IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v15y2024i3d10.1007_s13132-023-01523-2.html
   My bibliography  Save this article

Exploring the Vulnerability of Supply Chain Networks from the Perspective of Network Collaborative Relationships

Author

Listed:
  • Xiaoli Zhang

    (Anhui Technical College of Mechanical and Electrical Engineering)

  • Qing Wang

    (Anhui Technical College of Mechanical and Electrical Engineering)

  • Binglong Zhao

    (Zhejiang Wanli University)

  • Jiafu Su

    (International College, Krirk University)

Abstract

Aiming at the structural complexity and vulnerability of the supply chain network (SCN) under the modern production mode, this paper proposes a weighted node contraction method for quantitative vulnerability analysis for SCN to help managers to maintain the efficient and stable operating condition of SCN. First, the SCN topological structure is analyzed and the weighted network model of SCN is further proposed to more accurately portray the SCN. Based on the weighted SCN model, a weighted node contraction method is developed to perform the cohesion degree analysis, and the cohesion degrees before and after the network contraction are compared to identify the important nodes in SCN. Then, the collaborative relationships between SCN nodes are analyzed, and the vulnerability of SCN is quantified by the calculation of weighted network node cohesion degree. Finally, the effectiveness of the method is verified by the case study. This study comprehensively considers the physical location of each node in the SCN and their mutual influence relationship on SCN vulnerability, thus it can better reflect the reality of SCN vulnerability, which can provide a helpful decision support for monitoring and managing of SCN vulnerability to reduce its adverse effects.

Suggested Citation

  • Xiaoli Zhang & Qing Wang & Binglong Zhao & Jiafu Su, 2024. "Exploring the Vulnerability of Supply Chain Networks from the Perspective of Network Collaborative Relationships," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 11041-11062, September.
  • Handle: RePEc:spr:jknowl:v:15:y:2024:i:3:d:10.1007_s13132-023-01523-2
    DOI: 10.1007/s13132-023-01523-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-023-01523-2
    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/s13132-023-01523-2?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. Sheikhahmadi, Amir & Nematbakhsh, Mohammad Ali & Shokrollahi, Arman, 2015. "Improving detection of influential nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 833-845.
    2. Kusi-Sarpong, Simonov & Bai, Chunguang & Sarkis, Joseph & Wang, Xuping, 2015. "Green supply chain practices evaluation in the mining industry using a joint rough sets and fuzzy TOPSIS methodology," Resources Policy, Elsevier, vol. 46(P1), pages 86-100.
    3. Li, Yuhong & Chen, Kedong & Collignon, Stephane & Ivanov, Dmitry, 2021. "Ripple effect in the supply chain network: Forward and backward disruption propagation, network health and firm vulnerability," European Journal of Operational Research, Elsevier, vol. 291(3), pages 1117-1131.
    4. Nasir Ababulgu & Nugusa Abajobir & Hika Wana, 2022. "The embarking of COVID-19 and the perishable products’ value chain in Ethiopia," Journal of Innovation and Entrepreneurship, Springer, vol. 11(1), pages 1-25, December.
    5. Palsule-Desai, Omkar D. & Tirupati, Devanath & Chandra, Pankaj, 2013. "Stability issues in supply chain networks: Implications for coordination mechanisms," International Journal of Production Economics, Elsevier, vol. 142(1), pages 179-193.
    6. Salomée Ruel & Sabry Shaaban & Margaux Ducros, 2019. "Supply chain vulnerability: contributions from an edifying case study," Post-Print hal-02903549, HAL.
    7. Diego Garlaschelli & Franco Ruzzenenti & Riccardo Basosi, 2010. "Complex Networks and Symmetry I: A Review," Papers 1006.3923, arXiv.org, revised Sep 2010.
    8. Nadia M. Viljoen & Johan W. Joubert, 2018. "The Road most Travelled: The Impact of Urban Road Infrastructure on Supply Chain Network Vulnerability," Networks and Spatial Economics, Springer, vol. 18(1), pages 85-113, March.
    9. Fei Ma & Huifeng Xue & Kum Fai Yuen & Qipeng Sun & Shumei Zhao & Yanxia Zhang & Kai Huang, 2020. "Assessing the Vulnerability of Logistics Service Supply Chain Based on Complex Network," Sustainability, MDPI, vol. 12(5), pages 1-18, March.
    10. Schönlein, Michael & Makuschewitz, Thomas & Wirth, Fabian & Scholz-Reiter, Bernd, 2013. "Measurement and optimization of robust stability of multiclass queueing networks: Applications in dynamic supply chains," European Journal of Operational Research, Elsevier, vol. 229(1), pages 179-189.
    11. Vafadarnikjoo, Amin & Tavana, Madjid & Chalvatzis, Konstantinos & Botelho, Tiago, 2022. "A socio-economic and environmental vulnerability assessment model with causal relationships in electric power supply chains," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    12. Li Gou & Bo Wei & Rehan Sadiq & Yong Sadiq & Yong Deng, 2016. "Topological Vulnerability Evaluation Model Based on Fractal Dimension of Complex Networks," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-11, January.
    13. Benjamin R. Tukamuhabwa & Mark Stevenson & Jerry Busby & Marta Zorzini, 2015. "Supply chain resilience: definition, review and theoretical foundations for further study," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5592-5623, September.
    14. Abhijit Majumdar & Sanjib Kumar Sinha & Mahesh Shaw & K. Mathiyazhagan, 2021. "Analysing the vulnerability of green clothing supply chains in South and Southeast Asia using fuzzy analytic hierarchy process," International Journal of Production Research, Taylor & Francis Journals, vol. 59(3), pages 752-771, February.
    15. Josef Daňa & Francesco Caputo & Jaroslav Ráček, 2020. "Complex Network Analysis for Knowledge Management and Organizational Intelligence," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 405-424, June.
    Full references (including those not matched with items on IDEAS)

    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. Wei Cao & Xifu Wang, 2022. "Brittleness Evolution Model of the Supply Chain Network Based on Adaptive Agent Graph Theory under the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    2. 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.
    3. Na Wang & Jingze Chen & Hongfeng Wang, 2023. "Resilient Supply Chain Optimization Considering Alternative Supplier Selection and Temporary Distribution Center Location," Mathematics, MDPI, vol. 11(18), pages 1-22, September.
    4. Zhimei Lei & Li Cui & Jing Tang & Lujie Chen & Bingbing Liu, 2024. "Supply chain resilience in the context of I4.0 and I5.0 from a multilayer network ripple effect perspective," Annals of Operations Research, Springer, vol. 342(2), pages 1149-1192, November.
    5. Ren, Huanyu & Wang, Chao & Mu, Dong & Lim, Ming K. & Yue, Xiongping & Hu, Xiaoqian & Peng, Rui & Tsao, Yu-Chung, 2024. "Resilience strategies in an intertwined supply network: Mitigating the vulnerability under disruption ripple effects," International Journal of Production Economics, Elsevier, vol. 278(C).
    6. Emilia Vann Yaroson & Soumyadeb Chowdhury & Sachin Kumar Mangla & Prasanta Kumar Dey, 2024. "Unearthing the interplay between organisational resources, knowledge and industry 4.0 analytical decision support tools to achieve sustainability and supply chain wellbeing," Annals of Operations Research, Springer, vol. 342(2), pages 1321-1368, November.
    7. Tan, Kim Hua, 2023. "Building Supply Chain Resilience with Digitalization," ADBI Working Papers 1389, Asian Development Bank Institute.
    8. 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.
    9. Yingqiu Zhu & Ruiyi Wang & Mingfei Feng & Lei Qin & Ben-Chang Shia & Ming-Chih Chen, 2024. "Supply Chain Analysis Based on Community Detection of Multi-Layer Weighted Networks," Mathematics, MDPI, vol. 12(22), pages 1-21, November.
    10. Syed Imran Zaman & Sharfuddin Ahmed Khan & Sahar Qabool & Himanshu Gupta, 2023. "How digitalization in banking improve service supply chain resilience of e-commerce sector? a technological adoption model approach," Operations Management Research, Springer, vol. 16(2), pages 904-930, June.
    11. Berahmand, Kamal & Bouyer, Asgarali & Samadi, Negin, 2018. "A new centrality measure based on the negative and positive effects of clustering coefficient for identifying influential spreaders in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 110(C), pages 41-54.
    12. Seyed M. H. S. Rezvani & Maria João Falcão Silva & Nuno Marques de Almeida, 2024. "Urban Resilience Index for Critical Infrastructure: A Scenario-Based Approach to Disaster Risk Reduction in Road Networks," Sustainability, MDPI, vol. 16(10), pages 1-41, May.
    13. Giovanna Culot & Matteo Podrecca & Guido Nassimbeni & Guido Orzes & Marco Sartor, 2023. "Using supply chain databases in academic research: A methodological critique," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(1), pages 3-25, January.
    14. Basu R, Jothi & Abdulrahman, Muhammad D. & Yuvaraj, M., 2023. "Improving agility and resilience of automotive spares supply chain: The additive manufacturing enabled truck model," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    15. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    16. Viljoen, Nadia M. & Joubert, Johan W., 2019. "Supply chain micro-communities in urban areas," Journal of Transport Geography, Elsevier, vol. 74(C), pages 211-222.
    17. Berger, Niklas & Schulze-Schwering, Stefan & Long, Elisa & Spinler, Stefan, 2023. "Risk management of supply chain disruptions: An epidemic modeling approach," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1036-1051.
    18. Smith, Dallas & Webb, Benjamin, 2019. "Hidden symmetries in real and theoretical networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 855-867.
    19. Eunji Oh & M. Minsuk Shin, 2020. "Study Abroad in Support of Higher Education Sustainability: An Application of Service Trade Strategies," Sustainability, MDPI, vol. 12(6), pages 1-23, March.
    20. Palsule-Desai, Omkar D., 2015. "Cooperatives for fruits and vegetables in emerging countries: Rationalization and impact of decentralization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 114-140.

    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:jknowl:v:15:y:2024:i:3:d:10.1007_s13132-023-01523-2. 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.