IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-49105-4_61.html
   My bibliography  Save this book chapter

Big Data in Economics Research

In: Applied Economic Research and Trends

Author

Listed:
  • Aristidis Bitzenis

    (University of Macedonia)

  • Nikos Koutsoupias

    (University of Macedonia)

Abstract

The relationship between Big Data Technologies (BDs) and Economics Research has experienced significant growth, offering possibilities for systematic and bibliometric evaluations. Surprisingly, no bibliometric study has yet been conducted on the association between Big Data Technologies and Economics Research (BDER). To bridge this gap, our research utilizes a bibliometric analysis to conduct a statistical evaluation of published studies and assess the impact of these publications within the scientific community. We performed an extensive bibliometric analysis, both qualitative and quantitative, utilizing Scopus indexed articles from Economics fields spanning for the last decade, along with the R-language data analysis package, bibliometrix. Our analysis yielded various findings, including insights on the most influential authors, journals. We also explored the theoretical foundations, themes, and current research trends within the field of BDs and its impact on economic issues. Additionally, we investigated the evolution of research streams and trends in BDER areas and highlighted several potential avenues for future research.

Suggested Citation

  • Aristidis Bitzenis & Nikos Koutsoupias, 2024. "Big Data in Economics Research," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Applied Economic Research and Trends, chapter 0, pages 1063-1072, Springer.
  • Handle: RePEc:spr:prbchp:978-3-031-49105-4_61
    DOI: 10.1007/978-3-031-49105-4_61
    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:978-3-031-49105-4_61. 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.