10. Concluding Remarks
This paper reports results from a bibliometric analysis on published academic papers associated with “Big data” and “Business Intelligence”. Using CiteSpace, VOSViewer and descriptive statistics, we analyzed publication data from 1990 to 2017 in journals indexed in Science Citation Index, Social Science Citation Index and Arts & Humanities Citation Index. A total of 10,637 publications with “Big Data” as key words and 1,168 publications with “Business Intelligence” as key words were identified and analyzed. The time trend, their disciplinary distribution, high-frequency keywords and topic evolutions of these academic outputs have been reported.
A few major findings have been found. First, although “Business Intelligence” emerged long before “Big Data” and has grown steadily, its growth rate is below that of BD publications, which has increased explosively after 2013. This reflects the huge interests in BD research in recent 5 years.
Second, BD and BI papers appeared in different journals. BD papers were published in Computer Science oriented technical journals, while BI papers mainly appeared in management and information systems journals. Coverage of research topics related to BD are broader and more interdisciplinary than those of BI papers.