Personel Geliştirme Süreçlerinde Karar Destek Sistemi Olarak Bulanık Uzman Sistem Uygulanması

Abstract

Kaliteli ürün ve hizmet üretimi için kaliteli personel istihdamının da önemli olduğu günümüzde, organizasyonlar performansları organizasyon içinde kendi performans yönetim sistemleri ile değerlendirmekte ve uygun eğitim ve gelişim programları belirleyerek hedeflenen iş performansına ulaşmaya çalışmaktadırlar. Gelişim faaliyetleri bireysel ve sürekli olduğundan ve bireysel gelişim faaliyetlerinin uygulanmasını gerektirdiğinden daha uzun bir süreye yayılmaktadır. Literatürdeki çalışmalar incelendiğinde bu süreçte çalışanlara genellikle standartlaştırılmış gelişim faaliyetlerinin uygulandığı ve çoğunlukla sosyo-psikolojik faktörlerin dikkate alınmadığı görülmektedir. Bu çalışmada, yöneticilerin işe yerleştirme sürecinde karar vermelerine yardımcı olmak amacıyla çalışanların bilgi ve becerilerinin, psikolojik durumlarının, iletişim becerilerinin, iş tatminlerinin ve demografik özelliklerinin değerlendirilebileceği bir karar destek sistemi geliştirilmiştir. ve çalışanların gelişim süreçleri. Çalışmada geliştirilen sistem sayesinde her bir personelin ihtiyaç ve durumuna göre geliştirme faaliyetleri planlanarak, minimum maliyet ve zaman ile maksimum verim ve iş performansının elde edilmesi mümkün olacaktır.

Keywords

• Bulanık Uzman Sistem
• Karar Destek Sistemi
• Personel Geliştirme
• Personel Değerlendirme

Implementation of Fuzzy Expert System as a Decision Support System in the Personnel Development Processes

Abstract

In this day where quality personnel employment is also important for the production of quality products and services, the organizations evaluate the performances by their performance management systems within the organization and try to achieve their targeted business performance by determining appropriate training and development programs. Development activities are spread over a longer period, as they are individual and continuous, and require the implementation of individual development activities. When the studies in the literature are examined, it is observed that standardized development activities are generally applied to the employees in this process and mostly socio-psychological factors are not taken into consideration. In this study, a decision support system, in which the employees' knowledge and skills, psychological status, communication skills, job satisfaction and demographic characteristics can be evaluated, has been developed in order to assist managers in their decision-making during the job placement and development processes of the employees. It will be possible to obtain the maximum efficiency and work performance with minor cost and time by planning the development activities in accordance with the needs and situation of each personnel thanks to the system developed in the study

Keywords

• Fuzzy Expert System
• Decision Support System
• Personnel Improving
• Personnel Evaluation

References

1. Akinci, C., Smith, E. S. 2019. Collective Intuition: Implications for Improved Decision Making and Organizational Learning. British Journal of Management, 30: 558-577.
2. Tregaskis, O., Almond, P. 2019. Multinationals and Skills Policy Networks: HRM as a Player in Economic and Social Concerns. British Journal of Management, 30: 593-609.
3. Uyargil, C.B., Acar, A.C., Özçelik, A.O., Dündar G.İ., Tüzüner V.L., Sadullah Ö. Z. 2015. Human Resources Management, Beta Publishing, Istanbul.
4. Findikci, I. 2009. Human Resources Management, 7. Edition, Alfa Publishing, Istanbul.
5. Cetin, M. 2003. Development of Public Relations from Organizational Theories Perspective, Gazi University Journal of Communication Theory and Research, 18: 33-44.
6. Froese F. J., Peltokorpi, V., Varma, A., Hansel, A. H. 2019. Multinationals and Skills Policy Networks: HRM as a Player in Economic and Social Concerns. British Journal of Management, 30: 610-623.
7. Gruenberg T. 2007. Performance Improvement - A Method to Support Performance Improvement in Industrial Operations, Department of Production Engineering Royal Institute of Technology, PhD Thesis, Stochkolm.
8. Kassaneh, T.C., Havinal, V. 2017. Investigation of Company-wide Performance Factors in Ethiopian Leather Footwear Industry. Research Journal of Social Science and Management, 7: 13-22.

9. Barutcugil, I. 2002. Performance Management, Kariyer Publishing, Istanbul.
10. Gursoy, M. 2003. Human performance technology model in improving employee performance and performance technology situation and attitude survey, Marmara University Social Sciences Institute, Master Thesis, Istanbul.
11. Eroglu, K. 1999. Development and Function of the Human Resources Department in Enterprises, Kurgu Journal, 16: 255-270.
12. Uyargil, C. 2013. Performance Evaluation. Human Resources Management, Beta Publications, Istanbul.
13. Inan, M. 2009. Çalışanları Geliştirmek, Hergün Karşılaştığınız Sorunlara Uzman Çözümler, Harvard Business School Publishing.
14. Kasımov, R. 2006. The Importance of Training and Development in Human Resources Management: An Application in Large-Scale Enterprises Operating in Azerbaijan, Nigde University Social Sciences Institute, Master Thesis, Nigde.
15. Sanders, E., Thiagarajan, S. 2001. Performance Intervention Maps. USA:American Society for Training and Development, ISBN:1-56286-293-6
16. Aydogan, I. 2002. Views of MEB Primary School Administrators and Teachers on Personnel Development, Ankara University Institute of Education Sciences, PhD Thesis, Ankara.
17. Sokmen, I. 2010. Investigation of Training Activities for the Development of Human Resources in Small and Medium-sized Enterprises (SMEs), Anadolu University Educational Sciences Institute, Master Thesis, Eskisehir.
18. Ozyurt, N. 2013. Training and Development in Human Resources, Beykent University Social Sciences Institute, Master Thesis, Istanbul.
19. Hatay, S. 2014. The Importance of Education Development Function in terms of Performance Management System and a Research, Istanbul Arel University Social Sciences Institute, Master Thesis, Istanbul.
20. Cavusoglu, G.O. 2015. Guidance based learning and development processes for high performance in organization and a model suggestion, Maltepe University Social Sciences Institute, Master Thesis, Istanbul.
21. Demirkaya, G. 2018. The relationship between human resources management functions and business satisfaction: A research on alumni of Kocaeli University aerospace and space sciences faculty, Kocaeli University Social Sciences Institute, Master Thesis, Kocaeli.
22. Merdan, E. 2018. Investigation of Effect of Personnel Improvement on Performance and Efficiency: An Application in the Banking Sector, Gumushane University Social Sciences Institute, Master Thesis, Gumushane.
23. Gungor, Z., Serhadlioglu, G., Kesen, S.E. 2009. A Fuzzy AHP Approach to Personnel Selection Problem, Applied Soft Computing, 9: 641-646.
24. Wang, D. 2009. Extension of TOPSIS Method for R&D Personnel Selection Problem with Interval Grey Number, International Conference on Management and Service Science, September, 1-4.
25. Dereli, T., Durmusoglu, A., Seckiner, S.U., Avlanmaz, N. 2010. A Fuzzy Approach for Personnel Selection Process, Turkish Journal of Fuzzy Systems, 1: 126-140.
26. Kelemenis, A., Askounis, D. 2010. A New TOPSIS-Based Multi-Criteria Approach to Personnel Selection, Expert Systems with Applications, 37: 4999-5008.
27. Kose, E., Aplak, H.S., Kabak, M. 2013. An Integrated Approach Based on Grey System Theory for Personnel Selection, Ege Academic Review, 13: 461-471.
28. Zhang, S.F., Liu, S.Y. 2011. A GRA-Based İntuitionistic Fuzzy Multi-Criteria Group Decision Making Method for Personnel Selection, Expert Systems with Applications, 38: 11401-11405.
29. Isigicok, E. 2008. Performance Measurement, Management and Statistical Analysis, Econometrics and Statistics e-Journal, 7: 1-23.
30. House, R.J., Rizzo, J.R. 1972. Role Conflict and Ambiguity as Critical Variables in a Model of Organizational Behaviour, Organizational Behaviour & Human Performance, 7: 467-505.
31. Siegel J.M. 1986. The Multidimensional Anger Inventory, Journal of Personality and Social Psychology, 5: 191-200.
32. Tezer, E. 1991. Job Satisfaction Scale, Hacettepe University School of Social Services Journal, 9: 55-76.
33. Korkut, F. 1996. Development of the Communication Skills Evaluation Scale: Reliability and Validity Studies, Turkish Psychological Counseling and Guidance Journal, 2: 18-23.
34. Nabiyev, V. 2003. Artificial Intelligence-Problems-Methods-Algorithms, Seckin Publishing, Ankara
35. Jackson, P. 1990. Introduction to Expert Systems, 2nd Edition, Workingham: Addison-Wesley.
36. Liao, T.W. 2003. Classification of Welding Flaw Types with Fuzzy Expert Systems, Expert Systems with Applications, 25: 101-111.
37. Zadeh, L.A. 1965. Fuzzy Sets, Information and Control, 2: 338-353.
38. Llata, J.R., Sarabia, E.G., Oria, J.P. 2001. Fuzzy Expert System with Double Knowledge Base for Ultrasonic Classification, Expert Systems with Applications, 20: 347 355.
39. Mamdani, E. H. 1974. Application of fuzzy algorithms for control of simple dynamic plant, Proceedings of the Institution of Electrical Engineers, 121: 1585 – 1974.
40. Sugeno, M. 1985. Industrial Applications of Fuzzy Control, Elsevier Science Pub. Co.