IDEAS home Printed from https://ideas.repec.org/a/ris/statec/0090.html
   My bibliography  Save this article

Assessment of the Implementation of New Digital Technologies in Connection with the Level of Efficiency of Supply Chains in the Context of COVID-19

Author

Listed:
  • Rogulin, Rodion S.

    (Vladivostok State University of Economics and Service)

Abstract

Introduction. In the extreme conditions of the COVID-19 pandemic, the vitality of supply chains has come to the fore, that is, their ability to self-support and survival in a changing environment through restructuring and rescheduling of productivity with long-term consequences. An effective information system and governance can help not only improve customer service and control costs but also facilitate planning to achieve key sustainability indicators such as environmental, economic, and social development. The purpose of this paper is to assess the impact of the widespread adoption of new digital technologies on the level of efficiency of supply chains in the face of disruption caused by the pandemic. Materials and Methods. For this study, statistical data were collected for the period from 2010 to 2019. Sources: Organization for Economic Cooperation and Development; The World Bank; Institute for Global Entrepreneurship and Development, etc. A logical-heuristic algorithm was used to form a system of indicators for assessing the effectiveness of information and communication technology and logistics. Results. It has been found that countries with a high level of economic development as evidenced by persistently high values of gross domestic product in the pre-crisis period show high indicators both in terms of the efficiency of logistics systems and in terms of digital transformation of the economy. At the same time, countries with low and below-average levels of economic development do not show high results in the context of logistics systems, but they also do not demonstrate a correlation between the level of economic development and the level of logistics efficiency and the level of digital life. Conclusion. Thus, the study has shown that the role of information and communication technology in improving the efficiency of supply chains becomes significant in favorable economic conditions in the country, and in times of crisis, the role of information and communication technology significantly increases and contributes to the restoration of supply chains and the survival of business in general.

Suggested Citation

  • Rogulin, Rodion S., 2021. "Assessment of the Implementation of New Digital Technologies in Connection with the Level of Efficiency of Supply Chains in the Context of COVID-19," Economic Consultant, Roman I. Ostapenko, vol. 35(3), pages 5-17.
  • Handle: RePEc:ris:statec:0090
    as

    Download full text from publisher

    File URL: https://statecounsellor.files.wordpress.com/2021/08/210302.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yoon, Seong No & Lee, DonHee & Schniederjans, Marc, 2016. "Effects of innovation leadership and supply chain innovation on supply chain efficiency: Focusing on hospital size," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 412-421.
    2. Raut, Rakesh D. & Narkhede, Balkrishna & Gardas, Bhaskar B., 2017. "To identify the critical success factors of sustainable supply chain management practices in the context of oil and gas industries: ISM approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 33-47.
    3. Yipeng Liu & Jong Min Lee & Celia Lee, 2020. "The challenges and opportunities of a global health crisis: the management and business implications of COVID-19 from an Asian perspective," Asian Business & Management, Palgrave Macmillan, vol. 19(3), pages 277-297, July.
    4. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2020. "Reconfigurable supply chain: the X-network," International Journal of Production Research, Taylor & Francis Journals, vol. 58(13), pages 4138-4163, July.
    5. Vahid Nooraie, S. & Parast, Mahour Mellat, 2016. "Mitigating supply chain disruptions through the assessment of trade-offs among risks, costs and investments in capabilities," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 8-21.
    6. Dmitry Ivanov & Alexandre Dolgui, 2020. "Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
    7. Sunil Luthra & Sachin Kumar Mangla & Felix T. S. Chan & V. G. Venkatesh, 2018. "Evaluating the Drivers to Information and Communication Technology for Effective Sustainability Initiatives in Supply Chains," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 311-338, January.
    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. R.S. Rogulin, 2021. "The Role of ICT and Entrepreneurship in forming Sustainable Supply Chains: Before and After the Covid-19 Pandemic," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(3), pages 461-488.
    2. Muhammad Umar Farooq & Amjad Hussain & Tariq Masood & Muhammad Salman Habib, 2021. "Supply Chain Operations Management in Pandemics: A State-of-the-Art Review Inspired by COVID-19," Sustainability, MDPI, vol. 13(5), pages 1-33, February.
    3. Sardesai, Saskia & Klingebiel, Katja, 2023. "Maintaining viability by rapid supply chain adaptation using a process capability index," Omega, Elsevier, vol. 115(C).
    4. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry & Zennaro, Ilenia, 2021. "Costs of resilience and disruptions in supply chain network design models: A review and future research directions," International Journal of Production Economics, Elsevier, vol. 235(C).
    5. Tang, Lianhua & Li, Yantong & Bai, Danyu & Liu, Tao & Coelho, Leandro C., 2022. "Bi-objective optimization for a multi-period COVID-19 vaccination planning problem," Omega, Elsevier, vol. 110(C).
    6. 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).
    7. Shraddha Mishra & Surya Prakash Singh, 2022. "Designing dynamic reverse logistics network for post-sale service," Annals of Operations Research, Springer, vol. 310(1), pages 89-118, March.
    8. 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).
    9. Chervenkova, Tanya & Ivanov, Dmitry, 2023. "Adaptation strategies for building supply chain viability: A case study analysis of the global automotive industry re-purposing during the COVID-19 pandemic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    10. Burgos, Diana & Ivanov, Dmitry, 2021. "Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    11. Mohammadi, Mehrdad & Dehghan, Milad & Pirayesh, Amir & Dolgui, Alexandre, 2022. "Bi‐objective optimization of a stochastic resilient vaccine distribution network in the context of the COVID‐19 pandemic," Omega, Elsevier, vol. 113(C).
    12. Amjad Hussain & Muhammad Umar Farooq & Muhammad Salman Habib & Tariq Masood & Catalin I. Pruncu, 2021. "COVID-19 Challenges: Can Industry 4.0 Technologies Help with Business Continuity?," Sustainability, MDPI, vol. 13(21), pages 1-25, October.
    13. Margarida Rodrigues & Mário Franco & Nuno Sousa & Rui Silva, 2021. "Reviewing COVID-19 Literature on Business Management: What It Portends for Future Research?," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
    14. Archana A Mukherjee & Rajesh Kumar Singh & Ruchi Mishra & Surajit Bag, 2022. "Application of blockchain technology for sustainability development in agricultural supply chain: justification framework," Operations Management Research, Springer, vol. 15(1), pages 46-61, June.
    15. Tomasz Rokicki & Piotr Bórawski & Aneta Bełdycka-Bórawska & András Szeberényi & Aleksandra Perkowska, 2022. "Changes in Logistics Activities in Poland as a Result of the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(16), pages 1-24, August.
    16. Weili Yin & Wenxue Ran, 2021. "Theoretical Exploration of Supply Chain Viability Utilizing Blockchain Technology," Sustainability, MDPI, vol. 13(15), pages 1-25, July.
    17. Salarpour, Mojtaba & Nagurney, Anna, 2021. "A multicountry, multicommodity stochastic game theory network model of competition for medical supplies inspired by the Covid-19 pandemic," International Journal of Production Economics, Elsevier, vol. 236(C).
    18. Queiroz, Maciel M. & Fosso Wamba, Samuel & Chiappetta Jabbour, Charbel Jose & Machado, Marcio C., 2022. "Supply chain resilience in the UK during the coronavirus pandemic: A resource orchestration perspective," International Journal of Production Economics, Elsevier, vol. 245(C).
    19. Lohmer, Jacob & Bugert, Niels & Lasch, Rainer, 2020. "Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study," International Journal of Production Economics, Elsevier, vol. 228(C).
    20. Ivanov, Dmitry, 2023. "Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability," International Journal of Production Economics, Elsevier, vol. 263(C).

    More about this item

    Keywords

    supply chain; information and communication technology; management; efficiency; COVID-19; pandemic; coping strategy; supply chain disruptions;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation

    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:ris:statec:0090. 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: Roman I. Ostapenko (email available below). General contact details of provider: .

    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.