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CODAS ve PSI Yöntemleri İle Personel Değerlendirmesi

Year 2018, Volume 6, Issue 2, 2018, 243 - 256, 31.12.2018
https://doi.org/10.17093/alphanumeric.432843

Abstract

Personel değerlendirmesi, personel ile ilgili seçim kararlarına ilişkin bilgileri ifade eder. Bu seçim; işe alma, yerleştirme, terfi etme, yönlendirme, elde tutma gibi kararları içerip bunlarla sınırlı değildir. Nitelikli başvuru sahiplerinin seçilmesi, yetenekli ve kararlı bir işgücünün oluşturulmasında, etkin bir organizasyon kültürünün desteklenmesinde ve organizasyonun genel performansını geliştirmede kritik bir adımdır. Bu çalışmada, Denizli\'de bir tekstil firması için personel seçim problemine Çok Kriterli Karar Verme (ÇKKV) yöntemlerinden CRITIC (CRiteria Importance Through Intercriteria Correlation), PSI (Preference Selection Index) ve CODAS (COmbinative Distance-based Assessment) yöntemleri uygulanmıştır. Personel değerlendirme kriterlerinin ağırlıkları, CRITIC yöntemi ile hesaplanmış, CODAS yöntemine aktarılmış ve adaylara ilişkin bir sıralama elde edilmiştir. Ayrıca adaylar, PSI yöntemine göre de sıralanmıştır.

References

  • KAYNAKÇAAfshari, A., Majid, M. & Rosnah, M.Y. (2010). Simple additive weighting approach to personnel selection problem. International Journal of Innovation, Management and Technology,1(5), 511-515. Aksakal, E., Dağdeviren, M., Eraslan, E.,& Yüksel, İ. (2013). Personel selection based on talent management. Procedia - Social and Behavioral Sciences, 73, 68 – 72. Akyüz, G. & Aka, S. (2015). Imalat Performansi Ölçümü için Alternatif Bir Yaklasim: Tercih Indeksi (PSI) Yöntemi. Business and Economics Research Journal, 6(1), 63-77.Akyüz, G. & Aka, S. (2017). Çok krı̇terlı̇ karar verme teknı̇klerı̇yle tedarı̇kçı̇ performansı değerlendı̇rmede toplamsal bı̇r yaklaşım. Yönetim ve Ekonomi Araştırmaları Dergisi, 15 (2), 28-46.Alemiardakani, M. (2014). Enhancing Impact Characterization and Multi-Criteria Design Optimization of Glass Fiber Reinforced Polypropylene Laminates (Doctor of Philosophy), The University of British Columbia, Canada.Alguliyev, R.M., Aliguliyev, R.M., & Mahmudova, R.S. (2015). Multicriteria personnel selection by the modified fuzzy VIKOR method.The Scientific World Journal, 2015, 1-16. Attri, R. & Grover, S. (2015). Application of preference selection index method for decision making over the design stage of production system life cycle. Journal of King Saud University-Engineering Sciences, 27(2), 207-216.Aytaç Adalı, E. &, Tuş Işık, A. (2017). CRITIC and MAUT Methods for the Contract Manufacturer Selection Problem, European Journal of Multidisciplinary Studies, 5(1), 93-101.Aznar Bellver, J., Cervelló, R.R. & García, G.F. (2011). Spanish savings banks and their future transformation into private capital banks. determining their value by a multicriteria valuation methodology. European Journal of Economics, Finance and Administrative Sciences, 35, 155-164.Baležentis, A., Baležentis, T., & Brauers, W.K.M. (2012). MULTIMOORA-FG: A multi-objective decision making method for linguistic reasoning with an application to personnel selection. Informatica, 23(2), 173-190. Boran, F.E., Genç, S., & Akay, D. (2011). Personnel selection based on ıntuitionistic fuzzy sets. Human Factors and Ergonomics in Manufacturing & Service Industries, 21 (5), 493–503. Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114 (1), 1-9.Çakır, S. & Perçin, S. (2013). Çok kriterli karar verme teknikleriyle lojistik firmalarinda performans ölçümü. Ege Akademik Bakış, 13(4), 449-459.Dağdeviren, M. (2010). A hybrid multi-criteria decision-making model for personnel selection in manufacturing systems. Journal of Intelligent Manufacturing, 21(4), 451-460. Dereli, T., Durmuşoğlu A., Seçkiner S.U. & Avlanmaz, N. (2010). A fuzzy approach for personnel selection process. Turkish Journal of Fuzzy Systems, 1(2), 126-140. Diakoulaki, D., Mavrotas, G., Papayannakis, L.(1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers Ops Res., 22(7), 763-770.Dursun, M., & Karsak, E. E. (2010). A fuzzy MCDM approach for personnel selection. Expert Systems with Applications, 37(6), 4324-4330.El-Santawy, M.F. (2012). A VIKOR method for solving personnel training selection problem. International Journal of Computing Science, 1(2), 9-12. Erokutan, B. (2016). Mavi yakalı personel seçiminde çok kriterli karar verme yöntemlerinin kullanılması ve bir uygulama (Doctoral dissertation).Fathi, M.R., Matin, H.Z., Zarchi, M.K., & Azizollahi, S.(2011). The application of fuzzy TOPSIS approach to personnel selection for Padir Company, Iran. Journal of Management Research, 3 (2), 1-14.Ghorabaee, M. K., Amiri, M., Zavadskas, E. K., Hooshmand, R., & Antuchevičienė, J. (2017). Fuzzy extension of the CODAS method for multi-criteria market segment evaluation. Journal of Business Economics and Management, 18(1), 1-19.Guo, C., Wang, Y. & Jiang, W. (2013). An empirical study of evaluation index system and measure method on city’s soft power: 17 cities in Shandong province. Cross-Cultural Communication, 9(6), 27-31.Güngör, Z., Serhadlıoğlu, G., & Kesen, S. E. (2009). A fuzzy AHP approach to personnel selection problem.Applied Soft Computing, 9 (2), 641-646.Iris, L.S. (2014). Evaluation of sustainbility index for urban water management system in Macau. Bachelor of Science Civil Enginering, University of Macau,China.Kabak, M. (2013). A Fuzzy DEMATEL-ANP based multi criteria decision making approach for personnel selection. Journal of Multiple-Valued Logic & Soft Computing, 20 (5/6), 571-593. Kazan, H. & Ozdemir, O. (2014). Financial performance assessment of large scale conglomerates via TOPSIS and CRITIC methods. International Journal of Management and Sustainability, 3(4), 203-224.Kelemenis, A., & Askounis, D. (2010). A new TOPSIS-based multi-criteria approach to personnel selection. Expert Systems with Applications, 37(7), 4999-5008.Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation & Economic Cybernetics Studies & Research, 50(3), 25-44.Kim, J. & Yu, K. (2015). Areal feature matching based on similarity using CRITIC method. Joint International Geoinformation Conference, 28–30 October, Kuala Lumpur, Malaysia, 75-78. Liang, G. S., & Wang, M. J. J. (1994). Personnel selection using fuzzy MCDM algorithm. European Journal of Operational Research, 78(1), 22-33.Lin, H. T. (2010). Personnel selection using analytic network process and fuzzy data envelopment analysis approaches. Computers & Industrial Engineering, 59(4), 937-944.Liu, D. & Zhao, X. (2013). Method and application for dynamic comprehensive evaluation with subjective and objective information. PLoS ONE, 8(12), 1-5.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.Lu, C., Li, L. & Wu, D. (2015). Application of combination weighting method to weight calculation in performance evaluation of ICT. 15th International Conference on Advanced Learning Technologies, 258-259.Madic, M. & Radovanović, M. (2015). Ranking of some most commonly used nontraditional machining processes using ROV and CRITIC methods. U.P.B. Sci. Bull., Series D, 77(2), 193-204.Madić, M., Antucheviciene, J., Radovanović, M., & Petković, D. (2017). Determination of laser cutting process conditions using the preference selection index method. Optics & Laser Technology, 89, 214-220.Maniya, K. & Bhatt, M. G. (2010). A selection of material using a novel type decision-making method: Preference selection index method. Materials & Design, 31(4), 1785-1789.Mathew, M., & Sahu, S. (2018). Comparison of new multi-criteria decision making methods for material handling equipment selection. Management Science Letters, 8(3), 139-150.Mesran, K. T., Sianturi, R. D., Waruwu, F. T., & Siahaan, A. P. U. (2017). Determination of Education Scholarship Recipients Using Preference Selection Index. International Journal of Scientific Research in Science and Technology, 3(6), 230-234.Milić, M.R. & Goran, Z.Z. (2012). Objektivni pristup određivanju težına krıterıjuma (An objective approach to determining criteria weights). Vojnotehnıčkı glasnık/mılıtary technıcal courıer, 60(1), 39-56.Nasab, F.G. & Rostamy-Malkhalifeh, M. (2010). Extension of TOPSIS for group decision making based on the type-2 fuzzy positive and negative ideal solutions. International Industrial Mathematics, 2(3), 199-213. Petković, D., Madić, M., Radovanović, M., & Gečevska, V. (2017). Application of the performance selection index method for solving machining MCDM problems. Facta Universitatis, Series: Mechanical Engineering, 15(1), 97-106.Saghafian, S. & Hejazi S.R. (2005). Multi-criteria group decision making using a modified fuzzy TOPSIS procedure. Proceedings of the 2005 International Conference on Computational Intelligence for Modelling, Control, 215-221.Senger, Ö., & Albayrak, Ö. K. (2016). GRİ İlişki Analizi Yöntemi ile Personel Değerlendirme. Uluslararası İktisadi ve İdari İncelemeler Dergisi, (17), 235-258.Tsao C.T. & Chu, C.T. (2001). Personnel selection using an improved fuzzy MCDM algorithm. Journal of Information and Optimization Sciences, 22(3), 521-536. Turskis, Z., Ker Ulienė, V., & Vinogradova, I. (2017). A new fuzzy hybrid multi-criteria decision-making approach to solve personnel assessment problems. case study: director selection for estates and economy office. Economic Computation & Economic Cybernetics Studies & Research, 51(3), 211-229.Ulutaş, A., Özkan, A. M., & Tağraf, H. (2018). Bulanık Analitik Hiyerarşi Süreci ve Bulanık Gri İlişkisel Analizi Yöntemleri Kullanılarak Personel Seçimi Yapılması. Electronic Journal of Social Sciences, 17(65), 223-232.Urosevic, S., Karabasevic, D., Stanujkic, D., & Maksimovic, M. (2017). An Approach to Personnel Selection in The Tourism Industry Based on The SWARA and the WASPAS Methods. Economic Computation & Economic Cybernetics Studies & Research, 51(1), 75-88.Vahdani, B., Mousavi, S. M., & Ebrahimnejad, S. (2014). Soft computing-based preference selection index method for human resource management. Journal of Intelligent & Fuzzy Systems, 26(1), 393-403.Yılmaz, B., Harmancıoğlu, N. B.(2010). Multi-criteria decision making for water resource management: a case study of the Gediz River Basin, Turkey. Water SA, 36(5), 563-576.Zhang, S. F., & Liu, S. Y. (2011). A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection. Expert Systems with Applications, 38(9), 11401-11405.

Personnel Assessment with CODAS and PSI Methods

Year 2018, Volume 6, Issue 2, 2018, 243 - 256, 31.12.2018
https://doi.org/10.17093/alphanumeric.432843

Abstract

Personnel assessment refers to any method of collecting information on individuals for the purpose of making a selection decision. Selection decisions include, but are not limited to, hiring, placement, promotion, referral and retention. Selecting qualified applicants is a critical step in building a talented and committed workforce, supporting an effective organizational culture, and enhancing the overall performance of the organization. In this paper three Multi Criteria Decision Making (MCDM) methods, CRITIC (CRiteria Importance Through Intercriteria Correlation), PSI (Preference Selection Index) and CODAS (COmbinative Distance-based Assessment), are applied to the personnel selection problem for a textile firm in Denizli. The weights of personnel assessment criteria are derived from CRITIC method and transferred to CODAS method. The ranking of alternatives are obtained from CODAS and PSI methods.

References

  • KAYNAKÇAAfshari, A., Majid, M. & Rosnah, M.Y. (2010). Simple additive weighting approach to personnel selection problem. International Journal of Innovation, Management and Technology,1(5), 511-515. Aksakal, E., Dağdeviren, M., Eraslan, E.,& Yüksel, İ. (2013). Personel selection based on talent management. Procedia - Social and Behavioral Sciences, 73, 68 – 72. Akyüz, G. & Aka, S. (2015). Imalat Performansi Ölçümü için Alternatif Bir Yaklasim: Tercih Indeksi (PSI) Yöntemi. Business and Economics Research Journal, 6(1), 63-77.Akyüz, G. & Aka, S. (2017). Çok krı̇terlı̇ karar verme teknı̇klerı̇yle tedarı̇kçı̇ performansı değerlendı̇rmede toplamsal bı̇r yaklaşım. Yönetim ve Ekonomi Araştırmaları Dergisi, 15 (2), 28-46.Alemiardakani, M. (2014). Enhancing Impact Characterization and Multi-Criteria Design Optimization of Glass Fiber Reinforced Polypropylene Laminates (Doctor of Philosophy), The University of British Columbia, Canada.Alguliyev, R.M., Aliguliyev, R.M., & Mahmudova, R.S. (2015). Multicriteria personnel selection by the modified fuzzy VIKOR method.The Scientific World Journal, 2015, 1-16. Attri, R. & Grover, S. (2015). Application of preference selection index method for decision making over the design stage of production system life cycle. Journal of King Saud University-Engineering Sciences, 27(2), 207-216.Aytaç Adalı, E. &, Tuş Işık, A. (2017). CRITIC and MAUT Methods for the Contract Manufacturer Selection Problem, European Journal of Multidisciplinary Studies, 5(1), 93-101.Aznar Bellver, J., Cervelló, R.R. & García, G.F. (2011). Spanish savings banks and their future transformation into private capital banks. determining their value by a multicriteria valuation methodology. European Journal of Economics, Finance and Administrative Sciences, 35, 155-164.Baležentis, A., Baležentis, T., & Brauers, W.K.M. (2012). MULTIMOORA-FG: A multi-objective decision making method for linguistic reasoning with an application to personnel selection. Informatica, 23(2), 173-190. Boran, F.E., Genç, S., & Akay, D. (2011). Personnel selection based on ıntuitionistic fuzzy sets. Human Factors and Ergonomics in Manufacturing & Service Industries, 21 (5), 493–503. Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114 (1), 1-9.Çakır, S. & Perçin, S. (2013). Çok kriterli karar verme teknikleriyle lojistik firmalarinda performans ölçümü. Ege Akademik Bakış, 13(4), 449-459.Dağdeviren, M. (2010). A hybrid multi-criteria decision-making model for personnel selection in manufacturing systems. Journal of Intelligent Manufacturing, 21(4), 451-460. Dereli, T., Durmuşoğlu A., Seçkiner S.U. & Avlanmaz, N. (2010). A fuzzy approach for personnel selection process. Turkish Journal of Fuzzy Systems, 1(2), 126-140. Diakoulaki, D., Mavrotas, G., Papayannakis, L.(1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers Ops Res., 22(7), 763-770.Dursun, M., & Karsak, E. E. (2010). A fuzzy MCDM approach for personnel selection. Expert Systems with Applications, 37(6), 4324-4330.El-Santawy, M.F. (2012). A VIKOR method for solving personnel training selection problem. International Journal of Computing Science, 1(2), 9-12. Erokutan, B. (2016). Mavi yakalı personel seçiminde çok kriterli karar verme yöntemlerinin kullanılması ve bir uygulama (Doctoral dissertation).Fathi, M.R., Matin, H.Z., Zarchi, M.K., & Azizollahi, S.(2011). The application of fuzzy TOPSIS approach to personnel selection for Padir Company, Iran. Journal of Management Research, 3 (2), 1-14.Ghorabaee, M. K., Amiri, M., Zavadskas, E. K., Hooshmand, R., & Antuchevičienė, J. (2017). Fuzzy extension of the CODAS method for multi-criteria market segment evaluation. Journal of Business Economics and Management, 18(1), 1-19.Guo, C., Wang, Y. & Jiang, W. (2013). An empirical study of evaluation index system and measure method on city’s soft power: 17 cities in Shandong province. Cross-Cultural Communication, 9(6), 27-31.Güngör, Z., Serhadlıoğlu, G., & Kesen, S. E. (2009). A fuzzy AHP approach to personnel selection problem.Applied Soft Computing, 9 (2), 641-646.Iris, L.S. (2014). Evaluation of sustainbility index for urban water management system in Macau. Bachelor of Science Civil Enginering, University of Macau,China.Kabak, M. (2013). A Fuzzy DEMATEL-ANP based multi criteria decision making approach for personnel selection. Journal of Multiple-Valued Logic & Soft Computing, 20 (5/6), 571-593. Kazan, H. & Ozdemir, O. (2014). Financial performance assessment of large scale conglomerates via TOPSIS and CRITIC methods. International Journal of Management and Sustainability, 3(4), 203-224.Kelemenis, A., & Askounis, D. (2010). A new TOPSIS-based multi-criteria approach to personnel selection. Expert Systems with Applications, 37(7), 4999-5008.Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation & Economic Cybernetics Studies & Research, 50(3), 25-44.Kim, J. & Yu, K. (2015). Areal feature matching based on similarity using CRITIC method. Joint International Geoinformation Conference, 28–30 October, Kuala Lumpur, Malaysia, 75-78. Liang, G. S., & Wang, M. J. J. (1994). Personnel selection using fuzzy MCDM algorithm. European Journal of Operational Research, 78(1), 22-33.Lin, H. T. (2010). Personnel selection using analytic network process and fuzzy data envelopment analysis approaches. Computers & Industrial Engineering, 59(4), 937-944.Liu, D. & Zhao, X. (2013). Method and application for dynamic comprehensive evaluation with subjective and objective information. PLoS ONE, 8(12), 1-5.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.Lu, C., Li, L. & Wu, D. (2015). Application of combination weighting method to weight calculation in performance evaluation of ICT. 15th International Conference on Advanced Learning Technologies, 258-259.Madic, M. & Radovanović, M. (2015). Ranking of some most commonly used nontraditional machining processes using ROV and CRITIC methods. U.P.B. Sci. Bull., Series D, 77(2), 193-204.Madić, M., Antucheviciene, J., Radovanović, M., & Petković, D. (2017). Determination of laser cutting process conditions using the preference selection index method. Optics & Laser Technology, 89, 214-220.Maniya, K. & Bhatt, M. G. (2010). A selection of material using a novel type decision-making method: Preference selection index method. Materials & Design, 31(4), 1785-1789.Mathew, M., & Sahu, S. (2018). Comparison of new multi-criteria decision making methods for material handling equipment selection. Management Science Letters, 8(3), 139-150.Mesran, K. T., Sianturi, R. D., Waruwu, F. T., & Siahaan, A. P. U. (2017). Determination of Education Scholarship Recipients Using Preference Selection Index. International Journal of Scientific Research in Science and Technology, 3(6), 230-234.Milić, M.R. & Goran, Z.Z. (2012). Objektivni pristup određivanju težına krıterıjuma (An objective approach to determining criteria weights). Vojnotehnıčkı glasnık/mılıtary technıcal courıer, 60(1), 39-56.Nasab, F.G. & Rostamy-Malkhalifeh, M. (2010). Extension of TOPSIS for group decision making based on the type-2 fuzzy positive and negative ideal solutions. International Industrial Mathematics, 2(3), 199-213. Petković, D., Madić, M., Radovanović, M., & Gečevska, V. (2017). Application of the performance selection index method for solving machining MCDM problems. Facta Universitatis, Series: Mechanical Engineering, 15(1), 97-106.Saghafian, S. & Hejazi S.R. (2005). Multi-criteria group decision making using a modified fuzzy TOPSIS procedure. Proceedings of the 2005 International Conference on Computational Intelligence for Modelling, Control, 215-221.Senger, Ö., & Albayrak, Ö. K. (2016). GRİ İlişki Analizi Yöntemi ile Personel Değerlendirme. Uluslararası İktisadi ve İdari İncelemeler Dergisi, (17), 235-258.Tsao C.T. & Chu, C.T. (2001). Personnel selection using an improved fuzzy MCDM algorithm. Journal of Information and Optimization Sciences, 22(3), 521-536. Turskis, Z., Ker Ulienė, V., & Vinogradova, I. (2017). A new fuzzy hybrid multi-criteria decision-making approach to solve personnel assessment problems. case study: director selection for estates and economy office. Economic Computation & Economic Cybernetics Studies & Research, 51(3), 211-229.Ulutaş, A., Özkan, A. M., & Tağraf, H. (2018). Bulanık Analitik Hiyerarşi Süreci ve Bulanık Gri İlişkisel Analizi Yöntemleri Kullanılarak Personel Seçimi Yapılması. Electronic Journal of Social Sciences, 17(65), 223-232.Urosevic, S., Karabasevic, D., Stanujkic, D., & Maksimovic, M. (2017). An Approach to Personnel Selection in The Tourism Industry Based on The SWARA and the WASPAS Methods. Economic Computation & Economic Cybernetics Studies & Research, 51(1), 75-88.Vahdani, B., Mousavi, S. M., & Ebrahimnejad, S. (2014). Soft computing-based preference selection index method for human resource management. Journal of Intelligent & Fuzzy Systems, 26(1), 393-403.Yılmaz, B., Harmancıoğlu, N. B.(2010). Multi-criteria decision making for water resource management: a case study of the Gediz River Basin, Turkey. Water SA, 36(5), 563-576.Zhang, S. F., & Liu, S. Y. (2011). A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection. Expert Systems with Applications, 38(9), 11401-11405.
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Details

Primary Language Turkish
Journal Section Articles
Authors

Ayşegül Tuş 0000-0003-1583-0616

Esra Aytaç Adalı 0000-0002-8836-9878

Publication Date December 31, 2018
Submission Date June 11, 2018
Published in Issue Year 2018 Volume 6, Issue 2, 2018

Cite

APA Tuş, A., & Aytaç Adalı, E. (2018). CODAS ve PSI Yöntemleri İle Personel Değerlendirmesi. Alphanumeric Journal, 6(2), 243-256. https://doi.org/10.17093/alphanumeric.432843

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