Linking corporate social responsibility and AI driven green human resource management to financial performance in hotels
- 1Faculty of Human resources management, Thuongmai University
Abstract
Purpose AI functions as a strategic tool to advance green human resource management (GHRM) and boost operational efficiency. This paper examines the impact of AI and GHRM on corporate social responsibility (CSR), low-carbon behavior (LCB), and the financial performance (FP) of hotels. Design/methodology/approach The study utilized a PLS-SEM model to examine the impact of AI and GHRM on LCB, employee performance, and financial efficiency. An anonymous survey consisting of 32 questions was conducted with 882 participants from various hotels in Vietnam. Findings Three measurement items (GHRM4, LCB4, and LCB6) were eliminated because of insufficient external loading coefficients. The standardized model indicated that AI exerts a considerable impact on GHRM (β = 0.632) and CSR. AI influences FP through the mediating roles of GHRM and LCB. Furthermore, LCB positively contributes to the effect of GHRM on FP. Originality/value The research provided significant insights regarding the role of integrating AI with GHRM as a crucial element in assisting hotels to bolster their CSR, encourage LCB, and enhance their FP. Subsequently, it is essential to further elaborate and integrate AMO theory alongside social responsibility theory. Hotels will refine their resource utilization to foster green initiatives among staff, aiming to lower operational expenses, minimize waste, and strengthen their sustainable competitive edge within the framework of digital and ecological transformation.
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BibTeX
@article{dinh2026linking,
title = {{Linking corporate social responsibility and AI driven green human resource management to financial performance in hotels}},
author = {Huong Thi Dinh and Van Trang Tran and Anh Ngoc Nguyen and Nhung Hong Nguyen and Kim Thoa Thi Bui},
journal = {Discover Sustainability},
year = {2026},
month = jul,
doi = {10.1007/s43621-026-04159-9},
url = {https://doi.org/10.1007/s43621-026-04159-9},
note = {CC BY},
}
RIS
TY - JOUR
TI - Linking corporate social responsibility and AI driven green human resource management to financial performance in hotels
AU - Huong Thi Dinh
AU - Van Trang Tran
AU - Anh Ngoc Nguyen
AU - Nhung Hong Nguyen
AU - Kim Thoa Thi Bui
PY - 2026
DA - 2026/07/01
JO - Discover Sustainability
DO - 10.1007/s43621-026-04159-9
UR - https://doi.org/10.1007/s43621-026-04159-9
AB - Purpose AI functions as a strategic tool to advance green human resource management (GHRM) and boost operational efficiency. This paper examines the impact of AI and GHRM on corporate social responsibility (CSR), low-carbon behavior (LCB), and the financial performance (FP) of hotels. Design/methodology/approach The study utilized a PLS-SEM model to examine the impact of AI and GHRM on LCB, employee performance, and financial efficiency. An anonymous survey consisting of 32 questions was conducted with 882 participants from various hotels in Vietnam. Findings Three measurement items (GHRM4, LCB4, and LCB6) were eliminated because of insufficient external loading coefficients. The standardized model indicated that AI exerts a considerable impact on GHRM (β = 0.632) and CSR. AI influences FP through the mediating roles of GHRM and LCB. Furthermore, LCB positively contributes to the effect of GHRM on FP. Originality/value The research provided significant insights regarding the role of integrating AI with GHRM as a crucial element in assisting hotels to bolster their CSR, encourage LCB, and enhance their FP. Subsequently, it is essential to further elaborate and integrate AMO theory alongside social responsibility theory. Hotels will refine their resource utilization to foster green initiatives among staff, aiming to lower operational expenses, minimize waste, and strengthen their sustainable competitive edge within the framework of digital and ecological transformation.
SN - 2662-9984
ER -