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Smart Contract Application in Resisting Extreme Weather Risks for the Prefabricated Construction Supply Chain: Prototype Exploration and Assessment

Author

Listed:
  • Zhu-Jun Wang

    (Xi’an Jiaotong University
    University of Maryland)

  • Yangyang Sun

    (Nanjing University of Science and Technology)

  • Qin Su

    (Xi’an Jiaotong University)

  • Muhammet Deveci

    (National Defence University
    Royal School of Mines, Imperial College London
    Lebanese American University)

  • Kannan Govindan

    (Shanghai Maritime University
    University of Adelaide
    Woxsen University)

  • Mirosław J. Skibniewski

    (University of Maryland
    Chaoyang University of Technology
    Polish Academy of Sciences)

  • Zhen-Song Chen

    (Wuhan University)

Abstract

The increasing frequency of extreme weather (EW) events has created significant vulnerabilities in the normal operations of the prefabricated construction supply chain (PCSC). This study aims to enhance the resilience of the PCSC against EW by utilizing smart contracts. The study proposes a prototype smart contract application to mitigate the risks posed by EW to the PCSC. Additionally, it identifies 28 potential barriers affecting smart contract adoption in the PCSC using the Technology-Organization-Environment framework. Furthermore, the paper presents a multi-objective optimization-based group decision-making method to assess the feasibility of smart contract adoption in the PCSC. An online survey was then conducted among 50 stakeholders from various links of the PCSC to gather insights into smart contract adoption. The results indicate that stakeholder awareness of smart contracts and the current corporate level are the most influential factors in decision-making. This research extends the application of smart contracts to risk management within the PCSC, offering valuable insights for stakeholders to enhance resilience and address the adverse effects of EW proactively.

Suggested Citation

  • Zhu-Jun Wang & Yangyang Sun & Qin Su & Muhammet Deveci & Kannan Govindan & Mirosław J. Skibniewski & Zhen-Song Chen, 2024. "Smart Contract Application in Resisting Extreme Weather Risks for the Prefabricated Construction Supply Chain: Prototype Exploration and Assessment," Group Decision and Negotiation, Springer, vol. 33(5), pages 1049-1087, October.
    • Handle: RePEc:spr:grdene:v:33:y:2024:i:5:d:10.1007_s10726-024-09877-x
    DOI: 10.1007/s10726-024-09877-x
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    1. Antonella Moretto & Laura Macchion, 2022. "Drivers, barriers and supply chain variables influencing the adoption of the blockchain to support traceability along fashion supply chains," Operations Management Research, Springer, vol. 15(3), pages 1470-1489, December.
    2. Sachin Kamble & Angappa Gunasekaran & Himanshu Arha, 2019. "Understanding the Blockchain technology adoption in supply chains-Indian context," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2009-2033, April.
    3. Sara Saberi & Mahtab Kouhizadeh & Joseph Sarkis & Lejia Shen, 2019. "Blockchain technology and its relationships to sustainable supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2117-2135, April.
    4. Choi, Tsan-Ming & Feng, Lipan & Li, Rong, 2020. "Information disclosure structure in supply chains with rental service platforms in the blockchain technology era," International Journal of Production Economics, Elsevier, vol. 221(C).
    5. Wang, Yingli & Singgih, Meita & Wang, Jingyao & Rit, Mihaela, 2019. "Making sense of blockchain technology: How will it transform supply chains?," International Journal of Production Economics, Elsevier, vol. 211(C), pages 221-236.
    6. Jiang Duan & Chen Zhang & Yu Gong & Steve Brown & Zhi Li, 2020. "A Content-Analysis Based Literature Review in Blockchain Adoption within Food Supply Chain," IJERPH, MDPI, vol. 17(5), pages 1-17, March.
    7. Ernst Fehr & Klaus M. Schmidt, 1999. "A Theory of Fairness, Competition, and Cooperation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 817-868.
    8. Volodymyr Babich & Gilles Hilary, 2020. "OM Forum—Distributed Ledgers and Operations: What Operations Management Researchers Should Know About Blockchain Technology," Manufacturing & Service Operations Management, INFORMS, vol. 22(2), pages 223-245, March.
    9. P. L. Yu, 1973. "A Class of Solutions for Group Decision Problems," Management Science, INFORMS, vol. 19(8), pages 936-946, April.
    10. Gabriella M. Hastig & ManMohan S. Sodhi, 2020. "Blockchain for Supply Chain Traceability: Business Requirements and Critical Success Factors," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 935-954, April.
    11. Zhai, Yue & Choi, Tsan-Ming & Shao, Saijun & Xu, Su Xiu & Huang, George Q., 2020. "Spatial-temporal hedging coordination in prefabricated housing production," International Journal of Production Economics, Elsevier, vol. 229(C).
    12. Yucheng Dong & Yao Li & Ying He & Xia Chen, 2021. "Preference–Approval Structures in Group Decision Making: Axiomatic Distance and Aggregation," Decision Analysis, INFORMS, vol. 18(4), pages 273-295, December.
    13. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2019. "The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 829-846, February.
    14. De Giovanni, Pietro, 2020. "Blockchain and smart contracts in supply chain management: A game theoretic model," International Journal of Production Economics, Elsevier, vol. 228(C).
    15. Kshetri, Nir, 2018. "1 Blockchain’s roles in meeting key supply chain management objectives," International Journal of Information Management, Elsevier, vol. 39(C), pages 80-89.
    16. Maher Agi & Ashish Kumar Jha, 2022. "Blockchain technology in the supply chain: An integrated theoretical perspective of organizational adoption," Post-Print hal-03602937, HAL.
    17. Yue Zhai & Ray Y. Zhong & Zhi Li & George Huang, 2017. "Production lead-time hedging and coordination in prefabricated construction supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 55(14), pages 3984-4002, July.
    18. Jiaguo Liu & Huimin Zhang & Lu Zhen, 2023. "Blockchain technology in maritime supply chains: applications, architecture and challenges," International Journal of Production Research, Taylor & Francis Journals, vol. 61(11), pages 3547-3563, June.
    19. Kouhizadeh, Mahtab & Saberi, Sara & Sarkis, Joseph, 2021. "Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers," International Journal of Production Economics, Elsevier, vol. 231(C).
    20. Zhaojing Wang & Hao Hu, 2018. "Dynamic response to demand variability for precast production rescheduling with multiple lines," International Journal of Production Research, Taylor & Francis Journals, vol. 56(16), pages 5386-5401, August.
    21. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    22. Du, Junliang & Liu, Sifeng & Liu, Yong, 2022. "A limited cost consensus approach with fairness concern and its application," European Journal of Operational Research, Elsevier, vol. 298(1), pages 261-275.
    23. 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.
    24. Antonios Litke & Dimosthenis Anagnostopoulos & Theodora Varvarigou, 2019. "Blockchains for Supply Chain Management: Architectural Elements and Challenges Towards a Global Scale Deployment," Logistics, MDPI, vol. 3(1), pages 1-17, January.
    25. Agi, Maher A.N. & Jha, Ashish Kumar, 2022. "Blockchain technology in the supply chain: An integrated theoretical perspective of organizational adoption," International Journal of Production Economics, Elsevier, vol. 247(C).
    26. Gerardine DeSanctis & R. Brent Gallupe, 1987. "A Foundation for the Study of Group Decision Support Systems," Management Science, INFORMS, vol. 33(5), pages 589-609, May.
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