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MANAGING RISKS AND CRISES IN THE LOGISTICS SECTOR: A COMPREHENSIVE ANALYSIS OF STRATEGIES AND PRIORITIZATION USING AHP METHOD

Yıl 2023, Cilt: 7 Sayı: Özel Sayı, 114 - 148, 31.10.2023
https://doi.org/10.54707/meric.1335033

Öz

Dinamik ve karmaşık lojistik sektöründe, risklerin ve krizlerin ortaya çıkışı etkili yönetim stratejilerine olan kritik ihtiyacı beraberinde getirmektedir. Bu araştırma, lojistik endüstrisindeki risk ve kriz yönetimi uygulamalarını kapsamlı bir şekilde analiz ederek, uygun stratejileri belirlemeyi ve bunları Analitik Hiyerarşi Süreci (AHP) yöntemi ile önceliklendirmeyi amaçlamaktadır. Beş endüstri uzmanı ile yapılan görüşmeler aracılığıyla ve derinlemesine literatür taraması ile bu çalışma lojistik şirketlerinin karşılaştığı zorlukları ve mevcut risk ve kriz yönetimi yaklaşımlarını ortaya çıkarmaktadır. AHP yöntemi kullanılarak, araştırma bu stratejileri önemleri ve potansiyel etkileri temelinde sistematik bir çerçeve ile önceliklendirmektedir. Bulgular, stratejik risk ve kriz yönetimi araç setinin gelişimine katkıda bulunmakta ve lojistik firmalarının zorluklarla etkin bir şekilde başa çıkmasını, uyum sağlamasını ve dinamik iş ortamında dayanıklılığını güçlendirmesini sağlamaktadır. Bu çalışma, lojistik profesyonelleri, akademisyenler ve politika yapıcılar için değerli bilgiler sunarak, onların lojistik sektöründe operasyonel verimliliği artırmak ve uzun vadeli sürdürülebilirliği sağlamak için harekete geçmelerine olanak tanıyacaktır.

Kaynakça

  • Adıgüzel, S. (2022). Afet durumlarinda yapay zeka teknolojisi ile lojistik yönetimi örnekleri. Akademik İzdüşüm Dergisi, 7(1), 47-70.
  • Ahmed, W., Najmi, A., & Khan, A. (2020). Analysing supply chain risk management capabilities through collaborative and integrative approach. International Journal of Business Process Integration and Management, 10(1), 29-41.
  • Akbal, H. (2023). Afetlerde Lojistik Ve Tedarik Zinciri Yönetimi. Olağan Dışı Durumlarda Sağlık Yönetimi, 155.
  • Albertijn, S., Bessler, W., & Drobetz, W. (2011). Financing shipping companies and shipping operations: A risk‐management perspective. Journal of Applied Corporate Finance, 23(4), 70-82.
  • Almoradie, A., Cortes, V. J., & Jonoski, A. (2015). Web‐based stakeholder collaboration in flood risk management. Journal of Flood Risk Management, 8(1), 19-38.
  • Amin, F. U., Dong, Q. L., Grzybowska, K., Ahmed, Z., & Yan, B. R. (2022). A Novel Fuzzy-Based VIKOR–CRITIC soft computing method for evaluation of sustainable supply chain risk management. Sustainability, 14(5), 2827.
  • Asadabadi, M. R., Chang, E., & Saberi, M. (2019). Are MCDM methods useful? A critical review of analytic hierarchy process (AHP) and analytic network process (ANP). Cogent Engineering, 6(1), 1623153.
  • 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.
  • Bartosova, T., Taraba, P., & Peterek, K. (2021). Approach to the risk management process in logistics companies. Chemical engineering transactions, 86, 403-408.
  • Bartosova, T., Taraba, P., & Peterek, K. (2021). Approach to the risk management process in logistics companies. Chemical engineering transactions, 86, 403-408.
  • Bezpartochna, O. (2023). A COMPREHENSIVE APPROACH TO RISK MANAGEMENT OF LOGISTICS. Food security: modern challenges and mechanisms to ensure, 127.
  • Cerabona, T., Lauras, M., Gitto, J. P., Montreuil, B., & Benaben, F. (2021). Atomic Supply Chain Modelling for Risk Management Based on SCOR. In Smart and Sustainable Collaborative Networks 4.0: 22nd IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2021, Saint-Étienne, France, November 22–24, 2021, Proceedings 22 (pp. 601-610). Springer International Publishing.
  • Choi, T. M., Chiu, C. H., & Chan, H. K. (2016). Risk management of logistics systems. Transportation Research Part E: Logistics and Transportation Review, 90, 1-6.
  • Colicchia, C., & Strozzi, F. (2012). Supply chain risk management: a new methodology for a systematic literature review. Supply Chain Management: An International Journal, 17(4), 403-418
  • Çiçek, S. (2020). Lojistik sektöründe hile riski yönetimi ve iç kontrol sisteminin etkinliği (Master's thesis, İstanbul Gelişim Üniversitesi Lisansüstü Eğitim Enstitüsü).
  • de FSM Russo, R., & Camanho, R. (2015). Criteria in AHP: A systematic review of literature. Procedia Computer Science, 55, 1123-1132.
  • Deng, X., Yang, X., Zhang, Y., Li, Y., & Lu, Z. (2019). Risk propagation mechanisms and risk management strategies for a sustainable perishable products supply chain. Computers & Industrial Engineering, 135, 1175-1187.
  • Denga, E. M., & Rakshit, S. (2022). Supply Chain Logistics Risk Mitigation: Impact of the COVID-19 Pandemic. In Global Risk and Contingency Management Research in Times of Crisis (pp. 99-121). IGI Global.
  • Eygü, H., & Karabacak, E. (2017). Afet Lojistik Yönetimi Temelinde Risk Yönetim Endeksi Verileriyle Türkiye İle Ab Üye Ülkelerinin Karşilaştirmasi. İktisadi ve İdari Bilimler Dergisi, 627.
  • Feng, Y., & Cui, S. (2021). A review of emergency response in disasters: present and future perspectives. Natural hazards, 105, 1109-1138.
  • Fonseca, L. M., & Azevedo, A. L. (2020). COVID-19: outcomes for global supply chains. Management & Marketing. Challenges for the Knowledge Society, 15(s1), 424-438.
  • Gaudenzi, B., & Borghesi, A. (2006). Managing risks in the supply chain using the AHP method. The International Journal of Logistics Management, 17(1), 114-136.
  • Gupta, A., & Singh, R. K. (2021). Applications of emerging technologies in logistics sector for achieving circular economy goals during COVID 19 pandemic: analysis of critical success factors. International Journal of Logistics Research and Applications, 1-22.
  • Gurtu, A., & Johny, J. (2021). Supply chain risk management: Literature review. Risks, 9(1), 16. Gutierrez-Franco, E., Mejia-Argueta, C., & Rabelo, L. (2021). Data-driven methodology to support long-lasting logistics and decision making for urban last-mile operations. Sustainability, 13(11), 6230.
  • Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational researcher, 33(7), 14-26.
  • Karli, H., & Tanyaş, M. (2020). Pandemi durumunda tedarik zinciri risk yönetimine ilişkin öneriler. İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, 19(37), 174-190.
  • Korucuk, S., & Erdal, H. (2018). AHP-VIKOR Bütünleşik Yaklaşımıyla Lojistik Risk Faktörlerinin ve Risk Yönetimi Araçlarının Sıralanması: Samsun İli Örneği. İşletme Araştırmaları Dergisi, 10(3), 282-305.
  • Kumar, A., Mangla, S. K., Kumar, P., & Song, M. (2021). Mitigate risks in perishable food supply chains: Learning from COVID-19. Technological Forecasting and Social Change, 166, 120643.
  • Li, L., Gong, Y., Wang, Z., & Liu, S. (2023). Big data and big disaster: a mechanism of supply chain risk management in global logistics industry. International Journal of Operations & Production Management, 43(2), 274-307.
  • Manuj, I., & Mentzer, J. T. (2008). Global supply chain risk management strategies. International Journal of Physical Distribution & Logistics Management, 38(3), 192-223.
  • Ndambuki, D. K., & Al Hitmi, H. K. (2021). Transportation Planning and Resilience in Countries with High Risks of Natural Disasters: The Case of Haiti. Available at SSRN 4008746.
  • Nimmy, S. F., Hussain, O. K., Chakrabortty, R. K., Hussain, F. K., & Saberi, M. (2022). Explainability in supply chain operational risk management: A systematic literature review. Knowledge-Based Systems, 235, 107587.
  • Panjehfouladgaran, H., & Lim, S. F. W. (2020). Reverse logistics risk management: identification, clustering and risk mitigation strategies. Management Decision, 58(7), 1449-1474.
  • Pundir, A. K., Jagannath, J. D., & Ganapathy, L. (2019, January). Improving supply chain visibility using IoT-internet of things. In 2019 ieee 9th annual computing and communication workshop and conference (ccwc) (pp. 0156-0162). IEEE.
  • Saaty, T. L. (1990). An exposition of the AHP in reply to the paper “remarks on the analytic hierarchy process”. Management science, 36(3), 259-268.
  • Saaty, T. L., & Hu, G. (1998). Ranking by eigenvector versus other methods in the analytic hierarchy process. Applied Mathematics Letters, 11(4), 121-125.1
  • Sawyerr, E., & Harrison, C. (2020). Developing resilient supply chains: lessons from high-reliability organisations. Supply Chain Management: An International Journal, 25(1), 77-100.
  • Schleper, M. C., Gold, S., Trautrims, A., & Baldock, D. (2021). Pandemic-induced knowledge gaps in operations and supply chain management: COVID-19’s impacts on retailing. International Journal of Operations & Production Management, 41(3), 193-205.
  • Smith, P. G., & Merritt, G. M. (2020). Proactive risk management: Controlling uncertainty in product development. CRC Press.
  • Symstad, A. J., Fisichelli, N. A., Miller, B. W., Rowland, E., & Schuurman, G. W. (2017). Multiple methods for multiple futures: Integrating qualitative scenario planning and quantitative simulation modeling for natural resource decision making. Climate Risk Management, 17, 78-91.
  • Wu, P. J., & Chaipiyaphan, P. (2020). Diagnosis of delivery vulnerability in a logistics system for logistics risk management. The International Journal of Logistics Management, 31(1), 43-58.
  • Wu, P. J., & Chaipiyaphan, P. (2020). Diagnosis of delivery vulnerability in a logistics system for logistics risk management. The International Journal of Logistics Management, 31(1), 43-58.
  • Yang, J., Xie, H., Yu, G., & Liu, M. (2021). Antecedents and consequences of supply chain risk management capabilities: An investigation in the post-coronavirus crisis. International Journal of Production Research, 59(5), 1573-1585.
  • Yu, Z., Razzaq, A., Rehman, A., Shah, A., Jameel, K., & Mor, R. S. (2021). Disruption in global supply chain and socio-economic shocks: a lesson from COVID-19 for sustainable production and consumption. Operations Management Research, 1-16.
  • Zimon, D., & Madzík, P. (2020). Standardized management systems and risk management in the supply chain. International Journal of Quality & Reliability Management, 37(2), 305-327.

Managing Risks and Crises in the Logistics Sector: A Comprehensive Analysis of Strategies and Prioritization Using AHP Method

Yıl 2023, Cilt: 7 Sayı: Özel Sayı, 114 - 148, 31.10.2023
https://doi.org/10.54707/meric.1335033

Öz

In the fast-paced and intricate landscape of the logistics sector, the emergence of risks and crises presents a critical need for effective management strategies. This research undertakes a comprehensive analysis of risk and crisis management practices within the logistics industry, aiming to identify viable strategies and prioritize them using the Analytic Hierarchy Process (AHP) method. Through an in-depth literature review and insights gathered from interviews with five industry experts, this study unveils the challenges faced by logistics companies and unveils existing risk and crisis management approaches. Employing the AHP method, the research provides a systematic framework for prioritizing these strategies based on their significance and potential impact. The findings contribute to the development of a strategic risk and crisis management toolkit, empowering logistics firms to proactively address challenges, ensure adaptability, and bolster resilience amidst a dynamic business environment. The insights provided by this study will prove invaluable to logistics professionals, scholars, and policymakers, enabling them to take actionable measures that enhance operational efficiency and ensure long-term sustainability within the logistics sector.

Kaynakça

  • Adıgüzel, S. (2022). Afet durumlarinda yapay zeka teknolojisi ile lojistik yönetimi örnekleri. Akademik İzdüşüm Dergisi, 7(1), 47-70.
  • Ahmed, W., Najmi, A., & Khan, A. (2020). Analysing supply chain risk management capabilities through collaborative and integrative approach. International Journal of Business Process Integration and Management, 10(1), 29-41.
  • Akbal, H. (2023). Afetlerde Lojistik Ve Tedarik Zinciri Yönetimi. Olağan Dışı Durumlarda Sağlık Yönetimi, 155.
  • Albertijn, S., Bessler, W., & Drobetz, W. (2011). Financing shipping companies and shipping operations: A risk‐management perspective. Journal of Applied Corporate Finance, 23(4), 70-82.
  • Almoradie, A., Cortes, V. J., & Jonoski, A. (2015). Web‐based stakeholder collaboration in flood risk management. Journal of Flood Risk Management, 8(1), 19-38.
  • Amin, F. U., Dong, Q. L., Grzybowska, K., Ahmed, Z., & Yan, B. R. (2022). A Novel Fuzzy-Based VIKOR–CRITIC soft computing method for evaluation of sustainable supply chain risk management. Sustainability, 14(5), 2827.
  • Asadabadi, M. R., Chang, E., & Saberi, M. (2019). Are MCDM methods useful? A critical review of analytic hierarchy process (AHP) and analytic network process (ANP). Cogent Engineering, 6(1), 1623153.
  • 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.
  • Bartosova, T., Taraba, P., & Peterek, K. (2021). Approach to the risk management process in logistics companies. Chemical engineering transactions, 86, 403-408.
  • Bartosova, T., Taraba, P., & Peterek, K. (2021). Approach to the risk management process in logistics companies. Chemical engineering transactions, 86, 403-408.
  • Bezpartochna, O. (2023). A COMPREHENSIVE APPROACH TO RISK MANAGEMENT OF LOGISTICS. Food security: modern challenges and mechanisms to ensure, 127.
  • Cerabona, T., Lauras, M., Gitto, J. P., Montreuil, B., & Benaben, F. (2021). Atomic Supply Chain Modelling for Risk Management Based on SCOR. In Smart and Sustainable Collaborative Networks 4.0: 22nd IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2021, Saint-Étienne, France, November 22–24, 2021, Proceedings 22 (pp. 601-610). Springer International Publishing.
  • Choi, T. M., Chiu, C. H., & Chan, H. K. (2016). Risk management of logistics systems. Transportation Research Part E: Logistics and Transportation Review, 90, 1-6.
  • Colicchia, C., & Strozzi, F. (2012). Supply chain risk management: a new methodology for a systematic literature review. Supply Chain Management: An International Journal, 17(4), 403-418
  • Çiçek, S. (2020). Lojistik sektöründe hile riski yönetimi ve iç kontrol sisteminin etkinliği (Master's thesis, İstanbul Gelişim Üniversitesi Lisansüstü Eğitim Enstitüsü).
  • de FSM Russo, R., & Camanho, R. (2015). Criteria in AHP: A systematic review of literature. Procedia Computer Science, 55, 1123-1132.
  • Deng, X., Yang, X., Zhang, Y., Li, Y., & Lu, Z. (2019). Risk propagation mechanisms and risk management strategies for a sustainable perishable products supply chain. Computers & Industrial Engineering, 135, 1175-1187.
  • Denga, E. M., & Rakshit, S. (2022). Supply Chain Logistics Risk Mitigation: Impact of the COVID-19 Pandemic. In Global Risk and Contingency Management Research in Times of Crisis (pp. 99-121). IGI Global.
  • Eygü, H., & Karabacak, E. (2017). Afet Lojistik Yönetimi Temelinde Risk Yönetim Endeksi Verileriyle Türkiye İle Ab Üye Ülkelerinin Karşilaştirmasi. İktisadi ve İdari Bilimler Dergisi, 627.
  • Feng, Y., & Cui, S. (2021). A review of emergency response in disasters: present and future perspectives. Natural hazards, 105, 1109-1138.
  • Fonseca, L. M., & Azevedo, A. L. (2020). COVID-19: outcomes for global supply chains. Management & Marketing. Challenges for the Knowledge Society, 15(s1), 424-438.
  • Gaudenzi, B., & Borghesi, A. (2006). Managing risks in the supply chain using the AHP method. The International Journal of Logistics Management, 17(1), 114-136.
  • Gupta, A., & Singh, R. K. (2021). Applications of emerging technologies in logistics sector for achieving circular economy goals during COVID 19 pandemic: analysis of critical success factors. International Journal of Logistics Research and Applications, 1-22.
  • Gurtu, A., & Johny, J. (2021). Supply chain risk management: Literature review. Risks, 9(1), 16. Gutierrez-Franco, E., Mejia-Argueta, C., & Rabelo, L. (2021). Data-driven methodology to support long-lasting logistics and decision making for urban last-mile operations. Sustainability, 13(11), 6230.
  • Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational researcher, 33(7), 14-26.
  • Karli, H., & Tanyaş, M. (2020). Pandemi durumunda tedarik zinciri risk yönetimine ilişkin öneriler. İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, 19(37), 174-190.
  • Korucuk, S., & Erdal, H. (2018). AHP-VIKOR Bütünleşik Yaklaşımıyla Lojistik Risk Faktörlerinin ve Risk Yönetimi Araçlarının Sıralanması: Samsun İli Örneği. İşletme Araştırmaları Dergisi, 10(3), 282-305.
  • Kumar, A., Mangla, S. K., Kumar, P., & Song, M. (2021). Mitigate risks in perishable food supply chains: Learning from COVID-19. Technological Forecasting and Social Change, 166, 120643.
  • Li, L., Gong, Y., Wang, Z., & Liu, S. (2023). Big data and big disaster: a mechanism of supply chain risk management in global logistics industry. International Journal of Operations & Production Management, 43(2), 274-307.
  • Manuj, I., & Mentzer, J. T. (2008). Global supply chain risk management strategies. International Journal of Physical Distribution & Logistics Management, 38(3), 192-223.
  • Ndambuki, D. K., & Al Hitmi, H. K. (2021). Transportation Planning and Resilience in Countries with High Risks of Natural Disasters: The Case of Haiti. Available at SSRN 4008746.
  • Nimmy, S. F., Hussain, O. K., Chakrabortty, R. K., Hussain, F. K., & Saberi, M. (2022). Explainability in supply chain operational risk management: A systematic literature review. Knowledge-Based Systems, 235, 107587.
  • Panjehfouladgaran, H., & Lim, S. F. W. (2020). Reverse logistics risk management: identification, clustering and risk mitigation strategies. Management Decision, 58(7), 1449-1474.
  • Pundir, A. K., Jagannath, J. D., & Ganapathy, L. (2019, January). Improving supply chain visibility using IoT-internet of things. In 2019 ieee 9th annual computing and communication workshop and conference (ccwc) (pp. 0156-0162). IEEE.
  • Saaty, T. L. (1990). An exposition of the AHP in reply to the paper “remarks on the analytic hierarchy process”. Management science, 36(3), 259-268.
  • Saaty, T. L., & Hu, G. (1998). Ranking by eigenvector versus other methods in the analytic hierarchy process. Applied Mathematics Letters, 11(4), 121-125.1
  • Sawyerr, E., & Harrison, C. (2020). Developing resilient supply chains: lessons from high-reliability organisations. Supply Chain Management: An International Journal, 25(1), 77-100.
  • Schleper, M. C., Gold, S., Trautrims, A., & Baldock, D. (2021). Pandemic-induced knowledge gaps in operations and supply chain management: COVID-19’s impacts on retailing. International Journal of Operations & Production Management, 41(3), 193-205.
  • Smith, P. G., & Merritt, G. M. (2020). Proactive risk management: Controlling uncertainty in product development. CRC Press.
  • Symstad, A. J., Fisichelli, N. A., Miller, B. W., Rowland, E., & Schuurman, G. W. (2017). Multiple methods for multiple futures: Integrating qualitative scenario planning and quantitative simulation modeling for natural resource decision making. Climate Risk Management, 17, 78-91.
  • Wu, P. J., & Chaipiyaphan, P. (2020). Diagnosis of delivery vulnerability in a logistics system for logistics risk management. The International Journal of Logistics Management, 31(1), 43-58.
  • Wu, P. J., & Chaipiyaphan, P. (2020). Diagnosis of delivery vulnerability in a logistics system for logistics risk management. The International Journal of Logistics Management, 31(1), 43-58.
  • Yang, J., Xie, H., Yu, G., & Liu, M. (2021). Antecedents and consequences of supply chain risk management capabilities: An investigation in the post-coronavirus crisis. International Journal of Production Research, 59(5), 1573-1585.
  • Yu, Z., Razzaq, A., Rehman, A., Shah, A., Jameel, K., & Mor, R. S. (2021). Disruption in global supply chain and socio-economic shocks: a lesson from COVID-19 for sustainable production and consumption. Operations Management Research, 1-16.
  • Zimon, D., & Madzík, P. (2020). Standardized management systems and risk management in the supply chain. International Journal of Quality & Reliability Management, 37(2), 305-327.
Toplam 45 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Politika ve Yönetim (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Filiz Mızrak 0000-0002-3472-394X

Yayımlanma Tarihi 31 Ekim 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 7 Sayı: Özel Sayı

Kaynak Göster

APA Mızrak, F. (2023). Managing Risks and Crises in the Logistics Sector: A Comprehensive Analysis of Strategies and Prioritization Using AHP Method. Meriç Uluslararası Sosyal Ve Stratejik Araştırmalar Dergisi, 7(Özel Sayı), 114-148. https://doi.org/10.54707/meric.1335033
AMA Mızrak F. Managing Risks and Crises in the Logistics Sector: A Comprehensive Analysis of Strategies and Prioritization Using AHP Method. Meriç Uluslararası Sosyal ve Stratejik Araştırmalar Dergisi. Ekim 2023;7(Özel Sayı):114-148. doi:10.54707/meric.1335033
Chicago Mızrak, Filiz. “Managing Risks and Crises in the Logistics Sector: A Comprehensive Analysis of Strategies and Prioritization Using AHP Method”. Meriç Uluslararası Sosyal Ve Stratejik Araştırmalar Dergisi 7, sy. Özel Sayı (Ekim 2023): 114-48. https://doi.org/10.54707/meric.1335033.
EndNote Mızrak F (01 Ekim 2023) Managing Risks and Crises in the Logistics Sector: A Comprehensive Analysis of Strategies and Prioritization Using AHP Method. Meriç Uluslararası Sosyal ve Stratejik Araştırmalar Dergisi 7 Özel Sayı 114–148.
IEEE F. Mızrak, “Managing Risks and Crises in the Logistics Sector: A Comprehensive Analysis of Strategies and Prioritization Using AHP Method”, Meriç Uluslararası Sosyal ve Stratejik Araştırmalar Dergisi, c. 7, sy. Özel Sayı, ss. 114–148, 2023, doi: 10.54707/meric.1335033.
ISNAD Mızrak, Filiz. “Managing Risks and Crises in the Logistics Sector: A Comprehensive Analysis of Strategies and Prioritization Using AHP Method”. Meriç Uluslararası Sosyal ve Stratejik Araştırmalar Dergisi 7/Özel Sayı (Ekim 2023), 114-148. https://doi.org/10.54707/meric.1335033.
JAMA Mızrak F. Managing Risks and Crises in the Logistics Sector: A Comprehensive Analysis of Strategies and Prioritization Using AHP Method. Meriç Uluslararası Sosyal ve Stratejik Araştırmalar Dergisi. 2023;7:114–148.
MLA Mızrak, Filiz. “Managing Risks and Crises in the Logistics Sector: A Comprehensive Analysis of Strategies and Prioritization Using AHP Method”. Meriç Uluslararası Sosyal Ve Stratejik Araştırmalar Dergisi, c. 7, sy. Özel Sayı, 2023, ss. 114-48, doi:10.54707/meric.1335033.
Vancouver Mızrak F. Managing Risks and Crises in the Logistics Sector: A Comprehensive Analysis of Strategies and Prioritization Using AHP Method. Meriç Uluslararası Sosyal ve Stratejik Araştırmalar Dergisi. 2023;7(Özel Sayı):114-48.