IDEAS home Printed from https://ideas.repec.org/a/pal/marecl/v23y2021i2d10.1057_s41278-020-00163-6.html
   My bibliography  Save this article

Can digital ecosystems mitigate risks in sea transport operations? Estimating benefits for supply chain stakeholders

Author

Listed:
  • Luca Urciuoli

    (KTH Royal Institute of Technology
    MIT-Zaragoza Logistics Center
    Massachusetts Institute of Technology)

  • Juha Hintsa

    (Cross-Border Research Association (CBRA))

Abstract

Decision-making supported by digital ecosystems has been increasingly studied during recent years, especially due to improved technical capabilities to collect, store, and analyze large amounts of data. The literature recognizes that these systems can reduce response time of managers and enhance a cost-efficient recovery of supply chains. However, there is a lack of methodological frameworks to evaluate the benefits of these platforms. In addition, there is still little understanding of the risks in ocean container transport and their implications for supply chains. This paper proposes and applies a mathematical model for evaluating the impacts of digital platforms, with a focus on solutions to mitigate risks in sea transport operations. The model is based on scenarios and decision tree models to evaluate the impacts of a supply chain digital ecosystem on full containers shipped from Asia to Europe implemented by four companies. Results show monetary savings per scenario in the range from €3448 to €79,242. The most significant savings are expected on unplanned transshipments, cargo damage, export inspections, container detention, and container release.

Suggested Citation

  • Luca Urciuoli & Juha Hintsa, 2021. "Can digital ecosystems mitigate risks in sea transport operations? Estimating benefits for supply chain stakeholders," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(2), pages 237-267, June.
    • Handle: RePEc:pal:marecl:v:23:y:2021:i:2:d:10.1057_s41278-020-00163-6
    DOI: 10.1057/s41278-020-00163-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41278-020-00163-6
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41278-020-00163-6?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. Park, YoungWon & Hong, Paul & Roh, James Jungbae, 2013. "Supply chain lessons from the catastrophic natural disaster in Japan," Business Horizons, Elsevier, vol. 56(1), pages 75-85.
    2. N. Viswanadham & Roshan S. Gaonkar, 2008. "Risk Management in Global Supply Chain Networks," International Series in Operations Research & Management Science, in: Christopher S. Tang & Chung-Piaw Teo & Kwok-Kee Wei (ed.), Supply Chain Analysis, pages 201-222, Springer.
    3. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    4. Mueller, Rolf A.E. & Buergelt, Doreen & Seidel-Lass, Linda, 2008. "Supply Chains and Social Network Analysis," 110th Seminar, February 18-22, 2008, Innsbruck-Igls, Austria 49883, European Association of Agricultural Economists.
    5. Hau L. Lee, Seungjin Whang, 2000. "Information sharing in a supply chain," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 1(1), pages 79-93.
    6. Moon Gyu Kim & Yoon Min Hwang & Jae Jeung Rho, 2016. "The impact of RFID utilization and supply chain information sharing on supply chain performance: Focusing on the moderating role of supply chain culture," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 18(1), pages 78-100, March.
    7. King, JR, 1973. "Decision analysis by decision tree," Omega, Elsevier, vol. 1(1), pages 79-105, February.
    8. Kim, H. & Koehler, G. J., 1995. "Theory and practice of decision tree induction," Omega, Elsevier, vol. 23(6), pages 637-652, December.
    9. Vinh V Thai, 2007. "Impacts of Security Improvements on Service Quality in Maritime Transport: An Empirical Study of Vietnam," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 9(4), pages 335-356, December.
    10. Heckmann, Iris & Comes, Tina & Nickel, Stefan, 2015. "A critical review on supply chain risk – Definition, measure and modeling," Omega, Elsevier, vol. 52(C), pages 119-132.
    11. Theo E Notteboom, 2006. "The Time Factor in Liner Shipping Services," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 8(1), pages 19-39, March.
    12. Caridi, Maria & Moretto, Antonella & Perego, Alessandro & Tumino, Angela, 2014. "The benefits of supply chain visibility: A value assessment model," International Journal of Production Economics, Elsevier, vol. 151(C), pages 1-19.
    13. Yu, Min-Chun & Goh, Mark, 2014. "A multi-objective approach to supply chain visibility and risk," European Journal of Operational Research, Elsevier, vol. 233(1), pages 125-130.
    14. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
    15. Yacov Y. Haimes & Stan Kaplan & James H. Lambert, 2002. "Risk Filtering, Ranking, and Management Framework Using Hierarchical Holographic Modeling," Risk Analysis, John Wiley & Sons, vol. 22(2), pages 383-397, April.
    16. Berger, Paul D. & Gerstenfeld, Arthur & Zeng, Amy Z., 2004. "How many suppliers are best? A decision-analysis approach," Omega, Elsevier, vol. 32(1), pages 9-15, February.
    17. Lee, Hau L. & Whang, Seungjin, 2005. "Higher supply chain security with lower cost: Lessons from total quality management," International Journal of Production Economics, Elsevier, vol. 96(3), pages 289-300, June.
    18. Pfohl, Hans-Christian & Köhler, Holger & Thomas, David, 2010. "State of the art in supply chain risk management research. Empirical and conceptual findings and a roadmap for the implementation in practice," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 41981, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hu, Wenfa & He, Xinhua, 2024. "The role of fiscal policies in supporting a transition to a low-carbon economy: Evidence from the Chinese shipping industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    2. Shahrzad Nikghadam & Kim F. Molkenboer & Lori Tavasszy & Jafar Rezaei, 2023. "Information sharing to mitigate delays in port: the case of the Port of Rotterdam," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(3), pages 576-601, September.
    3. Surucu-Balci, Ebru & Iris, Çağatay & Balci, Gökcay, 2024. "Digital information in maritime supply chains with blockchain and cloud platforms: Supply chain capabilities, barriers, and research opportunities," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

    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. Sawik, Tadeusz, 2015. "On the fair optimization of cost and customer service level in a supply chain under disruption risks," Omega, Elsevier, vol. 53(C), pages 58-66.
    2. 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.
    3. Pastore, Erica & Alfieri, Arianna & Zotteri, Giulio, 2019. "An empirical investigation on the antecedents of the bullwhip effect: Evidence from the spare parts industry," International Journal of Production Economics, Elsevier, vol. 209(C), pages 121-133.
    4. Kembro, Joakim & Näslund, Dag & Olhager, Jan, 2017. "Information sharing across multiple supply chain tiers: A Delphi study on antecedents," International Journal of Production Economics, Elsevier, vol. 193(C), pages 77-86.
    5. Moellers, Claudia & Normann, Hans-Theo & Snyder, Christopher M., 2017. "Communication in vertical markets: Experimental evidence," International Journal of Industrial Organization, Elsevier, vol. 50(C), pages 214-258.
    6. Chowdhury, Md Maruf H. & Quaddus, Mohammed, 2017. "Supply chain resilience: Conceptualization and scale development using dynamic capability theory," International Journal of Production Economics, Elsevier, vol. 188(C), pages 185-204.
    7. Graça, Paula & Camarinha-Matos, Luís M., 2017. "Performance indicators for collaborative business ecosystems — Literature review and trends," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 237-255.
    8. 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.
    9. Efrah Wozir Abdulahi & Luo Fan, 2021. "Exploring and Validating Container Operational Risk Scale in Container Shipping: The Case of Ethiopian Shipping and Logistics Service Enterprise," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    10. Margolis, Joshua T. & Sullivan, Kelly M. & Mason, Scott J. & Magagnotti, Mariah, 2018. "A multi-objective optimization model for designing resilient supply chain networks," International Journal of Production Economics, Elsevier, vol. 204(C), pages 174-185.
    11. Arcan Nalca, & Tamer Boyaci, & Saibal Ray, 2017. "Consumer taste uncertainty in the context of store brand and national brand competition," ESMT Research Working Papers ESMT-17-01, ESMT European School of Management and Technology.
    12. Sawik, Tadeusz, 2014. "Joint supplier selection and scheduling of customer orders under disruption risks: Single vs. dual sourcing," Omega, Elsevier, vol. 43(C), pages 83-95.
    13. Yue, Xiaohang & Mukhopadhyay, Samar K. & Zhu, Xiaowei, 2006. "A Bertrand model of pricing of complementary goods under information asymmetry," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1182-1192, October.
    14. Senlin Zhao & Qinghua Zhu, 2017. "Remanufacturing supply chain coordination under the stochastic remanufacturability rate and the random demand," Annals of Operations Research, Springer, vol. 257(1), pages 661-695, October.
    15. Ruiz-Torres, Alex J. & Mahmoodi, Farzad, 2007. "The optimal number of suppliers considering the costs of individual supplier failures," Omega, Elsevier, vol. 35(1), pages 104-115, February.
    16. Lydia Novoszel & Tina Wakolbinger, 2022. "Meta-analysis of Supply Chain Disruption Research," SN Operations Research Forum, Springer, vol. 3(1), pages 1-25, March.
    17. Ramanathan, Usha & Gunasekaran, Angappa, 2014. "Supply chain collaboration: Impact of success in long-term partnerships," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 252-259.
    18. Abdurrezzak Sener & Mehmet Barut & Ali Dag & Mehmet Bayram Yildirim, 2021. "Impact of commitment, information sharing, and information usage on supplier performance: a Bayesian belief network approach," Annals of Operations Research, Springer, vol. 303(1), pages 125-158, August.
    19. Heckmann, Iris & Comes, Tina & Nickel, Stefan, 2015. "A critical review on supply chain risk – Definition, measure and modeling," Omega, Elsevier, vol. 52(C), pages 119-132.
    20. Fattahi, Mohammad, 2021. "Resilient procurement planning for supply chains: A case study for sourcing a critical mineral material," Resources Policy, Elsevier, vol. 74(C).

    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:pal:marecl:v:23:y:2021:i:2:d:10.1057_s41278-020-00163-6. 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.palgrave-journals.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.