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Evaluating the Sustainable Human Resource Management in Manufacturing Firms Using Single-Valued Neutrosophic Distance Measure-Based RANCOM-AROMAN Model
Rani, P.; Mishra, A.R.; Alrasheedi, A.F.; Xie, B.; DWIVEDI, R. Evaluating the Sustainable Human Resource Management in Manufacturing Firms Using Single-Valued Neutrosophic Distance Measure-Based RANCOM-AROMAN Model. Preprints2023, 2023091698. https://doi.org/10.20944/preprints202309.1698.v1
APA Style
Rani, P., Mishra, A.R., Alrasheedi, A.F., Xie, B., & DWIVEDI, R. (2023). Evaluating the Sustainable Human Resource Management in Manufacturing Firms Using Single-Valued Neutrosophic Distance Measure-Based RANCOM-AROMAN Model. Preprints. https://doi.org/10.20944/preprints202309.1698.v1
Chicago/Turabian Style
Rani, P., Bo Xie and RAJEEV DWIVEDI. 2023 "Evaluating the Sustainable Human Resource Management in Manufacturing Firms Using Single-Valued Neutrosophic Distance Measure-Based RANCOM-AROMAN Model" Preprints. https://doi.org/10.20944/preprints202309.1698.v1
Abstract
Along with the economic growth, the companies must contribute to social progress and promote environmental sustainability in equal harmony. Sustainable human resource management (SHRM) strategies make it possible to attain the economic, social and environmental goals of a firm. In this regard, a survey method is discussed using the literature review and online questionnaire to identify the main factors/indicators during the SHRM evaluation of manufacturing firms in India. Uncertainty is commonly occurred in the assessment of SHRM factors. As a generalized version of fuzzy sets, single-valued neutrosophic set (SVNS) has been demonstrated as a valuable tool to illustrate the indeterminate, inconsistent and uncertain data of realistic decision-making problems. Considering the idea of SVNSs, this study develops a hybrid multi-criteria group decision-making (MCGDM) approach for assessing the SHRM of manufacturing firms under uncertainty settings. For this purpose, an SVN-alternative ranking order method accounting for two-step normalization (AROMAN) is proposed based on VIFI-score function-based decision experts’ (DEs’) weighting tool and integrated criteria weight-determining model to solve the MCGDM problems with fully unknown DEs and criteria weights. In this regard, we develop new SVN-distance measure to compute the degree of difference between SVNSs. Some examples are presented to demonstrate the efficacy of developed measure over the existing ones. In addition, new criteria weight-determination model is presented with the integration of objective weights through IVIF-distance measure-based model and subjective weights through ranking comparison (RANCOM) tool on SVNSs. The proposed ranking method is applied to an empirical study of SHRM assessment for manufacturing firms in India, which shows its applicability and feasibility. In this study, the evaluation criteria are characterized into social, environmental and economic aspects with DE’s opinions. Comparative and sensitivity analyses are made to show the strength and steadiness of presented approach. This study provides an innovative MCGDM analysis framework, which makes a significant contribution to the SHRM assessment problem under indeterminate, inconsistent and uncertain setting.
Keywords
single-valued neutrosophic sets; RANCOM; AROMAN; sustainable human resource management; sustainable development
Subject
Business, Economics and Management, Business and Management
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
