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Quantitative Big Data Analytics for Scientific and Bibliometric Mapping with Industry 4.0 Technologies

Abstract:

This study uses the current importance of searching for research lines in scientific databases as a reference, which is critical for improving the scientific management of researchers through academic bodies. As a result, the research presented here is based on an analysis of scientific mapping on the level of business digital maturity and aims to identify the status of scientific articles indexed in the SCOPUS database. The SCOPUS database search strategy was developed based on the business digital maturity level, as well as the number of indexed articles, authors, thematic areas, types of documents, scientific areas, and keywords. The methodology used is descriptive-analytical, based on a deductive-inductive method in which specific parameters were excluded from the total results obtained and, in this way, working with documents that contribute significantly to the investigation was used for the years 2018 to 2022; two types of bibliometrics, co-presence and co-authorship, were used via the VoSViewer software and the Lens.org platform; and the search keywords were business, digital maturity, and industry 4.0. As a result, the clusters formed by co-authorships and keywords are displayed, as well as the types of documents and countries that have contributed the most to the scientific mapping investigation are also displayed. Finally, this type of research allows for the development of a technology-mediated systematic review that shows the increase in publications over the course of the study.