Challenges and Innovative Countermeasures Faced by Public Administration in the Context of Big Data and Internet of Things

Wenfang Jin and Wen-Tsao Pan

Mathematical Problems in Engineering, 2022, vol. 2022, 1-10

Abstract: With the advent of nonrelational databases, data science has gradually become the focus of attention in academia and engineering. The data generated by human social networking is also gradually increasing, and big data technology appears in this context. Its main purpose is to obtain key information from complex data sets and realize the role of comprehensive analysis. In recent years, the concept of the Internet of Everything has gradually entered all walks of life. Similar to the design of smart cities, smart communities, and smart buildings, IoT technology has also been adopted. The development of the market economy and the deepening of the reform of the economic system require that the government’s public services must also be transformed as soon as possible. The responsibilities undertaken by the government are becoming more and more complex and important. The traditional government public management methods cannot meet the needs of all levels of society. The development of big data and the Internet of Things provides new opportunities for the government to innovate management methods, which is also one of the cores of future government work. The government needs to gradually transform the government’s public management method based on big data and the Internet of Things platform, relying on information technology, so as to improve people’s satisfaction and happiness index. Based on the problems existing in traditional public management, this paper focuses on the analysis of local government management methods and takes Shenyang City as the case analysis object to innovate local government public management methods and at the same time provides some reference for other regions to innovate public management methods.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:8949365

DOI: 10.1155/2022/8949365

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