PERSONNEL SELECTION BASED ON INTEGRATED MULTI-CRITERIA DECISION MAKING TECHNIQUES

Abstract

Personnel selection is the most important process in human resources management discipline since a right selection contributes to other human resources management functions directly. An effective match indicates the quality of human resources department in an establishment. The process of selecting the most matching personnel is regarded as a ‘Multi Criteria Decision Making’ problem because of various criteria (qualitative and quantitative) for specific business positions. Hence, ‘Multi Criteria Decision Making’ techniques are very suitable to solve recruitment problems via finding the optimal candidate for a job position. This paper proposes a model that includes Decision Making Trial and Evaluation Laboratory (DEMATEL), Analytical Network Process (ANP) and Elimination and Choice Expressing the Reality (ELECTRE) tools for the first time to overcome this problem. In the first step of the methodology, network relations of the job criteria are identified by DEMATEL method. Afterwards, the network relations are used as inputs in the ANP process and the importance weights of the job criteria are obtained via ANP method. Finally, ELECTRE method is implemented to rank the applicants. In all the steps, expert opinions are utilized and the integrated methodology is implemented in a corporation to show its applicability. Therefore, this study contributes to the literature both theoretically and practically.

Keywords

• Personnel selection,DEMATEL,ANP,ELECTRE

ENTEGRE ÇOK KRİTERLİ KARAR VERME TEKNİKLERİNE DAYALI PERSONEL SEÇİMİ

Abstract

Personel seçimi, doğru bir şekilde yapıldığında, diğer insan kaynakları fonksiyonlarına da katkı sağlayan insan kaynakları yönetim disiplininin önemli bir sürecidir. Uygun personel seçimleri bir işletmenin insan kaynakları bölümünün kalitesini de göstermektedir. Belirli iş pozisyonları için yapılan personel seçimi gerek nicel gerekse de nitel ölçütler içermesinden dolayı "Çok Kriterli Karar Verme" problemi olarak değerlendirilmektedir. Bu bağlamda, "Çok Kriterli Karar Verme" teknikleri en iyi adayın belirlenmesi noktasında uygun çözümler üretebilmektedir. Bu çalışmada DEMATEL, ANP ve ELECTRE tekniklerinin ilk defa bir arada kullanıldıkları bir metot önerilmektedir. Önerilen metodun ilk adımında personel seçim ölçütleri arasındaki ağ ilişkileri DEMATEL metodu ile belirlenmektedir. Sonrasında, ağ ilişkileri ANP sürecinde girdi olarak kullanılmakta ve ölçüt önem ağırlıkları bulunmaktadır. En son olarak da ELECTRE metodu başvuran adayları sıralamak da kullanılmaktadır. Bütün adımlar da uzman görüşleri alınmış ve önerilen metodun geçerliliğinin gösterilmesi için bir işletmede uygulama yapılmıştır. Böylece, bu çalışma ile literatüre gerek teorik gerekse de pratik katkı sağlanmaktadır.

Keywords

• PERSONEL SEÇİMİ,DEMATEL,ANP,ELECTRE

References

1. Abastant, F., Bottero, M., Lami, I. M.: Using the ANP for ranking the critical issues of a transport decision problem: the Italian section of CODE24. In Proceeding of the International symposium on the Analytic Hierarchy Process (2011)
2. Afshari, A.R., Mojahed, M., Yusuff, R.M., Hong, T.S., Ismail, M.Y.: Personnel selection using ELECTRE. J. Appl. Sci. (Faisalabad). 10(23), 3068-3075 (2010)Afsharkazemi, M. A., Manouchehri, J., Salarifar, M., Nasiripour, A.A.: Key factors affecting the hospital performance: a qualitative study using fuzzy logic. Qual. Quant. 47(6), 3559-3573 (2013)
3. Akhlaghi, E.: A rough-set based approach to design an expert system for personnel selection. World Academy of science, engineering and technology. 54, 202-205 (2011)
4. Aksakal, E., Dağdeviren, M.: ANP ve DEMATEL Yöntemleri ile Personel Seçimi Problemine Bütünleşik Bir Yaklaşım. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi. 25(4), 905-913 (2010)
5. Aksakal, E., Dağdeviren, M., Eraslan, E., Yüksel, İ.: Personel selection based on talent management. Procedia-Social and Behavioral Sciences. 73, 68-72 (2013)Alper, D., Başdar, C.: A Comparison of TOPSIS and ELECTRE Methods: An Application on the Factoring Industry. Business and Economics Research Journal. 8(3), 627 (2017)
6. Ayub, M., Kabir, M.J., Alam, M.G.R.: Personnel selection method using Analytic Network Process (ANP) and fuzzy concept. In Computers and Information Technology. 2009. ICCIT'09. 12th International Conference on (pp. 373-378). IEEE. (2009)
7. Baležentis, A., Baležentis, T., Brauers, W.K.: Personnel selection based on computing with words and fuzzy MULTIMOORA. Expert Syst. Appl. 39(9), 7961-7967 (2012)
8. Bari, F., Leung, V.: Application of ELECTRE to network selection in a hetereogeneous wireless network environment. In Wireless communications and networking conference, 2007. WCNC 2007. IEEE (pp.3810-3815) (2007)

9. Benayoun, R., Roy, B., Sussman, B.: ELECTRE: Une méthode pour guider le choix en présence de points de vue multiples. Note de travail. 49, (1966)Bogdanovic, D., Miletic, S.: Personnel evaluation and selection by multicriteria decision making method. Economic computation and economic cybernetics studies and research. 48(3), 179-196 (2014)
10. Chen, F.H., Chi, D.J.: Application of a new DEMATEL to explore key factors of China’s corporate social responsibility: evidence from accounting experts. Qual. Quant. 49(1), 135-154 (2015)
11. Chen, S.M., Lee, L.W.: Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method. Expert Syst. Appl. 37(4), 2790-2798 (2010)
12. Chen, S.H., Wang, P.W., Lee, H.T.: Performance measurement considering the interdependence of evaluators and criteria. Qual. Quant. 46(1), 103-115 (2012)
13. Dağdeviren, M., Yüksel, İ.: Personnel selection using analytic network process. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi. 6(11), 99-118 (2007)
14. Doğan, A., Önder, E.: Using Multi Criteria Decision Techniques in Recruiting and Selection of Human Resources and an Application. Journal of Yasar University. 9(34), 5796-5819 (2014)
15. Dursun, M., Karsak, E.E.: A fuzzy MCDM approach for personnel selection. Expert Syst. Appl. 37(6), 4324-4330 (2010)
16. Erdem, M.B.: A Fuzzy Analytical Hierarchy Process Application in Personnel Selection in IT Companies: A Case Study in a Spin-off Company. Acta Phys. Pol. A. 130(1), 331-334 (2016)
17. Eroglu, E., Yildirim, B.F., Ozdemir, M.: Çok Kriterli Karar Vermede “ORESTE” YÖNTEMİ ve Personel Seçiminde Uygulanmasi. YÖNETİM: İstanbul Üniversitesi İşletme İktisadı Enstitüsü Dergisi. 76, 81-95 (2014)
18. Fathi, M.R., Reza, S., Javadin, S., Behrooz, A., Sadeghi, M.R.: Human resource manager selection based on logarithmic fuzzy preference programming and TOPSIS methods. International Journal of Human Resource Studies. 3(2), 14-27 (2013)
19. Gilan, S.S., Sebt, M.H., Shahhosseini, V.: Computing with words for hierarchical competency based selection of personnel in construction companies. Appl. Soft Comput. 12(2), 860-871 (2012)
20. Kabak, M., Kazançoğlu, Y.: Bulanık Analitik Hiyerarşi Yöntemiyle Öğretmen Seçimi ve Bir Uygulama. Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 14(1), 95-111 (2012)
21. Kelemenis, A., Askounis, D.: A new TOPSIS-based multi-criteria approach to personnel selection. Expert Syst. Appl. 37(7), 4999-5008 (2010)
22. Kelemenis, A., Ergazakis, K., Askounis, D.: Support managers’ selection using an extension of fuzzy TOPSIS. Expert Syst. Appl. 38(3), 2774-2782 (2011)
23. Keršulienė, V., Turskis, Z.: Integrated fuzzy multiple criteria decision making model for architect selection. Technological and Economic Development of Economy. 17(4), 645-666 (2011)
24. Keršulienė, V., Turskis, Z.: A hybrid linguistic fuzzy multiple criteria group selection of a chief accounting officer. Journal of Business Economics and Management. 15(2), 232-252 (2014)
25. Khandekar, A.V., Chakraborty, S.: Personnel selection using fuzzy axiomatic design principles. Business: Theory and Practice/Verslas: Teorija ir Praktika. 17(3), 251-260 (2016)
26. Kiakojuri, D., Shamshirband, S., Anuar, N. B., Abdullah, J.: Analysis of the social capital indicators by using DEMATEL approach: the case of Islamic Azad University. Quality & Quantity. 49(5), 1985-1995 (2015)
27. Kumar, D.S., Radhika, S., Suman, K.N.S.: MADM methods for finding the right personnel in academic institutions. International Journal of u-and e-Service, Science and Technology. 6(5), 133-144 (2013)
28. Lin, C.T., Tsai, M.C.: Location choice for direct foreign investment in new hospitals in China by using ANP and TOPSIS. Qual. Quant. 44(2), 375-390 (2010)Ozdemir, A.: A two-phase multi criteria dynamic programing approach for personnel selection process. Problems and Perspectives in Management. 11(2), 98–108 (2013)
29. Özder, E.H., Bedir, N., Eren, T.: Academic Staff Selection with ANP & PROMETHEE Method: A Case Study in Turkey. In International Academic Conference on Engineering, Technology and Innovations (IACETI), Dubai, UAE, March 5th (pp. 1-5) (2016)
30. Pang, J., Zhang, G., Chen, G.: ELECTRE I Decision Model of Reliability Design Scheme for Computer Numerical Control Machine. JSW. 6(5), 894-900 (2011)
31. Rouyendegh, B.D., Erkan, T.E.: An application of the fuzzy electre method for academic staff selection. Hum. Factor. Ergon. Man. 23(2), 107-115 (2013)
32. Roy, B., Misra, S.K., Gupta, P., Goswami, A.: An integrated DEMATEL and AHP approach for personnel estimation. International Journal of Computer Science and Information Technology & Security. 2(6), 1206-1212 (2012)
33. Saad, R.M., Ahmad, M.Z., Abu, M.S., Jusoh, M.S.: Hamming distance method with subjective and objective weights for personnel selection. Scientific World Journal. 1-9 (2014)
34. Saaty, T.L.: Fundamentals of Decision-Making and Priority Theory with the AHP. RWS Publications, Pittsburg, PA, USA (1994)
35. Saaty, T.L.: Decision making with the analytic hierarchy process. International Journal of Services Sciences. 1(1), 83-98 (2008)
36. Saaty, T.L., Vargas, L.G.: Decision Making with the Analytic Network Process. International Series in Operations Research & Management Science, 2nd edition, Springer (2013)
37. Safari, H., Cruz-Machado, V., Sarraf, A.Z., Maleki, M.: Multidimensional personnel selection through combination of TOPSIS and Hungary assignment algorithm. Management and Production Engineering Review. 5(1), 42-50 (2014)
38. Saremi, M., Mousavi, S.F., Sanayei, A.: TQM consultant selection in SMEs with TOPSIS under fuzzy environment. Expert Syst. Appl. 36(2), 2742-2749 (2009)
39. Seol, I., Sarkis, J.: A multi-attribute model for internal auditor selection. Managerial Auditing Journal. 20(8), 876-892 (2005)
40. Shahhosseini, V., Sebt, M.H.: Competency-based selection and assignment of human resources to construction projects. Sci. Iran. 18(2), 163-180 (2011)
41. Sumrit, D., Anuntavoranich, P.: Using DEMATEL method to analyze the causal relations on technological innovation capability evaluation factors in Thai technology-based firms. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies. 4(2), 81-103 (2013)
42. Tsao, C.T., Chu, C.T.: Personnel selection using an improved fuzzy MCDM algorithm. Journal of Information and Optimization Sciences. 22(3), 521-536 (2001)
43. Tunca, M.Z., Aksoy, E., Bülbül, H., Ömürbek, N.: AHP Temelli TOPSIS Ve ELECTRE Yöntemleri İle Muhasebe Paket Programı Seçimi. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 8(1), 53-71 (2015)
44. Tzeng, G.-H., Huang, J.-J.: Multiple attribute decision making: methods and application. USA: CRC Publishers (2011)
45. Wang, D.: Extension of TOPSIS method for R&D personnel selection problem with interval grey number. In Management and Service Science, 2009. MASS'09. International Conference on (pp. 1-4). IEEE. (2009)
46. Wu, H.Y., Lin, Y.K., Chang, C.H.: Performance evaluation of extension education centers in universities based on the balanced scorecard. Eval. Program Plann. 34(1), 37-50 (2011)
47. Wu, W.W., Lee, Y.T.: Developing global managers’ competencies using the fuzzy DEMATEL method. Expert Syst. Appl. 32(2), 499-507 (2007)
48. Yaakob, S.B., Kawata, S.: Workers' placement in an industrial environment. Fuzzy Set. Syst. 106(3), 289-297 (1999)
49. Yang, C.L., Yuan, B.J., Huang, C.Y.: Key determinant derivations for information technology disaster recovery site selection by the multi-criterion decision making method. Sustainability. 7(5), 6149-6188 (2015)
50. Yıldız S.M., Aksoy, S.: A Study on Personnel Selection with Analitic Hierarchy Process. AİBÜ Sosyal Bilimler Enstitüsü Dergisi. 15(1), 59-83 (2015)
51. Yu, D., Zhang, W., Xu, Y.: Group decision making under hesitant fuzzy environment with application to personnel evaluation. Knowl-Based Syst. 52, 1-10 (2013)
52. Yücel, M.G., Görener, A.: Decision making for company acquisition by ELECTRE method. International Journal of Supply Chain Management. 5(1), 75-83 (2016)
53. Zavadskas, E.K., Turskis, Z., Tamošaitiene, J., Marina, V.: Multicriteria selection of project managers by applying grey criteria. Technol. Econ. Dev. Eco. 14(4), 462-477 (2008)
54. Zhang, S.F., Liu, S.Y.: A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection. Expert Syst. Appl. 38(9), 11401-11405 (2011)