Empowering Women in Agribusiness: A Fuzzy VIKOR Approach to Personnel Selection

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Slađana Vujičić
Miroslav Nedeljković
Marjan Marjanović

Abstract

This study addresses the challenges of personnel selection in modern management, particularly focusing on women's roles in agribusiness - a critical sector for economic stability and sustainability. The research method used in the paper was multi-criteria decision-making, or fuzzy logic, in selecting the most suitable candidate as one of the basic goals of work. In these cases, it is necessary to apply fuzzy decision-making logic, which would reduce the existing uncertainty in the selection process. Research shows that including women in the agricultural sector can significantly enhance productivity and innovation, key for maintaining market competitiveness. Also, the application of the Fuzzy VIKOR method identified Candidate 5 as the optimal choice, demonstrating the method’s effectiveness in multi-criteria decision-making. The importance of the research is the existence of a good basis for further research on this topic in other areas, as well as in the further development of multi-criteria decision-making methods that are used for these purposes.

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References

[1] Alguliyev, R. M., Aliguliyev, R. M., & Mahmudova, R. S. (2015). Multicriteria personnel selection by the modified fuzzy VIKOR method. The Scientific World Journal, 1–16.
[2] Aziz, Y., Waleed, M., & Rehman, A. (2019). Job satisfaction among doctors and nurses of Shalamar Hospital. Pakistan Journal of Medical and Health Sciences, 13(4), 1021–1023.
[3] Chen, L. Y., & Wang, T. C. (2009). Optimizing partners’ choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR. International Journal of Production Economics, 120, 233–242.
[4] Cvijanović, D., Pantić, N., & Ignjatijević, S. (2019). Ekonomska analiza zaposlenosti BDP-a u zemljama Evropske unije. Ekonomija: Teorija i Praksa, 12(4), 11–23.
[5] Dragić, M., Kastratović, E., Miletić, L., Bačevac, S., & Arsenijević, O. (2024). Uporedna analiza motivacionih faktora u javnom i privatnom sektoru. Akademski Pregled, 7(1), 61–71.
[6] Ersoy, N. (2017). Decision-making process for personnel selection under fuzzy environment. Social Sciences Research Journal, 6(3), 67–75.
[7] Joshi, S., Singh, R., & Sharma, M. (2020). Sustainable agri-food supply chain practices: Few empirical evidence from a developing economy. Global Business Review.
[8] Jovanović, D. (2021). Uticaj izbora menadžera na razvoj proizvodnog i uslužnog preduzeća. Akademski Pregled, 4(1), 1–58.
[9] Jovičić, L., Brzaković, M., & Ivanišević, N. (2018). Stečene kompetencije učenika srednjih medicinskih škola u Srbiji: Komparacija stavova učenika i mentora. Humanistika, 2(4).
[10] Konderman Ilić, Đ. (2021). Organizaciona posvećenost zaposlenih kao rezultat zadovoljstva poslom. Trendovi u Poslovanju, 9(1), 16–24.
[11] Kovačević, I., Vujičić, S., & Nikitović, Z. (2015). The influence of tourism on the unemployment in the Republic of Serbia. The Second International Conference “Higher Education in Function of Development of Tourism in Serbia and Western Balkans” (SED 2015).
[12] Liu, H. C., Qin, J. T., Mao, L. X., & Zhang, Z. Y. (2015). Personnel selection using interval 2‐tuple linguistic VIKOR method. Human Factors and Ergonomics in Manufacturing & Service Industries, 25(3), 370–384.
[13] Nedeljković, M. (2022). Criteria for sustainable supplier selection in agro-industrial complex, Western Balkan. Journal of Agricultural Economics and Rural Development (WBJAERD, 4(1), 49–64.
[14] Nikitović, Z., & Vujičić, S. (2021). Preduzetništvo. Visoka škola za poslovnu ekonomiju i preduzetništvo.
[15] Pavlović, M., Premović, J., & Simić, M. (2024). Strateški pristupi upravljanju ljudskim resursima u Pošti Srbije - Studija slučaja. Trendovi u Poslovanju, 12(1), 91–100.
[16] Perić, M., Kaličanin, M., & Kaličanin, Z. (2021). The role of digitalization in the financial sector, with reference to the banking sector. International Journal of Economics and Law, 11(32).
[17] Puška, A., & Bosna, J. (2024). Selecting social networks for direct consumer communication using multi-criteria analysis: The case of company Iceled. Proceedings of Conference, 10(2024).
[18] Puška, A., Božanić, D., Nedeljković, M., & Janošević, M. (2022). Green supplier selection in an uncertain environment in agriculture using a hybrid MCDM model: Z-numbers–Fuzzy LMAW–Fuzzy CRADIS model. Axioms, 11, 427.
[19] Puška, A., Nedeljković, M., Stojanović, I., & Božanić, D. (2023). Application of fuzzy TRUST CRADIS method for selection of sustainable suppliers in agribusiness. Sustainability, 15, 2578.
[20] Puška, A., Nedeljković, M., Zolfani, S. H., & Pamučar, D. (2021). Application of interval fuzzy logic in selecting a sustainable supplier on the example of agricultural production. Symmetry, 13, 774.
[21] Rabrenović, M., Kovačević, B., & Jelić, M. (2024). The importance of human resource management for the effectiveness of the healthcare system. International Review, 1–2, 205–214.
[22] Radović-Marković, M., Salamzadeh, A., & Vujičić, S. (2019). Selection of organization models and creation of competences of the employed people for the sake of competitiveness growth in global business environment. International Review, 1–2, 64–71.
[23] Radovic-Markovic, M., Vujičić, S., & Medić, Z. (2021). Strategic employee motivation and creating productive work. Tenth International Scientific Conference Employment, Education and Entrepreneurship, Belgrade, Serbia, October 21–23, 2021, 126–130.
[24] Rahman, K., & Muhammad, J. (2024). Enhanced decision-making through induced confidence-level complex polytopic fuzzy aggregation operators. International Journal of Knowledge and Innovation Studies, 2(1), 11–18. https://doi.org/10.56578/ijkis020102
[25] Stević, Ž., Vasiljević, M., Puška, A., Tanackov, I., Junevičius, R., & Vesković, S. (2019). Evaluation of suppliers under uncertainty: A multiphase approach based on fuzzy AHP and fuzzy EDAS. Transport, 34(1), 52–66.
[26] Tsareva, N. (2021). Employer brand and affective commitment of employees. International Review, 3–4, 137–142.