IDEAS home Printed from https://ideas.repec.org/a/taf/reroxx/v35y2022i1p1884-1912.html
   My bibliography  Save this article

What do we know about business and economics research during COVID-19: a bibliometric review

Author

Listed:
  • Muneer M. Alshater
  • Osama F. Atayah
  • Ashraf Khan

Abstract

The destructive COVID-19 has emerged as the most lethal disease and dented the global economies in every aspect. Consequently, a large amount of research emerged to understand the dynamics of COVID-19. Using meta-literature approach with combination of both bibliometric (quantitative) and content analysis (qualitative) approach, this study aims to present a comprehensive review of COVID-19 business-related research of 477 articles. The results reveal the most the most relevant and influential scientific aspects of the literature such as authors, articles, institutions, journals, and countries. We also identify intellectual structure within six streams: 1) COVID-19 and global economy, 2) Dynamics of COVID-19 in business and management research, 3) COVID-19 and financial markets, 4) COVID-19 and its implication for tourism & hospitality industry, 5) Dynamic of supply chain and COVID-19 and 6) COVID-19 and functionality of government. Lastly, the review of the literature helps us to identify the research gaps and present 62 future research directions.

Suggested Citation

  • Muneer M. Alshater & Osama F. Atayah & Ashraf Khan, 2022. "What do we know about business and economics research during COVID-19: a bibliometric review," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 1884-1912, December.
    • Handle: RePEc:taf:reroxx:v:35:y:2022:i:1:p:1884-1912
    DOI: 10.1080/1331677X.2021.1927786
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1331677X.2021.1927786
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1331677X.2021.1927786?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhu, Mingxue & Zhang, Hua & Xing, Wanli & Zhou, Xuanru & Wang, Lu & Sun, Haoyu, 2023. "Research on price transmission in Chinese mining stock market: Based on industry," Resources Policy, Elsevier, vol. 83(C).

    More about this item

    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:taf:reroxx:v:35:y:2022:i:1:p:1884-1912. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rero .

    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.