The Impact of Board Diversity on Corporate Performance Based on Neural Network Algorithms

DOI

10.2991/978-94-6463-548-5_19How to use a DOI?

Keywords

board diversity; corporate performance; neural network algorithm

Abstract

To uncover the specific impact of board diversity on corporate performance, neural network algorithms were utilized to examine the relationship between diversity indicators such as gender, age, and education, and corporate financial metrics. The results indicate that an appropriate configuration of board diversity significantly enhances the company’s revenue and net profit, suggesting that companies should consider the diverse characteristics of board members to promote long-term development and market competitiveness.

Copyright

© 2024 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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TY  - CONF
AU  - Naijun Hu
PY  - 2024
DA  - 2024/10/21
TI  - The Impact of Board Diversity on Corporate Performance Based on Neural Network Algorithms
BT  - Proceedings of the 2024 3rd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2024)
PB  - Atlantis Press
SP  - 153
EP  - 163
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-548-5_19
DO  - 10.2991/978-94-6463-548-5_19
ID  - Hu2024
ER  -