Abstract
Business intelligence has become mainstream in recent scientific research trends. The purpose of this research is to study the emerging and fading themes of the business intelligence domain through an analytical overview of keywords, titles and abstracts. Among scientometrics methods for representing the emergent and disappearing trends, the 'burst detection' algorithm has been chosen and applied to the current dataset of high-ranked international papers which can help scholars and practitioners to understand a better overview of business intelligence field by visualising the changes in a recent time period. For this purpose, the data related to business intelligence has been gathered from Web of Science (WoS) core collection dataset between the years 1980-2014 and the burst detection algorithm has been applied on the 'abstract', 'title' and 'keywords' of the dataset which has shown interesting informative results for the future researchers to concentrate on.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Bibliometrics in Business and Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
