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Managing port-related supply chain disruptions (PSCDs): a management model and empirical evidence

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  • Hui Shan Loh
  • Vinh V. Thai

Abstract

In the contemporary port business environment, port resilience is of paramount importance for supply chain continuity. A result of the increased integration of ports into supply chains is ports’ potential to supply chain disruptions. This paper introduces a PSCD management model that incorporates the application of risk management, business continuity management, and quality management theories with the purpose of increasing port resilience such that supply chain continuity is enhanced. To validate this model, primary data were collected from samples of port operators and port authorities and analyzed using structural equation modeling with AMOS 22.0. The results indicate that managing PSCD using the management model contributes positively to the identification of internal and external opportunities and through that to port’s resilience of internal operations. This, in turn, positively influences port’s financial health and market reputation. The management model has several managerial and academic implications as it offers meaningful insights on policy development as well as theory building.

Suggested Citation

  • Hui Shan Loh & Vinh V. Thai, 2016. "Managing port-related supply chain disruptions (PSCDs): a management model and empirical evidence," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(4), pages 436-455, May.
    • Handle: RePEc:taf:marpmg:v:43:y:2016:i:4:p:436-455
    DOI: 10.1080/03088839.2015.1107921
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    1. Robert S. Kaplan, 2010. "Conceptual Foundations of the Balanced Scorecard," Harvard Business School Working Papers 10-074, Harvard Business School.
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    Cited by:

    1. Bowei Xu & Junjun Li & Yongsheng Yang & Huafeng Wu & Octavian Postolache, 2019. "Model and Resilience Analysis for Handling Chain Systems in Container Ports," Complexity, Hindawi, vol. 2019, pages 1-12, July.
    2. Heather Holden & Maha Hussein Abdallah & Dane Rowlands, 2023. "A study to assess the applicability of using remote sensing to minimize service interruption of Canadian port physical infrastructure," Journal of Transportation Security, Springer, vol. 16(1), pages 1-18, December.
    3. Zhen, Lu & Lin, Shumin & Zhou, Chenhao, 2022. "Green port oriented resilience improvement for traffic-power coupled networks," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    4. Yingjie Fan & Frank Schwartz & Stefan Voß & David L. Woodruff, 2017. "Stochastic programming for flexible global supply chain planning," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 601-633, December.
    5. Hossain, Niamat Ullah Ibne & Nur, Farjana & Hosseini, Seyedmohsen & Jaradat, Raed & Marufuzzaman, Mohammad & Puryear, Stephen M., 2019. "A Bayesian network based approach for modeling and assessing resilience: A case study of a full service deep water port," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 378-396.
    6. Wang, Nanxi & Wu, Min & Yuen, Kum Fai, 2023. "Assessment of port resilience using Bayesian network: A study of strategies to enhance readiness and response capacities," Reliability Engineering and System Safety, Elsevier, vol. 237(C).

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