IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i7p5769-d1107777.html
   My bibliography  Save this article

A Bibliometric Analysis of Digital Literacy Research from 1990 to 2022 and Research on Emerging Themes during the COVID-19 Pandemic

Author

Listed:
  • Chen Wang

    (School of Information Management, Wuhan University, Wuhan 430072, China)

  • Li Si

    (School of Information Management, Wuhan University, Wuhan 430072, China)

Abstract

Due to the rapid advancement of digital technology and its contribution to sustainable development, digital literacy has become an increasingly significant research topic. However, the uneven distribution of new technologies has caused emerging inequalities, which have been exacerbated by the COVID-19 pandemic, one of the most significant public health crises of the century. This paper aims to conduct an in-depth analysis of scientific production using bibliometric methods to comprehend the current research status of digital literacy studies and evaluate the pandemic’s impact on such research. In total, 7523 documents published between 1990 and 2022 were identified and analyzed using bibliometric research methods in the Web of Science database. These methods included growth trend analysis, network analysis, highly cited literature analysis, factor analysis, and time-series-based analysis of frequently discussed topics. Additionally, a word cloud analysis of the keywords in digital literacy literature from 2020 to 2022, during the COVID-19 pandemic, was created. The study’s outcomes explore digital literacy research, including current trends, significant publications, and institutions involved in the field. This study emphasizes the importance of digital literacy in today’s society, particularly during the COVID-19 pandemic. It also highlights the potential of bibliometric analysis as a tool for identifying research gaps.

Suggested Citation

  • Chen Wang & Li Si, 2023. "A Bibliometric Analysis of Digital Literacy Research from 1990 to 2022 and Research on Emerging Themes during the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(7), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:5769-:d:1107777
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/7/5769/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/7/5769/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    3. Shazia Rashid & Sunishtha Singh Yadav, 2020. "Impact of Covid-19 Pandemic on Higher Education and Research," Indian Journal of Human Development, , vol. 14(2), pages 340-343, August.
    4. Dorin Vicentiu Popescu & Adriana Dima & Elena Radu & Ecaterina Milica Dobrota & Victor Marian Dumitrache, 2022. "Bibliometric Analysis of the Green Deal Policies in the Food Chain," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 24(60), pages 410-410, April.
    5. Pritika Reddy & Bibhya Sharma & Kaylash Chaudhary, 2020. "Digital Literacy: A Review of Literature," International Journal of Technoethics (IJT), IGI Global, vol. 11(2), pages 65-94, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Mengyun Xiao & Fadzilah Amzah & Noor Azlina Mohamed Khalid & Weihan Rong, 2023. "Global Trends in Preschool Literacy (PL) Based on Bibliometric Analysis: Progress and Prospects," Sustainability, MDPI, vol. 15(11), pages 1-26, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carlo Dindorf & Eva Bartaguiz & Freya Gassmann & Michael Fröhlich, 2022. "Conceptual Structure and Current Trends in Artificial Intelligence, Machine Learning, and Deep Learning Research in Sports: A Bibliometric Review," IJERPH, MDPI, vol. 20(1), pages 1-23, December.
    2. Hasan Ejaz & Hafiz Muhammad Zeeshan & Fahad Ahmad & Syed Nasir Abbas Bukhari & Naeem Anwar & Awadh Alanazi & Ashina Sadiq & Kashaf Junaid & Muhammad Atif & Khalid Omer Abdalla Abosalif & Abid Iqbal & , 2022. "Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer," IJERPH, MDPI, vol. 19(19), pages 1-25, September.
    3. Shuangqing Sheng & Wei Song & Hua Lian & Lei Ning, 2022. "Review of Urban Land Management Based on Bibliometrics," Land, MDPI, vol. 11(11), pages 1-25, November.
    4. Gour Gobinda Goswami & Tahmid Labib, 2022. "Modeling COVID-19 Transmission Dynamics: A Bibliometric Review," IJERPH, MDPI, vol. 19(21), pages 1-19, October.
    5. Das, Kallol & Patel, Jayesh D. & Sharma, Anuj & Shukla, Yupal, 2023. "Creativity in marketing: Examining the intellectual structure using scientometric analysis and topic modeling," Journal of Business Research, Elsevier, vol. 154(C).
    6. Ying Liang & Wei Song, 2022. "Ecological and Environmental Effects of Land Use and Cover Changes on the Qinghai-Tibetan Plateau: A Bibliometric Review," Land, MDPI, vol. 11(12), pages 1-23, November.
    7. Lanzalonga Federico & Chmet Federico & Petrolo Basilio & Brescia Valerio, 2023. "Exploring Diversity Management to Avoid Social Washing and Pinkwashing: Using Bibliometric Analysis to Shape Future Research Directions," Journal of Intercultural Management, Sciendo, vol. 15(1), pages 41-65, March.
    8. Hutchinson, Mark C. & Lucey, Brian, 2024. "A bibliometric and systemic literature review of biodiversity finance," Finance Research Letters, Elsevier, vol. 64(C).
    9. Ballouk, Hossein & Ben Jabeur, Sami & Challita, Sandra & Chen, Chaomei, 2024. "Financial stability: A scientometric analysis and research agenda," Research in International Business and Finance, Elsevier, vol. 70(PA).
    10. Dennis Opoku Boadu & Justice Kwame Appati & Joseph Agyapong Mensah, 2024. "Exploring the Effectiveness of Graph-based Computational Models in COVID-19 Research," SN Operations Research Forum, Springer, vol. 5(3), pages 1-41, September.
    11. Jin Su & Mo Wang & Mohd Adib Mohammad Razi & Norlida Mohd Dom & Noralfishah Sulaiman & Lai-Wai Tan, 2023. "A Bibliometric Review of Nature-Based Solutions on Urban Stormwater Management," Sustainability, MDPI, vol. 15(9), pages 1-23, April.
    12. Manta Eduard Mihai & Davidescu Adriana Ana Maria & Geambasu Maria Cristina & Florescu Margareta Stela, 2023. "Exploring the research area of direct taxation. An empirical analysis based on bibliometric analysis results," Management & Marketing, Sciendo, vol. 18(s1), pages 355-383, December.
    13. Khan, Ashraf & Goodell, John W. & Hassan, M. Kabir & Paltrinieri, Andrea, 2022. "A bibliometric review of finance bibliometric papers," Finance Research Letters, Elsevier, vol. 47(PA).
    14. Ajjima Jiravichai & Ruth Banomyong, 2022. "A Proposed Methodology for Literature Review on Operational Risk Management in Banks," Risks, MDPI, vol. 10(5), pages 1-18, May.
    15. Deepa Sharma & Suman Chakraborty & Ashwath Ananda Rao & Lumen Shawn Lobo, 2023. "The Relationship of Corporate Social Responsibility and Firm Performance: A Bibliometric Overview," SAGE Open, , vol. 13(1), pages 21582440231, March.
    16. Riaz Tabassum & Selama Aslam Izah & Nor Normaziah Mohd & Hassan Ahmad Fahmi Sheikh, 2024. "Meaningful Review of Existing Trends, Expansion, and Future Directions of Green Bond Research: A Bibliometric Approach," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 34(1), pages 1-36, March.
    17. Albiona Pestisha & Zoltán Gabnai & Aidana Chalgynbayeva & Péter Lengyel & Attila Bai, 2023. "On-Farm Renewable Energy Systems: A Systematic Review," Energies, MDPI, vol. 16(2), pages 1-25, January.
    18. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    19. Abidin Kemeç & Ayşenur Tarakcıoglu Altınay, 2023. "Sustainable Energy Research Trend: A Bibliometric Analysis Using VOSviewer, RStudio Bibliometrix, and CiteSpace Software Tools," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    20. Dušan Nikolić & Dragan Ivanović & Lidija Ivanović, 2024. "An open-source tool for merging data from multiple citation databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4573-4595, July.

    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:gam:jsusta:v:15:y:2023:i:7:p:5769-:d:1107777. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.