IDEAS home Printed from https://ideas.repec.org/a/spr/opmare/v16y2023i3d10.1007_s12063-023-00391-y.html
   My bibliography  Save this article

Investigating the role of knowledge-based supply chains for supply chain resilience by graph theory matrix approach

Author

Listed:
  • Muruvvet Deniz Sezer

    (Yasar University)

  • Melisa Ozbiltekin-Pala

    (Yasar University)

  • Yigit Kazancoglu

    (Yasar University)

  • Jose Arturo Garza-Reyes

    (University of Derby)

  • Anil Kumar

    (London Metropolitan University)

  • Vikas Kumar

    (Birmingham City University)

Abstract

Nowadays, providing information flow at every phase of a knowledge-based supply chain with technologies has become a vital issue due to rapid population growth, globalisation, and increases in demand in the supply chain. Knowledge-based supply chains have a critical role in increasing resilience in supply chain processes with emerging technologies. Thus, it is necessary to determine the critical factors that increase SC resilience. Therefore, this study aims to determine SC resilience improvement factors in knowledge-based supply chains and investigate the importance level of determining factors using the Graph Theory Matrix Approach. The results suggest that the most important supply chain resilience improvement factor is Adaptive Capacity (F3), followed by Product Prioritization (F9) and Flexibility (F1), respectively. This study is expected to benefit managers and policymakers as it provides a better understanding of critical SC resilience improvement factors that play a role in knowledge-based supply chains. In order to increase resilience in the supply chain, system thinking and solutions should be encouraged by businesses to increase collaboration with stakeholders. Businesses and governments should provide collaborative long-term solutions for the uncertain environment to ensure a sustainable and resilient environment.

Suggested Citation

  • Muruvvet Deniz Sezer & Melisa Ozbiltekin-Pala & Yigit Kazancoglu & Jose Arturo Garza-Reyes & Anil Kumar & Vikas Kumar, 2023. "Investigating the role of knowledge-based supply chains for supply chain resilience by graph theory matrix approach," Operations Management Research, Springer, vol. 16(3), pages 1220-1230, September.
    • Handle: RePEc:spr:opmare:v:16:y:2023:i:3:d:10.1007_s12063-023-00391-y
    DOI: 10.1007/s12063-023-00391-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12063-023-00391-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12063-023-00391-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rajali Maharjan & Hironori Kato, 2022. "Resilient supply chain network design: a systematic literature review," Transport Reviews, Taylor & Francis Journals, vol. 42(6), pages 739-761, November.
    2. BLOME, Constantin & SCHOENHERR, Tobias & ECKSTEIN, Dominik, 2014. "The impact of knowledge transfer and complexity on supply chain flexibility: a knowledge-based view," LIDAM Reprints CORE 2603, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Wagner, Stephan M. & Neshat, Nikrouz, 2010. "Assessing the vulnerability of supply chains using graph theory," International Journal of Production Economics, Elsevier, vol. 126(1), pages 121-129, July.
    4. Mukesh Kumar & Rakesh D. Raut & Mahak Sharma & Vikas Kumar Choubey & Sanjoy Kumar Paul, 2022. "Enablers for resilience and pandemic preparedness in food supply chain," Operations Management Research, Springer, vol. 15(3), pages 1198-1223, December.
    5. Lorenzo Bruno Prataviera & Alessandro Creazza & Marco Melacini & Fabrizio Dallari, 2022. "Heading for Tomorrow: Resilience Strategies for Post-COVID-19 Grocery Supply Chains," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    6. Masoud Rabbani & Reza Yazdanparast & Mahdi Mobini, 2019. "An algorithm for performance evaluation of resilience engineering culture based on graph theory and matrix approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(2), pages 228-241, April.
    7. Syed Abdul Rehman Khan & Arsalan Zahid Piprani & Zhang Yu, 2022. "Supply chain analytics and post-pandemic performance: mediating role of triple-A supply chain strategies," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 18(6), pages 1330-1354, June.
    8. Masoud Kamalahmadi & Mansoor Shekarian & Mahour Mellat Parast, 2022. "The impact of flexibility and redundancy on improving supply chain resilience to disruptions," International Journal of Production Research, Taylor & Francis Journals, vol. 60(6), pages 1992-2020, March.
    9. Chih-Hung Hsu & Ming-Ge Li & Ting-Yi Zhang & An-Yuan Chang & Shu-Zhen Shangguan & Wan-Ling Liu, 2022. "Deploying Big Data Enablers to Strengthen Supply Chain Resilience to Mitigate Sustainable Risks Based on Integrated HOQ-MCDM Framework," Mathematics, MDPI, vol. 10(8), pages 1-35, April.
    10. Jorge, Jeff & Wendt, Cory, 2022. "Supply chain redesign: From building resiliency to positioning for growth," Journal of Supply Chain Management, Logistics and Procurement, Henry Stewart Publications, vol. 4(3), pages 239-249, March.
    11. Piramuthu, Selwyn, 2005. "Knowledge-based framework for automated dynamic supply chain configuration," European Journal of Operational Research, Elsevier, vol. 165(1), pages 219-230, August.
    12. Gaurav Kumar Badhotiya & Gunjan Soni & Vipul Jain & Rohit Joshi & Sameer Mittal, 2022. "Assessing supply chain resilience to the outbreak of COVID-19 in Indian manufacturing firms," Operations Management Research, Springer, vol. 15(3), pages 1161-1180, December.
    13. Blome, Constantin & Schoenherr, Tobias & Eckstein, Dominik, 2014. "The impact of knowledge transfer and complexity on supply chain flexibility: A knowledge-based view," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 307-316.
    14. Gebhardt, Maximilian & Spieske, Alexander & Kopyto, Matthias & Birkel, Hendrik, 2022. "Increasing global supply chains’ resilience after the COVID-19 pandemic: Empirical results from a Delphi study," Journal of Business Research, Elsevier, vol. 150(C), pages 59-72.
    15. Orlando, Beatrice & Tortora, Debora & Pezzi, Alberto & Bitbol-Saba, Nathalie, 2022. "The disruption of the international supply chain: Firm resilience and knowledge preparedness to tackle the COVID-19 outbreak," Journal of International Management, Elsevier, vol. 28(1).
    16. Christian Hofer & Jordan M. Barker & Laura D'Oria & Jonathan L. Johnson, 2022. "Broadening our understanding of interfirm rivalry: A call for research on how supply networks shape competitive behavior and performance," Journal of Supply Chain Management, Institute for Supply Management, vol. 58(2), pages 8-25, April.
    17. Deepak Mathivathanan & K. Mathiyazhagan & Nripendra P. Rana & Sangeeta Khorana & Yogesh K. Dwivedi, 2021. "Barriers to the adoption of blockchain technology in business supply chains: a total interpretive structural modelling (TISM) approach," International Journal of Production Research, Taylor & Francis Journals, vol. 59(11), pages 3338-3359, June.
    18. João M. Lopes & Sofia Gomes & Lassana Mané, 2022. "Developing Knowledge of Supply Chain Resilience in Less-Developed Countries in the Pandemic Age," Logistics, MDPI, vol. 6(1), pages 1-19, January.
    19. Yin, Jiateng & Ren, Xianliang & Liu, Ronghui & Tang, Tao & Su, Shuai, 2022. "Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bo Li, 2024. "A dynamic model of the supply chain resilience cycle: concept mapping using the Cynefin framework," Operations Management Research, Springer, vol. 17(4), pages 1553-1562, December.
    2. Qiansong Zhang & Yingying Zhang & Taiwen Feng, 2024. "Impacts of paradox cognition and organizational unlearning on supply chain resilience: a perspective of paradox theory," Operations Management Research, Springer, vol. 17(3), pages 1022-1038, September.
    3. Guilherme F. Frederico & Danny Samson, 2023. "Knowledge-based supply chains and economies: the relation with the emergent technologies and other current issues," Operations Management Research, Springer, vol. 16(3), pages 1057-1058, September.
    4. Duong An & Duy Tran Le Anh & Huong Le Thi Cam & Rajkishore Nayak & Majo George & Loan Bui Thi Cam & Nhu-Y Ngoc Hoang & Duy Tan Nguyen & Huy Truong Quang, 2024. "Navigating global supply networks: a strategic framework for resilience in the apparel industry," Operations Management Research, Springer, vol. 17(2), pages 523-543, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Morgan, Tyler R. & Roath, Anthony S. & Glenn Richey, Robert, 2023. "How risk, transparency, and knowledge influence the adaptability and flexibility dimensions of the responsiveness view," Journal of Business Research, Elsevier, vol. 158(C).
    2. Tseng, Shu-Mei, 2014. "The impact of knowledge management capabilities and supplier relationship management on corporate performance," International Journal of Production Economics, Elsevier, vol. 154(C), pages 39-47.
    3. Kangkang Yu & Cheng Qian & Lingbo Zhang, 2021. "Understanding sustainable development flexibility: An information perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 2173-2183, May.
    4. Weili Yin & Wenxue Ran, 2023. "Explaining Firm Performance During the COVID-19 With fsQCA: The Role of Supply Network Complexity, Inventory Turns, and Geographic Dispersion," SAGE Open, , vol. 13(2), pages 21582440231, June.
    5. Christian L. Rossetti & Donald P. Warsing & Barbara B. Flynn & Cecil C. Bozarth, 2023. "Complex and lean or lean and complex? The role of supply chain complexity in lean production," Operations Management Research, Springer, vol. 16(3), pages 1382-1412, September.
    6. Sun Jinling & Zhu Peiyu & Jin Shumo & Wang Hongbin, 2019. "Research on the Loss Sharing Contract in Supply Chain Under Asymmetric Information," Journal of Systems Science and Information, De Gruyter, vol. 7(2), pages 187-198, April.
    7. Alikhani, Reza & Ranjbar, Amirhossein & Jamali, Amir & Torabi, S. Ali & Zobel, Christopher W., 2023. "Towards increasing synergistic effects of resilience strategies in supply chain network design," Omega, Elsevier, vol. 116(C).
    8. Arpit Singh & Ashish Dwivedi & Dindayal Agrawal & Anurag Chauhan, 2024. "A framework to model the performance indicators of resilient construction supply chain: An effort toward attaining sustainability and circular practices," Business Strategy and the Environment, Wiley Blackwell, vol. 33(3), pages 1688-1720, March.
    9. Cerchione, Roberto & Esposito, Emilio, 2016. "A systematic review of supply chain knowledge management research: State of the art and research opportunities," International Journal of Production Economics, Elsevier, vol. 182(C), pages 276-292.
    10. Vu Minh Ngo & Huy Truong Quang & Thinh Gia Hoang & An Duong Thi Binh, 2024. "Sustainability‐related supply chain risks and supply chain performances: The moderating effects of dynamic supply chain management practices," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 839-857, February.
    11. Kumar Mangla, Sachin & Börühan, Gülmüş & Ersoy, Pervin & Kazancoglu, Yigit & Song, Malin, 2021. "Impact of information hiding on circular food supply chains in business-to-business context," Journal of Business Research, Elsevier, vol. 135(C), pages 1-18.
    12. Siying Long & Zhongju Liao, 2023. "Green relational capital, integration capabilities and environmental innovation adoption: The moderating role of normative pressures," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1570-1580, June.
    13. Wilhelm, Miriam & Blome, Constantin & Wieck, Ellen & Xiao, Cheng Yong, 2016. "Implementing sustainability in multi-tier supply chains: Strategies and contingencies in managing sub-suppliers," International Journal of Production Economics, Elsevier, vol. 182(C), pages 196-212.
    14. Yu, Kangkang & Cadeaux, Jack & Luo, Ben Nanfeng, 2015. "Operational flexibility: Review and meta-analysis," International Journal of Production Economics, Elsevier, vol. 169(C), pages 190-202.
    15. Osiro, Lauro & Lima-Junior, Francisco R. & Carpinetti, Luiz Cesar R., 2014. "A fuzzy logic approach to supplier evaluation for development," International Journal of Production Economics, Elsevier, vol. 153(C), pages 95-112.
    16. Rubén Michael Rodríguez‐González & Gonzalo Maldonado‐Guzman & Antonia Madrid‐Guijarro, 2022. "The effect of green strategies and eco‐innovation on Mexican automotive industry sustainable and financial performance: Sustainable supply chains as a mediating variable," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(4), pages 779-794, July.
    17. Germán Herrera Vidal & Jairo R. Coronado-Hernández & Claudia Minnaard, 2023. "Measuring manufacturing system complexity: a literature review," Journal of Intelligent Manufacturing, Springer, vol. 34(7), pages 2865-2888, October.
    18. Md Maruf Hossan Chowdhury & Priyabrata Chowdhury & Mohammed Quaddus & Kazi Waziur Rahman & Sakib Shahriar, 2024. "Flexibility in Enhancing Supply Chain Resilience: Developing a Resilience Capability Portfolio in the Event of Severe Disruption," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 25(2), pages 395-417, June.
    19. Gundula Glowka & Richard Hule & Anita Zehrer, 2024. "Risk perception of SMEs: strategic risks, family-related risks, external risks," Risk Management, Palgrave Macmillan, vol. 26(4), pages 1-27, December.
    20. Ghomi, Vahid & Gligor, David & Parast, Mahour & Shokoohyar, Sina & Esfahani, Mina Ghofrani, 2021. "Antecedents and consequences of customer flexibility: Establishing the link to firm competitive advantage," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:opmare:v:16:y:2023:i:3:d:10.1007_s12063-023-00391-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.