Yildiz, B.Çiğdem, Ş.Meidutė-Kavaliauskienė, I.Činčikaitė, R.2024-02-172024-02-17202416111699https://hdl.handle.net/20.500.12597/19045In today’s highly competitive business environments, manufacturers face stiff com-petition. As digital technologies have become more pervasive, many businesses in the manufacturing sector have begun to tap into the potential of big data analytics to gain an edge in their markets. Companies in the manufacturing sector can gain a significant competitive advantage by strategically utilizing big data analytics to uncover profound insights that have the potential to significantly enhance their capabilities in product innovation. This research delves into communication’s role as a go-between for big data analytics and product innovations’ success at manufacturing firms. The validity and reliability of the meas-urement scales were first thoroughly examined in this study. The research model was then tested using structural equation modeling and process macro analysis. The analytical findings unveil those big data analytics exert a pronounced, positive, and statis-tically significant impact on product innovation performance and information-sharing dynam-ics. Furthermore, it is discerned that information-sharing exerts a substantial and affirmative influence on the capacity for product innovation. Additionally, it is established that the impact of big data analytics on product innovation performance undergoes moderation by the infor-mation-sharing mechanism.eninfo:eu-repo/semantics/openAccessAnalytics-driven innovation, big data analytics, data analytics in manufacturing, information sharing, innovation performance, product innovationarticle10.3846/jbem.2024.207132-s2.0-851844086546684251