Optimizing ESG Management in Enterprises Using 'Internet +' and Big Data Technologies

Authors

  • Zheng Fu Postgraduate Candidate, Faculty of economics and management, national university of malaysia(UKM), Senior lecturer of HeNan Technician institute, China
  • Noorsakinah Abdul Wahab Doctor, Center for governance, Resilience and accountability studies(GRACE), Faculty of economics and management, National university of malaysia(UKM)

DOI:

https://doi.org/10.31838/NJAP/06.03.06

Keywords:

Internet+, Data Information, Listed Companies, Corporate Governance.

Abstract

The in-depth development of "Internet +" has made the application of data information technology in ESG (Environmental, Social and Governance) management more extensive and has made the optimization of ESG management the focus of listed companies. The original statistical evaluation method cannot solve the problem of improving the level of ESG management, and the ability to improve the quality of the environment, society and the company is weak, increasing ESG management's difficulty. Therefore, this paper proposes a method based on big data technology to optimize ESG management. First, the "Internet +" technology is used to analyze environmental, social and company quality data, and ESG management classification is carried out according to the requirements of listed companies. Then, according to the classification results, the "Internet+" technology forms different ESG management sets and iteratively mines different sets to obtain the optimal optimization strategy. After MATLAB testing, the effect of ESG management can be improved based on Internet + technology. The effect improvement rate reaches 92.6%, the ESG management process is improved, the improvement is 25%, and the ESG management time is reduced to 15 seconds, which meets the ESG management needs of listed companies.

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Published

2024-11-05

How to Cite

Zheng Fu, & Noorsakinah Abdul Wahab. (2024). Optimizing ESG Management in Enterprises Using ’Internet +’ and Big Data Technologies. National Journal of Antennas and Propagation, 6(3), 43-52. https://doi.org/10.31838/NJAP/06.03.06

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