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Efficiency and optimization of government service resource allocation in a cloud computing environment.
Ya-Guang Guo1,2, Qian Yin3, Yixiong Wang4
1School of Management, Hefei University of Technology, 230009 Hefei, Anhui, China.
Journal of Cloud Computing (Heidelberg, Germany)
|February 15, 2023
Summary
Government service resource allocation efficiency in L city is low but improving. Optimizing resource inputs and adopting cloud computing can enhance efficiency for better public services.
Area of Science:
- Public Administration
- Information Systems
Background:
- Government service resource allocation is crucial for urban development.
- Understanding efficiency trends informs policy and innovation.
Purpose of the Study:
- To analyze government service resource allocation efficiency in L city from 2019-2021.
- To identify patterns and evolutionary trends in regional efficiency.
- To explore the impact of cloud computing on resource allocation.
Main Methods:
- Data Envelopment Analysis (DEA) was applied to government service resource data.
- Included government cloud platform and cloud computing resources in the analysis.
- Analyzed data from L city across counties and regions over three years.
Main Results:
- Overall efficiency is low but shows an increasing annual trend with fluctuations.
- Significant regional differences in allocation efficiency exist, influenced by economic factors.
- Increased input does not always correlate with increased efficiency; some areas have input/output imbalances.
Conclusions:
- Optimization of physical, human, and financial resources is needed.
- Adopting government cloud platforms and cloud computing is key to maximizing efficiency.
- Intelligent online processing of government services is an objective for efficiency gains.
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