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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.
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Niebel et al. (Tue,) studied this question.
synapsesocial.com/papers/69da7e6fae64bec32b836074 — DOI: https://doi.org/10.1080/10438599.2018.1493075
Thomas Niebel
Centre for European Economic Research
Fabienne Rasel
Centre for European Economic Research
Steffen Viete
Kreditanstalt für Wiederaufbau
Economics of Innovation and New Technology
Centre for European Economic Research
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