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

Author

Listed:
  • Vuk Mirčetić

    (Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Belgrade 11000, Serbia)

  • Gabrijela Popović

    (Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Belgrade 11000, Serbia)

  • Svetlana Vukotić

    (Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Belgrade 11000, Serbia)

  • Marko Mihić

    (Faculty of Organisational Sciences, University of Belgrade, Belgrade 11000, Serbia)

  • Ivana Kovačević

    (Faculty of Organisational Sciences, University of Belgrade, Belgrade 11000, Serbia)

  • Aleksandar Đoković

    (Faculty of Organisational Sciences, University of Belgrade, Belgrade 11000, Serbia)

  • Marko Slavković

    (Faculty of Economics, University of Kragujevac, Kragujevac 34000, Serbia)

Abstract

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.

Suggested Citation

  • Vuk Mirčetić & Gabrijela Popović & Svetlana Vukotić & Marko Mihić & Ivana Kovačević & Aleksandar Đoković & Marko Slavković, 2024. "Navigating the Complexity of HRM Practice: A Multiple-Criteria Decision-Making Framework," Mathematics, MDPI, vol. 12(23), pages 1-21, November.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:23:p:3769-:d:1532842
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    References listed on IDEAS

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    1. Corral de Zubielqui, Graciela & Fryges, Helmut & Jones, Janice, 2019. "Social media, open innovation & HRM: Implications for performance," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 334-347.
    2. Dragisa STANUJKIC & Darjan KARABASEVIC & Gabrijela POPOVIC & Cipriana SAVA, 2021. "Simplified Pivot Pairwise Relative Criteria Importance Assessment (Piprecia-S) Method," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 141-154, December.
    3. Zenonas Turskis & Violeta Keršulienė, 2024. "SHARDA–ARAS: A Methodology for Prioritising Project Managers in Sustainable Development," Mathematics, MDPI, vol. 12(2), pages 1-23, January.
    4. Alptekin Ulutaş & Gabrijela Popovic & Dragisa Stanujkic & Darjan Karabasevic & Edmundas Kazimieras Zavadskas & Zenonas Turskis, 2020. "A New Hybrid MCDM Model for Personnel Selection Based on a Novel Grey PIPRECIA and Grey OCRA Methods," Mathematics, MDPI, vol. 8(10), pages 1-14, October.
    5. Mahvish Aslam & Imran Shafi & Jamil Ahmed & Mirtha Silvana Garat de Marin & Emmanuel Soriano Flores & Marco Antonio Rojo Gutiérrez & Imran Ashraf, 2023. "Impact of Innovation-Oriented Human Resource on Small and Medium Enterprises’ Performance," Sustainability, MDPI, vol. 15(7), pages 1-23, April.
    6. Snežana Tadić & Mladen Krstić & Ljubica Radovanović, 2024. "Assessing Strategies to Overcome Barriers for Drone Usage in Last-Mile Logistics: A Novel Hybrid Fuzzy MCDM Model," Mathematics, MDPI, vol. 12(3), pages 1-25, January.
    7. Snežana Tadić & Mladen Krstić & Svetlana Dabić-Miletić & Mladen Božić, 2023. "Smart Material Handling Solutions for City Logistics Systems," Sustainability, MDPI, vol. 15(8), pages 1-26, April.
    8. Imad Hassan & Ibrahim Alhamrouni & Nurul Hanis Azhan, 2023. "A CRITIC–TOPSIS Multi-Criteria Decision-Making Approach for Optimum Site Selection for Solar PV Farm," Energies, MDPI, vol. 16(10), pages 1-26, May.
    9. Veysi Asker, 2024. "Financial Performance Analysis Using the Merec-Based Cobra Method: An Application to Traditional and Low-Cost Airlines," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 35-52.
    10. Alptekin Ulutaş & Mladen Krstić & Ayşe Topal & Leonardo Agnusdei & Snežana Tadić & Pier Paolo Miglietta, 2024. "A Novel Hybrid Gray MCDM Model for Resilient Supplier Selection Problem," Mathematics, MDPI, vol. 12(10), pages 1-22, May.
    11. Ayşegül Tuş & Esra Aytaç Adalı, 2019. "The new combination with CRITIC and WASPAS methods for the time and attendance software selection problem," OPSEARCH, Springer;Operational Research Society of India, vol. 56(2), pages 528-538, June.
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