Development of A Decision Support System Algorithm for Human Resource Evaluation

Irakli Basheleishvili; Giorgi Kapanadze

doi:10.31181/dma31202542

Authors

Irakli Basheleishvili Department of Computer Technology. Faculty of Exact and Natural Sciences, Akaki Tsereteli State University, Kutaisi, Georgia https://orcid.org/0000-0002-4429-7577
Giorgi Kapanadze Department of Computer Technology. Faculty of Exact and Natural Sciences, Akaki Tsereteli State University, Kutaisi, Georgia https://orcid.org/0009-0002-8663-7012

DOI:

https://doi.org/10.31181/dma31202542

Keywords:

Human resource, Evaluation, AHP, ELECTRE, Algorithm, Decision Support System

Abstract

The study addresses a critical issue in the human resource planning process: the evaluation of human resources. The main objective is to develop a robust methodology and algorithm for human resource evaluation using multicriteria decision-making techniques. By integrating the Analytic Hierarchy Process (AHP) and ELECTRE methods, we offer a novel approach that enhances the precision and reliability of evaluations. To demonstrate the practical application and efficacy of our proposed methodology, we developed a decision support system prototype. This system serves as a proof of concept, illustrating how the methodology and algorithm can be integrated into real-world human resource planning processes.

Downloads

Download data is not yet available.

References

Bankins, S., Formosa, P., Griep, Y., & Richards, D. (2022). AI decision making with dignity? Contrasting workers’ justice perceptions of human and AI decision making in a human resource management context. Information Systems Frontiers, 24(3), 857-875. https://doi.org/10.1007/s10796-021-10223-8

Ammirato, S., Felicetti, A. M., Linzalone, R., Corvello, V., & Kumar, S. (2023). Still our most important asset: A systematic review on human resource management in the midst of the fourth industrial revolution. Journal of Innovation & Knowledge, 8(3), 100403. https://doi.org/10.1016/j.jik.2023.100403

Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., & Trichina, E. (2022). Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review. The international journal of human resource management, 33(6), 1237-1266. https://doi.org/10.1080/09585192.2020.1871398

Driscoll, P. J., Parnell, G. S., & Henderson, D. L. (Eds.). (2022). Decision making in systems engineering and management. John Wiley & Sons.

Zhai, Z., Martínez, J. F., Beltran, V., & Martínez, N. L. (2020). Decision support systems for agriculture 4.0: Survey and challenges. Computers and Electronics in Agriculture, 170, 105256. https://doi.org/10.1016/j.compag.2020.105256

Ullah, A., Hussain, S., Wasim, A., & Jahanzaib, M. (2020). Development of a decision support system for the selection of wastewater treatment technologies. Science of The Total Environment, 731, 139158. https://doi.org/10.1016/j.scitotenv.2020.139158

Thornton III, G. C. (2006). Assessment centers in human resource management: Strategies for prediction, diagnosis, and development. Psychology Press. 2006.

Figueira, J. R., Greco, S., Roy, B., & Słowiński, R. (2010). ELECTRE methods: Main features and recent developments. Handbook of multicriteria analysis, 51-89. https://doi.org/10.1007/978-3-540-92828-7_3

Munier, N., & Hontoria, E. (2021). Uses and Limitations of the AHP Method. Cham, Switzerland: Springer International Publishing.

Bohlouli, M., Mittas, N., Kakarontzas, G., Theodosiou, T., Angelis, L., & Fathi, M. (2017). Competence assessment as an expert system for human resource management: A mathematical approach. Expert Systems with Applications, 70, 83-102. https://doi.org/10.1016/j.eswa.2016.10.046

Basheleishvili, I., & Bardavelidze, A. (2018). Development of Human Resource Assessment and Selection Model for Computer System Design. International Journal of Computer (IJC), 30(1), 50-58.

Al-Harbi, K. M. A. S. (2001). Application of the AHP in project management. International journal of project management, 19(1), 19-27. https://doi.org/10.1016/S0263-7863(99)00038-1

Greco, S., Figueira, J., & Ehrgott, M. (2016). Multiple criteria decision analysis (Vol. 37). New York: springer. https://doi.org/10.1007/978-1-4939-3094-4

Basheleishvili, I. (2020). Developing the expert decision-making algorithm using the methods of multi-criteria analysis. Cybernetics and Information Technologies, 20(2), 22-29.

Basheleishvili, I., & Bardavelidze, A. (2021). Design and Development of a Group Decision Support System for the Evaluation and Selection of Research Projects. Engineering, Technology & Applied Science Research, 11(6), 7881-7886. https://doi.org/10.48084/etasr.4557

Basheleishvili, İ., Bardavelidze, A., & Tsiramua, S. (2019). The development of a model for decision support system of assessment and selection of university academic staff. Journal of Intelligent Systems: Theory and Applications, 2(2), 18-23. https://doi.org/10.38016/jista.538991

Basheleishvili, I. (2017). The Algorithm of Selection and Functions Distribution of Multifunctional Personnel-Case when the Number of Functions is Greater than the Number of Personnel. Journal of Technical Science and Technologies, 6(2), 23-26.

Basheleishvili, I. (2018). Development of Method of Multifunctional Personnel Assessment Using a TOPSIS Method. Journal of Technical Science and Technologies, 7(1), 31-36. https://doi.org/10.31578/jtst.v7i1.137

Chakraborty, A. R., & Mansor, N. N. A. (2013). Adoption of human resource information system: A theoretical analysis. Procedia-Social and Behavioral Sciences, 75, 473-478. https://doi.org/10.1016/j.sbspro.2013.04.051