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https://doi.org/10.31803/tg-20181011124610

Big data for product innovation in manufacturing: evidence from a large-scale survey

Jasna Prester   ORCID icon orcid.org/0000-0003-3027-841X ; University of Zagreb, Faculty of Business & Economics, Trg J. F. Kennedy 6, 10000 Zagreb, Croatia
Mihaela Jurić ; University of Rijeka, Faculty of Economics and Business / Infodom d.o.o. Ul. Andrije Žaje 61, 10000 Zagreb, Croatia

Puni tekst: engleski, pdf (1 MB) str. 36-42 preuzimanja: 355* citiraj
APA 6th Edition
Prester, J. i Jurić, M. (2019). Big data for product innovation in manufacturing: evidence from a large-scale survey. Tehnički glasnik, 13 (1), 36-42. https://doi.org/10.31803/tg-20181011124610
MLA 8th Edition
Prester, Jasna i Mihaela Jurić. "Big data for product innovation in manufacturing: evidence from a large-scale survey." Tehnički glasnik, vol. 13, br. 1, 2019, str. 36-42. https://doi.org/10.31803/tg-20181011124610. Citirano 16.05.2021.
Chicago 17th Edition
Prester, Jasna i Mihaela Jurić. "Big data for product innovation in manufacturing: evidence from a large-scale survey." Tehnički glasnik 13, br. 1 (2019): 36-42. https://doi.org/10.31803/tg-20181011124610
Harvard
Prester, J., i Jurić, M. (2019). 'Big data for product innovation in manufacturing: evidence from a large-scale survey', Tehnički glasnik, 13(1), str. 36-42. https://doi.org/10.31803/tg-20181011124610
Vancouver
Prester J, Jurić M. Big data for product innovation in manufacturing: evidence from a large-scale survey. Tehnički glasnik [Internet]. 2019 [pristupljeno 16.05.2021.];13(1):36-42. https://doi.org/10.31803/tg-20181011124610
IEEE
J. Prester i M. Jurić, "Big data for product innovation in manufacturing: evidence from a large-scale survey", Tehnički glasnik, vol.13, br. 1, str. 36-42, 2019. [Online]. https://doi.org/10.31803/tg-20181011124610

Sažetak
The article analyses big data usage in the Croatian manufacturing sector. Big data usage is still low but present. We analysed the influence of six sources of big data and their influence on share of returns generated by new products using two step OLS regression analysis. The results are robust but they show that some sources have positive and some have negative effects on share of returns generated by new products. Based on the most recent research of scholarly papers we define big data and show a clear research gap by 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 predominantly to reduce cost or support the product. Therefore, we contribute by closing this research gap of linking big data and innovation.

Ključne riječi
Big data; Croatia; EMS Survey; Manufacturing; Product innovation

Hrčak ID: 218161

URI
https://hrcak.srce.hr/218161

Posjeta: 679 *