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Examining the state of empirical business intelligence and analytics research: A poly-theoretic approach
Information & Management ( IF 9.9 ) Pub Date : 2022-06-20 , DOI: 10.1016/j.im.2022.103677
Francis Kofi Andoh-Baidoo , Juan A. Chavarria , Mary C. Jones , Ying Wang , Samer Takieddine

Interest in Business Intelligence and Analytics (BI&A) has led to a growing body of impactful scholarly articles. We investigate the state of BI&A research by answering what is the state of BI&A research in terms of constructs studied, article's macrostructure, and theoretical contributions, and how do the constructs studied, macrostructure, and theoretical contributions, influence an article's impact? We propose a poly-theoretic framework that classifies articles from top IS journals and conferences by studied construct, macrostructure, contribution, distribution, and impact. Findings provide an understanding of how articles’ components influence the impact of BI&A research. Implications and future research areas are discussed.



中文翻译:

检查经验商业智能和分析研究的状态:一种多理论方法

对商业智能和分析 (BI&A) 的兴趣导致了越来越多有影响力的学术文章。我们通过回答 BI&A 研究在所研究的结构、文章的宏观结构和理论贡献方面的状态来调查 BI&A 研究的状态,以及所研究的结构、宏观结构和理论贡献如何影响文章的影响?我们提出了一个多理论框架,该框架通过研究结构、宏观结构、贡献、分布和影响对来自顶级 IS 期刊和会议的文章进行分类。调查结果提供了对文章的组成部分如何影响 BI&A 研究的影响的理解。讨论了影响和未来的研究领域。

更新日期:2022-06-20
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