IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i8p6778-d1125742.html
   My bibliography  Save this article

Large-Scale Systems: Sustainable Economy and Transport in the Modern World

Author

Listed:
  • Sergio Useche

    (Research Institute on Traffic and Road Safety (INTRAS), University of Valencia, 46022 Valencia, Spain)

  • Jaehyung An

    (College of Business, Hankuk University of Foreign Studies, Seoul 02450, Republic of Korea)

  • Irina Makarova

    (Naberezhnye Chelny Institute, Kazan Federal University, 423822 Naberezhnye Chelny, Russia)

  • Polina Buyvol

    (Naberezhnye Chelny Institute, Kazan Federal University, 423822 Naberezhnye Chelny, Russia)

Abstract

Key large-scale global changes have marked the last decades [...]

Suggested Citation

  • Sergio Useche & Jaehyung An & Irina Makarova & Polina Buyvol, 2023. "Large-Scale Systems: Sustainable Economy and Transport in the Modern World," Sustainability, MDPI, vol. 15(8), pages 1-2, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6778-:d:1125742
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/8/6778/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/8/6778/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Raj, Alok & Mukherjee, Abheek Anjan & de Sousa Jabbour, Ana Beatriz Lopes & Srivastava, Samir K., 2022. "Supply chain management during and post-COVID-19 pandemic: Mitigation strategies and practical lessons learned," Journal of Business Research, Elsevier, vol. 142(C), pages 1125-1139.
    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. Ortiz-Barrios, Miguel & Arias-Fonseca, Sebastián & Ishizaka, Alessio & Barbati, Maria & Avendaño-Collante, Betty & Navarro-Jiménez, Eduardo, 2023. "Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study," Journal of Business Research, Elsevier, vol. 160(C).
    2. Sina Abbasi & Maryam Moosivand & Ilias Vlachos & Mohammad Talooni, 2023. "Designing the Location–Routing Problem for a Cold Supply Chain Considering the COVID-19 Disaster," Sustainability, MDPI, vol. 15(21), pages 1-24, October.
    3. Liu, Yapan & Jin, Ming, 2023. "Does supply chain network centrality affect firm cost stickiness?," Finance Research Letters, Elsevier, vol. 58(PB).
    4. Mukherjee, Abheek Anjan & Raj, Alok & Aggarwal, Shikha, 2023. "Identification of barriers and their mitigation strategies for industry 5.0 implementation in emerging economies," International Journal of Production Economics, Elsevier, vol. 257(C).
    5. Xiao, Zhenxin & Yang, Bin & Dong, Songting & Chuoyan Dong, Maggie, 2024. "B2B strategies for surviving global crises: A resource dependence perspective on the COVID−19 pandemic," Journal of Business Research, Elsevier, vol. 172(C).
    6. Eman Zmaily Dahmash & Thaira Madi & Ahmad Shatat & Yazan Oroud & Samar Khaled Hassan & Omaima Nassar & Affiong Iyire, 2023. "Assessment of Hospital Readiness to Respond to COVID-19 Pandemic in Jordan—A Cross Sectional Study," IJERPH, MDPI, vol. 20(3), pages 1-20, January.
    7. Mahmoud M. H. Alayis & Nermine Atteya, 2023. "Executive Decisions in Emergencies and Innovation in Supply Chain: A Suggested Model," International Journal of Business and Management, Canadian Center of Science and Education, vol. 18(5), pages 220-220, October.
    8. He, Xin & Xu, Xinwei & Shen, Yu, 2023. "How climate change affects enterprise inventory management —— From the perspective of regional traffic," Journal of Business Research, Elsevier, vol. 162(C).
    9. Jung-Fa Tsai & Shih-Ping Shen & Ming-Hua Lin, 2023. "Applying a Hybrid MCDM Model to Evaluate Green Supply Chain Management Practices," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    10. Jiang, Yifu & Olmo, Jose & Atwi, Majed, 2024. "Dynamic robust portfolio selection under market distress," The North American Journal of Economics and Finance, Elsevier, vol. 69(PB).
    11. Liu, Yi & Zhang, Hengyuan & Chen, Daniel Q., 2024. "On the economic implications of international travel restrictions: Evidence from Chinese MNEs’ firm value," Journal of Business Research, Elsevier, vol. 170(C).
    12. Karel Diéguez-Santana & Liliana B. Sarduy-Pereira & Neyfe Sablón-Cossío & Horacio Bautista-Santos & Fabiola Sánchez-Galván & Sebastiana del Monserrate Ruíz Cedeño, 2022. "Evaluation of the Circular Economy in a Pitahaya Agri-Food Chain," Sustainability, MDPI, vol. 14(5), pages 1-17, March.
    13. Tudoran, Ana Alina & Hjerrild Thomsen, Charlotte & Thomasen, Sophie, 2024. "Understanding consumer behavior during and after a Pandemic: Implications for customer lifetime value prediction models," Journal of Business Research, Elsevier, vol. 174(C).
    14. Kumar Mangla, Sachin & Chauhan, Ankur & Kundu, Tanmoy & Mardani, Abbas, 2023. "Emergency order allocation of e-medical supplies due to the disruptive events of the healthcare crisis," Journal of Business Research, Elsevier, vol. 155(PA).
    15. Ghasemy Yaghin, R. & Farmani, Zahra, 2023. "Planning a low-carbon, price-differentiated supply chain with scenario-based capacities and eco-friendly customers," International Journal of Production Economics, Elsevier, vol. 265(C).
    16. Nishant Saravanan & Jessica Olivares-Aguila & Alejandro Vital-Soto, 2022. "Bibliometric and Text Analytics Approaches to Review COVID-19 Impacts on Supply Chains," Sustainability, MDPI, vol. 14(23), pages 1-33, November.
    17. Md. Abdul Moktadir & Sanjoy Kumar Paul & Anil Kumar & Sunil Luthra & Syed Mithun Ali & Razia Sultana, 2023. "Strategic drivers to overcome the impacts of the COVID-19 pandemic: implications for ensuring resilience in supply chains," Operations Management Research, Springer, vol. 16(1), pages 466-488, March.
    18. Amin Eshkiti & Fatemeh Sabouhi & Ali Bozorgi-Amiri, 2023. "A data-driven optimization model to response to COVID-19 pandemic: a case study," Annals of Operations Research, Springer, vol. 328(1), pages 337-386, September.
    19. Yagi, Michiyuki & Managi, Shunsuke, 2023. "The spillover effects of rising energy prices following 2022 Russian invasion of Ukraine," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 680-695.
    20. Zhao, Nanyang & Hong, Jiangtao & Lau, Kwok Hung, 2023. "Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model," International Journal of Production Economics, Elsevier, vol. 259(C).

    More about this item

    Keywords

    n/a;

    Statistics

    Access and download statistics

    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:8:p:6778-:d:1125742. 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.