2019
DOI: 10.31803/tg-20181011124610
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Big data for product innovation in manufacturing

Abstract: 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 rese… Show more

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Cited by 1 publication
(1 citation statement)
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“…In the era of knowledge economy, innovation agents can effectively improve their innovation ability through knowledge sharing in the process of innovation (Prester and Jurić 2019). However, the process of knowledge sharing is affected by many factors such as knowledge-sharing agent, knowledge-sharing environment and knowledge-sharing medium (Ghobadi 2015;Weller 2017;Safari et al 2018), which makes knowledge sharing become one of the problems faced by knowledge management of innovative organizations (Liu et al 2020).…”
Section: Introductionmentioning
confidence: 99%
“…In the era of knowledge economy, innovation agents can effectively improve their innovation ability through knowledge sharing in the process of innovation (Prester and Jurić 2019). However, the process of knowledge sharing is affected by many factors such as knowledge-sharing agent, knowledge-sharing environment and knowledge-sharing medium (Ghobadi 2015;Weller 2017;Safari et al 2018), which makes knowledge sharing become one of the problems faced by knowledge management of innovative organizations (Liu et al 2020).…”
Section: Introductionmentioning
confidence: 99%