Journals / İşletme / 2026 / Cilt: 7 Sayı: 1

The effectiveness of strategies for improving supply chain resilience: A comparative assessment

Tedarik zinciri dayanıklılığını geliştirmeye yönelik stratejilerin etkinliği: Karşılaştırmalı bir değerlendirme

Zafer Duran(ALANYA ALAADDİN KEYKUBAT ÜNİVERSİTESİ)0000-0002-7227-4196
Journal
İşletme
Pages
67–87
Publication Date
2026-03-22
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The evaluation results indicated that agility ranked first as the most effective strategy, followed by diversification and collaboration strategies.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Geopolitical tensions, pandemics, natural disasters, and global trade disputes disrupt supply chains, creating significant challenges for firms.
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Key Findings & Data:The increased frequency of such events has elevated supply chain resilience from an operational agenda item to a strategic priority for businesses.
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Conclusion & Impact:The evaluation results indicated that agility ranked first as the most effective strategy, followed by diversification and collaboration strategies.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Tedarik Zinciri Dayanıklılığı · Tedarik Zinciri Dayanıklılık Stratejileri · En İyi-En Kötü Yöntemi

Abstract

Geopolitical tensions, pandemics, natural disasters, and global trade disputes disrupt supply chains, creating significant challenges for firms. The increased frequency of such events has elevated supply chain resilience from an operational agenda item to a strategic priority for businesses. Although this trend has led to a growing body of resilience strategies in the literature, the number of studies that quantitatively compare their relative effectiveness remains limited. This study aims to contribute to filling this gap in the literature by comparatively analyzing the effectiveness of strategies that promise to enhance supply chain resilience under Türkiye's conditions. For this purpose, prominent strategies from the literature were first compiled, and six were selected for evaluation. Subsequently, to determine the relative effectiveness of the selected strategies, the judgments of four experienced supply chain experts were analyzed using the Best-Worst Method (BWM). The evaluation results indicated that agility ranked first as the most effective strategy, followed by diversification and collaboration strategies. Redundancy strategy, on the other hand, ranked last among the evaluated strategies.

Özet

Jeopolitik gerilimler, salgın hastalıklar, doğal afetler ve küresel ticaret anlaşmazlıkları tedarik zincirlerinin akışını bozarak önemli aksaklıklara neden olmaktadır. Günümüzde bu tür olayların sıklığının artması, tedarik zincirinin dayanıklılığını operasyonel bir gündem maddesi olmaktan çıkararak işletmeler için stratejik bir öncelik haline getirmiştir. Bu eğilim, literatürde dayanıklılığı artırmaya yönelik çok sayıda stratejinin önerilmesine yol açmış olsa da bu stratejilerin göreceli etkinliğini nicel olarak karşılaştıran çalışmalar sınırlı düzeydedir. Bu çalışma, tedarik zinciri dayanıklılığını artırmayı vaat eden stratejilerin Türkiye koşullarındaki etkinliğini göreceli bir şekilde analiz ederek literatürdeki bu boşluğun doldurulmasına katkı sağlamayı amaçlamaktadır. Bu amaç doğrultusunda ilk olarak literatürde öne çıkan stratejiler derlenmiş ve değerlendirme işleminde kullanılmak üzere altı strateji seçilmiştir. Ardından seçilen stratejilerin göreceli etkinliğini belirlemek amacıyla deneyimli dört tedarik zinciri uzmanının yargıları En İyi-En Kötü Yöntemi (BWM) kullanılarak analiz edilmiştir. Değerlendirme sonuçlarında çeviklik en etkili strateji olarak ilk sırada yer alırken, bu stratejiyi çeşitlendirme ve iş birliği stratejileri izlemiştir. Yedeklik stratejisi ise değerlendirilen stratejiler arasında en az etkili strateji olarak son sırada yer almıştır.

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Cite This Article

Duran, Z. (2026). The effectiveness of strategies for improving supply chain resilience: A comparative assessment. İşletme, Cilt: 7 Sayı: 1, 67–87. https://doi.org/10.57116/isletme.1875775

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References (79)

  1. Ajripour, I., & Hanne, T. (2023). Using the fuzzy best worst method for evaluating strategic planning models. Processes, 11(4), 1284. https://doi.org/10.3390/pr11041284
  2. Alhaderi, S. M. (2025). The interaction of diversification strategies, resilience, and digital capabilities in drriving supply chain sustainability in Saudi Arabia. Sustainability, 17(18), 8299. https://doi.org/10.3390/su17188299
  3. Ambulkar, S., Blackhurst, J., & Grawe, S. (2015). Firm's resilience to supply chain disruptions: Scale development and empirical examination. Journal of Operations Management, 33, 111-122. https://doi.org/10.1016/ j.jom.2014.11.002
  4. Ar-Rafif, N. Z., & Revindo, M. D. (2025). Effects of import source diversity to supply chain resilience: Analysis of machinery industries in RCEP countries. East Asian Policy, 17(01), 56-82. https://doi.org/ 10.1142/S1793930525000042
  5. Aslam, H., Khan, A. Q., Rashid, K., & Rehman, S. U. (2020). Achieving supply chain resilience: the role of supply chain ambidexterity and supply chain agility. Journal of Manufacturing Technology Management, 31(6), 1185-1204. https://doi.org/10.1108/JMTM-07-2019-0263
  6. Atan, T., & Temur, G. T. (2023). A unified multiplicative group Best-Worst Method with a new assessment approach for dissimilar markets. Informatica, 34(3), 465-489. https://doi.org/10.15388/23-INFOR528
  7. Aytaç Adalı, E, & Çağlar, A. (2023). Group decision making in best-worst method when the best and worst are not unique: case study of scholar selection. Pamukkale University Journal of Engineering Sciences, 29(1), 30-44. https://doi.org/10.5505/pajes.2022.08043
  8. Azadegan, A., Modi, S., & Lucianetti, L. (2021). Surprising supply chain disruptions: Mitigation effects of operational slack and supply redundancy. International Journal of Production Economics, 240, 108218. https://doi.org/10.1016/j.ijpe.2021.108218
  9. Brandon‐Jones, E., Squire, B., Autry, C. W., & Petersen, K. J. (2014). A contingent resource‐based perspective of supply chain resilience and robustness. Journal of Supply Chain Management, 50(3), 55-73. https://doi.org/10.1111/jscm.12050
  10. Christopher, M., & Peck, H. (2004). Building the resilient supply chain. International Journal of Logistics Management, 15(2), 1-13. https://doi.org/10.1108/09574090410700275
  11. Cohen, M., Cui, S., Doetsch, S., Ernst, R., Huchzermeier, A., Kouvelis, P.,. & Tsay, A. A. (2022). Bespoke supply‐chain resilience: the gap between theory and practice. Journal of Operations Management, 68(5), 515-531. https://doi.org/10.1002/joom.1184
  12. Coşkun, A. E., & Erturgut, R. (2024). How do uncertainties affect supply-chain resilience? The moderating role of information sharing for sustainable supply-chain management. Sustainability, 16(1), 131. https://doi.org/10.3390/su16010131
  13. Delbufalo, E. (2022). Disentangling the multifaceted effects of supply base complexity on supply chain agility and resilience. International Journal of Physical Distribution & Logistics Management, 52(8), 700-721. https://doi.org/10.1108/IJPDLM-07-2021-0302
  14. Dong, J., Wan, S., & Chen, S. M. (2021). Fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making. Information Sciences, 547, 1080-1104. https://doi.org/10.1016/j.ins.2020.09.014
  15. Ergun, O., Hopp, W. J., & Keskinocak, P. (2023). A structured overview of insights and opportunities for enhancing supply chain resilience. IISE Transactions, 55(1), 57-74. https://doi.org/10.1080/24725854.2022. 2080892
  16. Ghobakhloo, M., Iranmanesh, M., Foroughi, B., Tseng, M. L., Nikbin, D., & Khanfar, A. A. (2025). Industry 4.0 digital transformation and opportunities for supply chain resilience: a comprehensive review and a strategic roadmap. Production Planning & Control, 36(1), 61-91. https://doi.org/10.1080/09537287. 2023.2252376
  17. Habibi, F., Chakrabortty, R. K., Abbasi, A., & Ho, W. (2026). Building resilient closed-loop supply chains: resilience enablers and diversified sourcing under global disruptions. International Journal of Production Research, 64(1), 192-219. https://doi.org/10.1080/00207543.2025.2546653
  18. Hafezalkotob, A., & Hafezalkotob, A. (2017). A novel approach for combination of individual and group decisions based on fuzzy best-worst method. Applied Soft Computing, 59, 316-325. https://doi.org/10.1016 /j.asoc.2017.05.036
  19. Han, Y. (2025). Navigating supply chain resilience in the knowledge economy: insights from digital technologies and organizational information processing. Journal of the Knowledge Economy, 16(2), 9898-9931. https://doi.org/10.1007/s13132-024-02289-x
  20. Harland, C., Brenchley, R., & Walker, H. (2003). Risk in supply networks. Journal of Purchasing and Supply management, 9(2), 51-62. https://doi.org/10.1016/S1478-4092(03)00004-9
  21. Hosseini Shekarabi, S. A., Kiani Mavi, R., & Romero Macau, F. (2025). Supply chain resilience: A critical review of risk mitigation, robust optimisation, and technological solutions and future research directions. Global Journal of Flexible Systems Management, 26(3), 681-735. https://doi.org/10.1007/s40171-025-00458-8
  22. Hsieh, C., Chen, S. L., & Huang, C. C. (2023). Investigating the role of supply chain environmental risk in shaping the nexus of supply chain agility, resilience, and performance. Sustainability, 15 (20), 15003. https://doi.org/10.3390/su152015003
  23. Huang, Y. F., Phan, V. D. V., & Do, M. H. (2023). The impacts of supply chain capabilities, visibility, resilience on supply chain performance and firm performance. Administrative Sciences, 13(10), 225. https://doi.org/10.3390/admsci13100225
  24. Ivanov, D. (2024a). Transformation of supply chain resilience research through the COVID-19 pandemic. International Journal of Production Research, 62(23), 8217-8238. https://doi.org/10.1080/ 00207543.2024.2334420
  25. Ivanov, D. (2024b). Supply chain resilience: Conceptual and formal models drawing from immune system analogy. Omega, 127, 103081. https://doi.org/10.1016/j.omega.2024.103081
  26. Ivanov, D. (2024c). Two views of supply chain resilience. International Journal of Production Research, 62(11), 4031-4045. https://doi.org/10.1080/00207543.2023.2253328
  27. Ivanov, D. (2025). Comparative analysis of product and network supply chain resilience. International Transactions in Operational Research, 1-19. https://doi.org/10.1111/itor.13612
  28. Jia, F., Hu, S., & Chen, L. (2025). Does supply chain visibility improve firm resilience: An organizational information processing theory perspective. Transportation Research Part E: Logistics and Transportation Review, 204, 104428. https://doi.org/10.1016/j.tre.2025.104428
  29. Jia, L., & Li, J. (2024). How does digital collaboration impact supply chain resilience. Finance Research Letters, 66, 105684. https://doi.org/10.1016/j.frl.2024.105684
  30. Kahiluoto, H., Mäkinen, H., & Kaseva, J. (2020). Supplying resilience through assessing diversity of responses to disruption. International Journal of Operations & Production Management, 40(3), 271-292. https://doi.org/10.1108/IJOPM-01-2019-0006
  31. Kamalahmadi, M., Shekarian, M., & Mellat Parast, M. (2022). The impact of flexibility and redundancy on improving supply chain resilience to disruptions. International Journal of Production Research, 60(6), 1992-2020. https://doi.org/10.1080/00207543.2021.1883759
  32. Katsaliaki, K., Galetsi, P., & Kumar, S. (2022). Supply chain disruptions and resilience: a major review and future research agenda. Annals of operations research, 319(1), 965-1002. https://doi.org/10.1007/s10479-020-03912-1
  33. Kleindorfer, P. R., & Saad, G. H. (2005). Managing disruption risks in supply chains. Production and Operations Management, 14(1), 53-68. https://doi.org/10.1111/j.1937-5956.2005.tb00009.x
  34. Kiers, J., Seinhorst, J., Zwanenburg, M., & Stek, K. (2022). Which strategies and corresponding competences are needed to improve supply chain resilience: A COVID-19 based review. Logistics, 6(1), 12. https://doi.org/10.3390/logistics6010012
  35. Kumar Singh, R. & Modgil, S. (2025). Adapting to disruption: the impact of agility, absorptive capacity and ambidexterity on supply chain resilience. International Journal of Productivity and Performance Management, 74(2), 637-658. https://doi.org/10.1108/IJPPM-01-2024-0057
  36. Lee, H., & Baek, S. (2025). South Korea’s supply chain diversification in response to geopolitical risk: evidence from change point detection approach to battery industry. Asia Pacific Business Review, 1-25. https://doi.org/10.1080/13602381.2025.2458649
  37. Li, C. S., Wong, C. W., Wong, C. Y., Boon-Itt, S., & Miao, X. (2023). Empirical research on performance effects of supply chain resilience: systematic literature review, citation network analysis and future research directions. International Journal of Shipping and Transport Logistics, 17(1-2), 80-106. https://doi.org/10.1504/IJSTL.2023.132655
  38. Li, P., Chen, Y., & Guo, X. (2025). Digital transformation and supply chain resilience. International Review of Economics & Finance, 99, 104033. https://doi.org/10.1016/j.iref.2025.104033
  39. Li, Y., & Sukhotu, V. (2025). Enhanced digital capabilities for building resilient supply chains: Exploring visibility, collaboration, and resilience in China's electric vehicle industry. World Electric Vehicle Journal, 16(2), 63. https://doi.org/10.3390/wevj16020063
  40. Li, Z., & Xu, M. (2024). Global supply chain resilience: Facts, rationales and responses. Economic and Political Studies, 12(3), 345-361. https://doi.org/10.1080/20954816.2024.2369419
  41. Liang, F., Brunelli, M., Septian, K., & Rezaei, J. (2021). Belief-based best worst method. International Journal of Information Technology & Decision Making, 20(01), 287-320. https://doi.org/10.1142/ S0219622020500480
  42. Long, H., Zhang, H., Wu, T., & Han, J. (2025). The effect of resource restructuring on supply chain resilience in the context of digital transformation. Systems, 13(5), 324. https://doi.org/10.3390/systems13050324
  43. Lotfi, M., & Larmour, A. (2022). Supply chain resilience in the face of uncertainty: How horizontal and vertical collaboration can help?. Continuity & Resilience Review, 4(1), 37-53. https://doi.org/10.1108/CRR-04-2021-0016
  44. Lusiantoro, L., & Yates, N. (2024). Embracing scepticism as a non-physical form of redundancy: lessons learnt from the UK blood supply chain. Production Planning & Control, 35(15), 1944-1960. https://doi.org/10.1080/09537287.2023.2217415
  45. Mackay, J., Munoz, A., & Pepper, M. (2020). Conceptualising redundancy and flexibility towards supply chain robustness and resilience. Journal of Risk Research, 23(12), 1541-1561. https://doi.org/10.1080/ 13669877.2019.1694964
  46. Mi, X., Tang, M., Liao, H., Shen, W., & Lev, B. (2019). The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next?. Omega, 87, 205-225. https://doi.org/10.1016/j.omega.2019.01.009
  47. Mirzaaliyan, M., Hajian Heidary, M., & Amiri, M. (2024). Evaluating the supply chain resilience strategies using discrete event simulation and hybrid multi-criteria decision-making (case study: natural stone industry). Journal of Simulation, 18(5), 851-867. https://doi.org/10.1080/17477778.2024.2342927
  48. Mohammadi, M., & Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega, 96, 102075. https://doi.org/10.1016/j.omega.2019.06.001
  49. Mubarik, M. S., Naghavi, N., Mubarik, M., Kusi-Sarpong, S., Khan, S. A., Zaman, S. I., & Kazmi, S. H. A. (2021). Resilience and cleaner production in industry 4.0: Role of supply chain mapping and visibility. Journal of Cleaner Production, 292, 126058. https://doi.org/10.1016/j.jclepro.2021.126058
  50. Nibbrig, M. H., Azadeh, S. S., & Maknoon, M. Y. (2025). Adaptive resilience strategies for supply chain networks against disruptions. Transportation Research Part E: Logistics and Transportation Review, 200, 104172. https://doi.org/10.1016/j.tre.2025.104172
  51. Nikookar, E., Ali, I., Stevenson, M., & Shokouhyar, S. (2025). Necessary antecedents of supply chain resilience: the nonnegotiable influence of supply chain responsiveness and collaboration. Journal of Supply Chain Management, 61(4), 54-76.https://doi.org/10.1111/jscm.70000
  52. Patrucco, A. S., Picanço Rodrigues, V., Fransoo, J. C., & Mejia‐Argueta, C. (2025). Resilient supply chains amid uncertainty: do agility, adaptability, and alignment mitigate the effects of major disruptions?. Journal of Business Logistics, 46(4), e70037. https://doi.org/10.1111/jbl.70037
  53. Pavlov, A., Ivanov, D., Pavlov, D., & Slinko, A. (2025). Optimization of network redundancy and contingency planning in sustainable and resilient supply chain resource management under conditions of structural dynamics. Annals of Operations Research, 349(2), 495-524. https://doi.org/10.1007/s10479-019-03182-6
  54. Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124-143. https://doi.org/10.1108/ 09574090910954873
  55. Qi, Y., Wang, X., Zhang, M., & Wang, Q. (2023). Developing supply chain resilience through integration: An empirical study on an e‐commerce platform. Journal of Operations Management, 69(3), 477-496. https://doi.org/10.1002/joom.1226
  56. Rao, S., & Goldsby, T. J. (2009). Supply chain risks: a review and typology. The International Journal of Logistics Management, 20(1), 97-123. https://doi.org/10.1108/09574090910954864
  57. Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57. https://doi.org/10.1016/ j.omega.2014.11.009
  58. Shashi, Centobelli, P., Cerchione, R., & Ertz, M. (2020). Managing supply chain resilience to pursue business and environmental strategies. Business Strategy and the Environment, 29(3), 1215-1246. https://doi.org/ 10.1002/bse.2428
  59. Shi, X., Liu, W., & Lim, M. K. (2024). Supply chain resilience: new challenges and opportunities. International Journal of Logistics Research and Applications, 27(12), 2485-2512. https://doi.org/10.1080/13675567. 2023.2262396
  60. Singh, J., Hamid, A. B. A., & Garza-Reyes, J. A. (2023). Supply chain resilience strategies and their impact on sustainability: an investigation from the automobile sector. Supply Chain Management: An International Journal, 28(4), 787-802. https://doi.org/10.1108/SCM-06-2022-0225
  61. Srdjevic, B., Srdjevic, Z., Reynolds, K. M., Lakicevic, M., & Zdero, S. (2022). Using analytic hierarchy process and best–worst method in group evaluation of urban park quality. Forests, 13(2), 290. https://doi.org/10.3390/f13020290
  62. Sreedevi, R., & Saranga, H. (2017). Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation. International Journal of Production Economics, 193, 332-342. https://doi.org/10.1016/j.ijpe.2017.07.024
  63. Stevens, A. W., & Teal, J. (2024). Diversification and resilience of firms in the agrifood supply chain. American Journal of Agricultural Economics, 106(2), 739-778. https://doi.org/10.1111/ajae.12398
  64. Taha, A., Khawaja, S., Qureshi, F., & Wahsheh, F. R. (2024). Exploring the relationship between supply chain collaboration, risk management strategies, and supplier development on supply chain resilience: the mediating role of trust. Journal of Project Management, 9(4), 367-386. https://doi.org/10.5267/ j.jpm.2024.7.008
  65. Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451-488. https://doi.org/10.1016/j.ijpe.2005.12.006
  66. Tiwari, M., Bryde, D. J., Stavropoulou, F., Dubey, R., Kumari, S., & Foropon, C. (2024). Modelling supply chain Visibility, digital Technologies, environmental dynamism and healthcare supply chain Resilience: An organisation information processing theory perspective. Transportation Research Part E: Logistics and Transportation Review, 188, 103613. https://doi.org/10.1016/j.tre.2024.103613
  67. Tu, J., Wu, Z., & Pedrycz, W. (2023). Priority ranking for the best-worst method. Information Sciences, 635, 42-55. https://doi.org/10.1016/j.ins.2023.03.110
  68. Um, J., & Han, N. (2021). Understanding the relationships between global supply chain risk and supply chain resilience: the role of mitigating strategies. Supply Chain Management: an International Journal, 26(2), 240-255. https://doi.org/10.1108/SCM-06-2020-0248
  69. Umar, M., & Wilson, M. (2021). Supply chain resilience: Unleashing the power of collaboration in disaster management. Sustainability, 13(19), 10573. https://www.mdpi.com/2071-1050/13/19/10573
  70. Wu, Q., Liu, X., Zhou, L., Qin, J., & Rezaei, J. (2024). An analytical framework for the best–worst method. Omega, 123, 102974. https://doi.org/10.1016/j.omega.2023.102974
  71. Yang, C., Tian, K., & Gao, X. (2025). Supply chain resilience: Measure, risk assessment and strategies. Fundamental Research, 5(2), 433-436. https://doi.org/10.1016/j.fmre.2023.03.011
  72. Yang, Z., Wu, M., Sun, J., & Zhang, Y. (2024). Aligning redundancy and flexibility for supply chain resilience: a literature synthesis. Journal of Risk Research, 27(2), 313-335. https://doi.org/10.1080/13669877. 2024.2328196
  73. Yu, Y., Xu, L., & Wen, X. (2025). The impact of digital transformation on supply chain resilience in manufacturing: The mediating role of supply chain integration. Sustainability, 17 (9), 3873. https://doi.org/10.3390/ su17093873
  74. Yuan, Y., Tan, H., & Liu, L. (2024). The effects of digital transformation on supply chain resilience: a moderated and mediated model. Journal of Enterprise Information Management, 37(2), 488-510. https://doi.org/10.1108/JEIM-09-2022-0333
  75. Zavala-Alcívar, A., Verdecho, M. J., & Alfaro-Saiz, J. J. (2023). Supply chain resilience: a conceptual evolution analysis. Dirección y Organización, 79, 5-17. https://doi.org/10.37610/dyo.v0i79.633
  76. Zhou, H., Wang, Q., & Zhao, X. (2025). Balancing stability and flexibility: The effects of blockchain adoption on supply chain resilience. International Journal of Production Economics, 286, 109671. https://doi.org/10.1016/j.ijpe.2025.109671
  77. Zhuo, R., Gong, J., & Zhao, H. (2025). Supply chain collaboration, supply chain disruption and supply chain resilience: a fuzzy-set QCA approach. Nankai Business Review International, 16(4), 579-597. https://doi.org/10.1108/NBRI-10-2024-0109
  78. Cohen, M., Cui, S., Doetsch, S., Ernst, R., Huchzermeier, A., Kouvelis, P.,. & Tsay, A. A. (2022). Bespoke supply‐chain resilience: the gap between theory and practice. Journal of Operations Management, 68(5), 515-531. https://doi.org/10.1002/joom.1184
  79. Dong, J., Wan, S., & Chen, S. M. (2021). Fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making. Information Sciences, 547, 1080-1104. https://doi.org/10.1016/j.ins.2020.09.014