ABSTRACT
In this study, big data studies (01/2015–6/2018) are reviewed and several highly cited papers are identified, which indicates a growing interest in the area of big data. The papers and proceedings from international peer-reviewed journals and ranked conferences were reviewed. We employed Principal component analysis and citation and co-citation analysis to identify themes of research emanating from these studies. Citation and co-citation analysis reveals that there is cross-functional nature of big data research, which permeates different business sectors and is influenced by themes in engineering and information management.
Acknowledgments
The author is grateful to the Editor-in-Chief and anonymous referees whose valuable comments and suggestions substantially helped improve this article.
Disclosure statement
No potential conflict of interest was reported by the author.