt and use e-government services. Predictors such as perceived usefulness, perceived ease of use, perceived service quality, citizen trust and language barrier would be explored. The Technology Acceptance Model would be used as the theoretical framework for the study. The questionnaire instruments would be administered to 500 Russian students in the City of Harbin. The data gathered would be captured and analyzed with SPSS while a further analysis would be conducted using the Structural Equation Model (SEM). Based on the data analysis, appropriate recommendations would be offered to improve public service delivery through e-government not only to Chinese citizens but foreign nationals who reside in China as well.
Keywords
E-government, E-government Services, Adoption, Technology Acceptance Model (TAM), Russia, China
To cite this article
Isaac Kofi Mensah, Piankova Vera, Mi Jianing, Predictors of E-government Services Adoption: A Case Study of Russian Students in China, International Journal of Management and Fuzzy Systems. Vol. 3, No. 5, 2017, pp. 67-74. doi: 10.11648/j.ijmfs.20170305.12
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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