Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/171456
Authors: 
Niebel, Thomas
Rasel, Fabienne
Viete, Steffen
Year of Publication: 
2017
Series/Report no.: 
ZEW Discussion Papers 17-053
Abstract: 
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. Subsequent analyses suggest that firms in the manufacturing and service sector rely on different data sources and data-related firm practices in order to reap the benefits of big data. Overall, the results support the view that big data analytics have the potential to enable innovation.
Subjects: 
big data
data-driven decision-making
product innovation
firm-level data
JEL: 
D22
L20
O33
Document Type: 
Working Paper

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