Fuzzy assisted human resource management for supply chain management issues

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dc.contributor.authorAlshurideh, Muhammad Turki
dc.contributor.authorAl Kurdi, Barween
dc.contributor.authorAlzoubi, Haitham M.
dc.contributor.authorGhazal, Taher M.
dc.contributor.authorSaid, Raed A.
dc.contributor.authorAlHamad, Ahmad Qasim
dc.contributor.authorHamadneh, Samer
dc.contributor.authorSahawneh, Nizar
dc.contributor.authorAl-kassem, Amer Hani
dc.date.accessioned2022-02-16T15:12:26Z
dc.date.available2022-02-16T15:12:26Z
dc.date.copyright© 2021
dc.date.issued2022
dc.descriptionThis article is not available at CUD collection. The version of scholarly record of this article is published in Annals of Operations Research (2022), available online at: https://doi.org/10.1007/s10479-021-04472-8en_US
dc.description.abstractIn addition, weights for criterion and links between dimensions and criteria were obtained using the Decision-making trial and evaluation laboratory and fuzzy analytical hierarchy process. Both methods can be combined since they serve various goals; earlier studies proposed using three-way type-1 fuzzy sets to achieve criteria weights and linkages across dimensions and criteria. The topics of HRM and Operation Management , respectively, include human resource management (HRM) and supply chain management (SCM). Although academics in each sector continue to advance SCM and HRM's role in developing more sustainable companies, integrating these two modern topics has been significantly delayed based on a more significant integration gap between HRM and SCM and fuzzy. The findings suggest that the educational criterion is more important than the other criteria since it is a cause and affects HRM directly. The research findings show that the suggested F-HRM-SCM technique is feasible, suggesting the educational criterion as the most persuasive factor in human resources management. Therefore, the study aims to provide the HRM-SCM connection with a synergistic and inclusive framework and suggest the research agenda for this integration. After achieving these aims, this paper highlights the consequences of fuzzy HRM-SCM integration in organizational sustainability and genuinely sustainable supply chains for academics, managers, and practitioners. The experimental results demonstrate that the proposed F-HRM-SCM model enhances the supply chain performance ratio of 98.9%, an efficiency ratio of 97.8%, employee satisfaction ratio of 96.7%, decision-making level by 98.2%, prediction ratio of 95.5%, and F1-score ratio of 97.4% compared to other existing approaches. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.en_US
dc.identifier.citationAlshurideh, M. T., Al Kurdi, B., Alzoubi, H. M., Ghazal, T. M., Said, R. A., AlHamad, A. Q., . . . Al-kassem, A. H. (2022). Fuzzy assisted human resource management for supply chain management issues. Annals of Operations Research, https://doi.org/10.1007/s10479-021-04472-8en_US
dc.identifier.issn02545330
dc.identifier.urihttps://doi.org/10.1007/s10479-021-04472-8
dc.identifier.urihttp://hdl.handle.net/20.500.12519/513
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relationAuthors Affiliations : Alshurideh, M.T., Department of Marketing, School of Business, The University of Jordan, Amman, Jordan, Department of Management, College of Business Administration, University of Sharjah, Sharjah, United Arab Emirates; Al Kurdi, B., Department of Business Administration, Faculty of Economics and Administrative Sciences, The Hashemite University, Zarqa, Jordan; Alzoubi, H.M., School of Business, Skyline University College, University City of Sharjah, Sharjah, 1797, United Arab Emirates; Ghazal, T.M., Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Selangor, Bangi, 43600, Malaysia, School of Information Technology, Skyline University College, University City of Sharjah, Sharjah, 1797, United Arab Emirates; Said, R.A., Faculty of Management, Canadian University Dubai, Dubai, United Arab Emirates; AlHamad, A.Q., Department of Information Systems, College of Computing and Informatics, University of Sharjah, Sharjah, United Arab Emirates; Hamadneh, S., Department of Marketing, School of Business, The University of Jordan, Amman, Jordan; Sahawneh, N., School of Business, Skyline University College, University City of Sharjah, Sharjah, 1797, United Arab Emirates; Al-kassem, A.H., School of Business, Skyline University College, University City of Sharjah, Sharjah, 1797, United Arab Emirates
dc.relation.ispartofseriesAnnals of Operations Research;
dc.rightsLicense to reuse the abstract has been secured from Springer Nature and Copyright Clearance Center.
dc.rights.holderCopyright : © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
dc.rights.licenseLicense Number : 5250800165247 License date : Feb 16, 2022
dc.rights.urihttps://s100.copyright.com/CustomerAdmin/PLF.jsp?ref=36b6d03a-1b60-4493-9ec5-60dfdf539e38
dc.subjectAnalytic hierarchy processen_US
dc.subjectFuzzyen_US
dc.subjectHuman resource managementen_US
dc.subjectSupply chainen_US
dc.titleFuzzy assisted human resource management for supply chain management issuesen_US
dc.typeArticleen_US
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