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THE NEXUS OF BIG DATA ANALYTICS, KNOWLEDGE SHARING, AND PRODUCT INNOVATION IN MANUFACTURING      
Yazarlar
Doç. Dr. Bülent YILDIZ Doç. Dr. Bülent YILDIZ
Kastamonu Üniversitesi, Türkiye
Şemsettin Çiğdem
Gaziantep Üniversitesi, Türkiye
Ieva Meidute-Kavaliauskiene
Renata Cincikaite
Özet
In 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.
Anahtar Kelimeler
analytics-driven innovation | big data analytics | data analytics in manufacturing | information sharing | innovation performance | product innovation
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı JOURNAL OF BUSINESS ECONOMICS AND MANAGEMENT
Dergi ISSN 1611-1699
Dergi Tarandığı Indeksler SSCI
Dergi Grubu Q2
Makale Dili İngilizce
Basım Tarihi 01-2024
Cilt No 25
Sayı 1
Sayfalar 66 / 84
Doi Numarası 10.3846/jbem.2024.20713
Makale Linki https://journals.vilniustech.lt/index.php/JBEM/issue/view/1317