Abstract

Green Leadership for effective Human Resource Management: The role of Artificial Intelligence

Richard Sae Brenyah*, Theresa Obuobisa-Darko

Purpose: The paper aims to provide an extension of the literature on green leadership and AI by focusing on the nexus between green leadership and Human Resource Management (HRM) with AI mediating/moderating this relationship. Design/methodology/approach: This is a non-empirical review of the literature with the development of a conceptual model which can be empirically tested. Data was obtained from refereed journals, textbooks, and other relevant literature. Findings: The deduction is, that the use of AI by green leader?s influences HRM positively. Also, green leadership influences HRM positively by greening various HRM practices. Lastly, the adoption of AI influences the relationship between green leadership and HRM positively. Hence, managers should adopt a green leadership orientation and use AI to influence HRM positively. Research limitations/implications: This research is conceptual, and the proposed model needs to be empirically tested to have a greater validity. Practical implications: The inference is green leaders are more likely to adopt artificial intelligence mechanisms due to their quest for sustainable development. Hence, the outcome informs leaders about the need to integrate AI into the HRM function to ensure organisational sustainability. Originality: The study provides an extension to the literature on green leadership and artificial intelligence, particularly within the area of human resource management, and proposes a unique model that suggests that the adoption of artificial intelligence by green leaders in organisations results in greening the entire human resource management function and thus emphasizes the unique role artificial intelligence plays in achieving sustainable HRM.

Published Date: 2025-01-29; Received Date: 2023-12-12