Prioritising green HRM practices: A pre-test application of Fuzzy TOPSIS
DOI:
https://doi.org/10.15282/ijim.20.2.2026.12582Keywords:
Green HRM , Green Recruitment , Green Training, Green Rewards , Green Employee Involvement , Fuzzy TOPSISAbstract
Green Human Resource Management (Green HRM) has been acknowledged as a strategic approach to encouraging green sustainability within organisations. However, there is a lack of structured practices for ranking the most impactful Green HRM practices, especially among Malaysian manufacturing industries. This study addresses the research gap by evaluating the relative importance of Green HRM practices using the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). It aims to identify whether Fuzzy TOPSIS can serve as a prominent decision-making tool for determining the most effective Green HRM practices in organisations. A pre-test was conducted with two decision-makers comprising Human Resource (HR) managers from the manufacturing industries. The questionnaire was developed based on prior studies and the variables encompassed four Green HRM practices: green recruitment, green training, green rewards, and green employee involvement. Fuzzy logic was incorporated to handle the uncertainty in expert judgment. The findings revealed that green rewards ranked first, followed by green employee involvement, green recruitment, and green training. This suggests that reward-based and involvement strategies are the most influential factors in driving sustainable HR outcomes within organisations. This study contributes to the limited research on decision-making tools in Green HRM and provides a practical foundation for future large-scale evaluations by using Fuzzy TOPSIS.
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