Research landscape of business intelligence and big data analytics: A bibliometrics study

TP Liang, YH Liu - Expert Systems with Applications, 2018 - Elsevier
Expert Systems with Applications, 2018Elsevier
Business Intelligence that applies data analytics to generate key information to support
business decision making, has been an important area for more than two decades. In the
last five years, the trend of “Big Data” has emerged and become a core element of Business
Intelligence research. In this article, we review academic literature associated with “Big
Data” and “Business Intelligence” to explore the development and research trends. We use
bibliometric methods to analyze publications from 1990 to 2017 in journals indexed in …
Abstract
Business Intelligence that applies data analytics to generate key information to support business decision making, has been an important area for more than two decades. In the last five years, the trend of “Big Data” has emerged and become a core element of Business Intelligence research. In this article, we review academic literature associated with “Big Data” and “Business Intelligence” to explore the development and research trends. We use bibliometric methods to analyze publications from 1990 to 2017 in journals indexed in Science Citation Index Expanded (SCIE), Social Science Citation Index (SSCI) and Arts & Humanities Citation Index (AHCI). We map the time trend, disciplinary distribution, high-frequency keywords to show emerging topics. The findings indicate that Computer Science and management information systems are two core disciplines that drive research associated with Big Data and Business Intelligence. “Data mining”, “social media” and “information system” are high frequency keywords, but “cloud computing”, “data warehouse” and “knowledge management” are more emphasized after 2016.
Elsevier
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