Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

December 13, 2023


Pages


DOI

Article

Research on Corporate Social Work Intervention through Integrated Media in the Age of Big Data

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Authors

Xiaofei Han Affiliation:
School of Sociology, University of Sanya, Sanya, Hainan, 572000, China.
and Xinyue Ren Affiliation:
Sanya Institute of Technology, Sanya, Hainan, 572000, China.


Abstract

In this paper, the structural equation model is constructed, the explicit and implicit structural relationships of the structural equation model are investigated, and the differences between the two structural relationships are compared. Then, the covariance array of the variables is obtained through the samples, and then the parameters of the established structural equation model are estimated from the sample data, and the fit of the model to the data is judged from the structural equation model as a whole. Then, the media perception and attitude situation of corporate employees towards media were analyzed, and the impact of melting media on corporate social work was analyzed based on the structural equation model. The path coefficients of the influence of melting media on the survivability, growth and regeneration of social work are 0.09, 0.186 and 0.081, respectively, with p<0.005, which indicates that melting media has a positive influence on the effect of corporate social work. The research in this paper provides a tool that can be utilized for the development and improvement of corporate social work and provides ideas that can be used for the integration and development of corporate social work and integrated media.


Keywords

Structural equation, Parameter estimation, Covariance array, Goodness of fit, Corporate social work, Integration between industry and education, 68P01


Citation

Han, X. & Ren, X. (2023). Research on corporate social work intervention through integrated media in the age of big data. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01455

Published by: Engineering Journals

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