Fuzzy assisted human resource management for supply chain management issues

dc.contributor.author Alshurideh, Muhammad Turki
dc.contributor.author Al Kurdi, Barween
dc.contributor.author Alzoubi, Haitham M.
dc.contributor.author Ghazal, Taher M.
dc.contributor.author Said, Raed A.
dc.contributor.author AlHamad, Ahmad Qasim
dc.contributor.author Hamadneh, Samer
dc.contributor.author Sahawneh, Nizar
dc.contributor.author Al-kassem, Amer Hani
dc.date.accessioned 2022-02-16T15:12:26Z
dc.date.available 2022-02-16T15:12:26Z
dc.date.copyright © 2021
dc.date.issued 2022
dc.description This 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/s10479-021-04472-8 en_US
dc.description.abstract In 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.citation Alshurideh, 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/s10479-021-04472-8 en_US
dc.identifier.issn 02545330
dc.identifier.uri https://doi.org/10.1007/s10479-021-04472-8
dc.identifier.uri http://hdl.handle.net/20.500.12519/513
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation Authors 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.ispartofseries Annals of Operations Research;
dc.rights License to reuse the abstract has been secured from Springer Nature and Copyright Clearance Center.
dc.rights.holder Copyright : © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
dc.rights.license License Number : 5250800165247 License date : Feb 16, 2022
dc.rights.uri https://s100.copyright.com/CustomerAdmin/PLF.jsp?ref=36b6d03a-1b60-4493-9ec5-60dfdf539e38
dc.subject Analytic hierarchy process en_US
dc.subject Fuzzy en_US
dc.subject Human resource management en_US
dc.subject Supply chain en_US
dc.title Fuzzy assisted human resource management for supply chain management issues en_US
dc.type Article en_US
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