Please wait a minute...
Frontiers of Engineering Management

ISSN 2095-7513

ISSN 2096-0255(Online)

CN 10-1205/N

Postal Subscription Code 80-905

Front. Eng    2023, Vol. 10 Issue (2) : 319-338    https://doi.org/10.1007/s42524-022-0200-x
RESEARCH ARTICLE
Digital technology-driven smart society governance mechanism and practice exploration
Xiaohong CHEN1, Xiangbo TANG2(), Xuanhua XU1
1. Hunan University of Technology and Business, Changsha 410205, China; School of Business, Central South University, Changsha 410083, China
2. Hunan University of Technology and Business, Changsha 410205, China
 Download: PDF(9899 KB)   HTML
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract

A smart society is an advanced form of society following agricultural society, industrial society, and information society, with digital data processing system as its main carrier. However, the governance of a smart society still faces many challenges. In view of this problem, first, this research constructs a smart society governance modernization strategy. Second, the innovation mode of a society governance mechanism driven by digital technology is proposed, including the precise intellectual control of a digital twin, the intelligent ubiquitous sensing of the Internet of Things, the empowerment remodeling of a blockchain and the livelihood service of artificial intelligence. Third, this study systematically explores the practice of smart society governance modernization from the aspects of basic information platform construction, evaluation system construction, application demonstration of epidemic prevention and control driven by big data, support of spatial intelligence and artificial intelligence technology for people’s livelihood, smart campus, public resources, and data governance application demonstration to provide theoretical guidance for promoting digital technology innovation in the process of the governance of a smart society.

Keywords digital technology      new infrastructure      smart society      governance system      governance modernization     
Corresponding Author(s): Xiangbo TANG   
Just Accepted Date: 09 August 2022   Online First Date: 08 September 2022    Issue Date: 29 May 2023
 Cite this article:   
Xiaohong CHEN,Xiangbo TANG,Xuanhua XU. Digital technology-driven smart society governance mechanism and practice exploration[J]. Front. Eng, 2023, 10(2): 319-338.
 URL:  
https://academic.hep.com.cn/fem/EN/10.1007/s42524-022-0200-x
https://academic.hep.com.cn/fem/EN/Y2023/V10/I2/319
Fig.1  Society governance mechanism driven by digital technology.
Fig.2  Structure diagram of smart society platform construction.
First level indicators Second level indicators First level indicators Second level indicators
Overall planning capability Smart city coordination mechanism Monitoring and early warning capability Financial security monitoring and early warning capabilities
Smart city management mechanism Natural disaster monitoring and early warning capabilities
Smart city infrastructure investment and construction capabilities Production and economic safety monitoring and early warning capabilities
Coordination and linkage capability Government service coordination and linkage ability Urban ecological safety monitoring and early warning capabilities
Ecological environment coordination and linkage ability Urban traffic monitoring and early warning capabilities
Coordinated development capabilities of industrial clusters Network public opinion monitoring and early warning capabilities
Decision-making and command capability Decision data service level Public safety monitoring and early warning capabilities
Big data intelligent analysis model level Resource sharing capability Public information platform construction level
Decision support system construction level Resource sharing database construction level
Implementation and execution capability Consistency between urban development and planning level The level of social opening and utilization of public information resources
Policy service level Sharing rate among information resource departments
Public participation level Emergency response capability Perfection of emergency response mechanism
Security prevention and control capability Coverage rate of safety prevention and control facilities Emergency facilities coverage
Construction level of safety prevention and control platform Professional level of emergency team
Degree of synergy of safety prevention and control systems Emergency handling speed
Data security prevention and control capabilities Construction level of emergency platform for major emergencies
Tab.1  Smart society governance technology and capability modernization evaluation index system
Fig.3  Comprehensive score of 11 cities for smart society governance technology and capability modernization (Data source: Indicator statistics of relevant departments in each city in 2019).
Fig.4  Scores in all dimensions of the modernization of technologies and capabilities for smart society governance in 11 cities.
Fig.5  Refined zoning material supply service plan.
Fig.6  Smart campus behavior big data intelligent decision analysis system.
Fig.7  Blockchain technology system framework.
Fig.8  HOPE data sharing security platform based on blockchain technology (notes: DSL: Domain specific language; CA: Certificate authority; SGX: Software guard extensions).
Fig.9  Blockchain information browser technical framework (notes: EOS: Enterprise operation system; JSON RPC: JavaScript object notation remote procedure call).
1 J Bertot, E Estevez, T Janowski, ( 2016). Universal and contextualized public services: Digital public service innovation framework. Government Information Quarterly, 33( 2): 211– 222
https://doi.org/10.1016/j.giq.2016.05.004
2 C Chen, ( 2019a). Alliance blockchain key technologies and blockchain regulatory challenges. Electric Power Equipment Management, 11: 20– 21, 28
3 X H Chen, ( 2018). Trend analysis of technology fusion and application innovation in the digital economy era. Journal of Central South University (Social Sciences), 24( 5): 1– 8
4 X H Chen, ( 2019b). The development trend and practical innovation of smart city under the integration of new technologies. Frontiers of Engineering Management, 6( 4): 485– 502
https://doi.org/10.1007/s42524-019-0057-9
5 X H Chen X B Tang D Y Li Y J Wang D B (2020) Hu. Practical system of two-oriented engineering management in the new era. Journal of Management World, 36(5): 189– 203, 18 (in Chinese)
6 J C Chi, Y Li, J Huang, J Liu, Y W Jin, C Chen, T Qiu, ( 2020). A secure and efficient data sharing scheme based on blockchain in industrial Internet of Things. Journal of Network and Computer Applications, 167( 10): 102710
https://doi.org/10.1016/j.jnca.2020.102710
7 D Curran, A Smart, ( 2021). Data-driven governance, smart urbanism and risk-class inequalities: Security and social credit in China. Urban Studies, 58( 3): 487– 506
https://doi.org/10.1177/0042098020927855
8 X Z Dai J D (2016) Ma. Social governance innovation of big data era: Concept, relations and path. Forum on Science and Technology in China, (10): 39– 44, 52 (in Chinese)
9 B T Ding, ( 2019). From information society to intelligent society: Theoretical interpretation of the connotation of intelligent society. E-Government, ( 7): 120– 128
10 L Fang, ( 2020). The application of cloud computing and Internet of Things technology in smart city. Telecom World, 27( 1): 23– 24
11 R Foresti, S Rossi, M Magnani, C G Lo Bianco, N Delmonte, ( 2020). Smart society and artificial intelligence: Big Data scheduling and the global standard method applied to smart maintenance. Engineering, 6( 7): 835– 846
https://doi.org/10.1016/j.eng.2019.11.014
12 L J Hu, T Liu, ( 2018). Social governance from the perspective of big data: Opportunities, challenges and innovation. Huxiang Forum, 31( 4): 63– 70
13 H X Jiang, S Geertman, P Witte, ( 2019). Smart urban governance: An urgent symbiosis?. Information Polity, 24( 3): 245– 269
https://doi.org/10.3233/IP-190130
14 H Li X Cao X Jin L H Lee E P (2021) Chew. Three carriages driving the development of intelligent digital twins: Simulation plus optimization and learning. In: Winter Simulation Conference (WSC). Phoenix, AZ: IEEE, 1– 12
15 H Li X Cao P Sharma L H Lee E P (2020) Chew. Framework of O2DES.NET digital twins for next generation ports and warehouse solutions . In: Winter Simulation Conference (WSC). Orlando, FL: IEEE, 3188– 3199
16 L B Li B L Liu ( 2020). Prospect for major issues of China’s regional economic development during the 14th Five-year Plan period. Journal of Management World, 36( 5): 36– 51, 8 (in Chinese)
17 X H Li, ( 2020). New infrastructure construction and policy orientation for a smart society. Reform, ( 5): 34– 48
18 Z C (2019) Li. The multiple logics in the promotion of policy pilot: Evidence from smart cities pilot in China. Journal of Public Management, 16(3): 145– 156, 175 (in Chinese)
19 W Liang, Y Hu, X Zhou, Y Pan, K Wang, ( 2021). Variational few-shot learning for microservice-oriented intrusion detection in distributed industrial IoT. IEEE Transactions on Industrial Informatics, 18( 8): 5087– 5095
https://doi.org/10.1109/TII.2021.3116085
20 Y L Lin, X L Zhang, S Geertman, ( 2015). Toward smart governance and social sustainability for Chinese migrant communities. Journal of Cleaner Production, 107( 11): 389– 399
https://doi.org/10.1016/j.jclepro.2014.12.074
21 H Q Liu, Z W Tang, Q Cui, Y H Guo, Y F Wu, ( 2019). China’s foreign experience in building a smart society. E-Government, 196( 4): 9– 17
22 W F Liu, ( 2017). Smart government: A new paradigm of government governance for smart city construction. Journal of Party School of Nanjing Municipal Committee of CPC, ( 1): 62– 68
23 C Q Mei, Z L Liu, ( 2014). Experiment-based policy making or conscious policy design? The case of urban housing reform in China. Policy Sciences, 47( 3): 321– 337
https://doi.org/10.1007/s11077-013-9185-y
24 A Meijer, ( 2015). E-governance innovation: Barriers and strategies. Government Information Quarterly, 32( 2): 198– 206
https://doi.org/10.1016/j.giq.2015.01.001
25 G Misuraca, G Viscusi, ( 2015). Shaping public sector innovation theory: An interpretative framework for ICT-enabled governance innovation. Electronic Commerce Research, 15( 3): 303– 322
https://doi.org/10.1007/s10660-015-9184-5
26 M Postranecky, M Svitek, ( 2017). Assessment method to measure smartness of cities. In: Smart City Symposium Prague (SCSP). Prague: IEEE, 1– 5
27 T Qu, X J Zhang, ( 2020). Foreign experience in big data social governance innovation: Frontier trends, model optimization and dilemma challenges. E-Government, 205( 1): 92– 102
28 M Razaghi, M Finger, ( 2018). Smart governance for smart cities. Proceedings of the IEEE, 106( 4): 680– 689
https://doi.org/10.1109/JPROC.2018.2807784
29 Z G (2018) Shan. Smart society points out the direction for social informatization. People’s Daily, 2018– 1–24 (in Chinese)
30 J Shen, K Y Zhang, ( 2020). An empirical analysis of factors leading to typical urban problems in China. Progress in Geography, 39( 1): 1– 12
https://doi.org/10.18306/dlkxjz.2020.01.001
31 T Sun, ( 2018). Big data embedding: An important engine of social governance modernization. Seeker, ( 3): 61– 69
32 Y C Tang, Y Zhang, J N Yu, ( 2019). The intelligentization of social governance: Value, practices and realization path. The Journal of Shanghai Administration Institute, 20( 4): 54– 63
33 M Wang, Y Jing, ( 2019). Research on the construction of intelligent public cultural service cloud platform. Digital Library Forum, ( 2): 43– 50
34 Y K Wang, ( 2018). Smart society and the modernization of state governance. Journal of the Party School of Tianjin Committee of CPC, 20( 2): 62– 65
35 B Xu, Y Z Zhang, ( 2020). Discussion on the application of Internet of Things technology in urban road intelligent transportation. Electrical Technology of Intelligent Buildings, 14( 3): 25– 27
36 H S Xu, C Ma, J J Lian, K Xu, E Chaima, ( 2018). Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou, China. Journal of Hydrology, 563( 8): 975– 986
https://doi.org/10.1016/j.jhydrol.2018.06.060
37 S J Xu, M Q Ji, ( 2017). Path designing of implementing “Internet Plus” action of characteristic industrial chains in less developed areas: A case study of characteristic industrial chains in Qinghai Province. Science and Technology Management Research, 37( 18): 162– 166
38 W Xu, ( 2018). Study on the construction of intelligent culture service system under the requirements of public digital culture construction. E-Government, 183( 3): 54– 63
39 Y K (2017) Ye. Build a smart society with the people as the center. Posts and Telecommunications, 2017– 11–10 (in Chinese)
40 C G Zhang, P Li, ( 2020). Science and technology support social governance: Connotation, challenges and opportunities. Science & Technology Review, 38( 14): 134– 141
41 H B Zhang, ( 2017). Big data drives social governance. Comparative Economic & Social Systems, 191( 3): 64– 73
42 L P Zhang, X D Feng, Z W Tang, ( 2019). The realistic basis and path choice of China’s building smart society based on the analytical dimension of technology and system. E-government, 196( 4): 18– 26
43 W X Zhang, ( 2020). Innovation of theory, system and practice of social governance in China in the new era. Studies in Law and Business, 37( 2): 3– 17
44 B H Zhu, L G Wang, Y S Sun, H B Song, ( 2016). Progress in researches on surveillance and early warning of infectious diseases based on big data. Chinese Journal of Public Health, 32( 9): 1276– 1279
45 M Zook, ( 2017). Crowd-sourcing the smart city: Using big geosocial media metrics in urban governance. Big Data & Society, 4( 1): 1– 13
https://doi.org/10.1177/2053951717694384
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed