New distance measure-based RANCOM-AROMAN approach for evaluating sustainable human resource management factors in the manufacturing firms

Pratibha Rani (), Arunodaya Raj Mishra (), Adel Fahad Alrasheedi (), Ahmad M. Alshamrani () and Rajeev Dwivedi ()
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Pratibha Rani: Saveetha Institute of Medical and Technical Sciences (SIMATS)
Arunodaya Raj Mishra: Government College Raigaon
Adel Fahad Alrasheedi: King Saud University
Ahmad M. Alshamrani: King Saud University
Rajeev Dwivedi: Eastern Washington University

Operational Research, 2025, vol. 25, issue 2, No 19, 37 pages

Abstract: Abstract With the economic development, firms must pay attention to social development and encourage environmental sustainability in identical synchronization. Sustainable human resource management (SHRM) tactics make it possible to achieve social economic and environmental (SEE) objectives of firms. In the following, a survey approach is presented considering the literature review and online questionnaire to recognize key factors in the SHRM assessment of manufacturing firms in India. Ambiguity and uncertainty are generally occurred in the evaluation of diverse SHRM factors. As a generalization of fuzzy set, single-valued neutrosophic set (SVNS) has been considered as a significant mode to deal with the indeterminate, inconsistent and uncertain data of realistic decision-making problems. Taking into account of the notion of SVNSs, this paper proposes novel decision-making framework for evaluating SHRM of manufacturing firms. In the following goal, first, an extended alternative ranking order method accounting for two-step normalization is developed with SVN-score function-based decision experts’ (DEs’) weight finding procedure and united criteria weight-estimating approach to deal decision-making problems. Second, new SVN-distance measure (SVN-DM) is introduced to estimate degree of discrimination on SVNSs. Some different examples are given to exemplify the effectiveness of proposed SVN-DM with different existing measures. Third, new criteria weight-estimating approach is discussed by integrating the objective weight with maximum deviation method using proposed SVN-DM and subjective weight with ranking comparison model on SVNSs. Fourth, the developed ranking framework is employed on a case study of SHRM assessment for manufacturing firms in India, which expresses the utility and practicability. In this work, the assessment factors are considered as SEE dimensions with different DE’s views. Sensitivity and comparative evaluations are made to display the strength and stability of proposed ranking framework.

Keywords: Single-valued neutrosophic sets; Distance measure; Ranking comparison (RANCOM); AROMAN; Sustainable human resource management; SDGs (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s12351-025-00916-2

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