SAVUNMA TEDARİK SÜRECİNDE ÇALIŞANLARDA ETKİLİ KRİTERLERİN ÖNEMLİLİK DÜZEYİNİN BULANIK DEMATEL YÖNTEMLERİYLE BELİRLENMESİ

Öz

Günümüz küresel rekabet ortamında, sektör yöneticileri her geçen gün çeşitli sorunlarla karşı karşıya kalmaktadır. Bu sorunlardan biri de bir organizasyonun en önemli unsuru olan personelin nitelik ve nicelik olarak işe ve işyerine uygun seçilmesidir. İşe alım süreci, seçimi yapacak uzman grubunun belirlenmesi, değerlendirmede kullanılacak kriterlerin belirlenmesi ve kriterleri değerlendirerek karar verilmesi aşamalarından oluşmaktadır. Bu süreçteki en önemli adım sektörün ihtiyaçları doğrultusunda kriterlerin belirlenmesidir. Bu durum savunma sanayi gibi uzun vadeli ve stratejik özelliklere sahip sektörler için daha özel hale gelmektedir. Bu çalışmada, savunma sektörünün temel taşlarından biri olan savunma tedarik personeli için grup karar verme yöntemi ile seçim kriterlerinin belirlenmesi ve kriterlerin birbirleri ile etkileşiminin incelenmesi amaçlanmıştır. Uzmanların kriterlere ilişkin karşılaştırmaları, işçi sınıfı (beyaz, mavi, gri vb.) ayrımı yapılmadan Çok Kriterli Karar Verme (ÇKKV) yöntemi ile yapılmıştır. Bulanık DEMATEL (Karar Verme Deneme ve Değerlendirme Laboratuvarı) yöntemi, savunma edinim süreci için belirlenen kriterlere ilişkin uzman görüşlerinin sübjektif ifadelerle yapılması ve literatürde çeşitli alanlarda kriter analizinde kullanılması nedeniyle çalışmada kullanılmıştır.

Anahtar Kelimeler

• Çalışan Seçimi
• Savunma Tedarik Süreci
• ÇKKV
• Fuzzy DEMATEL
• Personnel Selection
• Defense Acquisition Process
• MCDM

DETERMINING THE IMPORTANCE LEVEL OF EFFECTIVE CRITERIA IN THE EMPLOYEES IN THE DEFENSE ACQUISITION PROCESS VIA FUZZY DEMATEL METHODS

Öz

Today's global competitive environment, sector managers are faced with various problems day by day. One of these problems is the selection of the personnel, which is the most important element of an organization, in accordance with the job and workplace in terms of quality and quantity. The recruitment process consists of the stages of determining the expert group that will make the selection, determining the criteria to be used in the evaluation, and making a decision by evaluating the criteria. The most important step in this process is to determine the criteria in line with the needs of the sector. This situation becomes more special for sectors with long-term and strategic features such as the defense industry. In this study, the determination of the selection criteria with the group decision-making method for the defense acquisition personnel, which is one of the keystones of the defense sector, and the examination of the interaction of the criteria with each other. Comparisons of the experts on the criteria were made with Multi-Criteria Decision Making (MCDM) method without discrimination of the working class (white, blue, gray, etc). The fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) method was used in the study, since the expert opinions on the criteria determined for the defense acquisition process are made with subjective expressions and it is used in the criteria analysis in various fields in the literature.

Anahtar Kelimeler

• Çalışan Seçimi
• Savunma Tedarik Süreci
• ÇKKV
• Fuzzy DEMATEL
• Personnel Selection
• Defense Acquisition Process
• MCDM

Kaynakça

1. Acikgoz, Y. (2019). Employee recruitment and job search: Towards a multi-level integration. Human Resource Management Review, 29(1), 1-13. https://doi.org/10.1016/j.hrmr.2018.02.009
2. Aguado, D., Rico, R., Rubio, V. J., & Fernández, L. (2016). Applicant reactions to social network web use in personnel selection and assessment. Revista de Psicología del Trabajo y de las Organizaciones, 32(3), 183-190. https://doi.org/10.1016/j.rpto.2016.09.001
3. Altunok,T., Korkmazyürek. H., Sığrı, Ü. ve Hazır, K. (2010). Stratejik Savunma Yönetimi: Yeni Perspektifler/Yeni Yaklaşımlar. Bizim Büro Yayınları.
4. Baležentis, A., Baležentis, T., & Brauers, W. K. (2012). Personnel selection based on computing with words and fuzzy MULTIMOORA. Expert Systems With Applications, 39(9), 7961-7967. https://doi.org/10.1016/j.eswa.2012.01.100
5. Bankston, B., & Key, T. (2006, March). White paper on capabilities based planning. In Military Operations Research Society’s Capabilities-based Planning II Workshop: Identifying, Classifying and Measuring Risk in a Post.
6. Begenirbaş, M. (2022). Savunma Yönetimi ve Planlaması. Nobel Akademik Yayıncılık.
7. Ben-Gal, H. C., Forma, I. A., & Singer, G. (2022). A flexible employee recruitment and compensation model: A bi-level optimization approach. Computers & Industrial Engineering, 165. https://doi.org/10.1016/j.cie.2021.107916
8. Bingöl, D. (2019). İnsan Kaynakları Yönetimi, (11. Basım). Beta Yayınevi.

9. Borman, W. C., Hanson, M. A., & Hedge, J. W. (1997). Personnel selection. Annual Review of Psychology, 48(1), 299–337. https://doi.org/10.1146/annurev.psych.48.1.299
10. Bucur-Marcu, H., Fluri, P., & Tagarev, T. (2010). Defence management: An introduction. Univerza v Ljubljani, Fakulteta za družbene vede.
11. Canós, L., & Liern, V. (2008). Soft computing-based aggregation methods for human resource management. European Journal of Operational Research, 189(3), 669-681. https://doi.org/10.1016/j.ejor.2006.01.054
12. Celik, M., Kandakoglu, A., & Er, I. D. (2009). Structuring fuzzy integrated multi-stages evaluation model on academic personnel recruitment in MET institutions. Expert Systems with Applications, 36(3), 6918-6927. https://doi.org/10.1016/j.eswa.2008.08.057
13. Chanakira, D. K., Mujere, J., & Spiegel, S. (2019). Traditional leaders and the politics of labour recruitment in Zimbabwe’s platinum mining industry. The Extractive Industries and Society, 6(4), 1274-1281. https://doi.org/10.1016/j.exis.2019.09.007
14. Chang, B., Chang, C. W., & Wu, C. H. (2011). Fuzzy DEMATEL method for developing supplier selection criteria. Expert Systems with Applications, 38(3), 1850-1858. https://doi.org/10.1016/j.eswa.2010.07.114
15. Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets And Systems, 114(1), 1-9. https://doi.org/10.1016/S0165-0114(97)00377-1
16. Chen, L. S., & Cheng, C. H. (2005). Selecting IS personnel use fuzzy GDSS based on metric distance method. European Journal of Operational Research, 160(3), 803-820. https://doi.org/10.1016/j.ejor.2003.07.003
17. 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. https://doi.org/10.1016/j.eswa.2006.09.003
18. Chim, L., Nunes-Vaz, R., Prandolini, R. (2010). Capability-Based Planning for Australia's National Security, Security Challenges, 6(3), 79-96. https://doi.org/10.1016/j.eswa.2006.09.003
19. Cortina, J. M., Goldstein, N. B., Payne, S. C., Davison, H. K., & Gilliland, S. W. (2000). The incremental validity of interview scores over and above cognitive ability and conscientiousness scores. Personnel Psychology, 53(2), 325-351. https://doi.org/10.1111/j.1744-6570.2000.tb00204.x
20. Demirci, A. E., & Kılıç, H. S. (2019). Personnel selection based on integrated multi-criteria decision making techniques. International Journal of Advances in Engineering and Pure Sciences, 31(2), 163-178. https://doi.org/10.7240/jeps.505970
21. DOD Directive 5000.01. (2020). The Defense Acquisition System, https://www.esd.whs.mil/Portals/54/Documents/DD/issuances/dodd/500001p.pdf
22. Doverspike, D., Flores, C., & VanderLeest, J. (2019). Lifespan Perspectives on Personnel Selection and Recruitment. In Work Across the Lifespan (pp. 343-368). Academic Press. https://doi.org/10.1016/B978-0-12-812756-8.00014-1
23. Dursun, M., & Karsak, E. E. (2010). A fuzzy MCDM approach for personnel selection. Expert Systems with Applications, 37(6), 4324-4330. https://doi.org/10.1016/j.eswa.2009.11.067
24. El Ouirdi, M., El Ouirdi, A., Segers, J., & Pais, I. (2016). Technology adoption in employee recruitment: The case of social media in Central and Eastern Europe. Computers ın Human Behavior, 57, 240-249. https://doi.org/10.1016/j.chb.2015.12.043
25. Erdal, H., & Korucuk, S. (2018). Lojistik sektöründe inovasyon önceliklerinin belirlenmesi: Karşılaştırmalı bir analiz. Kocaeli Üniversitesi Sosyal Bilimler Dergisi, (36), 1-24.
26. Eroğlu, Ö., & Gencer, C. (2017). Integrating fuzzy DEMATEL and SMAA-2 for maintenance expenses. International Journal of Engineering Science Invention, 6(2), 60-71.
27. Garcia, A., Keyner, H., Robillard, T.J., VanMullekom, M. (1997). Defense Acquisition Workforce Improvement Act: Five Years Later, Defense Systems Management College, https://apps.dtic.mil/sti/pdfs/ADA487925.pdf
28. García-Barrero, J. A., & Erbina, C. M. (2021). The management of labour recruitment: The hotel chains during the Spanish tourism boom, 1959–1973. Annals of Tourism Research, 86, 103086. https://doi.org/10.1016/j.annals.2020.103086
29. Gilan, S. S., Sebt, M. H., & Shahhosseini, V. (2012). Computing with words for hierarchical competency based selection of personnel in construction companies. Applied Soft Computing, 12(2), 860-871. https://doi.org/10.1016/j.asoc.2011.10.004
30. Giri, B. C., Molla, M. U., & Biswas, P. (2022). Pythagorean fuzzy DEMATEL method for supplier selection in sustainable supply chain management. Expert Systems with Applications, 193, 116396. https://doi.org/10.1016/j.eswa.2021.116396
31. Golovko, D., & Schumann, J. H. (2019). Influence of company Facebook activities on recruitment success. Journal of Business Research, 104, 161-169. https://doi.org/10.1016/j.jbusres.2019.06.029
32. Güngör, Z., Serhadlıoğlu, G., & Kesen, S. E. (2009). A fuzzy AHP approach to personnel selection problem. Applied Soft Computing, 9(2), 641-646. https://doi.org/10.1016/j.asoc.2008.09.003
33. Harrison, S. (2022). Systems Engineering and Life Cycle Sustainment The Need to Synchronize, Defense Acquisition Magazine, https://www.dau.edu/library/defense-atl/blog/The-Need-to-Synchronize
34. Hassler, M. (2004). Raw material procurement, industrial upgrading and labor recruitment: intermediaries in Indonesia's clothing industry. Geoforum, 35(4), 441-451. https://doi.org/10.1016/j.geoforum.2003.11.002
35. Hertig, C. A., Kling, B., & Dannecker, M. (2015). Recruitment and Retention of Security Personnel: Understanding and Meeting the Challenge. In Security Supervision and Management (pp. 183-199). Butterworth-Heinemann
36. Jessop, A. (2004). Minimally biased weight determination in personnel selection. European Journal of Operational Research, 153(2), 433-444. https://doi.org/10.1016/S0377-2217(03)00163-2
37. Ji, P., Zhang, H. Y., & Wang, J. Q. (2018). A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection. Neural Computing and Applications, 29(1), 221-234. https://doi.org/10.1007/s00521-016-2436-z
38. Jiarakorn, H., Suchiva, S., & Pasipol, S. (2015). Development of recruitment and selection process for assistant teachers using multiple approaches. Procedia-Social and Behavioral Sciences, 191, 783-787. https://doi.org/10.1016/j.sbspro.2015.04.717
39. Kabak, M., Burmaoğlu, S., & Kazançoğlu, Y. (2012). A fuzzy hybrid MCDM approach for professional selection. Expert Systems with Applications, 39(3), 3516-3525. https://doi.org/10.1016/j.eswa.2011.09.042
40. Karabasevic, D., Zavadskas, E. K., Stanujkic, D., Popovic, G., & Brzakovic, M. (2018). An approach to personnel selection in the IT industry based on the EDAS method. Transformations in Business & Economics, 17, 54-65.
41. Kaymaz, Ç. K., Çakır, Ç., Birinci, S., & Kızılkan, Y. (2021). GIS-Fuzzy DEMATEL MCDA model in the evaluation of the areas for ecotourism development: A case study of “Uzundere”, Erzurum-Turkey. Applied Geography, 136, 102577. https://doi.org/10.1016/j.apgeog.2021.102577
42. Korkmazyürek, H. (2018). Stratejik Savunma Yönetimi Temel Kavramları ve Esasları, İstanbul, Hiperyayın.
43. Krishankumar, R., Premaladha, J., Ravichandran, K. S., Sekar, K. R., Manikandan, R., & Gao, X. Z. (2020). A novel extension to VIKOR method under intuitionistic fuzzy context for solving personnel selection problem. Soft Computing, 24(2), 1063-1081. https://doi.org/10.1007/s00500-019-03943-2
44. Land, G. (1993). Training and development for the military acquisition workforce. Military Project Management Handbook, ed. David I. Cleland, James M. Gallagher, and Ronald S. Whitehead.
45. Li, R. J. (1999). Fuzzy method in group decision making. Computers & Mathematics with Applications, 38(1), 91-101. https://doi.org/10.1016/S0898-1221(99)00172-8
46. Maghsoodi, A. I., Riahi, D., Herrera-Viedma, E., & Zavadskas, E. K. (2020). An integrated parallel big data decision support tool using the W-CLUS-MCDA: A multi-scenario personnel assessment. Knowledge-Based Systems, 195, 105749. https://doi.org/10.1016/j.knosys.2020.105749
47. Michaud, R., Durivage, A., & Stamate, A. N. (2016). L’appariement personne-organisation au service de la sélection du personnel. Psychologie du Travail et des Organisations, 22(2), 99-109. https://doi.org/10.1016/j.pto.2016.02.002
48. Mirmousa, S., & Dehnavi, H. D. (2016). Development of criteria of selecting the supplier by using the fuzzy DEMATEL method. Procedia-Social and Behavioral Sciences, 230, 281-289. https://doi.org/10.1016/j.sbspro.2016.09.036
49. Muhammad, M. N., & Cavus, N. (2017). Fuzzy DEMATEL method for identifying LMS evaluation criteria. Procedia Computer Science, 120, 742-749. https://doi.org/10.1016/j.procs.2017.11.304
50. Oostrom, J. K., Van Der Linden, D., Born, M. P., & Van Der Molen, H. T. (2013). New technology in personnel selection: How recruiter characteristics affect the adoption of new selection technology. Computers in Human Behavior, 29(6), 2404-2415. https://doi.org/10.1016/j.chb.2013.05.025
51. Opricovic, S., & Tzeng, G. H. (2003). Defuzzification within a multicriteria decision model. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 11(05), 635-652. https://doi.org/10.1142/S0218488503002387
52. Oralhan, B. (2019). Sosyal Medya Platformu Seçimini Etkileyen Kriter Ağırlıklarının Bulanık DEMATEL Yöntemiyle Belirlenmesi. IBAD Sosyal Bilimler Dergisi, 408-420. https://doi.org/10.21733/ibad.615528
53. Organ, A. (2013). Bulanık Dematel yöntemiyle makine seçimini etkileyen kriterlerin değerlendirilmesi. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 22(1), 157-172.
54. Orlando C. Richard and Nancy Johnson, “Strategic Human Resource Management Effectiveness and Firm Performance”, International Journal of Human Resource Management, 12(2), 299-310. https://doi.org/10.1080/09585190121674
55. Peçen, Ü., & Kaya, N. (2013). Amerika Birleşik Devletleri Firmalarında İnsan Kaynakları Yönetimi Uygulamaları, Organizasyonel İklim Ve Organizasyonel Yenilikçilik Düzeyi. Doğuş Üniversitesi Dergisi, 14(1), 95-111.
56. Pessach, D., Singer, G., Avrahami, D., Ben-Gal, H. C., Shmueli, E., & Ben-Gal, I. (2020). Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming. Decision Support Systems, 134. https://doi.org/10.1016/j.dss.2020.113290
57. Robertson, I. T., & Smith, M. (2001). Personnel selection. Journal of Occupational and Organizational Psychology, 74(4), 441–472. https://doi.org/10.1348/096317901167479
58. Salgado, J. F. (1997). The Five Factor Model of personality and job performance in the European Community. Journal of Applied Psychology, 82(1), 30. https://doi.org/10.1037/0021-9010.82.1.30
59. Sang, X., Liu, X., & Qin, J. (2015). An analytical solution to fuzzy TOPSIS and its application in personnel selection for knowledge-intensive enterprise. Applied Soft Computing, 30, 190-204. https://doi.org/10.1016/j.asoc.2015.01.002
60. Santiago, Z. C., Luis, E. R., & Ricardo, L. N. (2019, April). Selection of Personnel Based on Multicriteria Decision Making and Fuzzy Logic. In Science and Information Conference (pp. 1-10). Springer, Cham. https://doi.org/10.1007/978-3-030-17798-0_1
61. Saremi, M., Mousavi, S. F., & Sanayei, A. (2009). TQM consultant selection in SMEs with TOPSIS under fuzzy environment. Expert Systems with Applications, 36(2), 2742-2749. https://doi.org/10.1016/j.eswa.2008.01.034 Sayan, İ. Ö. (2009). Türkiye’de Kamu Personel Sistemi: İdari, Askeri, Akademik, Adli Personel Ayrimi. Ankara Üniversitesi SBF Dergisi, 64(01), 201-245.
62. Shih, H. S., Shyur, H. J., & Lee, E. S. (2007). An extension of TOPSIS for group decision making. Mathematical and Computer Modelling, 45(7-8), 801-813. https://doi.org/10.1016/j.mcm.2006.03.023
63. Spain, R. D., Hedge, J. W., Ohse, D., & White, A. (2022). The need for research-based tools for personnel selection and assessment in the forensic sciences. Forensic Science International: Synergy, 4. https://doi.org/10.1016/j.fsisyn.2021.100213
64. Tabatabaee, S., Mahdiyar, A., Durdyev, S., Mohandes, S. R., & Ismail, S. (2019). An assessment model of benefits, opportunities, costs, and risks of green roof installation: A multi criteria decision making approach. Journal of Cleaner Production, 238, 117956. https://doi.org/10.1016/j.jclepro.2019.117956
65. Topçu, M. K. (2010). Savunma Planlamasinin Ekonomiye Etkileri ve Savunma Bütçeleri. Savunma Bilimleri Dergisi, 9(1), 75-96.
66. 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).
67. Ünlü, O. ve Begenirbaş, M. (2021). Geleceğin Belirsizliğinde Beşeri Sermayenin Önemi: Savunma Planlayıcılarına Öneriler, Güvenlik Stratejileri Dergisi, 17 (39), 639-667.
68. Vardarlier, P., & Zafer, C. (2020). Use of artificial intelligence as business strategy in recruitment process and social perspective. Digital Business Strategies in Blockchain Ecosystems: Transformational Design and Future of Global Business, 355-373. https://doi.org/10.1007/978-3-030-29739-8_17
69. Voicu, M. C. (2014). Using online questionnaires in the employee recruitment activity. Procedia-Social and Behavioral Sciences, 124, 34-42. https://doi.org/10.1016/j.sbspro.2014.02.457
70. Wan, S. P., Wang, Q. Y., & Dong, J. Y. (2013). The extended VIKOR method for multi-attribute group decision making with triangular intuitionistic fuzzy numbers. Knowledge-Based Systems, 52, 65-77. https://doi.org/10.1016/j.knosys.2013.06.019
71. Wu, W. W., & Lee, Y. T. (2007). Developing global managers’ competencies using the fuzzy DEMATEL method. Expert Systems with Applications, 32(2), 499-507. https://doi.org/10.1016/j.eswa.2005.12.005
72. Yazdi, M., Khan, F., Abbassi, R., & Rusli, R. (2020). Improved DEMATEL methodology for effective safety management decision-making. Safety Science, 127, 104705. https://doi.org/10.1016/j.ssci.2020.104705
73. Yeni, F. B., & Özçelik, G. (2019). Interval-valued Atanassov intuitionistic Fuzzy CODAS method for multi criteria group decision making problems. Group Decision and Negotiation, 28(2), 433-452. https://doi.org/10.1007/s10726-018-9603-9
74. Zavadskas, E. K., Turskis, Z., Tamošaitiene, J., & Marina, V. (2008). Multicriteria selection of project managers by applying grey criteria. Technological and economic development of economy, 14(4), 462-477. https://doi.org/10.3846/1392-8619.2008.14.462-477
75. 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. https://doi.org/10.1016/j.eswa.2011.03.012