Analysis of Sustainable Supply Chain Risks: An Application in the Food Industry
Year 2025,
Volume: 27 Issue: 1, 193 - 209, 03.03.2025
Damla Çevik Aka
Abstract
Limited production resources and high competition expose supply chains in the food industry to various risks. Therefore, it is crucial to manage the risks implement sustainable supply chain in the food industry. The objective of this study is to determine the importance weights of sustainable supply chain risks in the food industry (confectionery and chocolate). The results are expected to help food industry managers better manage a sustainable supply chain. In this document, the process was managed with four experts to prioritize nine sub-risk factors, including supply, demand and internal risks as the main criteria. Sub-risk factors were created with both literature review and expert opinions. BWM, one of the multi-criteria decision making methods, was used in the study. Findings show that the most important risk factors are finding sustainable suppliers and using sustainable technology. The least important risk factor in the sustainable supply chain was determined as the stock shortage due to demand change. In addition, the consistency ratio of the findings was less than 0.1, which also demonstrates the reliability of the results.
Ethical Statement
Bu çalışmanın tüm hazırlanma süreçlerinde etik kurallara ve bilimsel atıf gösterme ilkelerine riayet edildiğini yazar(lar) beyan eder. Aksi bir durumun tespiti halinde Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi’nin hiçbir sorumluluğu olmayıp, tüm sorumluluk makale yazarlarına aittir. Yazarlar etik kurul izni gerektiren çalışmalarda, izinle ilgili bilgileri (kurul adı, tarih ve sayı no) yöntem bölümünde ve ayrıca burada belirtmişlerdir.
Kurul adı: Kırklareli Üniversitesi Rektörlüğü Bilimsel Araştırmalar ve Yayın Etiği Kurulu
Tarih: 24.04.2023
No: E-35523585-302.99-83807
References
- Abdel- Basset, M. & Mohammed, R. (2020). A novel plithogenic TOPSIS- CRITIC model for sustainable supply chain risk management. Journal of Cleaner Production, 47, 119586.
- Afgan, N.H. & Carvalho, M.G. (2004). Sustainability assessment of hydrogen energy systems. International Journal of Hydrogen Energy, 29(13), 1327-1342.
- Akbari, M., Meshram, S. G., Krishna, R. S., Pradhan, B., Shadeed, S., Khedher, K.M., ... & Darabi, F. (2021). Identification of the groundwater potential recharge zones using MCDM models: Full consistency method (FUCOM), Best Worst Method (BWM) and Analytic Hierarchy Process (AHP). Water Resources Management, 35, 4727-4745.
- Alshehri, S.M.A., Jun, W.X., Shah, S.A.A. & Solangi, Y.A. (2022). Analysis of core risk factors and potential policy options for sustainable supply chain: An MCDM analysis of Saudi Arabia’s manufacturing industry. Environmental Science and Pollution Research, 1-31.
- Aqlan, F. & Lam, S.S. (2015). A fuzzy-based integrated framework for supply chain risk assessment. International Journal of Production Economics, 161, 54-63.
- Atherton, J. (2011). Supply chain sustainability. UNEP Business and Industry Global Dialogue (April), 23-26.
- Beske, P., Land, A. & Seuring, S. (2014). Sustainable supply chain management practices and dynamic capabilities in the food industry: A critical analysis of the literature. International Journal of Production Economics, 152, 131–143.
- Blackburn, W.R. (2007). The sustainability handbook: the complete management guide to achieving social, economic, and environmental responsibility. Environmental Law Institute, Washington, USA.
- Burki, U., Ersoy, P. & Najam, U. (2019). Top management, green innovations, and the mediating effect of customer cooperation in green supply chains. Sustainability, 11, 1031.
- Cagliano, A.C., De Marco, A., Grimaldi, S. & Rafele, C. (2012). An integrated approach to supply chain risk analysis. Journal of Risk Reserarch, 15(7), 817-840.
- Can, G.F. & Toktas, P. (2018). A novel fuzzy risk matrix based risk assessment approach. Kybernetes, 47(9), 1721-1751.
- Cervantes-Cabrera, O.A. & Briano-Turrent, G.D. (2018). The importance of risk management assessment: a proposal of an index for listed companies. Journal of Accounting Research, Organization and Economics, 1(2), 122-137.
- Chaleshigar Kordasiabi, M., Gholizadeh, H., Khakifirooz, M. & Fathi, M. (2023). Robust-heuristic-based optimisation for an engine oil sustainable supply chain network under uncertainty. International Journal of Production Research, 1-28.
- Chen, H.L. (2018). Supply chain risk’s impact on corporate financial performance. International Journal of Operations and Production Management, 38, 713–731.
- Chopra, S. & Sodhi, M. M. S. (2004). Managing risk to avoid: Supply-chain breakdown. MIT Sloan Management Review, 46(1), 53– 61.
- Clift, R. (2003). Metrics for supply chain sustainability. Clean Technologies and Environmental Policy, 5(3–4), 240-247.
- Curkovic, S. & Sroufe, R. (2011). Using ISO 14001 to promote a sustainable supply chain strategy. Business Strategy Environment, 20, 71–93.
- Diesendorf, M. (2007). Greenhouse solutions with sustainable energy. University of New South Wales Press, Sydney, Australia.
- Dubey, R., Gunasekaran, A., Papadopoulos, T., Childe, S.J., Shibin, K.T. & Wamba, S.F. (2017). Sustainable supply chain management: Framework and further research directions. Journal of Cleaner Production, 142, 1119-1130.
- Dües, C.M., Tan, K.H. & Lim, M. (2013). Green as the new lean: How to use lean practices as a catalyst to greening your supply chain. Journal of Cleaner Production, 40, 93-100.
- Elmsalmi ,M., Hachicha W. & Aljuaid A.M. (2021). Prioritization of the best sustainable supply chain risk management practices using a structural analysis based-approach. Sustainability, 13. https://doi.org/10.3390/su13094608.
- Fan, D., Xiao, C., Zhang, X. & Guo, Y. (2021). Gaining customer satisfaction through sustainable supplier development: The role of firm reputation and marketing communication. Transportation Research Part E: Logistics and Transportation Review, 154, 102453.
- Fritz, M.M.C. (2019). Sustainable supply chain management. Leal Filho, W., Azul, A., Brandli, L., Özuyar, P. and Wall, T. (Eds), in Responsible consumption and production. Encyclopedia of the UN sustainable development goals, Springer, Cham.
- Ganguly, K.K. & Guin, K.K. (2013). A fuzzy AHP approach for inbound supply risk assessment. Benchmarking: An International Journal, 20(1), 129-146.
- Giannakis, M. & Papadopoulos, T. (2016). Supply chain sustainability: a risk management approach. International Journal of Production Economics, 171, 455-470.
- Govindan, K. & Fattahi, M. (2017). Investigating risk and robustness measures for supply chain network design under demand uncertainty: a case study of glass supply chain. International Journal of Production Economics, 183, 680-699.
- Gurnani, H., Mehrotra, A. & Ray, S. (2012). Supply chain disruptions: Theory and practice of managing risk, Springer, London, UK.
- Halldórsson, Á., Kotzab, H. & Skjøtt-Larsen, T. (2009). Supply chain management on the crossroad to sustainability: A blessing or a curse? Logistics Research, 1(2), 83-94.
- Hudin, N.S., Hamid, A.B.A., Habidin, N. F. & Mustaffa, W.S.W. (2019). Barrier analysis of supply chain risk management adoption in automotive companies. International Journal of Academic Research in Accounting, Finance and Management Sciences, 9(3), 295– 299.
- Jharkharia, S. & Shankar, R. (2007). Selection of logistics service provider: An analytic network process ANP approach. Omega, 35 (3), 274-289.
- Junaid, M., Xue, Y., Syed, M.W., Li, J.Z. & Ziaullah, M. (2020). A neutrosophic AHP and TOPSIS framework for supply chain risk assessment in automotive industry of Pakistan. Sustainability, 12(1), 154.
- Kosasih, E.E. & Brintrup, A. (2021). A machine learning approach for predicting hidden links in supply chain with graph neural networks. International Journal of Production Research, 1-14.
- Kumar Sharma, S. & Bhat, A. (2014). Supply chain risk management dimensions in Indian automobile industry: a cluster analysis approach. Benchmarking: An International Journal, 21 (6), 1023-1040.
- Kuwornu, J. K., Khaipetch, J., Gunawan, E., Bannor, R. K. & Ho, T. D. (2023). The adoption of sustainable supply chain management practices on performance and quality assurance of food companies. Sustainable Futures, 5, 100103.
- Li, P., Liu, J. & Wei, C. (2020). Factor relation analysis for sustainable recycling partner evaluation using probabilistic linguistic DEMATEL. Fuzzy Optimization and Decision Making, 19, 471-497.
- Luthra, S., Garg, D. & Haleem, A. (2015). An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective. Resources Policy, 46, 37–50.
- Maloni, M.J. & Brown, M.E. (2006). Corporate social responsibility in the supply chain: an application in the food industry. Journal of Business Ethics, 68(1), 35-52.
- Mangla, S.K., Kumar, P. & Barua, M.K. (2015). Risk analysis in green supply chain using fuzzy AHP approach: a case study. Resources, Conservation and Recycling, 104, 375-390.
- Mastos, T. & Gotzamani, K. (2022). Sustainable supply chain management in the food industry: a conceptual model from a literature review and a case study. Foods, 11(15), 2295.
- Ministry of Industry and Technology. (2022). Gıda sektörü analiz raporu ve kılavuzu. TR22 bölgesi. https://www.kalkinmakutuphanesi.gov.tr/assets/upload/dosyalar/gida-tr22-.pdf (The Access Date: 11.04.2023).
- Moktadir, M.A., Dwivedi, A., Khan, N.S., Paul, S.K. & Khan, S.A. (2021). Analysis of risk factors in sustainable supply chain management in an emerging economy of leather industry. Journal of Cleaner Production, 283, 124641.
- Molotoks, A., Smith, P. & Dawson, T.P. (2020). Impacts of land use, population, and climate change on global food security. Food and Energy Security, 10.1002/fes3.261.
- Mondal, S. (2018). Review on nanocellulose polymer nanocomposites. Polymer-Plastics Technology and Engineering, 57(13), 1377–1391.
- Nazam, M., Xu, J., Tao, Z., Ahmad, J. & Hashim, M. (2015). A fuzzy AHP-TOPSIS framework for the risk assessment of green supply chain implementation in the textile industry. International Journal of Supply and Operations Management, 2(1), 548–568.
- Oelze, N. (2017). Sustainable supply chain management implementation-enablers and barriers in the textile industry. Sustainability, 9(8), 1435.
- Omerović, N., Djisalov, M., Živojević, K., Mladenović, M., Vunduk, J., Milenković, I., ... & Vidić, J. (2021). Antimicrobial nanoparticles and biodegradable polymer composites for active food packaging applications. Comprehensive Reviews in Food Science and Food Safety, 20(3), 2428-2454.
- Ozkan-Ozen, Y. D., Sezer, D., Ozbiltekin-Pala, M. & Kazancoglu, Y. (2022). Risks of data-driven technologies in sustainable supply chain management. Management of Environmental Quality: An International Journal, 34(4), 926-942.
- Piprani, A.Z., Jaafar, N.I., Ali, S.M., Mubarik, M.S., & Shahbaz, M. (2022). Multi-dimensional supply chain flexibility and supply chain resilience: The role of supply chain risks exposure. Operations Management Research, 15, 307–325.
- Prakash, S., Kumar, S., Soni, G., Jain, V. & Rathore, A.P.S. (2020). Closed-loop supply chain network design and modelling under risks and demand uncertainty: An integrated robust optimization approach. Annals of Operations Research, 290, 837-864.
- Prakash, S., Kumar, S., Soni, G., Jain, V., Dev, S. & Chandra, C. (2022). Evaluating approaches using the Grey-TOPSIS for sustainable supply chain collaboration under risk and uncertainty. Benchmarking: An International Journal.
- Rajesh, R. & Ravi, V. (2015). Modeling enablers of supply chain risk mitigation in electronic supply chains: A Grey–DEMATEL approach. Computers & Industrial Engineering, 87, 126-139.
- Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57.
- Rezaei, J., Wang, J. & Tavasszy, L. (2015). Linking supplier development to supplier segmentation using Best Worst Method. Expert Systems with Applications, 42(23), 9152-9164.
- Rogers, H., & Srivastava, M., Pawar, K.S. & Shah, J. (2015). Supply chain risk management in India – practical insights. International Journal of Logistics Research and Applications, 19(4), 1-22.
- Rostamzadeh, R., Ghorabaee, M.K., Govindan, K., Esmaeili, A. & Nobar, H.B.K. (2018). Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS-CRITIC approach. Journal of Cleaner Production, 175, 651-669.
- Samvedi, A., Jain, V. & Chan, F.T.S. (2013). Quantifying risks in a supply chain through integration of fuzzy AHP and fuzzy TOPSIS. International Journal of Production Research, 51(8), 2433-2442.
- Sangroniz, A., Zhu, J.B., Tang, X., Etxeberria, A,, Chen, E.Y.X. & Sardon, H. (2019). Packaging materials with desired mechanical and barrier properties and full chemical recyclability. Nature Communications, 10, 1–7.
- Silva, F. A., Dourado, F., Gama, M. & Poças, F. (2020). Nanocellulose bio-based composites for food packaging. Nanomaterials, 10(10), 2041.
- Simchi-Levi, D. (2010). The 6 forces driving supply chain design. MIT Sloan Management Review, 51(2), 17-24.
- Sodhi, M.S., Son, B.G. & Tang, C.S. (2012). Researchers' perspectives on supply chain risk management. Production and Operations Management, 21(1), 1-13.
- Song, W., Ming, X. & Liu, H.-C. (2017). Identifying critical risk factors of sustainable supply chain management: a rough strength-relation analysis method. Journal of Cleaner Production, 143, 100-115.
- Soni, G. & Kodali, R. (2013). A decision framework for assessment of risk associated with global supply chain. Journal of Modeling in Management, 8(1), 25-53.
- Su, C.M., Horng, D.J., Tseng, M.L., Chiu, A.S.F., Wu, K.J. & Chen, H.P. (2016). Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach. Journal of Cleaner Production, 134, 469-481.
- Syed, M.W., Li, J.Z., Junaid, M., Ye, X. & Ziaullah, M. (2019). An empirical examination of sustainable supply chain risk and integration practices: A performance-based evidence from Pakistan. Sustainability, 11(19), 5334.
- Tang, O. & Musa, S.N. (2011). Identifying risk issues and research advancements in supply chain risk management. International Journal of Production Economics, 133(1), 25-34.
- Tavakoli Haji Abadi, Y. & Avakh Darestani, S. (2023). Evaluation of sustainable supply chain risk: Evidence from the Iranian food industry. Journal of Science and Technology Policy Management, 14(1), 127-156.
- Tobescu, C. & Seuring, S. (2015). Internal enablers for the implementation of sustainable supply chain risk management systems. In Logistics management (pp. 17– 26). Springer.
- Tummala, R. & Schoenherr, T. (2011). Assessing and managing risks using the supply chain risk management process SCRMP. Supply Chain Management: An International Journal, 16(6), 474-483.
- Wang, X., Chan, H.K., Yee, R.W.Y. & Diaz-Rainey, I. (2012). A two-stage fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain. International Journal of Production Economics, 135(2), 595-606.
- Wang, P., Lin, Y., Fu, M. & Wang, Z. (2022). VIKOR method for plithogenic probabilistic linguistic MAGDM and application to sustainable supply chain financial risk evaluation. International Journal of Fuzzy Systems, 1-14.
- van de Kaa, G., Fens, T. & Rezaei, J. (2019). Residential grid storage technology battles: a multi-criteria analysis using BWM. Technology Analysis & Strategic Management, 31(1), 40-52.
- Xu, T. & Zhan, J. (2021). Green product design and pricing decisions in a risk-averse supply chain under alternative power structures. Mathematical Problems in Engineering, 1-20.
- Zailani, S., Jeyaraman, K., Vengadasan, G. & Premkumar, R. (2012). Sustainable supply chain management (SSCM) in Malaysia: A survey. International Journal of Production Economics, 140(1), 330–340.
- Zarbakhshnia, N., Govindan, K., Kannan, D. & Goh, M. (2022). Outsourcing logistics operations in circular economy towards to sustainable development goals. Business Strategy and the Environment, 32(1), 134- 162.
- Zhao, L., Huo, B., Sun, L. & Zhao, X. (2013). The impact of supply chain risk on supply chain integration and company performance: A global investigation. Supply Chain Management: An International Journal, 18, 115–131.
- Zhu, Q., Sarkis, J., Cordeiro, J.J. & Lai, K.H. (2008). Firm-level correlates of emergent green supply chain management practices in the Chinese context. Omega, 36, 577–591.
Sürdürülebilir Tedarik Zinciri Risklerinin Analizi: Gıda Sektöründe Bir Uygulama
Year 2025,
Volume: 27 Issue: 1, 193 - 209, 03.03.2025
Damla Çevik Aka
Abstract
Sınırlı üretim kaynakların ve rekabetin yüksek olması gıda endüstrisindeki tedarik zincirlerini çeşitli risklerle karşı karşıya bırakmaktadır. Bu nedenle, gıda endüstrisinde sürdürülebilir tedarik zincirini uygulamak için karşılaşılan riskleri yönetmek çok önemlidir. Bu çalışmada gıda endüstrisindeki (şekerleme ve çikolata) sürdürülebilir tedarik zinciri risklerinin önem ağırlıklarının belirlenmesi amaçlanmaktadır. Sonuçların, gıda endüstrisi yöneticilerinin sürdürülebilir bir tedarik zincirini daha iyi yönetebilmesine yardımcı olması beklenmektedir. Bu belgede tedarik, talep ve iç riskler ana kriterler olmak üzere dokuz alt risk faktörünü önceliklendirmek için dört uzman ile çalışılmıştır. Alt risk faktörleri hem literatür taraması hem de uzman görüşleri ile oluşturulmuştur. Uzmanlar şekerleme ve çikolata sektöründe en az beş yıl deneyime sahip tecrübeli kişilerden seçilmiştir. Çalışmada çok kriterli karar verme yöntemlerinden biri olan BWM kullanılmıştır. Karar verici poziyonunda olan yöneticiler kriterleri ağırlıklandırmak için bulanık ortamda dilsel değişkenler kullanmış ve kriterleri sübjektif ifadelere göre değerlendirmiştir. Bulgular en önemli risk faktörlerinin sürdürülebilir tedarikçi bulma ve sürdürülebilir teknoloji kullanımı olduğunu göstermektedir. Sürdürülebilir tedarik zincirinde en düşük öneme sahip risk faktörü ise talep değişimine bağlı olarak oluşan stok sıkıntısı olarak belirlenmiştir. Ayrıca bulguların tutarlılık oranının 0.1’den düşük olması sonuçların güvenirliğini de ortaya koymuştur.
References
- Abdel- Basset, M. & Mohammed, R. (2020). A novel plithogenic TOPSIS- CRITIC model for sustainable supply chain risk management. Journal of Cleaner Production, 47, 119586.
- Afgan, N.H. & Carvalho, M.G. (2004). Sustainability assessment of hydrogen energy systems. International Journal of Hydrogen Energy, 29(13), 1327-1342.
- Akbari, M., Meshram, S. G., Krishna, R. S., Pradhan, B., Shadeed, S., Khedher, K.M., ... & Darabi, F. (2021). Identification of the groundwater potential recharge zones using MCDM models: Full consistency method (FUCOM), Best Worst Method (BWM) and Analytic Hierarchy Process (AHP). Water Resources Management, 35, 4727-4745.
- Alshehri, S.M.A., Jun, W.X., Shah, S.A.A. & Solangi, Y.A. (2022). Analysis of core risk factors and potential policy options for sustainable supply chain: An MCDM analysis of Saudi Arabia’s manufacturing industry. Environmental Science and Pollution Research, 1-31.
- Aqlan, F. & Lam, S.S. (2015). A fuzzy-based integrated framework for supply chain risk assessment. International Journal of Production Economics, 161, 54-63.
- Atherton, J. (2011). Supply chain sustainability. UNEP Business and Industry Global Dialogue (April), 23-26.
- Beske, P., Land, A. & Seuring, S. (2014). Sustainable supply chain management practices and dynamic capabilities in the food industry: A critical analysis of the literature. International Journal of Production Economics, 152, 131–143.
- Blackburn, W.R. (2007). The sustainability handbook: the complete management guide to achieving social, economic, and environmental responsibility. Environmental Law Institute, Washington, USA.
- Burki, U., Ersoy, P. & Najam, U. (2019). Top management, green innovations, and the mediating effect of customer cooperation in green supply chains. Sustainability, 11, 1031.
- Cagliano, A.C., De Marco, A., Grimaldi, S. & Rafele, C. (2012). An integrated approach to supply chain risk analysis. Journal of Risk Reserarch, 15(7), 817-840.
- Can, G.F. & Toktas, P. (2018). A novel fuzzy risk matrix based risk assessment approach. Kybernetes, 47(9), 1721-1751.
- Cervantes-Cabrera, O.A. & Briano-Turrent, G.D. (2018). The importance of risk management assessment: a proposal of an index for listed companies. Journal of Accounting Research, Organization and Economics, 1(2), 122-137.
- Chaleshigar Kordasiabi, M., Gholizadeh, H., Khakifirooz, M. & Fathi, M. (2023). Robust-heuristic-based optimisation for an engine oil sustainable supply chain network under uncertainty. International Journal of Production Research, 1-28.
- Chen, H.L. (2018). Supply chain risk’s impact on corporate financial performance. International Journal of Operations and Production Management, 38, 713–731.
- Chopra, S. & Sodhi, M. M. S. (2004). Managing risk to avoid: Supply-chain breakdown. MIT Sloan Management Review, 46(1), 53– 61.
- Clift, R. (2003). Metrics for supply chain sustainability. Clean Technologies and Environmental Policy, 5(3–4), 240-247.
- Curkovic, S. & Sroufe, R. (2011). Using ISO 14001 to promote a sustainable supply chain strategy. Business Strategy Environment, 20, 71–93.
- Diesendorf, M. (2007). Greenhouse solutions with sustainable energy. University of New South Wales Press, Sydney, Australia.
- Dubey, R., Gunasekaran, A., Papadopoulos, T., Childe, S.J., Shibin, K.T. & Wamba, S.F. (2017). Sustainable supply chain management: Framework and further research directions. Journal of Cleaner Production, 142, 1119-1130.
- Dües, C.M., Tan, K.H. & Lim, M. (2013). Green as the new lean: How to use lean practices as a catalyst to greening your supply chain. Journal of Cleaner Production, 40, 93-100.
- Elmsalmi ,M., Hachicha W. & Aljuaid A.M. (2021). Prioritization of the best sustainable supply chain risk management practices using a structural analysis based-approach. Sustainability, 13. https://doi.org/10.3390/su13094608.
- Fan, D., Xiao, C., Zhang, X. & Guo, Y. (2021). Gaining customer satisfaction through sustainable supplier development: The role of firm reputation and marketing communication. Transportation Research Part E: Logistics and Transportation Review, 154, 102453.
- Fritz, M.M.C. (2019). Sustainable supply chain management. Leal Filho, W., Azul, A., Brandli, L., Özuyar, P. and Wall, T. (Eds), in Responsible consumption and production. Encyclopedia of the UN sustainable development goals, Springer, Cham.
- Ganguly, K.K. & Guin, K.K. (2013). A fuzzy AHP approach for inbound supply risk assessment. Benchmarking: An International Journal, 20(1), 129-146.
- Giannakis, M. & Papadopoulos, T. (2016). Supply chain sustainability: a risk management approach. International Journal of Production Economics, 171, 455-470.
- Govindan, K. & Fattahi, M. (2017). Investigating risk and robustness measures for supply chain network design under demand uncertainty: a case study of glass supply chain. International Journal of Production Economics, 183, 680-699.
- Gurnani, H., Mehrotra, A. & Ray, S. (2012). Supply chain disruptions: Theory and practice of managing risk, Springer, London, UK.
- Halldórsson, Á., Kotzab, H. & Skjøtt-Larsen, T. (2009). Supply chain management on the crossroad to sustainability: A blessing or a curse? Logistics Research, 1(2), 83-94.
- Hudin, N.S., Hamid, A.B.A., Habidin, N. F. & Mustaffa, W.S.W. (2019). Barrier analysis of supply chain risk management adoption in automotive companies. International Journal of Academic Research in Accounting, Finance and Management Sciences, 9(3), 295– 299.
- Jharkharia, S. & Shankar, R. (2007). Selection of logistics service provider: An analytic network process ANP approach. Omega, 35 (3), 274-289.
- Junaid, M., Xue, Y., Syed, M.W., Li, J.Z. & Ziaullah, M. (2020). A neutrosophic AHP and TOPSIS framework for supply chain risk assessment in automotive industry of Pakistan. Sustainability, 12(1), 154.
- Kosasih, E.E. & Brintrup, A. (2021). A machine learning approach for predicting hidden links in supply chain with graph neural networks. International Journal of Production Research, 1-14.
- Kumar Sharma, S. & Bhat, A. (2014). Supply chain risk management dimensions in Indian automobile industry: a cluster analysis approach. Benchmarking: An International Journal, 21 (6), 1023-1040.
- Kuwornu, J. K., Khaipetch, J., Gunawan, E., Bannor, R. K. & Ho, T. D. (2023). The adoption of sustainable supply chain management practices on performance and quality assurance of food companies. Sustainable Futures, 5, 100103.
- Li, P., Liu, J. & Wei, C. (2020). Factor relation analysis for sustainable recycling partner evaluation using probabilistic linguistic DEMATEL. Fuzzy Optimization and Decision Making, 19, 471-497.
- Luthra, S., Garg, D. & Haleem, A. (2015). An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective. Resources Policy, 46, 37–50.
- Maloni, M.J. & Brown, M.E. (2006). Corporate social responsibility in the supply chain: an application in the food industry. Journal of Business Ethics, 68(1), 35-52.
- Mangla, S.K., Kumar, P. & Barua, M.K. (2015). Risk analysis in green supply chain using fuzzy AHP approach: a case study. Resources, Conservation and Recycling, 104, 375-390.
- Mastos, T. & Gotzamani, K. (2022). Sustainable supply chain management in the food industry: a conceptual model from a literature review and a case study. Foods, 11(15), 2295.
- Ministry of Industry and Technology. (2022). Gıda sektörü analiz raporu ve kılavuzu. TR22 bölgesi. https://www.kalkinmakutuphanesi.gov.tr/assets/upload/dosyalar/gida-tr22-.pdf (The Access Date: 11.04.2023).
- Moktadir, M.A., Dwivedi, A., Khan, N.S., Paul, S.K. & Khan, S.A. (2021). Analysis of risk factors in sustainable supply chain management in an emerging economy of leather industry. Journal of Cleaner Production, 283, 124641.
- Molotoks, A., Smith, P. & Dawson, T.P. (2020). Impacts of land use, population, and climate change on global food security. Food and Energy Security, 10.1002/fes3.261.
- Mondal, S. (2018). Review on nanocellulose polymer nanocomposites. Polymer-Plastics Technology and Engineering, 57(13), 1377–1391.
- Nazam, M., Xu, J., Tao, Z., Ahmad, J. & Hashim, M. (2015). A fuzzy AHP-TOPSIS framework for the risk assessment of green supply chain implementation in the textile industry. International Journal of Supply and Operations Management, 2(1), 548–568.
- Oelze, N. (2017). Sustainable supply chain management implementation-enablers and barriers in the textile industry. Sustainability, 9(8), 1435.
- Omerović, N., Djisalov, M., Živojević, K., Mladenović, M., Vunduk, J., Milenković, I., ... & Vidić, J. (2021). Antimicrobial nanoparticles and biodegradable polymer composites for active food packaging applications. Comprehensive Reviews in Food Science and Food Safety, 20(3), 2428-2454.
- Ozkan-Ozen, Y. D., Sezer, D., Ozbiltekin-Pala, M. & Kazancoglu, Y. (2022). Risks of data-driven technologies in sustainable supply chain management. Management of Environmental Quality: An International Journal, 34(4), 926-942.
- Piprani, A.Z., Jaafar, N.I., Ali, S.M., Mubarik, M.S., & Shahbaz, M. (2022). Multi-dimensional supply chain flexibility and supply chain resilience: The role of supply chain risks exposure. Operations Management Research, 15, 307–325.
- Prakash, S., Kumar, S., Soni, G., Jain, V. & Rathore, A.P.S. (2020). Closed-loop supply chain network design and modelling under risks and demand uncertainty: An integrated robust optimization approach. Annals of Operations Research, 290, 837-864.
- Prakash, S., Kumar, S., Soni, G., Jain, V., Dev, S. & Chandra, C. (2022). Evaluating approaches using the Grey-TOPSIS for sustainable supply chain collaboration under risk and uncertainty. Benchmarking: An International Journal.
- Rajesh, R. & Ravi, V. (2015). Modeling enablers of supply chain risk mitigation in electronic supply chains: A Grey–DEMATEL approach. Computers & Industrial Engineering, 87, 126-139.
- Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57.
- Rezaei, J., Wang, J. & Tavasszy, L. (2015). Linking supplier development to supplier segmentation using Best Worst Method. Expert Systems with Applications, 42(23), 9152-9164.
- Rogers, H., & Srivastava, M., Pawar, K.S. & Shah, J. (2015). Supply chain risk management in India – practical insights. International Journal of Logistics Research and Applications, 19(4), 1-22.
- Rostamzadeh, R., Ghorabaee, M.K., Govindan, K., Esmaeili, A. & Nobar, H.B.K. (2018). Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS-CRITIC approach. Journal of Cleaner Production, 175, 651-669.
- Samvedi, A., Jain, V. & Chan, F.T.S. (2013). Quantifying risks in a supply chain through integration of fuzzy AHP and fuzzy TOPSIS. International Journal of Production Research, 51(8), 2433-2442.
- Sangroniz, A., Zhu, J.B., Tang, X., Etxeberria, A,, Chen, E.Y.X. & Sardon, H. (2019). Packaging materials with desired mechanical and barrier properties and full chemical recyclability. Nature Communications, 10, 1–7.
- Silva, F. A., Dourado, F., Gama, M. & Poças, F. (2020). Nanocellulose bio-based composites for food packaging. Nanomaterials, 10(10), 2041.
- Simchi-Levi, D. (2010). The 6 forces driving supply chain design. MIT Sloan Management Review, 51(2), 17-24.
- Sodhi, M.S., Son, B.G. & Tang, C.S. (2012). Researchers' perspectives on supply chain risk management. Production and Operations Management, 21(1), 1-13.
- Song, W., Ming, X. & Liu, H.-C. (2017). Identifying critical risk factors of sustainable supply chain management: a rough strength-relation analysis method. Journal of Cleaner Production, 143, 100-115.
- Soni, G. & Kodali, R. (2013). A decision framework for assessment of risk associated with global supply chain. Journal of Modeling in Management, 8(1), 25-53.
- Su, C.M., Horng, D.J., Tseng, M.L., Chiu, A.S.F., Wu, K.J. & Chen, H.P. (2016). Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach. Journal of Cleaner Production, 134, 469-481.
- Syed, M.W., Li, J.Z., Junaid, M., Ye, X. & Ziaullah, M. (2019). An empirical examination of sustainable supply chain risk and integration practices: A performance-based evidence from Pakistan. Sustainability, 11(19), 5334.
- Tang, O. & Musa, S.N. (2011). Identifying risk issues and research advancements in supply chain risk management. International Journal of Production Economics, 133(1), 25-34.
- Tavakoli Haji Abadi, Y. & Avakh Darestani, S. (2023). Evaluation of sustainable supply chain risk: Evidence from the Iranian food industry. Journal of Science and Technology Policy Management, 14(1), 127-156.
- Tobescu, C. & Seuring, S. (2015). Internal enablers for the implementation of sustainable supply chain risk management systems. In Logistics management (pp. 17– 26). Springer.
- Tummala, R. & Schoenherr, T. (2011). Assessing and managing risks using the supply chain risk management process SCRMP. Supply Chain Management: An International Journal, 16(6), 474-483.
- Wang, X., Chan, H.K., Yee, R.W.Y. & Diaz-Rainey, I. (2012). A two-stage fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain. International Journal of Production Economics, 135(2), 595-606.
- Wang, P., Lin, Y., Fu, M. & Wang, Z. (2022). VIKOR method for plithogenic probabilistic linguistic MAGDM and application to sustainable supply chain financial risk evaluation. International Journal of Fuzzy Systems, 1-14.
- van de Kaa, G., Fens, T. & Rezaei, J. (2019). Residential grid storage technology battles: a multi-criteria analysis using BWM. Technology Analysis & Strategic Management, 31(1), 40-52.
- Xu, T. & Zhan, J. (2021). Green product design and pricing decisions in a risk-averse supply chain under alternative power structures. Mathematical Problems in Engineering, 1-20.
- Zailani, S., Jeyaraman, K., Vengadasan, G. & Premkumar, R. (2012). Sustainable supply chain management (SSCM) in Malaysia: A survey. International Journal of Production Economics, 140(1), 330–340.
- Zarbakhshnia, N., Govindan, K., Kannan, D. & Goh, M. (2022). Outsourcing logistics operations in circular economy towards to sustainable development goals. Business Strategy and the Environment, 32(1), 134- 162.
- Zhao, L., Huo, B., Sun, L. & Zhao, X. (2013). The impact of supply chain risk on supply chain integration and company performance: A global investigation. Supply Chain Management: An International Journal, 18, 115–131.
- Zhu, Q., Sarkis, J., Cordeiro, J.J. & Lai, K.H. (2008). Firm-level correlates of emergent green supply chain management practices in the Chinese context. Omega, 36, 577–591.