Research Landscape of Business Intelligence and Big Data analytics: A bibliometrics study
Research Landscape of Business Intelligence and Big Data analytics: A bibliometrics study
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DOI：
10.1016/j.eswa.2018.05.018
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发表时间：
2018-11-30
影响因子：
8.5
通讯作者：
Liu, Yu-Hsi
中科院分区：
文献类型：
--
作者：
Liang, Ting-Peng;Liu, Yu-Hsi
二十多年来，商业智能一直是一个重要的领域，它应用数据分析来生成关键信息以支持业务决策。在过去的五年里，“大数据”的趋势已经出现，并成为商业智能研究的核心要素。在本文中，我们回顾了与“大数据”和“商业智能”相关的学术文献，以探讨其发展和研究趋势。我们使用文献计量学方法分析了1990年至2017年在科学引文索引扩展（SCIE）、社会科学引文索引（SSCI）和艺术与人文引文索引（AHCI）中收录的期刊上发表的论文。我们绘制时间趋势图、学科分布图、高频关键词图来展示新兴话题。研究结果表明，计算机科学和管理信息系统是推动与大数据和商业智能相关研究的两个核心学科。“数据挖掘”、“社交媒体”和“信息系统”是高频关键词，但“云计算”、“数据仓库”和“知识管理”在2016年之后更加被强调。(C) 2018年Elsevier Ltd.出版
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. (C) 2018 Published by Elsevier Ltd.