BIG DATA ANALYTICS AS A STRATEGIC CAPABILITY: A SYSTEMATIC REVIEW

被引:0
作者
Bogdan, Mihai [1 ]
Borza, Anca [1 ]
机构
[1] Babes Bolyai Univ, Cluj Napoca, Romania
来源
PROCEEDINGS OF THE 13TH INTERNATIONAL MANAGEMENT CONFERENCE: MANAGEMENT STRATEGIES FOR HIGH PERFORMANCE (IMC 2019) | 2019年
关键词
big data analytics; strategic management; systematic review; FIRM PERFORMANCE; BUSINESS INTELLIGENCE; SUPPLY CHAIN; PREDICTIVE ANALYTICS; IMPACT; AGILITY;
D O I
暂无
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Big data analytics gained the attention of both practitioners and researches. In terms of trends, it appears to be the next big thing, together with automation, machine learning and artificial intelligence. However, compared to the others, big data analytics, threatens to jeopardize the way managers themselves work. This is because they are the expected users of data in the decisional-making process. This means that, on one side, they have to be sponsors of the big data analytics change, and on the other side, they have to lead by example by entrusting their decisions on insights generated by data. The purpose of our study is to run a systematic review of the articles published on topic of big data analytics and organizational performance in the field of strategic management. As a methodology, we searched the articles indexed on ISI Web of Knowledge during period January 2005 - July 2019. Our first selection included 377 articles, which we further filtered based on our inclusion criteria: (1) field of strategic management; (2) empirical study; (3) based on a framework from management (4) relationship between big data analytics firm performance. The findings suggest that firms need to develop a big data analytics capability, which will have a positive impact upon financial performance, competitive advantage and operational performance which are the most used constructs within the analyzed articles.
引用
收藏
页码:575 / 583
页数:9
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