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Bibliometric Computational Mapping Analysis of Publications on Digital Transformation in Business Using VOSviewer
Abstract
This study uses a bibliometric approach to computational mapping analysis with VOSviewer to look at the evolution of digital transformation research. The Google Scholar database was queried for the article data. The search is directed by using the keyword "Digital Transformation" in the article's title and abstract. There were 993 items that were deemed to be pertinent. The research period considered for the study is the most recent ten years of Google Scholar-indexed articles. The findings demonstrated that the terms "digital" and "digital transformation" can be used to categorize research on digital transformation. With a total link strength of 997, the word "digital transformation" is linked to by 63 different sources. The link strength of the word "Digital Transformation" is 4107 and it has 220 links. There were 993 items that were deemed to be pertinent. The research period considered for the study is the most recent ten years of Google Scholar-indexed articles (2012 to 2022). The findings demonstrated that the terms "digital" and "digital transformation" can be used to categorize research on digital transformation. With a total link strength of 997, the word "digital transformation" is linked to by 63 different sources. The link strength of the word "Digital Transformation" is 4107 and it has 220 links. The research of the growth of digital transformation publications machines over the past ten years reveals an annual increase. The results of this study will serve as a reference for further researchers in studying the topic of digital transformation.
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DOI: https://doi.org/10.17509/mimbardik.v9i1.68228
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