The appraisal of e-Government project success is significant to the healthy development of e-Government. However, up till now, the appraisal framework of e-Government has been developed and studied for just a few years and is still in a nascent stage. Most of the appraisal models put forward by authoritative organizations are more suitable for the appraisal of the overall development of e-Government, and they are not directly targeted on the problems that exist in e-Government projects. Therefore, this paper tries to establish an appraisal framework of e-Government project success. In the first part, six representative appraisal frameworks of e-Government both at home and abroad are introduced and analyzed, and their deficiencies are pointed out. To make the appraisal more systematic and more suitable for the appraisal of e-Government project success, the second part of this paper analyzes the appraisal frameworks of the enterprise information system, which are more mature, and by drawing on their merits, this paper puts forward an appraisal reference framework of eGovernment project success of China in light of the characteristics of the e-Government in China.
Contamination assessment and source analysis of urban waterways are important for the environmental management of water resources. This study applied an improved water quality index (WQI), which was called WQI-DET (water quality index deterioration) to analyze the Fenjiang River’s (Foshan City, South China) water quality monitoring data from 2016 to 2021. Between 2016 and 2021, the Fenjiang River had the highest WQI-DET value in 2016. Since then, the water quality has shown a decreasing trend year by year. Then, through Spearman analysis, it was identified that the chemical oxygen demand (COD) and ammonia nitrogen (NH3-N) are the main factors of water quality deterioration. Moreover a Bayesian model was used to analyze and evaluate the main factors. On this basis, relationships between COD, NH3-N, the natural environment, and human activities were analyzed by principal component analysis. The results showed that NH3-N has been the main factor affecting the water quality in recent years and there were no significant changes in COD and NH3-N during the study period. However, COD and NH3-N showed significant differences in spatial distribution. Meanwhile, human activities contributed 52.3% to the variability in the water quality of the Fenjiang River, and natural factors only 26.8%; factors not considered in this study contributed the remaining 20.9%. Human activities had a more significant impact on the water quality of the Fenjiang River than natural factors.
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