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  • Please use this identifier to cite or link to this item: https://repositorio.uti.edu.ec//handle/123456789/4442
    Title: Bibliometric Analysis of Existing Knowledge on Digital Transformation in Higher Education
    Authors: Cruz-Cárdenas, Jorge
    Ramos-Galarza, Carlos
    Guadalupe-Lanas, Jorge
    Palacio-Fierro, Andrés
    Galárraga-Carvajal, Mercedes
    Issue Date: 2022
    Publisher: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Open Access. Volume 13517 LNCS, Pages 231 - 240. 2022 24th International Conference on Human-Computer Interaction, HCII 2022. Virtual, Online. 26 June 2022 through 1 July 2022
    Abstract: Higher Education Institutions (HEIs) have been feeling great pressure to advance in digital transformation. This pressure has been intensified with the outbreak of the COVID-19 pandemic at the end of 2019. Because the digital transformation of HEIs has been attracting a growing number of publications, the present study sought to carry out a bibliometric analysis of such titles. For this purpose, 643 relevant documents were identified from the Scopus database in January 2022. The descriptive results show an accelerated growth of the relevant literature, with conference papers being the main form of publication, followed by articles, conference reviews, and book chapters. The areas with which the majority of documents were associated were computer science, followed by social science, engineering, and business and management. An analysis of the co-occurrence of terms based on the titles and abstracts enabled the identification of three thematic areas of interest: 1) digital transformation in teaching, particularly under the pressure exerted by COVID-19; 2) environmental influences on the digital transformation of HEIs; and 3) enabling technologies for digital transformation. A longitudinal analysis also based on titles and abstracts allows us to see how the primary focus shifted from the economic issue (in 2019) to the COVID issue (in 2021). This study concludes by discussing the theoretical and practical implications of the findings, demonstrating as a particularly interesting area for future research the study of the digital transformation of HEIs in a future post-COVID scenario.
    URI: https://link.springer.com/chapter/10.1007/978-3-031-22131-6_17
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