大数据
竞争优势
分析
数据科学
动态能力
业务
度量(数据仓库)
资源(消歧)
工作(物理)
计算机科学
基于资源的视图
数据分析
产业组织
知识管理
工程类
营销
数据库
数据挖掘
机械工程
计算机网络
作者
Manjul Gupta,Joey F. George
标识
DOI:10.1016/j.im.2016.07.004
摘要
Various organizational-level resources that in combination build a big data analytics capability are proposed.A survey instrument to measure a big data analytics capability of the firm is proposed.The relationship between big data analytics capability and firm performance is empirically validated. The era of big data has begun such that organizations in all industries have been heavily investing in big data initiatives. We know from prior studies that investments alone do not generate competitive advantage; instead, firms need to create capabilities that rival firms find hard to match. Drawing on the resource-based theory of the firm and recent work in big data, this study (1) identifies various resources that in combination build a big data analytics (BDA) capability, (2) creates an instrument to measure BDA capability of the firm, and (3) tests the relationship between BDA capability and firm performance. Results empirically validate the proposed theoretical framework of this study and provide evidence that BDA capability leads to superior firm performance.
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