4.6 Article

Big data analytics-enabled sensing capability and organizational outcomes: assessing the mediating effects of business analytics culture

期刊

ANNALS OF OPERATIONS RESEARCH
卷 -, 期 -, 页码 -

出版社

SPRINGER
DOI: 10.1007/s10479-020-03812-4

关键词

Data analytics; Dynamic capabilities; Data-driven culture; Organizational outcomes; Sensing capabilities

向作者/读者索取更多资源

With the emergence of information and communication technologies, organizations worldwide have been putting in meaningful efforts towards developing and gaining business insights by combining technology capability, management capability and personnel capability to explore data potential, which is known as big data analytics (BDA) capability. In this context, variables such as sensing capability-which is related to the organization's ability to explore the market and develop opportunities-and analytics culture-which refers to the organization's practices and behavior patterns of its analytical principles-play a fundamental role in BDA initiatives. However, there is a considerable literature gap concerning the effects of BDA-enabled sensing capability and analytics culture on organizational outcomes (i.e., customer linking capability, financial performance, market performance, and strategic business value) and on how important the organization's analytics culture is as a mediator in the relationship between BDA-enabled sensing capability and organizational outcomes. Therefore, this study aims to investigate these relationships. And to attain this goal, we developed a conceptual model supported by dynamics capabilities, BDA, and analytics culture. We then validated our model by applying partial least squares structural equation modeling. The findings showed not only the positive effect of the BDA-enabled sensing capability and analytics culture on organizational outcomes but also the mediation effect of the analytics culture. Such results bring valuable theoretical implications and contributions to managers and practitioners.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据