Proceedings of the International Conference on Emerging Challenges: Sustainable Strategies in the Data-driven Economy (ICECH 2024)

Labour Management Sustainability Score And Firm Financial Performance Between Companies In Vietnam

Authors
Hanh M. Duong1, *, H.-Anh Nguyen1, Hien T. Nguyen1
1International School, Vietnam National University, Hanoi, Vietnam
*Corresponding author. Email: hanhdm@vnuis.edu.vn
Corresponding Author
Hanh M. Duong
Available Online 30 April 2025.
DOI
10.2991/978-94-6463-694-9_30How to use a DOI?
Keywords
Sustainable Labour Management; Financial Performance; Vietnam Companies
Abstract

Research purpose: The study utilises MSCI ESG Ratings to examine the correlation between labour management sustainability and financial performance of 100 Vietnamese enterprises, promoting sustainable labour management in a challenging economic climate.

Research motivation: The study aims to provide an empirical framework for Vietnamese enterprises regarding labour management sustainability, addressing discrepancies and enabling comparisons between firms. It serves as a reference example for Vietnamese businesses in measuring the sustainability of labour management through the MSCI ESG Rating Methodology.

Research design, approach, and method: We collected data from 100 companies in Vietnam from financial statements, annual reports, and official websites from 2018 to 2022. The data was used to derive financial performance indicators and the Labour Management Key Issue Score by applying the MSCI ESG Rating Methodology. These data are then analyzed using panel regression via Stata to determine the relationship between labour management sustainability and financial performance.

Main findings: The study categorized businesses into groups based on EXP, MGMT, KI, and Equity. The study revealed that the Labour Management Sustainability Score has a positive influence on the return on equity (ROE) and return on assets (ROA) of Vietnamese enterprises. These findings contribute to the theoretical framework of the MSCI ESG Ratings Methodology and the field of labour management.

Practical/ managerial implications: In the context of labour management of businesses, firms are increasingly encouraged to embrace global labour management standards and publicly release pertinent labour management data. The study adopting the MSCI ESG rating method can serve as a reference for businesses, as labour management positively impacts financial performance.

Copyright
© 2025 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.

Download article (PDF)

Volume Title
Proceedings of the International Conference on Emerging Challenges: Sustainable Strategies in the Data-driven Economy (ICECH 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
30 April 2025
ISBN
978-94-6463-694-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-694-9_30How to use a DOI?
Copyright
© 2025 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  - Hanh M. Duong
AU  - H.-Anh Nguyen
AU  - Hien T. Nguyen
PY  - 2025
DA  - 2025/04/30
TI  - Labour Management Sustainability Score And Firm Financial Performance Between Companies In Vietnam
BT  - Proceedings of the International Conference on Emerging Challenges: Sustainable Strategies in the Data-driven Economy (ICECH 2024)
PB  - Atlantis Press
SP  - 434
EP  - 450
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-694-9_30
DO  - 10.2991/978-94-6463-694-9_30
ID  - Duong2025
ER  -