25+Years of the Business Intelligence and Analytics Minitrack at HICSS: A Text Mining Analysis

被引：0

作者：

Marjanovic, Olivera ^{[1
]}

Dinter, Barbara ^{[2
]}

机构：

[1] Univ Sydney, Sydney, NSW, Australia

[2] Tech Univ Chemnitz, Chemnitz, Germany

来源：

PROCEEDINGS OF THE 50TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES | 2017年

关键词：

BIG DATA; LEXIMANCER; TECHNOLOGIES; CHALLENGES;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This research project is inspired by the occasion of the 50th anniversary of the Hawaii International Conferences on Systems Sciences (HICSS). As the current co-chairs of the longest-running minitrack on Business Intelligence (BI), Business Analytics (BA) and Big Data (as it is currently known) at HICSS, we report on its 27-year history of relevant and interesting research. Our insights into the key research themes and their progress over time were obtained through a semantic text mining of all research publications included in this minitrack since 1990. We also illustrate a practical method of using a sophisticated text-mining tool ( Leximancer) so that it could be replicated by other researchers interested in content analysis methods in other research fields.

引用

页码：5338 / 5347

页数：10

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