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Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19

Author

Listed:
  • Ipek Kazancoglu

    (Ege University)

  • Melisa Ozbiltekin-Pala

    (Yasar University)

  • Sachin Kumar Mangla

    (O P Jindal University)

  • Ajay Kumar

    (EMLYON Business School)

  • Yigit Kazancoglu

    (Yasar University)

Abstract

In rapidly changing business conditions, it has become extremely important to ensure the sustainability of supply chains and further improve the resiliency to those events, such as COVID-19, that can cause unexpected disruptions in the value supply chain. Although globalized supply chains have already been criticized for lack of control over sustainability and resilience of supply chain operations, these issues have become more prevalent in the uncertain environment driven by COVID-19. The use of emerging technologies such as blockchain, Industry 4.0 analytics model and artificial intelligence driven methods are aimed at increasing the sustainability and resilience of supply chains, especially in an uncertain environment. In this context, this research aims to identify the problematic areas encountered in building a resilient and sustainable supply chain in the pre-COVID-19 era and during COVID-19, and to offer solutions to those problematic areas tackled by an appropriate emerging technology. This research has been contextualized in the automotive industry; this industry has a complex supply chain structure and is one of the sectors most affected by COVID-19. Based on the findings, the most important problematic areas encountered in SSCM pre-COVID-19 are determined as supply chain traceability, demand planning and production management as well as purchasing process planning based on cause and effect groups. The most important issues to be addressed during COVID-19 are top management support, purchasing process planning and supply chain traceability, respectively.

Suggested Citation

  • Ipek Kazancoglu & Melisa Ozbiltekin-Pala & Sachin Kumar Mangla & Ajay Kumar & Yigit Kazancoglu, 2023. "Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19," Annals of Operations Research, Springer, vol. 322(1), pages 217-240, March.
  • Handle: RePEc:spr:annopr:v:322:y:2023:i:1:d:10.1007_s10479-022-04775-4
    DOI: 10.1007/s10479-022-04775-4
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    1. Schniederjans, Dara G. & Curado, Carla & Khalajhedayati, Mehrnaz, 2020. "Supply chain digitisation trends: An integration of knowledge management," International Journal of Production Economics, Elsevier, vol. 220(C).
    2. Belhadi, Amine & Kamble, Sachin & Jabbour, Charbel Jose Chiappetta & Gunasekaran, Angappa & Ndubisi, Nelson Oly & Venkatesh, Mani, 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, Elsevier, vol. 163(C).
    3. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    4. Paschen, Ulrich & Pitt, Christine & Kietzmann, Jan, 2020. "Artificial intelligence: Building blocks and an innovation typology," Business Horizons, Elsevier, vol. 63(2), pages 147-155.
    5. Sara Alonso-Muñoz & Rocío González-Sánchez & Cristina Siligardi & Fernando E. García-Muiña, 2021. "New Circular Networks in Resilient Supply Chains: An External Capital Perspective," Sustainability, MDPI, vol. 13(11), pages 1-18, May.
    6. Harpreet Kaur & Surya Prakash Singh, 2019. "Sustainable procurement and logistics for disaster resilient supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 309-354, December.
    7. Rosario Michel-Villarreal & Eliseo Luis Vilalta-Perdomo & Maurizio Canavari & Martin Hingley, 2021. "Resilience and Digitalization in Short Food Supply Chains: A Case Study Approach," Sustainability, MDPI, vol. 13(11), pages 1-23, May.
    8. Md. Rayhan Sarker & Md. Abdul Moktadir & Ernesto D. R. Santibanez-Gonzalez, 2021. "Social Sustainability Challenges Towards Flexible Supply Chain Management: Post-COVID-19 Perspective," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(2), pages 199-218, December.
    9. Wong, Christina W.Y. & Lirn, Taih-Cherng & Yang, Ching-Chiao & Shang, Kuo-Chung, 2020. "Supply chain and external conditions under which supply chain resilience pays: An organizational information processing theorization," International Journal of Production Economics, Elsevier, vol. 226(C).
    10. Notte, Gastón & Cancela, Héctor & Pedemonte, Martín & Chilibroste, Pablo & Rossing, Walter & Groot, Jeroen C.J., 2020. "A multi-objective optimization model for dairy feeding management," Agricultural Systems, Elsevier, vol. 183(C).
    11. Sharma, Amalesh & Adhikary, Anirban & Borah, Sourav Bikash, 2020. "Covid-19′s impact on supply chain decisions: Strategic insights from NASDAQ 100 firms using Twitter data," Journal of Business Research, Elsevier, vol. 117(C), pages 443-449.
    12. K. Mathiyazhagan & A. Noorul Haq & Varun Baxi, 2016. "Analysing the barriers for the adoption of green supply chain management - the Indian plastic industry perspective," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 8(1), pages 46-65.
    13. Manju Saroha & Dixit Garg & Sunil Luthra, 2021. "Identification and analysis of circular supply chain management practices for sustainability: a fuzzy-DEMATEL approach," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 71(3), pages 722-747, March.
    14. Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020. "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.
    15. Oscar Rodríguez-Espíndola & Soumyadeb Chowdhury & Ahmad Beltagui & Pavel Albores, 2020. "The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(15), pages 4610-4630, July.
    16. Andrés Muñoz-Villamizar & Carlos Yohan Rafavy & Justin Casey, 2020. "Machine learning and optimization-based modeling for asset management: a case study," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 71(4), pages 1149-1163, December.
    17. Angappa Gunasekaran & Nachiappan Subramanian & Shams Rahman, 2015. "Supply chain resilience: role of complexities and strategies," International Journal of Production Research, Taylor & Francis Journals, vol. 53(22), pages 6809-6819, November.
    18. Haitham M. Alzoubi & Hamzah Elrehail & Jalal Rajeh Hanaysha & Anwar Al-Gasaymeh & Raid Al-Adaileh, 2022. "The Role of Supply Chain Integration and Agile Practices in Improving Lead Time During the COVID-19 Crisis," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 13(1), pages 1-11, January.
    19. He-Yau Kang & Amy H. I. Lee & Yao-Chuan Chan, 2019. "An Integrated Fuzzy Multi-Criteria Decision-Making Approach for Evaluating Business Process Information Systems," Mathematics, MDPI, vol. 7(10), pages 1-23, October.
    20. Dmitry Ivanov & Alexandre Dolgui, 2020. "Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
    21. Notte, Gastón & Pedemonte, Martín & Cancela, Héctor & Chilibroste, Pablo, 2016. "Resource allocation in pastoral dairy production systems: Evaluating exact and genetic algorithms approaches," Agricultural Systems, Elsevier, vol. 148(C), pages 114-123.
    22. Paul, Sanjoy Kumar & Chowdhury, Priyabrata & Moktadir, Md. Abdul & Lau, Kwok Hung, 2021. "Supply chain recovery challenges in the wake of COVID-19 pandemic," Journal of Business Research, Elsevier, vol. 136(C), pages 316-329.
    23. Joash Mageto, 2021. "Big Data Analytics in Sustainable Supply Chain Management: A Focus on Manufacturing Supply Chains," Sustainability, MDPI, vol. 13(13), pages 1-22, June.
    24. Assunta Di Vaio & Flavio Boccia & Loris Landriani & Rosa Palladino, 2020. "Artificial Intelligence in the Agri-Food System: Rethinking Sustainable Business Models in the COVID-19 Scenario," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
    25. Pereira, Carla Roberta & Lago da Silva, Andrea & Tate, Wendy Lea & Christopher, Martin, 2020. "Purchasing and supply management (PSM) contribution to supply-side resilience," International Journal of Production Economics, Elsevier, vol. 228(C).
    26. Marko Hakovirta & Navodya Denuwara, 2020. "How COVID-19 Redefines the Concept of Sustainability," Sustainability, MDPI, vol. 12(9), pages 1-4, May.
    27. Kamble, Sachin S. & Gunasekaran, Angappa & Gawankar, Shradha A., 2020. "Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications," International Journal of Production Economics, Elsevier, vol. 219(C), pages 179-194.
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    1. Rini & Priyamvada, 2023. "COVID-19 challenge: optimizing investment in service and promotional effort with pricing strategy for sustainability in new normal," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1218-1229, September.
    2. Manu Sharma & Deepak Kaushal & Sudhanshu Joshi, 2023. "Strategic measures for enhancing resiliency in knowledge base supply chains: an emerging economy perspective," Operations Management Research, Springer, vol. 16(3), pages 1185-1205, September.

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