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.
引用
收藏
页数:21
相关论文
共 50 条
  • [41] A Multiple-Criteria Decision-Making Method Based on D Numbers and Belief Entropy
    Xiao, Fuyuan
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2019, 21 (04) : 1144 - 1153
  • [42] Relative agreement method for multiple-criteria decision-making problems with interval numbers
    Saffarzadeh, S.
    Jamshidi, A.
    Hadi-Vencheh, A.
    SCIENTIA IRANICA, 2023, 30 (03) : 1169 - 1179
  • [43] A Fuzzy Multiple-Criteria Decision-Making System for Analyzing Gaps of Service Quality
    Hsu, Wei
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2015, 17 (02) : 256 - 267
  • [44] A Fuzzy Multiple-Criteria Decision-Making System for Analyzing Gaps of Service Quality
    Wei Hsu
    International Journal of Fuzzy Systems, 2015, 17 : 256 - 267
  • [45] A Multiple-Criteria Decision-Making Method Based on D Numbers and Belief Entropy
    Fuyuan Xiao
    International Journal of Fuzzy Systems, 2019, 21 : 1144 - 1153
  • [46] OPTIMAL SCHEDULED-MAINTENANCE POLICY BASED ON MULTIPLE-CRITERIA DECISION-MAKING
    HWANG, CL
    TILLMAN, FA
    WEI, WK
    LIE, CH
    IEEE TRANSACTIONS ON RELIABILITY, 1979, 28 (05) : 394 - 399
  • [47] Evaluating Environmental Sustainability: An Integration of Multiple-Criteria Decision-Making and Fuzzy Logic
    Kevin F.R. Liu
    Environmental Management, 2007, 39 : 721 - 736
  • [48] MICRO-SITING OF FLOATING TURBINES THROUGH MULTIPLE-CRITERIA DECISION-MAKING
    Díaz, Hugo
    Soares, C. Guedes
    PROCEEDINGS OF ASME 2021 40TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING (OMAE2021), VOL 5, 2021,
  • [49] A Comparative Study of Multiple-Criteria Decision-Making Methods under Stochastic Inputs
    Kolios, Athanasios
    Mytilinou, Varvara
    Lozano-Minguez, Estivaliz
    Salonitis, Konstantinos
    ENERGIES, 2016, 9 (07)
  • [50] Applying fuzzy multiple-criteria decision-making method to select the distribution center
    Wang, Yu-Jie
    Kao, Chao-Shun
    FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 4, PROCEEDINGS, 2007, : 473 - 477