IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-030-93286-2_4.html
   My bibliography  Save this book chapter

Risk Management of Agri-Food Value Chains—Exploring Research Trends from the Web of Science

In: Digitalization and Big Data for Resilience and Economic Intelligence

Author

Listed:
  • Irina-Elena Petrescu

    (Bucharest University of Economic Studies)

  • Raluca Ignat

    (Bucharest University of Economic Studies)

  • Marius Constantin

    (Bucharest University of Economic Studies)

  • Mihai Istudor

    (Bucharest University of Economic Studies)

Abstract

Risk management has always been considered of high importance when approaching the topic of agri-food value chains. By design, the management of agricultural and food systems is challenging. This is due to the high degree of uncertainty involving the success of making profit from carrying out small-scale agricultural activities with less performance of innovative technologies compared to multinational corporations. In this field, the literature is broad—there are numerous risk management studies focused on methods designed to prevent and mitigate the negative effects of threats that could significantly affect activities carried out with the aim of adding value along the agri-food chains. The aim of this research was to explore emerging research trends concerning risk management approaches in the literature related to agri-food value chains. In this regard, a comparative bibliometric analysis was carried out based on the research papers indexed in the Web of Science before and after the year 2015. Results show a paradigm shift caused not only by the need for a sustainable approach of risk management in the case of the global agri-food value chain but results also show a paradigm shift concerning the management of creating and co-creating value along the agri-food chains.

Suggested Citation

  • Irina-Elena Petrescu & Raluca Ignat & Marius Constantin & Mihai Istudor, 2022. "Risk Management of Agri-Food Value Chains—Exploring Research Trends from the Web of Science," Springer Proceedings in Business and Economics, in: Alina Mihaela Dima & Mihaela Kelemen (ed.), Digitalization and Big Data for Resilience and Economic Intelligence, pages 55-66, Springer.
  • Handle: RePEc:spr:prbchp:978-3-030-93286-2_4
    DOI: 10.1007/978-3-030-93286-2_4
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prbchp:978-3-030-93286-2_4. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.springer.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.