Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/327545 
Year of Publication: 
2025
Citation: 
[Journal:] Journal of Innovation & Knowledge (JIK) [ISSN:] 2444-569X [Volume:] 10 [Issue:] 1 [Article No.:] 100643 [Year:] 2025 [Pages:] 1-16
Publisher: 
Elsevier, Amsterdam
Abstract: 
Big data are known to improve operational efficiency, competitiveness, and performance. Despite these unprecedented benefits, the understanding of how big data transform organizational processes remains limited. To address this gap, this research empirically investigates how big data analytics management capabilities (BDAMC) influence innovation performance. This study bases its assumptions on the dynamic capability and knowledge-based views. A PLS-SEM analysis of 199 firms reveals that establishing BDAMC is essential for fostering organizations' innovation performance. This study advances knowledge by demonstrating that BDAMC enhances organizations' strategic agility, which subsequently boosts innovation performance. Moreover, the empirical findings reveal that developing BDAMC is crucial for achieving strategic alignment, which in turn reinforces innovation performance. These unique findings hold significant practical value for managers and consultants seeking to leverage big data-related systems within organizations.
Subjects: 
Big data
Big data analytics management capabilities
Innovation performance
Strategic agility
Strategic alignment
JEL: 
O03
O31
O32
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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