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