IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-28131-0_17.html
   My bibliography  Save this book chapter

Digitalization and Innovation Transfer as a Leadership Trend in Education: Bibliometric Analysis and Social Analytics

In: Leadership, Entrepreneurship and Sustainable Development Post COVID-19

Author

Listed:
  • Vitaliia Koibichuk

    (Sumy State University)

  • Anastasiia Samoilikova

    (Sumy State University)

  • Tetiana Vasylieva

    (Sumy State University
    Silesian University of Technology
    The London Academy of Science and Business)

Abstract

Today, digitalization is both an important direction and a significant result of the transfer of innovation. It has covered all spheres of modern life, and education is no exception. Moreover, the COVID-19 pandemic has significantly affected the transformation of learning around the world. Thus, the main purpose of this chapter is to determine key trends in learning transformation in the context of digitalization and innovation transfer as a leadership trend in education based on bibliometric and cluster analysis and social analytics. To achieve this target, the bibliometric analysis of indexed scientific papers by the Scopus database, the comparative and quantitative analysis of statistical metrics were made using ScientoPy software and Python language. The number of publications devoted to research of development and features of the e-learning market has increased rapidly over the past 2 years (2020–2021), almost three times compared to 2016–2020. The growing use of artificial intelligence and machine learning in the e-learning system stimulates the mastery of digitalization tools in education. This chapter presents the dynamics of the market of electronic educational services in accordance with statistical data and the results of the forecast of the leading research and consulting company, the advantages of e-learning, and the most used of them, and disadvantages and problems of distance learning. Comparative characteristics of indicators of infrastructure, access, opportunities, and barriers are studied for Poland, Ukraine, Germany, and Cyprus. Also, there is the cluster analysis of the median values of countries’ web behavior in relation to online learning. It was performed using the Ward’s method and Agglomeration scheme in Statgraphics 19 software based on IEEE data set from 20 countries and Google Trends analytics for the 18 years period. Six clusters of countries that have similar web behavior related to online learning were determined. The received results can be used by state and local authorities and scientific and educational institutions for the further development and improvement of e-learning technologies to strengthen leadership in education.

Suggested Citation

  • Vitaliia Koibichuk & Anastasiia Samoilikova & Tetiana Vasylieva, 2023. "Digitalization and Innovation Transfer as a Leadership Trend in Education: Bibliometric Analysis and Social Analytics," Springer Proceedings in Business and Economics, in: Wadim Strielkowski (ed.), Leadership, Entrepreneurship and Sustainable Development Post COVID-19, chapter 0, pages 233-247, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-28131-0_17
    DOI: 10.1007/978-3-031-28131-0_17
    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.

    More about this item

    Keywords

    Artificial intelligence; Distance learning; e-learning; Leadership in education; Web behavior;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    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:spr:prbchp:978-3-031-28131-0_17. 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.