Human Factors and E-Government Service Capability: A Path Analysis

被引:2
作者
Pan, Wenwen [1 ,2 ]
Hu, Guangwei [2 ]
Ma, Yixin [3 ]
机构
[1] Nanjing Univ Posts & Telecommun, Sch Management, Nanjing, Jiangsu, Peoples R China
[2] Nanjing Univ, Sch Informat Management, Nanjing, Jiangsu, Peoples R China
[3] Human Resource & Social Secur Bur Wuxi, Wuxi, Peoples R China
关键词
E-Government Service; Faculty Cognition; Human Factor; Leader Desire; Service Capability Management; Team Cognition;
D O I
10.4018/JECO.2016040104
中图分类号
F [经济];
学科分类号
02 ;
摘要
The capability of e-government service (EGS) is affected by different organizational factors, including internal and external. Human factor is the most critical internal factor. However, few studies providing minimal anecdotal evidence have examined the relationships between human factors and EGSC. To fill the gap, this paper attempts to conceive and develop confirmatory factor analysis (CFA) models, along with structural equation modeling (SEM), from the perspective of the role, desire, skill, and learning ability of leader, team, and faculty in the process of building and applying e-Gov to investigate the relationships between them. These models explored the mechanism of how human factors affect EGSC and its components. And several valuable findings are concluded based on the empirical data analysis. It is believed that the abovementioned facets are significant for the Chinese local government sectors in designing an effective EGS delivery mechanism and improving their EGSC.
引用
收藏
页码:46 / 60
页数:15
相关论文
共 28 条
[1]   Applying participatory design and collaboration in digital public services for discovering and re-designing e-Government services [J].
Anthopoulos, Leo G. ;
Siozos, Panagiotis ;
Tsoukalas, Ioannis A. .
GOVERNMENT INFORMATION QUARTERLY, 2007, 24 (02) :353-376
[2]   Advancing E-Government performance in the United States through enhanced usability benchmarks [J].
Baker, David L. .
GOVERNMENT INFORMATION QUARTERLY, 2009, 26 (01) :82-88
[3]   What users want: Assessing government information preferences to drive information services [J].
Burroughs, Jennie M. .
GOVERNMENT INFORMATION QUARTERLY, 2009, 26 (01) :203-218
[4]   Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud [J].
Demirkan, Haluk ;
Delen, Dursun .
DECISION SUPPORT SYSTEMS, 2013, 55 (01) :412-421
[5]   E-government success factors:: Mapping practical tools to theoretical foundations [J].
Gil-García, JR ;
Pardo, TA .
GOVERNMENT INFORMATION QUARTERLY, 2005, 22 (02) :187-216
[6]  
Heskett JL, 2008, HARVARD BUS REV, V86, P118
[7]  
Hu G, 2011, P 2011 INT C BUS COM, P188, DOI [10.1109/BCGIn.2011.55, DOI 10.1109/BCGIN.2011.55]
[8]   Study on the Framework of e-Government Services Capability: An Empirical Investigation [J].
Hu, Guangwei ;
Pan, Wenwen ;
Lin, Hui ;
Kang, Kyeong ;
Best, Michael L. .
SOCIAL SCIENCE COMPUTER REVIEW, 2014, 32 (01) :56-73
[9]   Conceptualizing and Examining E-Government Service Capability: A Review and Empirical Study [J].
Hu, Guangwei ;
Lin, Hui ;
Pan, Wenwen .
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2013, 64 (11) :2379-2395
[10]   A hierarchical model of e-government service capability: An empirical analysis [J].
Hu, Guangwei ;
Shi, Jin ;
Pan, Wenwen ;
Wang, Jie .
GOVERNMENT INFORMATION QUARTERLY, 2012, 29 (04) :564-572