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Content Analysis of Articles Included in the Bibliometric Analysis of Digital Transformation in Business

In: Science Mapping of Digital Transformation in Business

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  • Cristina Bota-Avram

    (Babes-Bolyai University)

Abstract

From the observation of the bibliometric results of keyword analysis obtained with the bibliometric tools employed and from the content analysis of the most relevant articles from each thematic cluster of high-frequency keywords, this chapter identifies four dominant macro-clusters in the research field under investigation. These clusters are (1) digital transformation processes, (2) digital technologies, (3) the digital economy, and (4) digital disruption. Thematic clusters connecting articles in each major cluster were identified, and from content analysis of the most prestigious articles included in each thematic cluster, subthemes were produced within their respective topics. Subsequently, the content analysis of these articles helped us identify several directions for future research.

Suggested Citation

  • Cristina Bota-Avram, 2023. "Content Analysis of Articles Included in the Bibliometric Analysis of Digital Transformation in Business," SpringerBriefs in Business, in: Science Mapping of Digital Transformation in Business, chapter 0, pages 41-68, Springer.
    • Handle: RePEc:spr:spbrcp:978-3-031-26765-9_5
    DOI: 10.1007/978-3-031-26765-9_5
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