Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

Corporate Board Diversity and ESG Performance in the Context of Big Data Management

Authors
Hongyan Chen1, *
1Sichuan University, Chengdu, China
*Corresponding author. Email: 1030848498@qq.com
Corresponding Author
Hongyan Chen
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_35How to use a DOI?
Keywords
Big Data Management; Cloud Computing; Internet of Things (IoT); Board Diversity; ESG performance
Abstract

Cloud computing, the Internet of Things, and other information technologies have become increasingly vital in the development of an intelligent society with the arrival of the big data era. In order to accomplish the transformation of business value, organizations should take advantage of cloud computing technology for huge data mining and employ IoT for governance intelligence construction. Esg is a crucial management component that businesses must urgently improve, so how to fully enhance corporate esg performance while simultaneously constructing information has emerged as a pressing problem. In contrast to most literature, which treats ESG as a whole or as a factor in theoretical research, this paper uses A-share listed companies in China from 2015 to 2017 as its research subject and empirically examines the effects of corporate board diversity on each of the three ESG dimensions: environmental, social, and governance. The study's findings demonstrate the enormous benefits that a diverse board of directors can bring to a company's environmental, social, and governance (ESG) performance. In the framework of big data management, this advances knowledge on how to enhance China's information construction, smart economy, and society.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
10.2991/978-94-6463-200-2_35
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_35How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Hongyan Chen
PY  - 2023
DA  - 2023/07/26
TI  - Corporate Board Diversity and ESG Performance in the Context of Big Data Management
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 326
EP  - 343
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_35
DO  - 10.2991/978-94-6463-200-2_35
ID  - Chen2023
ER  -