Analysis of Stakeholders and Corporate Social Responsibility in Logistics Enterprises from a Corporate Governance Perspective
- DOI
- 10.2991/978-94-6463-570-6_50How to use a DOI?
- Keywords
- social responsibility; stakeholders; logistics companies; entropy power; TOPSIS
- Abstract
In the development of modern enterprises, the fulfilment of corporate social responsibility to stakeholders has received more and more attention. Using the TOPSIS entropy weight method to analyse the social responsibility indicators of logistics enterprises, it is found that there are problems such as bias and insufficient performance of social responsibility to stakeholders other than shareholders in the performance of social responsibility of logistics enterprises. Based on the results of the analysis, it is proposed that the government should provide support in terms of loans, policies and taxes to logistics enterprises that take the initiative to assume social responsibility, and logistics enterprises need to correctly understand the cost of assuming social responsibility and set up a correct management theory of social responsibility.
- 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.
Cite this article
TY - CONF AU - Yingzhu Zhou AU - Ruohong Xu PY - 2024 DA - 2024/11/22 TI - Analysis of Stakeholders and Corporate Social Responsibility in Logistics Enterprises from a Corporate Governance Perspective BT - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024) PB - Atlantis Press SP - 505 EP - 512 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-570-6_50 DO - 10.2991/978-94-6463-570-6_50 ID - Zhou2024 ER -