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İşletmelerde Verimliliği Etkileyen Faktörlerin Çok Kriterli Karar Verme Yöntemleri ile Belirlenmesi ve Balık Kılçığı Yöntemi ile Çözüm Önerilerinin Geliştirilmesi

Yıl 2026, Cilt: 60 Sayı: 1, 143 - 162, 28.01.2026
https://doi.org/10.51551/verimlilik.1796166
https://izlik.org/JA53RU67PZ

Öz

Amaç: Bu çalışmada işletmelerin verimliliğine etki eden faktörlerin belirlenmesi, önem derecelerine göre sıralanması ve her bir faktöre dair verimliliği artırıcı önerilerin geliştirilmesi amaçlanmıştır.
Yöntem: İşletmelerde verimliliğe etki eden faktörler AHP Yöntemi ile sıralanmış, DEMATEL Yöntemi ile faktörler arasındaki ilişkiler belirlenmiş ve son olarak Balık Kılçığı Diyagramı ile görselleştirilerek her bir faktöre dair verimliliği artırıcı öneriler sunulmuştur.
Bulgular: AHP Yöntemi ile yapılan analizler sonucunda, işletmelerde verimliliğe etki eden en önemli faktörler örgüt kültürü, yönetim ve liderlik ile işletmenin finansal yapısı olarak tespit edilirken; çalışma ortamının ergonomik özellikleri en düşük önem düzeyindeki faktör olarak belirlenmiştir. Gerçekleştirilen DEMATEL Yöntemi uygulamasında sonucunda ise yönetim ve liderlik ile işletmenin finansal yapısı faktörlerinin diğer faktörleri en çok etkileyen faktörler olduğu tespit edilmiştir. Balık kılçığı diyagramı uygulamasında ise bulgular görselleştirilerek, her bir faktöre dair verimliliği artırıcı öneriler sunulmuştur.
Özgünlük: İşletmelerde verimlilik konusunu bir bütün olarak ele alan çalışmaların az olduğu ve farklı çok kriterli karar verme yöntemleri ile balık kılçığı diyagramı uygulamasının oldukça kısıtlı olduğu literatür taramasında görülmekte iken, uygulamalarda kullanılan modelin özgün olması bu çalışmayı diğer çalışmalardan yöntem ve model olarak farklılaştırmaktadır.

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Determining Factors Affecting Productivity in Businesses by Using Multi-Criteria Decision-Making Methods and Developing Solution Proposals Using the Fishbone Diagram Method

Yıl 2026, Cilt: 60 Sayı: 1, 143 - 162, 28.01.2026
https://doi.org/10.51551/verimlilik.1796166
https://izlik.org/JA53RU67PZ

Öz

Purpose: The aim of this study is to identify the factors affecting the productivity of businesses, rank them according to their importance, and develop productivity-enhancing proposals for each factor.
Methodology: The factors affecting productivity in businesses were ranked using the AHP Method, the relationships between the factors were determined using the DEMATEL Method, and finally, each factor was visualized using a Fishbone Diagram, and suggestions for increasing productivity were presented.
Findings: The AHP Method analysis revealed that the most important factors affecting productivity in businesses are organizational culture, management and leadership, and the financial structure of the business, while the ergonomic characteristics of the working environment were determined to be the least important factor. The DEMATEL Method application has revealed that management and leadership, along with the company's financial structure, were the factors that most significantly influenced the other factors. A fishbone diagram was used to visualize the findings and provide suggestions for each factor to increase productivity.
Originality: The literature review reveals that there are few studies addressing the issue of productivity in businesses as a whole, and that the application of multi-criteria decision-making methods and fishbone diagrams is quite limited. However, the originality of the model used in the application distinguishes this study from others in terms of methodology and model.

Kaynakça

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  • Prakash, A., Jha, S.K., Prasad, K.D. ve Singh, A.K. (2017). "Productivity, Quality and Business Performance: An Empirical Study", International Journal of Productivity and Performance Management, 66(1), 78-91. https://doi.org/10.1108/IJPPM-03-2015-0041
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  • Semmaila, B. (2018). "Karakteristik Individu, Sosyal Ekonomi, Kültürel ve Sağlık Açısından Çalışan Verimliliğine Etkisi Üzerine Bir Çalışma (Makassar Şehri, Endonezya'daki Küçük İşletmelerde)", EKUITAS (Jurnal Ekonomi Dan Keuangan), 12(4), 549-567.
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  • Štofková, J., Krejnus, M., Štofková, K., Malega, P. ve Biňasová, V. (2022). "Use of the Analytic Hierarchy Process and Selected Methods in the Managerial Decision-Making Process in the Context of Sustainable Development", Sustainability, 14(18), 11546. https://doi.org/10.3390/su141811546
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  • Top, A. (2002). "Verimlilik ve Üretkenlik Üzerine Düşünceler", Öneri Dergisi, 5(17), 31-34. Tzeng, G.H., Chiang, C.H. ve Li, C.W. (2007). "Evaluating Intertwined Effects in Elearning Programs: A Novel Hybrid MCDM Model Based on Factor Analysis and DEMATEL", Expert Systems with Applications, 32, 1028-1044. https://doi.org/10.1016/j.eswa.2006.02.004
  • Uzay, N. ve Barış, S. (2019). "Verimlilik ve Büyüme Kavram, Kuram ve Politika", Nobel Akademik Yayıncılık, Ankara. Vafaei, N., Ribeiro, R.A. ve Camarinha-Matos, L.M. (2016). "Normalization Techniques for Multi-Criteria Decision Making: Analytical Hierarchy Process Case Study", Doctoral Conference on Computing, Electrical and Industrial Systems (ss. 261-269), Springer International Publishing, Cham.
  • Wahyuaji, B.T. ve Nasir, M. (2019). "Pengaruh Lingkungan Kerja dan Karakteristik Individu Terhadap Kinerja Karyawan SFA Steak & Resto di Karanganyar", Universitas Muhammadiyah Surakarta.
  • Watson, G. (2004). "The Legacy Of Ishikawa", Quality Progress, 37(4), 54-47.
  • Wheelwright, S. C. (1984). "Quality and Productivity in the New Industrial Competition". AT&T Bell Laboratories Management for Quality and Productivity Workshop, Somerset, NJ.
  • Wu, W.W. ve Lee, Y.T. (2007). "Developing Global Managers’ Competencies Using the Fuzzy DEMATEL Method", Expert Systems with Applications, 32, 499-507. https://doi.org/10.1016/j.eswa.2005.12.005
  • Yazdani, A.A. ve Tavakkoli-Moghaddam, R. (2012). "Integration of the Fish Bone Diagram, Brainstorming, and AHP Method for Problem Solving and Decision Making—A Case Study", The International Journal of Advanced Manufacturing Technology, 63(5), 651-657.
  • Yüksel, M., Dağdeviren, M. ve Kabak, M. (2018). "An Analysis of the Factors Determining the Effectiveness of Chemistry Education by Using Fishbone Analysis and AHP-PROMETHEE Techniques", Necatibey Faculty of Education Electronic Journal of Science & Mathematics Education, 12(1), 442-472. https://doi.org/10.17522/balikesirnef.437833
  • Zabidi, Y., Pirdaus, R., Mauidzoh, U.G., Astuti, M. ve Nurdin, R. (2024). "Productivity Analysis Using the Objective Matrix and Fishbone Diagram Methods in SMEs of Airplane Replicas", 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), 904-907. https://doi.org/10.1109/ICETSIS61505.2024.10459644
  • Zhao, C.H., Zhang, J., Zhong, X. Y., Zeng, J. ve Chen, S.J. (2012). "Analysis of Accident Safety Risk of Tower Crane Based on Fishbone Diagram and the Analytic Hierarchy Process", Applied Mechanics and Materials, 127, 139-143. https://doi.org/10.4028/www.scientific.net/AMM.127.139
  • Zahedi, F. (1986). "The Analytic Hierarchy Process: A Survey of the Method and its Applications", Interfaces, 16, 96-108.
  • Zwart, S. ve Baker, M. (2018). "Improving Productivity and Job Quality of Low-Skilled Workers in the United Kingdom", OECD Economic Department Working Papers, (1457), 1-36.
Toplam 94 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Çok Ölçütlü Karar Verme, İşletme , Kalite Yönetimi
Bölüm Araştırma Makalesi
Yazarlar

Serkan Derici 0000-0003-2581-6770

Gönderilme Tarihi 5 Ekim 2025
Kabul Tarihi 4 Kasım 2025
Yayımlanma Tarihi 28 Ocak 2026
DOI https://doi.org/10.51551/verimlilik.1796166
IZ https://izlik.org/JA53RU67PZ
Yayımlandığı Sayı Yıl 2026 Cilt: 60 Sayı: 1

Kaynak Göster

APA Derici, S. (2026). İşletmelerde Verimliliği Etkileyen Faktörlerin Çok Kriterli Karar Verme Yöntemleri ile Belirlenmesi ve Balık Kılçığı Yöntemi ile Çözüm Önerilerinin Geliştirilmesi. Verimlilik Dergisi, 60(1), 143-162. https://doi.org/10.51551/verimlilik.1796166

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