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

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.