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Research on the Optimization of Digital Transformation of Social Assistance Based on Entropy Change Theory.

Authors :
Yue-qiao Yang
Shi-chuang Li
Teng-yue Xie
Source :
Journal of Risk Analysis & Crisis Response (JRACR). 2024, Vol. 14 Issue 2, p205-215. 11p.
Publication Year :
2024

Abstract

With the development of digitalization in China, the social assistance environment has also undergone tremendous changes in the digital era, which requires social managers to achieve high-quality and efficient assistance through digital transformation. The research introduces the theory of entropy change, constructs a two-dimensional quadrant method, and demonstrates that the orderly digital transformation of social assistance is achieved by negative entropy reduction offsetting positive entropy increase. Based on the current situation and case study of the digital transformation of social assistance in China, the entropy change of social assistance system has the characteristics of variability, uncertainty and complexity. Based on these three characteristics, the optimization path of the digital transformation of the social assistance system is proposed from the perspectives of negative entropy increase and positive entropy flow. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22108491
Volume :
14
Issue :
2
Database :
Academic Search Index
Journal :
Journal of Risk Analysis & Crisis Response (JRACR)
Publication Type :
Academic Journal
Accession number :
178454318
Full Text :
https://doi.org/10.54560/jracr.v14i2.471