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Sewage Treatment Equipment Supply Chain Collaboration and Resilience Improvement Path Analysis: Collaborative Decision-Making, Information Sharing, Risk Management

Author

Listed:
  • Xu Xu

    (Business School, Shanghai Dianji University, Shanghai 200120, China)

  • Jie Wang

    (Business School, Shanghai Dianji University, Shanghai 200120, China)

  • Chan He

    (Business School, Shanghai Dianji University, Shanghai 200120, China)

  • Xuting Jiang

    (Business School, Shanghai Dianji University, Shanghai 200120, China)

  • Qianru An

    (Business School, Shanghai Dianji University, Shanghai 200120, China)

Abstract

Since the dawn of the 21st century, supply chains (SCs) have faced an array of unprecedented challenges, encompassing economic volatility, escalating geopolitical conflicts, intensified trade disputes, and persistent environmental degradation. These challenges have imposed immense pressures on SCs, amplifying both the risks and occurrences of disruptions. In response to these critical demands, there has been a substantial increase in academic, industrial, and governmental focus on the resilience and recovery capabilities of SCs. In this context, the supply chain (SC) for sewage treatment equipment has been significantly affected. This study aims to systematically investigate collaborative strategies and mechanisms for bolstering the resilience of manufacturing SCs within the sewage treatment sector, with particular attention to collaborative decision-making, information sharing, and risk mitigation throughout the SC lifecycle. Following a comparative analysis of various methodologies, this paper employed the structural equation model (SEM) and subsequently conducted a comprehensive survey of manufacturers specializing in glass fiber sewage treatment systems, yielding 385 valid responses. Through this data, a structural equation model was developed to analyze pathways for resilience enhancement. A thorough analysis of the results indicates that Supply Chain Collaboration (SCC) and collaborative decision-making are instrumental in strengthening Glass Fiber Sewage Treatment Supply Chain Resilience (SCR) through the implementation of effective information sharing and risk management practices. These findings contribute to the theoretical framework of SCC and SCR by clarifying the influence of collaborative practices while also providing practical guidance for the governance and strategic management of sewage treatment equipment enterprises and their associated SCs. The conclusions drawn from this study can guide us in establishing a more resilient and sustainable SC ecosystem, making it more directive and capable of mitigating complex disruptions.

Suggested Citation

  • Xu Xu & Jie Wang & Chan He & Xuting Jiang & Qianru An, 2024. "Sewage Treatment Equipment Supply Chain Collaboration and Resilience Improvement Path Analysis: Collaborative Decision-Making, Information Sharing, Risk Management," Sustainability, MDPI, vol. 16(20), pages 1-22, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:9031-:d:1501716
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    References listed on IDEAS

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    1. Yu, Yugang & Zhou, Sijie & Shi, Ye, 2020. "Information sharing or not across the supply chain: The role of carbon emission reduction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
    2. David J. Teece, 2007. "Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance," Strategic Management Journal, Wiley Blackwell, vol. 28(13), pages 1319-1350, December.
    3. Guan, Zili & Zhang, Xumei & Zhou, Maosen & Dan, Yiran, 2020. "Demand information sharing in competing supply chains with manufacturer-provided service," International Journal of Production Economics, Elsevier, vol. 220(C).
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    2. Jia-Xing Duan & Wen-Xiu Hu & Zhi-Gang Zhang, 2025. "The Impact of Focal Firm Digitalization on Supply Chain Resilience: A Supply Chain Collaboration Perspective," Sustainability, MDPI, vol. 17(21), pages 1-38, October.

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