Using a Hybrid Machine Learning and SEM Approach to Measure the Success of e-Government: A Case Study of the Kingdom of Bahrain
Author:
Affiliation:
1. University of Bahrain,Administrative and Technical Programs,Sakhir,Bahrain
2. University of Bahrain,Administration and Technical Programs,Sakhir,Bahrain
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10031269/10031273/10031894.pdf?arnumber=10031894
Reference78 articles.
1. Most e-Government-for-development projects fail: how can risks be reduced?;heeks,2003
2. The effect of information quality, system quality, service quality on intention to use and user satisfaction, and their effect on net benefits primary care application at primary health facilities in Malang
3. Factors Influencing User Satisfaction with Information Systems: A Systematic Review
4. A management framework for mobile government services;el-kiki;Proceedings of CollECTeR,2005
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