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İnsani Yardım Tedarik Zincirlerinde Operasyonel Başarıyı Etkileyen Faktörler: İkili Karşılaştırmalara Dayalı Bir Değerlendirme

Factors Affecting Operational Success in Humanitarian Supply Chains: An Assessment Based on Pairwise Comparisons

Zafer Duran

Sayfa
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Yayın Tarihi
2026-06-30
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Özet

İnsani yardım tedarik zincirleri, afet, savaş ve salgın gibi krizlerde ihtiyaç sahiplerine ulaştırılacak yardımların temin, depolama, taşıma ve dağıtım süreçlerinin uçtan uca planlanıp yönetildiği ağlardır. Bu ağların performansı, maliyet ve etkinlik gibi geleneksel ölçütlerden ziyade yardımın doğru zamanda ve doğru yere ulaştırılabilmesi üzerinden değerlendirilmektedir. Ancak bu ağlarda operasyonların sürekli değişen koşullar altında yürütülmesi, başarının ölçümünü ve takibini güçleştirmektedir. Literatürde insani yardım tedarik zincirlerinde başarının değerlendirilmesine odaklanan çeşitli çalışmalar bulunsa da saha koşullarında hangi faktörlerin operasyonel başarı açısından daha önemli olduğuna ilişkin ortak bir çerçeve henüz oluşmamıştır. Bu çalışma, operasyonel başarıyı etkileyen faktörleri ikili karşılaştırmalara dayalı bir yaklaşımla önceliklendirerek söz konusu sınırlılığın giderilmesine katkı sağlamayı amaçlamaktadır. Bu doğrultuda literatürden hareketle belirlenen altı başarı faktörü, 6 Şubat 2023 depremleri sonrasında sahada görev alan beş uzman katılımcının değerlendirmeleri alınarak Bulanık AHP yöntemiyle analiz edilmiştir. Analizler sonucunda eğitimli ve tecrübeli insan gücü faktörü 0,236485 ağırlık değeri ile ilk sırada konumlanırken, kaynakların etkin yönetimi ve planlama faktörü 0,121474 ağırlık değeri ile son sırada yer almıştır. Bununla birlikte gerçekleştirilen duyarlılık analizi, bu iki faktörün sıralamadaki yerinin büyük ölçüde korunduğunu, orta sıralarda yer alan faktörlerde ise sınırlı düzeyde değişiklikler olduğunu göstermiştir.

Abstract

Humanitarian aid supply chains involve the end-to-end planning and management of aid procurement, storage, transportation and distribution in crises such as disasters, wars and pandemics. Their performance is assessed primarily by whether aid reaches the right place at the right time rather than by traditional criteria such as cost and efficiency. However, the constantly changing conditions under which these operations are carried out make success difficult to measure and monitor. Although previous studies have addressed success evaluation in humanitarian aid supply chains, there is still limited consensus on which factors are more important for operational success under field conditions. This study aims to help address this gap by prioritizing the factors affecting operational success through a pairwise comparison-based approach. Six success factors identified from the literature were analyzed using Fuzzy AHP, based on the judgments of five expert participants who served in the field after the February 6, 2023, earthquakes. The results show that trained and experienced human resources ranked first with a weight of 0.236485, while effective resource management and planning ranked last with 0.121474. Sensitivity analysis showed that the positions of these two factors were largely preserved, while the middle-ranked factors changed only slightly.

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Bu Makaleye Atıf Yap

Duran, Z. (2026). İnsani Yardım Tedarik Zincirlerinde Operasyonel Başarıyı Etkileyen Faktörler: İkili Karşılaştırmalara Dayalı Bir Değerlendirme. Türkiye Mesleki ve Sosyal Bilimler Dergisi, Cilt: 8. https://doi.org/10.46236/jovosst.1902520

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Kaynakça (52)

  1. Abdul Rahman, N. A., Ahmi, A., Jraisat, L., & Upadhyay, A. (2022). Examining the trend of humanitarian supply chain studies: pre, during and post COVID-19 pandemic. Journal of Humanitarian Logistics and Supply Chain Management, 12(4), 594-617. https://doi.org/10.1108/JHLSCM-01-2022-0012
  2. Ahmed, H. N., Maoua, Z., Ahmed, S., & Ali, S. M. (2025). Humanitarian Relief Supply Chain Performance Measurement: A Framework and Validation. Journal of Industrial Information Integration, 100898. https://doi.org/10.1016/j.jii.2025.100898
  3. Akhtar, P., De Silva, M., Khan, Z., Tarba, S., Amankwah-Amoah, J., & Wood, G. (2025). Digital transformation in public-private collaborations: The success of humanitarian supply chain operations. International Journal of Production Economics, 279, 109461. https://doi.org/10.1016/j.ijpe.2024.109461
  4. Akhtar, P., Marr, N. E., & Garnevska, E. V. (2012). Coordination in humanitarian relief chains: chain coordinators. Journal of humanitarian logistics and supply chain management, 2(1), 85-103. https://doi.org/10.1108/20426741211226019
  5. Akyuz, G., A., & Erkan, T., E. (2010). Supply chain performance measurement: a literature review. International Journal of Production Research, 48(17), 5137-5155. https://doi.org/10.1080/00207540903089536
  6. Altay, N., Kovács, G., & Spens, K. (2021). The evolution of humanitarian logistics as a discipline through a crystal ball. Journal of Humanitarian Logistics and Supply Chain Management, 11(4), 577-584. https://doi.org/10.1108/JHLSCM-06-2021-0056
  7. Anjomshoae, A., Banomyong, R., Mohammed, F., & Kunz, N. (2022). A systematic review of humanitarian supply chains performance measurement literature from 2007 to 2021. International Journal of Disaster Risk Reduction, 72, 102852. https://doi.org/10.1016/j.ijdrr.2022.102852
  8. Anjomshoae, A., Hassan, A., & Wong, K. Y. (2019). An integrated AHP-based scheme for performance measurement in humanitarian supply chains. International Journal of Productivity and Performance Management, 68(5), 938-957. https://doi.org/10.1108/IJPPM-04-2018-0132
  9. Azmat, M., Atif, M., & Kummer, S. (2019). Identification and prioritization of critical success factors in faith-based and non-faith-based organizations’ humanitarian supply chain. Journal of International Humanitarian Action, 4(1), 20. https://doi.org/10.1186/s41018-019-0067-6
  10. Baki, B., & Abuasad, N. (2020). The evaluation of humanitarian supply chain performance based on balanced Scorecard-DEMATEL approach. Alphanumeric Journal, 8(2), 163-180. https://doi.org/10.17093/alphanumeric.736730
  11. Beamon, B. M., & Balcik, B. (2008). Performance measurement in humanitarian relief chains. International Journal of Public Sector Management, 21(1), 4-25. https://doi.org/10.1108/09513550810846087
  12. Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy sets and systems, 17(3), 233-247. https://doi.org/10.1016/0165-0114(85)90090-9
  13. Celik, E., Gumus, A. T., & Alegoz, M. (2014). A trapezoidal type-2 fuzzy MCDM method to identify and evaluate critical success factors for humanitarian relief logistics management. Journal of Intelligent & Fuzzy Systems, 27(6), 2847-2855. https://doi.org/10.3233/IFS-141246
  14. Chang, D.-Y. (1996), Applications of The Extent Analysis Method on Fuzzy AHP, European Journal of Operational Research, 95, 3, 649-655. https://doi.org/10.1016/0377-2217(95)00300-2
  15. Choudhary, S., Panda, T. K., & Behl, A. (2024). Modelling the interrelationships of critical success factors of humanitarian supply chain: an intuitionistic fuzzy DEMATEL approach. Benchmarking: An International Journal, 31(10), 3534-3559. https://doi.org/10.1108/BIJ-02-2023-0080
  16. Damoah, I. S. (2022). Exploring critical success factors (CSFs) of humanitarian supply chain management (HSCM) in flood disaster management (FDM). Journal of Humanitarian Logistics and Supply Chain Management, 12(1), 129-153. https://doi.org/10.1108/JHLSCM-01-2021-0003
  17. Dube, N., Van der Vaart, T., Teunter, R. H., & Van Wassenhove, L. N. (2016). Host government impact on the logistics performance of international humanitarian organisations. Journal of Operations Management, 47, 44-57. https://doi.org/10.1016/j.jom.2016.05.011
  18. Dubey, R., Altay, N., & Blome, C. (2019). Swift trust and commitment: The missing links for humanitarian supply chain coordination?. Annals of Operations Research, 283(1), 59-177. https://doi.org/10.1007/s10479-017-2676-z
  19. Dubey, R., Singh, T., & Gupta, O. K. (2015). Impact of agility, adaptability and alignment on humanitarian logistics performance: mediating effect of leadership. Global Business Review, 16(5), 812-831. https://doi.org/10.1177/0972150915591463
  20. Duran, Z., & Paksoy, Ö. B. (2022). Maliyet Dağıtım Anahtarlarının Bulanık AHP ve Bulanık TOPSIS Yöntemleriyle Değerlendirilmesi. Journal of Applied & Theoretical Social Sciences, 4(1). https://doi.org/10.37241/jatss.2022.51
  21. Dyer, J. S. (1990). Remarks on the analytic hierarchy process. Management Science, 36(3), 249-258. https://doi.org/10.1287/mnsc.36.3.249
  22. Farzipoor Saen, R., Moghaddas, Z., & Azadi, M. (2024). Performance measurement of humanitarian supply chains. Annals of Operations Research, 1-48. https://doi.org/10.1007/s10479-024-06270-4
  23. Gunasekaran, A., Patel, C., & McGaughey, R. E. (2004). A framework for supply chain performance measurement. International Journal of Production Economics, 87(3), 333-347. https://doi.org/10.1016/j.ijpe.2003.08.003
  24. Haavisto, I., & Goentzel, J. (2015). Measuring humanitarian supply chain performance in a multi-goal context. Journal of Humanitarian Logistics and Supply Chain Management, 5(3), 300-324. https://doi.org/10.1108/JHLSCM-07-2015-0028
  25. Jayadi, E. L. (2025). The digitalization of the humanitarian supply chain performance management literature and practice. Journal of Humanitarian Logistics and Supply Chain Management, 15(2), 175-193. https://doi.org/10.1108/JHLSCM-10-2023-0098
  26. Jensen, L. M., & Hertz, S. (2016). The coordination roles of relief organisations in humanitarian logistics. International Journal of Logistics Research and Applications, 19(5), 465-485. https://doi.org/10.1080/13675567.2015.1124845
  27. Klir, G., & Yuan, B. (1995). Fuzzy sets and fuzzy logic (Vol. 4, pp. 1-12). New Jersey: Prentice hall.
  28. Kovács, G., & Spens, K. M. (2007). Humanitarian logistics in disaster relief operations. International Journal of Physical Distribution & Logistics Management, 37(2), 99-114. https://doi.org/10.1108/ 09600030710734820
  29. Kovács, G., Tatham, P., & Larson, P. D. (2012). What skills are needed to be a humanitarian logistician?. Journal of business logistics, 33(3), 245-258. https://doi.org/10.1111/j.2158-1592.2012.01054.x
  30. Kwateng, K. O., Tetteh, F. K., Asare, N., & Manu, D. (2022). Can intercluster coordination mediate the relationship between supply chain flexibility and humanitarian supply chain performance?. Journal of Humanitarian Logistics and Supply Chain Management, 12(3), 449-470. https://doi.org/10.1108/ JHLSCM-09-2021-0086
  31. Lu, Q., Goh, M., & De Souza, R. (2016). A SCOR framework to measure logistics performance of humanitarian organizations. Journal of Humanitarian Logistics and Supply Chain Management, 6(2), 222-239. https://doi.org/10.1108/JHLSCM-09-2015-0038
  32. Najjar, M. S., Dahabiyeh, L., & Nawayseh, M. (2019). Share if you care: the impact of information sharing and information quality on humanitarian supply chain performance-a social capital perspective. Information Development, 35(3), 467-481. https://doi.org/10.1177/0266666918755427
  33. Patil, A., Madaan, J., Chan, F. T., & Charan, P. (2022). Advancement of performance measurement system in the humanitarian supply chain. Expert Systems with Applications, 206, 117844. https://doi.org/10.1016/j.eswa.2022.117844
  34. Pettit, S., & Beresford, A. (2009). Critical success factors in the context of humanitarian aid supply chains. International Journal of Physical Distribution & Logistics Management, 39(6), 450-468. https://doi.org/10.1108/09600030910985811
  35. Saaty, R. W. (1987). The analytic hierarchy process- what it is and how it is used. Mathematical Modelling, 9(3-5), 161-176. https://doi.org/10.1016/0270-0255(87)90473-8
  36. Saaty, T. L. (2008). The analytic hierarchy and analytic network measurement processes: Applications to decisions under disk. European Jurnal of Pure and Applied Mathematics, 1(1), 122-196. https://doi.org/10.29020/nybg.ejpam.v1i1.6
  37. Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48(1), 9-26. https://doi.org/10.1016/0377-2217(90)90057-I
  38. Saaty, T.L. and Vargas, L.G. (2012) Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. Springer Science & Business Media, New York. https://doi.org/10.1007/978-1-4614-3597-6
  39. Santarelli, G., Abidi, H., Klumpp, M., & Regattieri, A. (2015). Humanitarian supply chains and performance measurement schemes in practice. International Journal of Productivity and Performance Management, 64(6), 784-810. https://doi.org/10.1108/IJPPM-11-2013-0185
  40. Schmidt, K., Aumann, I., Hollander, I., Damm, K., & von der Schulenburg, J. M. G. (2015). Applying the Analytic Hierarchy Process in healthcare research: A systematic literature review and evaluation of reporting. BMC medical informatics and decision making, 15(1), 112. https://doi.org/10.1186/s12911-015-0234-7
  41. Stumpf, J., Besiou, M., & Wakolbinger, T. (2023). Supply chain preparedness: how operational settings, product and disaster characteristics affect humanitarian responses. Production and Operations Management, 32(8), 2491-2509. https://doi.org/10.1111/poms.13988
  42. Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509-533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7%3C509::AID-SMJ882%3E3.0.CO;2-Z
  43. Triantaphyllou, E., & Mann, S. H. (1995). Using the analytic hierarchy process for decision making in engineering applications: some challenges. International Journal of Industrial Engineering: Applications and Practice, 2(1), 35-44.
  44. Özdağoğlu, A., & Özdağoğlu, G. (2007). Comparison of AHP and fuzzy AHP for the multi-criteria decision making processes with linguistic evaluations. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, 6(11), 65-85.
  45. Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of operational research, 169(1), 1-29. https://doi.org/10.1016/j.ejor.2004.04.028
  46. Van Laarhoven, P. J., & Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy Sets and Systems, 11(1-3), 229-241. https://doi.org/10.1016/S0165-0114(83)80082-7
  47. Van Wassenhove, L. N. (2006). Humanitarian aid logistics: supply chain management in high gear. Journal of the Operational Research Society, 57(5), 475-489. https://doi.org/10.1057/palgrave.jors.2602125
  48. Yadav, D. K., & Barve, A. (2015). Analysis of critical success factors of humanitarian supply chain: An application of interpretive structural modeling. International Journal of Disaster Risk Reduction, 12, 213-225. https://doi.org/10.1016/j.ijdrr.2015.01.008
  49. Yadav, D. K., & Barve, A. (2018). Segmenting critical success factors of humanitarian supply chains using fuzzy DEMATEL. Benchmarking: An International Journal, 25(2), 400-425. https://doi.org/10.1108/BIJ-10-2016-0154
  50. Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X
  51. Zimmermann, H. J. (2010). Fuzzy set theory. Wiley interdisciplinary reviews: computational statistics, 2(3), 317-332. https://doi.org/10.1002/wics.82
  52. Zhang, Y. (2025). Enhancing humanitarian supply chains: the role of interpersonal skills and big data and predictive analytics. Journal of Humanitarian Logistics and Supply Chain Management. Advance online publication. https://doi.org/10.1108/JHLSCM-12-2024-0175