engleski

BIG DATA FOR PRODUCT INNOVATION IN MANUFACTURING: EVIDENCE FROM A LARGE-SCALE SURVEY

The article analyses big data usage in Croatian manufacturing sector. Big data usage is still low but present. We analysed by two step OLS regression analysis the influence of six sources of big data and their influence on share of returns generated by new products. The results are robust but they show that some sources have positive and some others have negative effects on share of returns generated by new products. Based on most recent research of scholarly papers we define big data and show a clear research gap linking big data and innovation. That is, only six papers deal with big data and innovation. In five papers big data comes from social media data, and in the remaining one paper they use data from sensors but dominantly to reduce cost or support the product. Therefore, we contribute by closing this research gap of linking big data and innovation.

Big data, Product innovation, Manufacturing, EMS Survey, Croatia

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