Navigating the Complexity of HRM Practice: A Multiple-Criteria Decision-Making Framework

被引:0
作者
Mircetic, Vuk [1 ]
Popovic, Gabrijela [1 ]
Vukotic, Svetlana [1 ]
Mihic, Marko [2 ]
Kovacevic, Ivana [2 ]
Dokovic, Aleksandar [2 ]
Slavkovic, Marko [3 ]
机构
[1] Univ Business Acad Novi Sad, Fac Appl Management Econ & Finance, Belgrade 11000, Serbia
[2] Univ Belgrade, Fac Org Sci, Belgrade 11000, Serbia
[3] Univ Kragujevac, Fac Econ, Kragujevac 34000, Serbia
关键词
human resource management; innovations; MCDM; CRITIC; PIPRECIA-S; COBRA; HRM; ranking; contemporary business environment; PAIRWISE RELATIVE CRITERIA; SELECTION; NORMALIZATION; PERFORMANCE; INNOVATION; WEIGHTS; CODAS;
D O I
10.3390/math12233769
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
A myriad of diverse factors affect the contemporary business environment and all business areas, causing organisations to innovate new business models, or to use innovations to navigate the complexity of contemporary HRM practice successfully. Despite the plenitude of notable studies, a particular theoretical gap exists regarding the innovation's impact on particular HRM practices and on understanding how multiple-criteria decision-making (MCDM) methods can be effectively applied in the context of human resource management (HRM) to address important aspects of successful practices and prioritise the considered alternative solutions. Recognising the potential of the MCDM field highlighted the possibility of involving the MCDM methods in detecting the most influential and innovative HRM practices and defining the rank of companies that are most successful in applying them. The innovative MCDM approach proposed here utilises the CRITIC (CRiteria Importance Through Intercriteria Correlation) method and PIPRECIA-S (Simple PIvot Pairwise RElative Criteria Importance Assessment) method for prioritising innovative HRM practices, and the COBRA (COmprehensive Distance Based RAnking) method for assessing the companies under evaluation. The research, which involved 21 respondent experts from the HRM field and 12 companies from the Republic of Serbia, revealed that employee participation is the most significant innovative HRM practice that yields the best results in the contemporary business environment. Consequently, the first-ranked company most successfully met the requirements of the innovative HRM practices presented.
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页数:21
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共 99 条
  • [1] Designing of an effective e-learning website using inter-valued fuzzy hybrid MCDM concept: A pedagogical approach
    Al-Gerafi, Mohammed Abdulwahab
    Goswami, Shankha Shubhra
    Khan, Mohammad Amir
    Naveed, Quadri Noorulhasan
    Lasisi, Ayodele
    Almohimeed, Abdulaziz
    Elaraby, Ahmed
    [J]. ALEXANDRIA ENGINEERING JOURNAL, 2024, 97 : 61 - 87
  • [2] Establishing the fuzzy integrated hybrid MCDM framework to identify the key barriers to implementing artificial intelligence-enabled sustainable cloud system in an IT industry
    Alshahrani, Reem
    Yenugula, Manideep
    Algethami, Haneen
    Alharbi, Fares
    Goswami, Shankha Shubhra
    Naveed, Quadri Noorulhasan
    Lasisi, Ayodele
    Islam, Saiful
    Khan, Nadeem A.
    Zahmatkesh, Sasan
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2024, 238
  • [3] Financial Performance Analysis Using the Merec-Based Cobra Method: An Application to Traditional and Low-Cost Airlines
    Asker, Veysi
    [J]. GOSPODARKA NARODOWA-THE POLISH JOURNAL OF ECONOMICS, 2024, 318 (02): : 35 - 52
  • [4] Impact of Innovation-Oriented Human Resource on Small and Medium Enterprises' Performance
    Aslam, Mahvish
    Shafi, Imran
    Ahmed, Jamil
    de Marin, Mirtha Silvana Garat
    Flores, Emmanuel Soriano
    Gutierrez, Marco Antonio Rojo
    Ashraf, Imran
    [J]. SUSTAINABILITY, 2023, 15 (07)
  • [5] Aytekin A., 2022, J. Process Manag. New Technol, V10, P115, DOI [10.5937/jouproman2201115A, DOI 10.5937/JOUPROMAN2201115A]
  • [6] Smart service quality in hospitality - A quantitative assessment using MCDM and clustering methods
    Ayvaz-Cavdaroglu, Nur
    Iyanna, Shilpa
    Foster, Monika
    [J]. INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT, 2024, 123
  • [7] A comprehensive MCDM assessment for economic data: success analysis of maximum normalization, CODAS, and fuzzy approaches
    Baydas, Mahmut
    Yilmaz, Mustafa
    Jovic, Zeljko
    Stevic, Zeljko
    Ozuyar, Sevilay Ece Gumus
    Ozcil, Abdullah
    [J]. FINANCIAL INNOVATION, 2024, 10 (01)
  • [8] Sensitivity analysis of the integrated AHP-TOPSIS and CRITIC-TOPSIS method for selection of the natural fiber
    Bhadra, Debanan
    Dhar, N. R.
    Salam, Md Abdus
    [J]. MATERIALS TODAY-PROCEEDINGS, 2022, 56 : 2618 - 2629
  • [9] Design and Application of Evaluation Method for Civics Classroom Based on CRITIC Fuzzy Algorithm
    Chang, Zhanyu
    [J]. EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS, 2024, 11 (01)
  • [10] A Novel Hybrid Fuzzy DEA-Fuzzy ARAS Method for Prioritizing High-Performance Innovation-Oriented Human Resource Practices in High Tech SME's
    Dahooie, Jalil Heidary
    Estiri, Mehrdad
    Zavadskas, Edmundas Kazimieras
    Xu, Zeshui
    [J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2022, 24 (02) : 883 - 908