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A New Hybrid MCDM Model for Personnel Selection in the Mining Industry Based on the PIPRECIA-S, CRITIC, and WISP Methods

Author

Listed:
  • Maja Stanujkić

  • Vuk Mirčetić

    (Assistant Professor, Faculty of Applied Management, Economics and Finance (MEF))

  • Dragiša Stanujkić

  • Darjan Karabašević

  • Gabrijela Popović

  • Muzafer Saračević

  • Pavle Brzaković

Abstract

A myriad of factors impact various areas of the contemporary mining environment, making it more challenging. As in other industries, the ultimate goal in mining is optimising organisational operations and achieving the best results. A prerequisite to effectively achieving organisational goals is hiring the best personnel. Different innovative methods are implemented for optimisations in various areas of the mining industry. Numerous researches have been conducted so far on the use of various Multi-criteria decision-making (MCDM) methods in different areas of the mining industry. However, despite the plenitude of significant research in this context, a particular gap exists regarding personnel selection in the mining industry. This paper endeavours to narrow a current gap by providing a systematic literature review regarding MCDM methods in the mining industry. Therefore, the aim of the paper is to provide a novel hybrid integrated MCDM approach that is based on the PIPRECIA-S, CRITIC, and WISP methods for personnel selection in the mining industry. The weights of the criteria are determined by one subjective method (PIPRECIA-S) and by one objective method (CRITIC). Whereas, the final ranking is determined by the WISP method. The proposed integrated MCDM model shows itself as a very suitable technique for use in the process of evaluation of personnel in the mining industry.

Suggested Citation

  • Maja Stanujkić & Vuk Mirčetić & Dragiša Stanujkić & Darjan Karabašević & Gabrijela Popović & Muzafer Saračević & Pavle Brzaković, 2025. "A New Hybrid MCDM Model for Personnel Selection in the Mining Industry Based on the PIPRECIA-S, CRITIC, and WISP Methods," Post-Print hal-05475452, HAL.
    • Handle: RePEc:hal:journl:hal-05475452
    DOI: 10.46544/ams.v30i3.18
    Note: View the original document on HAL open archive server: https://hal.science/hal-05475452v1
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    References listed on IDEAS

    as
    1. 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.
    2. Kusi-Sarpong, Simonov & Bai, Chunguang & Sarkis, Joseph & Wang, Xuping, 2015. "Green supply chain practices evaluation in the mining industry using a joint rough sets and fuzzy TOPSIS methodology," Resources Policy, Elsevier, vol. 46(P1), pages 86-100.
    3. Michał Patyk & Przemysław Bodziony & Zbigniew Krysa, 2021. "A Multiple Criteria Decision Making Method to Weight the Sustainability Criteria of Equipment Selection for Surface Mining," Energies, MDPI, vol. 14(11), pages 1-14, May.
    4. Gupta, Pankaj & Mehlawat, Mukesh Kumar & Aggarwal, Usha & Charles, V., 2021. "An integrated AHP-DEA multi-objective optimization model for sustainable transportation in mining industry," Resources Policy, Elsevier, vol. 74(C).
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