{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T16:13:57Z","timestamp":1771258437763,"version":"3.50.1"},"reference-count":82,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2022,9,9]],"date-time":"2022-09-09T00:00:00Z","timestamp":1662681600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,9,9]],"date-time":"2022-09-09T00:00:00Z","timestamp":1662681600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ann Oper Res"],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1007\/s10479-022-04940-9","type":"journal-article","created":{"date-parts":[[2022,9,9]],"date-time":"2022-09-09T19:31:55Z","timestamp":1662751915000},"page":"1127-1152","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Assessing risk of supply chain disruption due to COVID-19 with fuzzy VIKORSort"],"prefix":"10.1007","volume":"346","author":[{"given":"Jehangir","family":"Khan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2531-292X","authenticated-orcid":false,"given":"Alessio","family":"Ishizaka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sachin Kumar","family":"Mangla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,9]]},"reference":[{"issue":"9","key":"4940_CR1","doi-asserted-by":"publisher","first-page":"737","DOI":"10.1177\/0037549720930284","volume":"96","author":"A Alabdulkarim","year":"2020","unstructured":"Alabdulkarim, A. (2020). Minimizing the bullwhip effect in a supply chain: A simulation approach using the beer game. SIMULATION, 96(9), 737\u2013752.","journal-title":"SIMULATION"},{"key":"4940_CR2","doi-asserted-by":"publisher","first-page":"114690","DOI":"10.1016\/j.eswa.2021.114690","volume":"173","author":"S Ali","year":"2021","unstructured":"Ali, S., Paul, S., Chowdhury, P., Agarwal, R., Fathollahi-Fard, A., Jabbour, C., & Luthra, S. (2021). Modelling of supply chain disruption analytics using an integrated approach: An emerging economy example. Expert Systems with Applications, 173, 114690.","journal-title":"Expert Systems with Applications"},{"issue":"4","key":"4940_CR3","doi-asserted-by":"publisher","first-page":"1559","DOI":"10.3390\/ijerph18041559","volume":"18","author":"A Alsharef","year":"2021","unstructured":"Alsharef, A., Banerjee, S., Uddin, S., Albert, A., & Jaselskis, E. (2021). Early impacts of the COVID-19 pandemic on the United States construction industry. International Journal of Environmental Research and Public Health, 18(4), 1559.","journal-title":"International Journal of Environmental Research and Public Health"},{"issue":"4","key":"4940_CR4","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1016\/S0038-0121(00)00004-5","volume":"34","author":"S Ammar","year":"2000","unstructured":"Ammar, S., & Wright, R. (2000). Applying fuzzy-set theory to performance evaluation. Socio-Economic Planning Sciences, 34(4), 285\u2013302.","journal-title":"Socio-Economic Planning Sciences"},{"issue":"10228","key":"4940_CR5","doi-asserted-by":"publisher","first-page":"931","DOI":"10.1016\/S0140-6736(20)30567-5","volume":"395","author":"R Anderson","year":"2020","unstructured":"Anderson, R., Heesterbeek, H., Klinkenberg, D., & Hollingsworth, T. (2020). How will country-based mitigation measures influence the course of the COVID-19 epidemic? The Lancet, 395(10228), 931\u2013934.","journal-title":"The Lancet"},{"key":"4940_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/s11356-021-14817-2","author":"M Anser","year":"2021","unstructured":"Anser, M., Khan, M., Nassani, A., Abro, M., Zaman, K., & Kabbani, A. (2021). Does COVID-19 pandemic disrupt sustainable supply chain process? Covering some new global facts. Environmental Science and Pollution Research. https:\/\/doi.org\/10.1007\/s11356-021-14817-2","journal-title":"Environmental Science and Pollution Research"},{"key":"4940_CR7","doi-asserted-by":"crossref","unstructured":"Araz, C., & Ozkarahan, I. (2005). A multicriteria sorting procedure for financial classification problems: The case of business failure risk assessment. In International Conference on Intelligent Data Engineering and Automated Learning.","DOI":"10.1007\/11508069_73"},{"key":"4940_CR9","doi-asserted-by":"publisher","first-page":"120447","DOI":"10.1016\/j.techfore.2020.120447","volume":"163","author":"A Belhadi","year":"2021","unstructured":"Belhadi, A., Kamble, S., Jabbour, C., Gunasekaran, A., Ndubisi, N., & Venkatesh, M. (2021). Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries. Technological Forecasting and Social Change, 163, 120447.","journal-title":"Technological Forecasting and Social Change"},{"issue":"3","key":"4940_CR10","first-page":"1","volume":"3","author":"T Biswas","year":"2020","unstructured":"Biswas, T., & Das, M. (2020). Selection of the barriers of supply chain management in Indian manufacturing sectors due to COVID-19 impacts. Operational Research in Engineering Sciences: Theory and Applications, 3(3), 1\u201312.","journal-title":"Operational Research in Engineering Sciences: Theory and Applications"},{"issue":"6","key":"4940_CR11","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1038\/s41562-020-0898-6","volume":"4","author":"P Block","year":"2020","unstructured":"Block, P., Hoffman, M., Raabe, I., Rahal, C., Kashyap, R., & Mills, M. (2020). Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world. Nature Human Behaviour, 4(6), 588\u2013596.","journal-title":"Nature Human Behaviour"},{"issue":"3","key":"4940_CR12","doi-asserted-by":"publisher","first-page":"497","DOI":"10.3390\/foods10030497","volume":"10","author":"C Boyaci-Gunduz","year":"2021","unstructured":"Boyaci-Gunduz, C., Ibrahim, S., Wei, O., & Galanakis, C. (2021). Transformation of the food sector: Security and resilience during the COVID-19 pandemic. Foods, 10(3), 497.","journal-title":"Foods"},{"key":"4940_CR13","first-page":"455","volume-title":"Advances in intelligent systems and computing","author":"B Ceballos","year":"2018","unstructured":"Ceballos, B., Lamata, M., Pelta, D., & Yager, R. (2018). Crisp vs. fuzzy data in multicriteria decision making: The case of the VIKOR method. In J. Kacprzyk, E. Szmidt, S. Zadro\u017cny, K. T. Atanassov, & M. Krawczak (Eds.), Advances in intelligent systems and computing (pp. 455\u2013465). Springer."},{"issue":"02","key":"4940_CR14","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1142\/S0219622017500237","volume":"17","author":"B Ceballos","year":"2018","unstructured":"Ceballos, B., Pelta, D., & Lamata, M. (2018). Rank reversal and the VIKOR method: An empirical evaluation. International Journal of Information Technology & Decision Making, 17(02), 513\u2013525.","journal-title":"International Journal of Information Technology & Decision Making"},{"issue":"4","key":"4940_CR15","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/j.ins.2008.10.012","volume":"179","author":"T Chang","year":"2009","unstructured":"Chang, T., & Wang, T. (2009). Using the fuzzy multi-criteria decision making approach for measuring the possibility of successful knowledge management. Information Sciences, 179(4), 355\u2013370.","journal-title":"Information Sciences"},{"issue":"1","key":"4940_CR16","first-page":"53","volume":"46","author":"S Chopra","year":"2004","unstructured":"Chopra, S., & Sodhi, M. (2004). Supply-chain breakdown. MIT Sloan Management Review, 46(1), 53\u201361.","journal-title":"MIT Sloan Management Review"},{"key":"4940_CR17","doi-asserted-by":"publisher","first-page":"102271","DOI":"10.1016\/j.tre.2021.102271","volume":"148","author":"P Chowdhury","year":"2021","unstructured":"Chowdhury, P., Paul, S., Kaisar, S., & Moktadir, M. (2021). COVID-19 pandemic related supply chain studies: A systematic review. Transportation Research Part E: Logistics and Transportation Review, 148, 102271.","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"issue":"2","key":"4940_CR18","first-page":"1","volume":"15","author":"M Christopher","year":"2004","unstructured":"Christopher, M., & Peck, H. (2004). Building the resilient supply chain. International Journal of Logistics Management, 15(2), 1\u201313.","journal-title":"International Journal of Logistics Management"},{"issue":"2","key":"4940_CR19","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1108\/09574090610689998","volume":"17","author":"M Christopher","year":"2006","unstructured":"Christopher, M., Peck, H., & Towill, D. (2006). A taxonomy for selecting global supply chain strategies. The International Journal of Logistics Management, 17(2), 277\u2013287.","journal-title":"The International Journal of Logistics Management"},{"issue":"4","key":"4940_CR20","doi-asserted-by":"publisher","first-page":"838","DOI":"10.1111\/deci.12468","volume":"51","author":"C Craighead","year":"2020","unstructured":"Craighead, C., Ketchen, D., Jr., & Darby, J. (2020). Pandemics and supply chain management research: Toward a theoretical toolbox. Decision Sciences, 51(4), 838\u2013866.","journal-title":"Decision Sciences"},{"key":"4940_CR22","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1016\/j.eswa.2018.07.071","volume":"114","author":"L Demir","year":"2018","unstructured":"Demir, L., Akpinar, M., Araz, C., & Ilgin, M. (2018). A green supplier evaluation system based on a new multi-criteria sorting method: VIKORSORT. Expert Systems with Applications, 114, 479\u2013487.","journal-title":"Expert Systems with Applications"},{"issue":"3","key":"4940_CR24","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1016\/S0377-2217(02)00815-9","volume":"154","author":"M Doumpos","year":"2004","unstructured":"Doumpos, M., & Zopounidis, C. (2004). Developing sorting models using preference disaggregation analysis: An experimental investigation. European Journal of Operational Research, 154(3), 585\u2013598.","journal-title":"European Journal of Operational Research"},{"issue":"1","key":"4940_CR25","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.ijpe.2009.10.024","volume":"126","author":"R Dowty","year":"2010","unstructured":"Dowty, R., & Wallace, W. (2010). Implications of organizational culture for supply chain disruption and restoration. International Journal of Production Economics, 126(1), 57\u201365.","journal-title":"International Journal of Production Economics"},{"issue":"9","key":"4940_CR26","doi-asserted-by":"publisher","first-page":"843","DOI":"10.1108\/IJPDLM-07-2017-0228","volume":"47","author":"C Durach","year":"2017","unstructured":"Durach, C., Glasen, P., & Straube, F. (2017). Disruption causes and disruption management in supply chains with Chinese suppliers. International Journal of Physical Distribution & Logistics Management, 47(9), 843\u2013863.","journal-title":"International Journal of Physical Distribution & Logistics Management"},{"key":"4940_CR27","volume-title":"Global climate risk index 2021. Who suffers most from extreme weather events","author":"D Eckstein","year":"2021","unstructured":"Eckstein, D., Hutfils, M. L., & Winges, M. (2021). Global climate risk index 2021. Who suffers most from extreme weather events. Germanwatch."},{"key":"4940_CR28","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1016\/j.tre.2017.02.004","volume":"101","author":"M Fattahi","year":"2017","unstructured":"Fattahi, M., Govindan, K., & Keyvanshokooh, E. (2017). Responsive and resilient supply chain network design under operational and disruption risks with delivery lead-time sensitive customers. Transportation Research Part E: Logistics and Transportation Review, 101, 176\u2013200.","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"issue":"3","key":"4940_CR29","first-page":"104","volume":"5","author":"K Finstad","year":"2010","unstructured":"Finstad, K. (2010). Response interpolation and scale sensitivity: Evidence against 5-point scales. Journal of Usability Studies, 5(3), 104\u2013110.","journal-title":"Journal of Usability Studies"},{"issue":"2","key":"4940_CR31","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1080\/23812346.2020.1741940","volume":"5","author":"B Gong","year":"2020","unstructured":"Gong, B., Zhang, S., Yuan, L., & Chen, K. (2020). A balance act: Minimizing economic loss while controlling novel coronavirus pneumonia. Journal of Chinese Governance, 5(2), 249\u2013268.","journal-title":"Journal of Chinese Governance"},{"key":"4940_CR32","doi-asserted-by":"publisher","first-page":"101967","DOI":"10.1016\/j.tre.2020.101967","volume":"138","author":"K Govindan","year":"2020","unstructured":"Govindan, K., Mina, H., & Alavi, B. (2020). A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19). Transportation Research Part e: Logistics and Transportation Review, 138, 101967.","journal-title":"Transportation Research Part e: Logistics and Transportation Review"},{"issue":"3","key":"4940_CR35","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1111\/deci.12138","volume":"46","author":"M Habermann","year":"2015","unstructured":"Habermann, M., Blackhurst, J., & Metcalf, A. (2015). Keep your friends close? Supply chain design and disruption risk. Decision Sciences, 46(3), 491\u2013526.","journal-title":"Decision Sciences"},{"issue":"9","key":"4940_CR36","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1108\/09600030911008184","volume":"39","author":"A Hameri","year":"2009","unstructured":"Hameri, A., & Hintsa, J. (2009). Assessing the drivers of change for cross-border supply chains. International Journal of Physical Distribution & Logistics Management, 39(9), 741\u2013761.","journal-title":"International Journal of Physical Distribution & Logistics Management"},{"key":"4940_CR37","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1016\/j.ijdrr.2014.09.005","volume":"14","author":"M Haraguchi","year":"2015","unstructured":"Haraguchi, M., & Lall, U. (2015). Flood risks and impacts: A case study of Thailand\u2019s floods in 2011 and research questions for supply chain decision making. International Journal of Disaster Risk Reduction, 14, 256\u2013272.","journal-title":"International Journal of Disaster Risk Reduction"},{"issue":"22","key":"4940_CR38","doi-asserted-by":"publisher","first-page":"4959","DOI":"10.1016\/j.ins.2011.06.021","volume":"181","author":"Y Hu","year":"2011","unstructured":"Hu, Y., & Chen, C. (2011). A PROMETHEE-based classification method using concordance and discordance relations and its application to bankruptcy prediction. Information Sciences, 181(22), 4959\u20134968.","journal-title":"Information Sciences"},{"key":"4940_CR39","doi-asserted-by":"publisher","first-page":"280","DOI":"10.1016\/j.jclepro.2018.01.152","volume":"180","author":"H Huang","year":"2018","unstructured":"Huang, H., He, Y., & Li, D. (2018). Pricing and inventory decisions in the food supply chain with production disruption and controllable deterioration. Journal of Cleaner Production, 180, 280\u2013296.","journal-title":"Journal of Cleaner Production"},{"issue":"15","key":"4940_CR41","doi-asserted-by":"publisher","first-page":"19008","DOI":"10.1007\/s11356-020-11462-z","volume":"28","author":"S Iqbal","year":"2021","unstructured":"Iqbal, S., Bilal, A., Nurunnabi, M., Iqbal, W., Alfakhri, Y., & Iqbal, N. (2021). It is time to control the worst: Testing COVID-19 outbreak, energy consumption and CO 2 emission. Environmental Science and Pollution Research, 28(15), 19008\u201319020.","journal-title":"Environmental Science and Pollution Research"},{"issue":"1","key":"4940_CR42","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1057\/s41274-016-0002-9","volume":"68","author":"A Ishizaka","year":"2017","unstructured":"Ishizaka, A., & Gordon, M. (2017). MACBETHSort: A multiple criteria decision aid procedure for sorting strategic products. Journal of the Operational Research Society, 68(1), 53\u201361.","journal-title":"Journal of the Operational Research Society"},{"key":"4940_CR43","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/j.ijpe.2018.02.007","volume":"199","author":"A Ishizaka","year":"2018","unstructured":"Ishizaka, A., Lolli, F., Balugani, E., Cavallieri, R., & Gamberini, R. (2018). DEASort: Assigning items with data envelopment analysis in ABC classes. International Journal of Production Economics, 199, 7\u201315.","journal-title":"International Journal of Production Economics"},{"issue":"17","key":"4940_CR44","doi-asserted-by":"publisher","first-page":"4767","DOI":"10.1080\/00207543.2012.657966","volume":"50","author":"A Ishizaka","year":"2012","unstructured":"Ishizaka, A., Pearman, C., & Nemery, P. (2012). AHPSort: An AHP-based method for sorting problems. International Journal of Production Research, 50(17), 4767\u20134784.","journal-title":"International Journal of Production Research"},{"issue":"6","key":"4940_CR45","doi-asserted-by":"publisher","first-page":"928","DOI":"10.1080\/01605682.2019.1595188","volume":"71","author":"A Ishizaka","year":"2020","unstructured":"Ishizaka, A., Tasiou, M., & Martinez, L. (2020). Analytic hierarchy process-fuzzy sorting: An analytic hierarchy process\u2013based method for fuzzy classification in sorting problems. Journal of the Operational Research Society, 71(6), 928\u2013947.","journal-title":"Journal of the Operational Research Society"},{"key":"4940_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2020.101922","volume":"136","author":"D Ivanov","year":"2020","unstructured":"Ivanov, D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19\/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136, 101922.","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"issue":"3","key":"4940_CR47","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/s40812-020-00169-4","volume":"47","author":"J Juergensen","year":"2020","unstructured":"Juergensen, J., Guimon, J., & Narula, R. (2020). European SMEs amidst the COVID-19 crisis: Assessing impact and policy responses. Journal of Industrial and Business Economics, 47(3), 499\u2013510.","journal-title":"Journal of Industrial and Business Economics"},{"issue":"4","key":"4940_CR48","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1080\/18756891.2015.1046325","volume":"8","author":"C Kahraman","year":"2015","unstructured":"Kahraman, C., Onar, S., & Oztaysi, B. (2015). Fuzzy multicriteria decision-making: A literature review. International Journal of Computational Intelligence Systems, 8(4), 637\u2013666.","journal-title":"International Journal of Computational Intelligence Systems"},{"issue":"2","key":"4940_CR49","doi-asserted-by":"publisher","first-page":"867","DOI":"10.1007\/s11135-015-0179-z","volume":"50","author":"A Khan","year":"2016","unstructured":"Khan, A., Estrada, M., & Yusof, Z. (2016). How terrorism affects the economic performance? The case of Pakistan. Quality & Quantity, 50(2), 867\u2013883.","journal-title":"Quality & Quantity"},{"issue":"7","key":"4940_CR50","doi-asserted-by":"publisher","first-page":"1528","DOI":"10.1108\/IMDS-09-2017-0449","volume":"118","author":"M Khan","year":"2018","unstructured":"Khan, M., Akhtar, P., & Merali, Y. (2018). Strategies and effective decision-making against terrorism affecting supply chain risk management and security: A novel combination of triangulated methods. Industrial Management & Data Systems, 118(7), 1528\u20131546.","journal-title":"Industrial Management & Data Systems"},{"issue":"1","key":"4940_CR51","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1111\/j.1937-5956.2005.tb00009.x","volume":"14","author":"P Kleindorfer","year":"2005","unstructured":"Kleindorfer, P., & Saad, G. (2005). Managing disruption risks in supply chains. Production and Operations Management, 14(1), 53\u201368.","journal-title":"Production and Operations Management"},{"issue":"2","key":"4940_CR52","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/j.ejor.2009.06.011","volume":"203","author":"W Klibi","year":"2010","unstructured":"Klibi, W., Martel, A., & Guitouni, A. (2010). The design of robust value-creating supply chain networks: A critical review. European Journal of Operational Research, 203(2), 283\u2013293.","journal-title":"European Journal of Operational Research"},{"key":"4940_CR53","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1016\/B978-0-12-775260-0.50021-9","volume-title":"Fuzzy sets and their applications to cognitive and decision processes","author":"M Kochen","year":"1975","unstructured":"Kochen, M. (1975). Applications of fuzzy sets in psychology. Fuzzy sets and their applications to cognitive and decision processes (pp. 395\u2013408). Academic Press."},{"issue":"4","key":"4940_CR54","doi-asserted-by":"publisher","first-page":"1119","DOI":"10.1142\/S0219622018400011","volume":"17","author":"J Krejci","year":"2018","unstructured":"Krejci, J., & Ishizaka, A. (2018). FAHPSort: A fuzzy extension of the AHPSort method. International Journal of Information Technology & Decision Making, 17(4), 1119\u20131145.","journal-title":"International Journal of Information Technology & Decision Making"},{"issue":"4","key":"4940_CR55","doi-asserted-by":"publisher","first-page":"61","DOI":"10.2307\/40904915","volume":"49","author":"S Kumar","year":"2010","unstructured":"Kumar, S., & Chandra, C. (2010). Supply chain disruption by avian flu pandemic for US companies: A case study. Transportation Journal, 49(4), 61\u201373.","journal-title":"Transportation Journal"},{"issue":"8","key":"4940_CR56","doi-asserted-by":"publisher","first-page":"2238","DOI":"10.3390\/su11082238","volume":"11","author":"D Kwon","year":"2019","unstructured":"Kwon, D. (2019). Demand uncertainty, cost behavior, and the Asian financial crisis: Evidence from Korea. Sustainability, 11(8), 2238.","journal-title":"Sustainability"},{"key":"4940_CR57","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.omega.2015.12.011","volume":"61","author":"Y Li","year":"2016","unstructured":"Li, Y., Zhen, X., Qi, X., & Cai, G. G. (2016). Penalty and financial assistance in a supply chain with supply disruption. Omega, 61, 167\u2013181.","journal-title":"Omega"},{"issue":"2","key":"4940_CR58","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1108\/09600031111118549","volume":"41","author":"Y Lin","year":"2011","unstructured":"Lin, Y., & Zhou, L. (2011). The impacts of product design changes on supply chain risk: A case study. International Journal of Physical Distribution & Logistics Management, 41(2), 162\u2013186.","journal-title":"International Journal of Physical Distribution & Logistics Management"},{"issue":"3","key":"4940_CR59","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1016\/j.ajsl.2015.09.001","volume":"31","author":"H Loh","year":"2015","unstructured":"Loh, H., & Van Thai, V. (2015). Cost consequences of a port-related supply chain disruption. The Asian Journal of Shipping and Logistics, 31(3), 319\u2013340.","journal-title":"The Asian Journal of Shipping and Logistics"},{"issue":"17\u201318","key":"4940_CR60","doi-asserted-by":"publisher","first-page":"6342","DOI":"10.1016\/j.eswa.2015.04.028","volume":"42","author":"F Lolli","year":"2015","unstructured":"Lolli, F., Ishizaka, A., Gamberini, R., Rimini, B., & Messori, M. (2015). FlowSort-GDSS\u2013A novel group multi-criteria decision support system for sorting problems with application to FMEA. Expert Systems with Applications, 42(17\u201318), 6342\u20136349.","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"4940_CR61","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1111\/ajae.12158","volume":"103","author":"K Mahajan","year":"2021","unstructured":"Mahajan, K., & Tomar, S. (2021). COVID-19 and supply chain disruption: Evidence from food markets in India. American Journal of Agricultural Economics, 103(1), 35\u201352.","journal-title":"American Journal of Agricultural Economics"},{"key":"4940_CR62","volume-title":"Supply chain risk: Understanding emerging threats to global supply chains","author":"J Manners-Bell","year":"2014","unstructured":"Manners-Bell, J. (2014). Supply chain risk: Understanding emerging threats to global supply chains. Kogan Page."},{"issue":"1","key":"4940_CR63","doi-asserted-by":"publisher","first-page":"37","DOI":"10.3390\/su8010037","volume":"8","author":"A Mardani","year":"2016","unstructured":"Mardani, A., Zavadskas, E., Govindan, K., Amat Senin, A., & Jusoh, A. (2016). VIKOR technique: A systematic review of the state of the art literature on methodologies and applications. Sustainability, 8(1), 37.","journal-title":"Sustainability"},{"issue":"1","key":"4940_CR64","first-page":"1","volume":"3","author":"N Memon","year":"2016","unstructured":"Memon, N. (2016). Fast food: 2nd largest industry in Pakistan. Pakistan Food Journal, 3(1), 1\u20133.","journal-title":"Pakistan Food Journal"},{"issue":"1\u20132","key":"4940_CR66","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1504\/IJLSM.2009.021646","volume":"5","author":"U Mohan","year":"2009","unstructured":"Mohan, U., Viswanadham, N., & Trikha, P. (2009). Impact of Avian Influenza in the Indian poultry industry: A supply chain risk perspective. International Journal of Logistics Systems and Management, 5(1\u20132), 89\u2013105.","journal-title":"International Journal of Logistics Systems and Management"},{"issue":"2","key":"4940_CR67","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1023\/A:1008210427517","volume":"12","author":"V Mousseau","year":"1998","unstructured":"Mousseau, V., & Slowinski, R. (1998). Inferring an ELECTRE TRI model from assignment examples. Journal of Global Optimization, 12(2), 157\u2013174.","journal-title":"Journal of Global Optimization"},{"key":"4940_CR69","doi-asserted-by":"publisher","first-page":"107661","DOI":"10.1016\/j.foodcont.2020.107661","volume":"121","author":"Z Nakat","year":"2021","unstructured":"Nakat, Z., & Bou-Mitri, C. (2021). COVID-19 and the food industry: Readiness assessment. Food Control, 121, 107661.","journal-title":"Food Control"},{"issue":"1","key":"4940_CR70","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1108\/JCEFTS-08-2020-0050","volume":"14","author":"A Obayelu","year":"2020","unstructured":"Obayelu, A., Edewor, S., & Ogbe, A. (2020). Trade effects, policy responses and opportunities of COVID-19 outbreak in Africa. Journal of Chinese Economic and Foreign Trade Studies, 14(1), 44\u201359.","journal-title":"Journal of Chinese Economic and Foreign Trade Studies"},{"issue":"1","key":"4940_CR71","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.ijpe.2008.08.045","volume":"118","author":"A Oke","year":"2009","unstructured":"Oke, A., & Gopalakrishnan, M. (2009). Managing disruptions in supply chains: A case study of a retail supply chain. International Journal of Production Economics, 118(1), 168\u2013174.","journal-title":"International Journal of Production Economics"},{"issue":"1","key":"4940_CR74","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.bushor.2012.09.008","volume":"56","author":"Y Park","year":"2013","unstructured":"Park, Y., Hong, P., & Roh, J. (2013). Supply chain lessons from the catastrophic natural disaster in Japan. Business Horizons, 56(1), 75\u201385.","journal-title":"Business Horizons"},{"key":"4940_CR75","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.cor.2013.03.003","volume":"42","author":"M Peng","year":"2014","unstructured":"Peng, M., Peng, Y., & Chen, H. (2014). Post-seismic supply chain risk management: A system dynamics disruption analysis approach for inventory and logistics planning. Computers & Operations Research, 42, 14\u201324.","journal-title":"Computers & Operations Research"},{"issue":"1","key":"4940_CR76","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1109\/91.554449","volume":"5","author":"T Runkler","year":"1997","unstructured":"Runkler, T. (1997). Selection of appropriate defuzzification methods using application specific properties. IEEE Transactions on Fuzzy Systems, 5(1), 72\u201379.","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"4940_CR77","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.resconrec.2020.104894","volume":"159","author":"J Sarkis","year":"2020","unstructured":"Sarkis, J., Cohen, M., Dewick, P., & Schroder, P. (2020). A brave new world: Lessons from the COVID-19 pandemic for transitioning to sustainable supply and production. Resources, Conservation, and Recycling, 159, 1\u20134.","journal-title":"Resources, Conservation, and Recycling"},{"key":"4940_CR78","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.omega.2014.06.002","volume":"52","author":"A Schmitt","year":"2015","unstructured":"Schmitt, A., Sun, S., Snyder, L., & Shen, Z. (2015). Centralization versus decentralization: Risk pooling, risk diversification, and supply chain disruptions. Omega, 52, 201\u2013212.","journal-title":"Omega"},{"issue":"1","key":"4940_CR79","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.eswa.2013.07.011","volume":"41","author":"T Shu","year":"2014","unstructured":"Shu, T., Chen, S., Wang, S., & Lai, K. (2014). GBOM-oriented management of production disruption risk and optimization of supply chain construction. Expert Systems with Applications, 41(1), 59\u201368.","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"4940_CR80","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.ejor.2019.09.017","volume":"282","author":"J Simon","year":"2020","unstructured":"Simon, J., & Omar, A. (2020). Cybersecurity investments in the supply chain: Coordination and a strategic attacker. European Journal of Operational Research, 282(1), 161\u2013171.","journal-title":"European Journal of Operational Research"},{"issue":"7","key":"4940_CR81","doi-asserted-by":"publisher","first-page":"1993","DOI":"10.1080\/00207543.2020.1792000","volume":"59","author":"S Singh","year":"2021","unstructured":"Singh, S., Kumar, R., Panchal, R., & Tiwari, M. (2021). Impact of COVID-19 on logistics systems and disruptions in food supply chain. International Journal of Production Research, 59(7), 1993\u20132008.","journal-title":"International Journal of Production Research"},{"issue":"1","key":"4940_CR82","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1016\/j.ijpe.2009.10.010","volume":"131","author":"J Thun","year":"2011","unstructured":"Thun, J., & Hoenig, D. (2011). An empirical analysis of supply chain risk management in the German automotive industry. International Journal of Production Economics, 131(1), 242\u2013249.","journal-title":"International Journal of Production Economics"},{"key":"4940_CR83","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.japwor.2016.12.005","volume":"41","author":"J Tokui","year":"2017","unstructured":"Tokui, J., Kawasaki, K., & Miyagawa, T. (2017). The economic impact of supply chain disruptions from the Great East-Japan earthquake. Japan and the World Economy, 41, 59\u201370.","journal-title":"Japan and the World Economy"},{"issue":"4","key":"4940_CR84","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1002\/jmv.25689","volume":"92","author":"W Wang","year":"2020","unstructured":"Wang, W., Tang, J., & Wei, F. (2020). Updated understanding of the outbreak of 2019 novel coronavirus (2019-nCoV) in Wuhan, China. Journal of Medical Virology, 92(4), 441\u2013447.","journal-title":"Journal of Medical Virology"},{"issue":"7\/8","key":"4940_CR85","doi-asserted-by":"publisher","first-page":"710","DOI":"10.1108\/09600030010346521","volume":"30","author":"M Warren","year":"2000","unstructured":"Warren, M., & Hutchinson, W. (2000a). Cyber attacks against supply chain management systems: A short note. International Journal of Physical Distribution & Logistics Management, 30(7\/8), 710\u2013716.","journal-title":"International Journal of Physical Distribution & Logistics Management"},{"issue":"7\/8","key":"4940_CR86","doi-asserted-by":"publisher","first-page":"710","DOI":"10.1108\/09600030010346521","volume":"30","author":"M Warren","year":"2000","unstructured":"Warren, M., & Hutchinson, W. (2000b). Cyber attacks against supply chain management systems: A short note. International Journal of Physical Distribution & Logistics Management., 30(7\/8), 710\u2013716.","journal-title":"International Journal of Physical Distribution & Logistics Management."},{"key":"4940_CR87","doi-asserted-by":"publisher","first-page":"100014","DOI":"10.1016\/j.crsust.2020.100014","volume":"2","author":"E Workie","year":"2020","unstructured":"Workie, E., Mackolil, J., Nyika, J., & Ramadas, S. (2020). Deciphering the impact of COVID-19 pandemic on food security, agriculture, and livelihoods: A review of the evidence from developing countries. Current Research in Environmental Sustainability, 2, 100014.","journal-title":"Current Research in Environmental Sustainability"},{"issue":"6","key":"4940_CR89","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1108\/13598541111171165","volume":"16","author":"C Xie","year":"2011","unstructured":"Xie, C., Anumba, C., Lee, T., & Schoenherr, T. (2011). Assessing and managing risks using the supply chain risk management process (SCRMP). Supply Chain Management: An International Journal., 16(6), 474\u2013483.","journal-title":"Supply Chain Management: An International Journal."},{"issue":"5","key":"4940_CR90","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1002\/nav.20087","volume":"52","author":"J Yang","year":"2005","unstructured":"Yang, J., Qi, X., & Yu, G. (2005). Disruption management in production planning. Naval Research Logistics (NRL), 52(5), 420\u2013442.","journal-title":"Naval Research Logistics (NRL)"},{"issue":"3","key":"4940_CR91","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1016\/j.ssci.2010.09.019","volume":"49","author":"Y Yang","year":"2011","unstructured":"Yang, Y. (2011). Risk management of Taiwan\u2019s maritime supply chain security. Safety Science, 49(3), 382\u2013393.","journal-title":"Safety Science"},{"key":"4940_CR92","unstructured":"Yu, W. (1992). ELECTRE TRI(aspects m\u00e9thodologiques et manuel d'utilisation). Universit\u00e9 de Paris-Dauphine, LAMSADE, Paris."},{"key":"4940_CR95","doi-asserted-by":"publisher","first-page":"101719","DOI":"10.1016\/j.ijdrr.2020.101719","volume":"50","author":"Y Zhang","year":"2020","unstructured":"Zhang, Y., Wei, K., Shen, Z., Bai, X., Lu, X., & Soares, C. (2020). Economic impact of typhoon-induced wind disasters on port operations: A case study of ports in China. International Journal of Disaster Risk Reduction, 50, 101719.","journal-title":"International Journal of Disaster Risk Reduction"},{"issue":"1","key":"4940_CR96","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1108\/JGOSS-02-2021-0017","volume":"28","author":"S Zighan","year":"2021","unstructured":"Zighan, S. (2021). Managing the great bullwhip effects caused by COVID-19. Journal of Global Operations and Strategic Sourcing, 28(1), 28\u201347.","journal-title":"Journal of Global Operations and Strategic Sourcing"}],"container-title":["Annals of Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-022-04940-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10479-022-04940-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-022-04940-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T03:07:45Z","timestamp":1743390465000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10479-022-04940-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,9]]},"references-count":82,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,3]]}},"alternative-id":["4940"],"URL":"https:\/\/doi.org\/10.1007\/s10479-022-04940-9","relation":{},"ISSN":["0254-5330","1572-9338"],"issn-type":[{"value":"0254-5330","type":"print"},{"value":"1572-9338","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,9]]},"assertion":[{"value":"25 August 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 September 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}