ORIGINAL RESEARCH article
Front. Appl. Math. Stat.
Sec. Dynamical Systems
Volume 11 - 2025 | doi: 10.3389/fams.2025.1624159
This article is part of the Research TopicInnovative Applications of Applied Mathematics in Solving Real-World ChallengesView all 5 articles
Assessing Organizational Efficiency in AI-Based GHRM Using Fuzzy SWARA and MOORA Mathematical Modeling
Provisionally accepted
- 1Amity Business School, Amity University, Noida, India
- 2JIMS, Engineering Management Technical Campus, Greater Noida, India
- 3SSBSR, Sharda University, Greater Noida, Greater Noida, India
- 4SSMR, Sharda University, Greater Noida, Greater Noida, India
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This study explores the shift in Green Human Resource Management (GHRM) through Artificial Intelligence (AI) adoption by looking at sustainability-driven practices and assessing how they affect organizational eco-efficiency in six different companies to run them efficiently and effectively. This research paper evaluates the efficiency of six companies in implementing AI-GHRM practices using ten key criteria. To ensure a robust and structured decision-making process under conditions of uncertainty, two prominent fuzzy Multi-Criteria-Decision-Making (MCDM) mathematical modeling Fuzzy Stepwise Weight Assessment Ratio Analysis (F-SWARA) and Fuzzy Multi-Objective Optimization based on Ratio Analysis (F-MOORA) are applied in the fuzzy environment. Applying linguistic factors to account for the subjectivity and ambiguity of human evaluations, the SWARA approach is used to estimate the weights of the ten AI-GHRM criteria based on purchasing managers' judgments expressed in terms of triangular fuzzy numbers (TFNs). These criteria weights are then used in the fuzzy MOORA mathematical modeling method to rank the companies in terms of their overall efficiency in AI-GHRM adoption. The results provide a comprehensive range of companies, highlighting the best practices and offering insights into strategic areas for improvement. This paper offers a unique hybrid paradigm for performance evaluation under fuzzy settings, advancing both academic and practical knowledge of sustainable HRM integration with AI technology. The findings of the paper are that the fifth company was placed first.
Keywords: Green human resource management (GHRM), Artificial intelligence (AI), Fuzzy Stepwise Weight Assessment Ratio Analysis (F-SWARA), Fuzzy Multi-Objective Optimization Ratio Analysis (F-MOORA), AI-GHRM adoption
Received: 07 May 2025; Accepted: 25 Aug 2025.
Copyright: © 2025 Nitendra Kumar, Agarwal, Sharma, Alam and Agarwal. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Khursheed Alam, SSBSR, Sharda University, Greater Noida, Greater Noida, India
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