IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i16p12115-d1212747.html
   My bibliography  Save this article

Global Supply Chain Nervousness (GSCN)

Author

Listed:
  • Ghazi M. Magableh

    (Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid 21163, Jordan)

  • Mahmoud Z. Mistarihi

    (Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid 21163, Jordan
    Department of Mechanical and Industrial Engineering, Faculty of Engineering, Liwa College, Abu Dhabi P.O. Box 41009, United Arab Emirates)

Abstract

In today’s competitive environment, managing supply chains (SCs) is becoming increasingly challenging. Demand uncertainty, globalization, shorter product and technology lifespans, and growth in the number of logistics partners result in more sophisticated global supply relationships, which in turn, increase SC vulnerability. Generally, nervousness reduces SC effectiveness because SC instability is primarily caused by events that are external to the business domain. This tension creates uncertainty, increases the cost of maintaining supply chains, and makes relationships with suppliers and customers unpredictable. This study analyzed global SC nervousness (GSCN) components in terms of drivers, consequences, indicators, and pillars, and proposed solutions. A questionnaire was used to study and evaluate the characteristics of the GSCN, and the DELPHI–FAHP was used to analyze the results and designate the factors that most impact nervousness mitigation in the supply chain. To this end, a framework is presented to discuss the interactions of nervousness in a SC with an integrated solution. The results indicate that demand planning, sourcing strategy, collaboration, risk management, and sustainable SC, along with technological innovation applications, represent essential demands for a smarter future GSC vision.

Suggested Citation

  • Ghazi M. Magableh & Mahmoud Z. Mistarihi, 2023. "Global Supply Chain Nervousness (GSCN)," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12115-:d:1212747
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/16/12115/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/16/12115/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qinyun Li & Stephen M. Disney, 2017. "Revisiting rescheduling: MRP nervousness and the bullwhip effect," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1992-2012, April.
    2. Mahmoud Z. Mistarihi & Ghazi M. Magableh, 2023. "Prioritization of Supply Chain Capabilities Using the FAHP Technique," Sustainability, MDPI, vol. 15(7), pages 1-19, April.
    3. A. Noorul Haq & Varma Boddu, 2017. "Analysis of enablers for the implementation of leagile supply chain management using an integrated fuzzy QFD approach," Journal of Intelligent Manufacturing, Springer, vol. 28(1), pages 1-12, January.
    4. Barbara B. Flynn & Xenophon Koufteros & Guanyi Lu, 2016. "On Theory in Supply Chain Uncertainty and its Implications for Supply Chain Integration," Journal of Supply Chain Management, Institute for Supply Management, vol. 52(3), pages 3-27, July.
    5. Loh, Hui Shan & Yuen, Kum Fai & Wang, Xueqin & Surucu-Balci, Ebru & Balci, Gökcay & Zhou, Qingji, 2020. "Airport selection criteria of low-cost carriers: A fuzzy analytical hierarchy process," Journal of Air Transport Management, Elsevier, vol. 83(C).
    6. Christian Busse & Jan Meinlschmidt & Kai Foerstl, 2017. "Managing Information Processing Needs in Global Supply Chains: A Prerequisite to Sustainable Supply Chain Management," Journal of Supply Chain Management, Institute for Supply Management, vol. 53(1), pages 87-113, January.
    7. Ying Liao, 2020. "An integrative framework of supply chain flexibility," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 69(6), pages 1321-1342, March.
    8. Koilo, Viktoriia & Grytten, Ola Honningdal, 2019. "The Blue Maritime Cluster Crisis: Financial Instability and Supply Chain Management Effects," Discussion Paper Series in Economics 15/2019, Norwegian School of Economics, Department of Economics.
    9. Tunc, Huseyin & Kilic, Onur A. & Tarim, S. Armagan & Eksioglu, Burak, 2013. "A simple approach for assessing the cost of system nervousness," International Journal of Production Economics, Elsevier, vol. 141(2), pages 619-625.
    10. Qi, Yinan & Huo, Baofeng & Wang, Zhiqiang & Yeung, Hoi Yan Jeff, 2017. "The impact of operations and supply chain strategies on integration and performance," International Journal of Production Economics, Elsevier, vol. 185(C), pages 162-174.
    11. Dmitry Ivanov, 2018. "Structural Dynamics and Resilience in Supply Chain Risk Management," International Series in Operations Research and Management Science, Springer, number 978-3-319-69305-7, September.
    12. Dmitry Ivanov, 2018. "Principles and Methods of Model-Based Decision-Making in the Supply Chain," International Series in Operations Research & Management Science, in: Structural Dynamics and Resilience in Supply Chain Risk Management, chapter 0, pages 91-114, Springer.
    Full references (including those not matched with items on IDEAS)

    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. Madduma Kaluge Chamitha Sanjani Wijewickrama & Nicholas Chileshe & Raufdeen Rameezdeen & Jose Jorge Ochoa, 2021. "Minimizing Macro-Level Uncertainties for Quality Assurance in Reverse Logistics Supply Chains of Demolition Waste," Sustainability, MDPI, vol. 13(23), pages 1-35, November.
    2. Chen, Meng & Tang, Xinlin & Liu, Hefu & Gu, Jibao, 2023. "The impact of supply chain concentration on integration and business performance," International Journal of Production Economics, Elsevier, vol. 257(C).
    3. ur Rehman, Attique & Shakeel Sadiq Jajja, Muhammad & Farooq, Sami, 2022. "Manufacturing planning and control driven supply chain risk management: A dynamic capability perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    4. Van Belle, Jente & Crevits, Ruben & Verbeke, Wouter, 2023. "Improving forecast stability using deep learning," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1333-1350.
    5. David C. Hall & Tracy D. Johnson-Hall, 2021. "The value of downstream traceability in food safety management systems: an empirical examination of product recalls," Operations Management Research, Springer, vol. 14(1), pages 61-77, June.
    6. Ben-Ammar, Oussama & Bettayeb, Belgacem & Dolgui, Alexandre, 2019. "Optimization of multi-period supply planning under stochastic lead times and a dynamic demand," International Journal of Production Economics, Elsevier, vol. 218(C), pages 106-117.
    7. Zhao, Xiaofei & Wang, Ping & Pal, Raktim, 2021. "The effects of agro-food supply chain integration on product quality and financial performance: Evidence from Chinese agro-food processing business," International Journal of Production Economics, Elsevier, vol. 231(C).
    8. Prajogo, Daniel & Toy, Jordan & Bhattacharya, Ananya & Oke, Adegoke & Cheng, T.C.E., 2018. "The relationships between information management, process management and operational performance: Internal and external contexts," International Journal of Production Economics, Elsevier, vol. 199(C), pages 95-103.
    9. Jessica L. Darby & David J. Ketchen & Brent D. Williams & Travis Tokar, 2020. "The Implications of Firm‐Specific Policy Risk, Policy Uncertainty, and Industry Factors for Inventory: A Resource Dependence Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(4), pages 3-24, October.
    10. Kilic, Onur A. & Tunc, Huseyin & Tarim, S. Armagan, 2018. "Heuristic policies for the stochastic economic lot sizing problem with remanufacturing under service level constraints," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1102-1109.
    11. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    12. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    13. Winkler, Lorenz & Kilic, Onur A. & Veldman, Jasper, 2022. "Collaboration in the offshore wind farm decommissioning supply chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    14. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    15. Gurkan, M. Edib & Tunc, Huseyin & Tarim, S. Armagan, 2022. "The joint stochastic lot sizing and pricing problem," Omega, Elsevier, vol. 108(C).
    16. 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.
    17. Doan, Ngoc Thang, 2023. "Cultural proximity and global value chains," International Economics, Elsevier, vol. 175(C), pages 106-120.
    18. Kirti Nayal & Rakesh D. Raut & Balkrishna E. Narkhede & Pragati Priyadarshinee & Gajanan B. Panchal & Vidyadhar V. Gedam, 2023. "Antecedents for blockchain technology-enabled sustainable agriculture supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 293-337, August.
    19. Hong, Paul & Jagani, Sandeep & Kim, Jinhwan & Youn, Sun Hee, 2019. "Managing sustainability orientation: An empirical investigation of manufacturing firms," International Journal of Production Economics, Elsevier, vol. 211(C), pages 71-81.
    20. Sereshti, Narges & Adulyasak, Yossiri & Jans, Raf, 2021. "The value of aggregate service levels in stochastic lot sizing problems," Omega, Elsevier, vol. 102(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:gam:jsusta:v:15:y:2023:i:16:p:12115-:d:1212747. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.