Does data analytics use improve firm decision making quality? The role of knowledge sharing and data analytics competency

被引:114
作者
Ghasemaghaei, Maryam [1 ]
机构
[1] McMaster Univ, DeGroote Sch Business, Hamilton, ON, Canada
关键词
Data analytics use; Knowledge sharing; Decision making quality; Data analytics competency; BIG DATA ANALYTICS; INFORMATION-SYSTEMS RESEARCH; COMMON METHOD VARIANCE; RESOURCE-BASED VIEW; BUSINESS INTELLIGENCE; ORGANIZATIONAL CAPABILITY; INNOVATION CAPABILITY; BEHAVIORAL INTENTION; MANAGEMENT-SYSTEMS; PERFORMANCE;
D O I
10.1016/j.dss.2019.03.004
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Despite the huge investment in data analytics tools, the necessary conditions required to obtain benefit from such investment deserves close investigation. In this study we utilize the knowledge-based view and data analytics competency literature to address two important research questions: (1) Does knowledge sharing have a mediating role on the impact of data analytics usage on the quality of firm decisions?; and (2) What is the role of data analytics competency in enhancing the quality of firm decisions through increasing knowledge sharing? Survey data collected from top and middle-level managers from 133 U.S.-based firms indicates that: the impact of data analytics use on the quality of firm decisions is fully mediated by knowledge sharing; the impact of knowledge sharing on firm decision quality is not significant and it is moderated by data analytics competency; and data analytics competency does not moderate the impact of data analytics use on knowledge sharing. Collectively, the findings provide a theory-based understanding of how data analytics use improves firm decision quality. The results also provide actionable guidelines for firms regarding the critical resources they need to invest in order to obtain benefits from using data analytics tools.
引用
收藏
页码:14 / 24
页数:11
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