Mapping research trends on disruptive technologies in public administration: A bibliometric approach

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

    Abstract

    Abstract—The recent trends and challenges emphasize the
    need to exploit the potential of disruptive technologies in
    public administration. Accordingly, the main aim of the
    paper is to examine this issue over the last two decades. The
    results of bibliometric analysis on 3595 documents from
    Scopus reveal the growth of disruptive technologies research
    in public administration over time, especially in the last
    decade, as accelerated by several of the most relevant
    documents published in reputable journals such as
    Government Information Quarterly, Sustainable Cities and
    Society and Sustainability by several prominent authors.
    Most research has been conducted in the United States,
    followed by the United Kingdom and China and focused
    especially on artificial intelligence, followed by the internet
    of things, social media and blockchain, with the smart city
    being an important concept in disruptive technologies
    research in public administration. Finally, the results
    suggest that different public administration areas have
    different implications for disruptive technologies. The
    findings may be of benefit to not only the scientific
    community to serve as an important source for detecting
    associated research gaps but also to evidence-based
    policymaking to fully address the issues related to disruptive
    technologies in public administration in the future.
    Original languageEnglish
    Title of host publicationProceedings of the 12th International Conference on Information Society and Technology.
    Publication dateMay 2022
    ISBN (Electronic)978-86-85525-24-7
    Publication statusPublished - May 2022

    Keywords

    • Disruptive technologies
    • Public administration
    • Bibliometric analysis
    • Artificial intelligence
    • Smart cities

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