BIG data - BIG gains? Understanding the link between big data analytics and innovation

被引:86
|
作者
Niebel, Thomas [1 ]
Rasel, Fabienne [1 ]
Viete, Steffen [1 ]
机构
[1] Ctr European Econ Res ZEW, Digital Econ Res Dept, POB 103443, D-68304 Mannheim, Germany
关键词
Big data; data-driven decision-making; product innovation; firm-level data; RESEARCH-AND-DEVELOPMENT; ABSORPTIVE-CAPACITY; FIRM-LEVEL; PRODUCTIVITY; PERFORMANCE; IMPACT; ICT; ORGANIZATION; TECHNOLOGY; MODELS;
D O I
10.1080/10438599.2018.1493075
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper analyzes the relationship between firms' use of big data analytics and their innovative performance in terms of product innovations. Since big data technologies provide new data information practices, they create novel decision-making possibilities, which are widely believed to support firms' innovation process. Applying German firm-level data within a knowledge production function framework we find suggestive evidence that big data analytics is a relevant determinant for the likelihood of a firm becoming a product innovator as well as for the market success of product innovations. These results hold for the manufacturing as well as for the service sector but are contingent on firms' investment in IT-specific skills. Overall, the results support the view that big data analytics have the potential to enable innovation.
引用
收藏
页码:296 / 316
页数:21
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