IDEAS home Printed from https://ideas.repec.org/a/spr/operea/v25y2025i2d10.1007_s12351-025-00916-2.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Pratibha Rani & Arunodaya Raj Mishra & Adel Fahad Alrasheedi & Ahmad M. Alshamrani & Rajeev Dwivedi, 2025. "New distance measure-based RANCOM-AROMAN approach for evaluating sustainable human resource management factors in the manufacturing firms," Operational Research, Springer, vol. 25(2), pages 1-37, June.
    • Handle: RePEc:spr:operea:v:25:y:2025:i:2:d:10.1007_s12351-025-00916-2
    DOI: 10.1007/s12351-025-00916-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12351-025-00916-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12351-025-00916-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:operea:v:25:y:2025:i:2:d:10.1007_s12351-025-00916-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.