A Multi-Criteria Decision Method for the Recruitment of Academic Personnel Based on the Analytical Hierarchy Process and the Delphi Method in a Neutrosophic Environment
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A Multi-Criteria Decision Method for the Recruitment of Academic Personnel Based on the Analytical Hierarchy Process and the Delphi Method in a Neutrosophic Environment

Authors: Antonios Paraskevas, Michael Madas

Abstract:

For a university to maintain its international competitiveness in education, it is essential to recruit qualitative academic staff as it constitutes its most valuable asset. This selection demonstrates a significant role in achieving strategic objectives, particularly by emphasizing a firm commitment to exceptional student experience and innovative teaching and learning practices of high quality. In this vein, the appropriate selection of academic staff establishes a very important factor of competitiveness, efficiency and reputation of an academic institute. Within this framework, our work demonstrates a comprehensive methodological concept that emphasizes on the multi-criteria nature of the problem and on how decision makers could utilize our approach in order to proceed to the appropriate judgment. The conceptual framework introduced in this paper is built upon a hybrid neutrosophic method based on the Neutrosophic Analytical Hierarchy Process (N-AHP), which uses the theory of neutrosophy sets and is considered suitable in terms of significant degree of ambiguity and indeterminacy observed in decision-making process. To this end, our framework extends the N-AHP by incorporating the Neutrosophic Delphi Method (N-DM). By applying the N-DM, we can take into consideration the importance of each decision-maker and their preferences per evaluation criterion. To the best of our knowledge, the proposed model stands out within the realm of related literature as one of the few studies to employ N-DM in the context of academic staff selection. As a case study, it was decided to use our method to a real problem of academic personnel selection, having as main goal to enhance the algorithm proposed in previous scholars’ work, and thus taking care of the inherit ineffectiveness which becomes apparent in traditional multi-criteria decision-making methods when dealing with situations alike. As a further result, we prove that our method demonstrates greater applicability and reliability when compared to other decision models.

Keywords: Analytical Hierarchy Process, Delphi Method, Multi-criteria decision making methods, neutrosophic set theory, personnel recruitment.

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References:


[1] Balezentis, A., Balezentis, T.B., & Brauers, W.K.M. 2012. Personnel selection based on computing with words and fuzzy MULTIMOORA, Expert Syst. Appl., vol. 39, no. 9, pp. 7961-7967.
[2] Smarandache, F. 1999. A unifying field in Logics: Neutrosophic Logic. In Philosophy (pp. 1-141). American Research Press.
[3] Rivieccio, U., 2008. Neutrosophic logics: prospects and problems, Fuzzy Sets Syst., vol. 159, no14.
[4] Wang, H., Smarandache, F., Sunderraman R., Zhang Y.Q,. 2005. Interval neutrosophic sets and logic: theory and applications in computing: theory and applications in computing, Infinite Study, vol. 5.
[5] Wang, H., Smarandache F., Zhang Y., Sunderraman R., 2010. Single valued neutrosophic sets, Multisp Multistruct, vol.4, pp.410–413.
[6] Robertson, I.T, & Smith, M., 2001. Personnel selection. Journal of Occupational and Organizational Psychology, 74(4): 441-472.
[7] Chien, C.F, & Chen, L.F., 2008. Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry, Expert Systems with Applications, 34(1):280-290.
[8] Canos L, & Liern V., 2008. Soft computing-based aggregation methods for human resource management. European Journal of Operational Research, 189(3):669–681.
[9] Mehrabad, M.S., and Brojeny, M.F., 2007. The development of an expert system for effective selection and appointment of the jobs applicants in human resource management. Comput. Ind. Eng., vol. 53, no. 2, pp. 306-312.
[10] Shih, H.S., Huang, L.C., & Shyur, H.J., 2005. Recruitment and selection processes through an effective GDSS. Comput. Math. Appl., vol. 50, nos. 10-12, pp. 1543-1558.
[11] Opricovic, S., & Tzeng, G.H., 2004. Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. Eur. J. Oper. Res., vol. 156, no. 2, pp. 445-455.
[12] Saaty, T.L., 1990. Multi-criteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. 2nd ed. Pittsburgh, PA, USA: RWS.
[13] Karsak, E.E., 2001. Personnel selection using a fuzzy MCDM approach based on ideal and anti-ideal solutions, in Multiple Criteria Decision Making in the New Millennium (Lecture Notes in Economics and Mathematical Systems). Berlin, Germany: Springer, pp. 393-402. doi: 10.1007/978-3-642-56680-6_36.
[14] Ayub, M., Kabir, J., & Alam, G.R., 2009. Personnel selection method using analytic network process (ANP) and fuzzy concept. In Proc. 12th Int. Conf. Comput. Inf. Technol., Dhaka, Bangladesh, pp. 373-378
[15] Abdel-Basset, M., Gunasekaran, M., Mohamed, M., & Chilamkurti, N., 2019. A framework for risk assessment, management and evaluation: Economic tool for quantifying risks in supply chain. Future Gener. Comput. Syst., vol. 90, pp. 489-502.
[16] Radwan, N.M., Senousy, M.B., Riad., A.E.D.M., 2016. Neutrosophic AHP Multi-Criteria Decision Making Method Applied on the Selection of Learning Management System. International Journal of Advancements in Computing Technology, vol. 8, no 5, pp.95-105.
[17] Mohamed Abdel-Basset, M., Mohamed, M. & Sangaiah, A.K., 2018. Neutrosophic AHP-Delphi Group decision making model based on trapezoidal neutrosophic numbers. J Ambient Intell Human Comput., vol. 9, no 5. doi: 10.1007/s12652-017-0548-7.
[18] Abdel-Basset Μ., Mohamed, M., Zhou, Y., & Hezam, I., 2017. Multi-criteria group decision making based on neutrosophic analytic hierarchy process. Journal of Intelligent & Fuzzy Systems, vol.33, pp. 4055-4066.
[19] Miller, L.E., 2006. Determining what could/should be: the Delphi technique and its application. In: Meeting of the 2006 annual meeting of the Mid-Western Educational Research Association, Columbus.
[20] Liu, W.K., 2013. Application of the fuzzy Delphi Method and the fuzzy analytic hierarchy process for the managerial competence of multinational corporation executives. Int J e-Educ e-Bus e-Manag e-Learn, vol. 3, no 4, pp.313.
[21] Paraskevas, A., Zagoris, K., & Chatzichristofis, S., 2022. An intelligent decision support model for staff selection based on the application of the Fuzzy Delphi Method and the Fuzzy Analytical Hierarchical Process. In 13th International Conference on Information, Intelligence, Systems & Applications (IISA), Corfu, Greece, pp. 1-9, IEEE.
[22] Falcón, V.V, Martínez, B.S, & Sánchez, F.C., 2020. Experts’ Selection for Neutrosophic Delphi Method. A Case Study of Hotel Activity. Infinite Study, Vol. 37.
[23] Chen, J., Xue, K., Ye, J., Huang, T., Tian, Y., Hua, C., & Zhu, Y. (2019). Simplified neutrosophic exponential similarity measures for evaluation of smart port development. Symmetry, 11(4), 485.
[24] Radwan, N.M., Senousy, M.B., Riad., A.E.D.M., 2016. Neutrosophic AHP Multi-Criteria Decision Making Method Applied on the Selection of Learning Management System. International Journal of Advancements in Computing Technology, vol. 8, no 5, pp.95-105.
[25] Ye, J., 2014. A multi-criteria decision-making method using aggregation operators for simplified neutrosophic sets. J Intell Fuzzy Syst, vol. 26, pp.2459–2466.
[26] Abdel-Basset Μ., Mohamed, M., Zhou, Y., & Hezam, I., 2017. Multi-criteria group decision making based on neutrosophic analytic hierarchy process. Journal of Intelligent & Fuzzy Systems, vol.33, pp. 4055-4066.
[27] Saaty, T., 2006. Decision Making with the Analytic Network Process. Saaty, T., Vargas, L., NY: Springer.
[28] Mohamed Abdel-Basset, M., Mohamed, M. & Sangaiah, A.K., 2018. Neutrosophic AHP-Delphi Group decision making model based on trapezoidal neutrosophic numbers. J Ambient Intell Human Comput., vol. 9, no 5. doi: 10.1007/s12652-017-0548-7.
[29] Wald, A., 1950. Statistical Decision Functions. NY: John Wiley.
[30] Nushi, M., Momeni, A., & Roshanbin, M., 2022. Characteristics of an Effective University Professor from Students’ Perspective: Are the Qualities Changing? Front. Educ. 7:842640. doi: 10.3389/feduc.2022.842640.
[31] Herman, R. L., 2011. Letter from the editor-in-chief: What makes an excellent professor?, J. Eff. Teach, vol.11, no1, pp.1-5.