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The application of complex network theory for resilience improvement of knowledge-intensive supply chains

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  • Jiakuan Chen

    (Xidian University)

  • Haoyu Wen

    (Xidian University)

Abstract

With frequent political conflicts and public health emergencies, global supply chains are constantly under risk interference, significantly reducing supply chain resilience (SCR), especially for the knowledge-intensive supply chains (KISCs). To assess and improve the resilience of KISC, this paper uses complex network theory to construct a directed weighted network model suitable for KISC and expresses the SCR as a comprehensive capability that can resist risk and recover from it. Using quantitative indicators plus qualitative assessment to quantify the resilience index and identify the network key nodes. Two resilience improvement paths are proposed for KISCs, improving firms’ development capacity and industrial backup. In the case study, the resilience of the integrated circuit (IC) supply chain is assessed and improved according to real data from the global IC industry. The findings show that (i) The resilience assessment based on the directed weighted network aligns with industrial reality. (ii) Improving firms’ development capability and industrial backup can improve SCR. (iii) Effective improvement of resilience requires targeting key nodes in the supply chain network (SCN). Moreover, the degree of firms’ development capability improvement and industrial backup intensity should be within a specific range.

Suggested Citation

  • Jiakuan Chen & Haoyu Wen, 2023. "The application of complex network theory for resilience improvement of knowledge-intensive supply chains," Operations Management Research, Springer, vol. 16(3), pages 1140-1161, September.
    • Handle: RePEc:spr:opmare:v:16:y:2023:i:3:d:10.1007_s12063-023-00365-0
    DOI: 10.1007/s12063-023-00365-0
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    1. Reyes Levalle, Rodrigo & Nof, Shimon Y., 2015. "Resilience by teaming in supply network formation and re-configuration," International Journal of Production Economics, Elsevier, vol. 160(C), pages 80-93.
    2. Kamalahmadi, Masoud & Parast, Mahour Mellat, 2016. "A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 116-133.
    3. Wen Jun Tan & Allan N. Zhang & Wentong Cai, 2019. "A graph-based model to measure structural redundancy for supply chain resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 57(20), pages 6385-6404, October.
    4. Jihee Han & KwangSup Shin, 2016. "Evaluation mechanism for structural robustness of supply chain considering disruption propagation," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 135-151, January.
    5. Ritesh Ojha & Abhijeet Ghadge & Manoj Kumar Tiwari & Umit S. Bititci, 2018. "Bayesian network modelling for supply chain risk propagation," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5795-5819, September.
    6. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).
    7. Muhammad Irfan & Mingzheng Wang & Naeem Akhtar, 2019. "Impact of IT capabilities on supply chain capabilities and organizational agility: a dynamic capability view," Operations Management Research, Springer, vol. 12(3), pages 113-128, December.
    8. Mohammed Belal Uddin & Bilkis Akhter, 2022. "Investigating the relationship between top management commitment, supply chain collaboration, and sustainable firm performance in the agro-processing supply chain," Operations Management Research, Springer, vol. 15(3), pages 1399-1417, December.
    9. William Ho & Tian Zheng & Hakan Yildiz & Srinivas Talluri, 2015. "Supply chain risk management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 5031-5069, August.
    10. Kabir, KM Ariful & Kuga, Kazuki & Tanimoto, Jun, 2020. "The impact of information spreading on epidemic vaccination game dynamics in a heterogeneous complex network- A theoretical approach," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    11. Yuhan Guo & Fangxia Hu & Hamid Allaoui & Youssef Boulaksil, 2019. "A distributed approximation approach for solving the sustainable supply chain network design problem," International Journal of Production Research, Taylor & Francis Journals, vol. 57(11), pages 3695-3718, June.
    12. Kamalahmadi, Masoud & Parast, Mahour Mellat, 2017. "An assessment of supply chain disruption mitigation strategies," International Journal of Production Economics, Elsevier, vol. 184(C), pages 210-230.
    13. David Simchi‐Levi & He Wang & Yehua Wei, 2018. "Increasing Supply Chain Robustness through Process Flexibility and Inventory," Production and Operations Management, Production and Operations Management Society, vol. 27(8), pages 1476-1491, August.
    14. Belarmino Adenso-Díaz & Julio Mar-Ortiz & Sebastián Lozano, 2018. "Assessing supply chain robustness to links failure," International Journal of Production Research, Taylor & Francis Journals, vol. 56(15), pages 5104-5117, August.
    15. Vimal K.E.K & Simon Peter Nadeem & Mahadharsan Ravichandran & Manavalan Ethirajan & Jayakrishna Kandasamy, 2022. "Resilience strategies to recover from the cascading ripple effect in a copper supply chain through project management," Operations Management Research, Springer, vol. 15(1), pages 440-460, June.
    16. Vipul Jain & Sameer Kumar & Umang Soni & Charu Chandra, 2017. "Supply chain resilience: model development and empirical analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 55(22), pages 6779-6800, November.
    17. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2018. "Scheduling of recovery actions in the supply chain with resilience analysis considerations," International Journal of Production Research, Taylor & Francis Journals, vol. 56(19), pages 6473-6490, October.
    18. Sahitya Elluru & Hardik Gupta & Harpreet Kaur & Surya Prakash Singh, 2019. "Proactive and reactive models for disaster resilient supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 199-224, December.
    19. 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.
    20. Dmitry Ivanov & Boris Sokolov, 2019. "Simultaneous structural–operational control of supply chain dynamics and resilience," Annals of Operations Research, Springer, vol. 283(1), pages 1191-1210, December.
    21. Nakatani, Jun & Tahara, Kiyotaka & Nakajima, Kenichi & Daigo, Ichiro & Kurishima, Hideaki & Kudoh, Yuki & Matsubae, Kazuyo & Fukushima, Yasuhiro & Ihara, Tomohiko & Kikuchi, Yasunori & Nishijima, Asak, 2018. "A graph theory-based methodology for vulnerability assessment of supply chains using the life cycle inventory database," Omega, Elsevier, vol. 75(C), pages 165-181.
    22. Kim Sundtoft Hald & Paula Coslugeanu, 2022. "The preliminary supply chain lessons of the COVID-19 disruption—What is the role of digital technologies?," Operations Management Research, Springer, vol. 15(1), pages 282-297, June.
    23. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).
    24. Hosseini, Seyedmohsen & Barker, Kash, 2016. "A Bayesian network model for resilience-based supplier selection," International Journal of Production Economics, Elsevier, vol. 180(C), pages 68-87.
    25. Reza Yazdanparast & Reza Tavakkoli-Moghaddam & Razieh Heidari & Leyla Aliabadi, 2021. "A hybrid Z-number data envelopment analysis and neural network for assessment of supply chain resilience: a case study," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(2), pages 611-631, June.
    26. López, Cristina & Ishizaka, Alessio, 2019. "A hybrid FCM-AHP approach to predict impacts of offshore outsourcing location decisions on supply chain resilience," Journal of Business Research, Elsevier, vol. 103(C), pages 495-507.
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    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.

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