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.

中文翻译：

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揭开创新之路：探索大数据分析管理能力、战略敏捷性和战略一致性的作用


众所周知，大数据可以提高运营效率、竞争力和绩效。尽管有这些前所未有的好处，但对大数据如何改变组织流程的理解仍然有限。为了解决这一差距，本研究实证调查了大数据分析管理能力 （BDAMC） 如何影响创新绩效。本研究的假设基于动态能力和基于知识的观点。PLS-SEM 对 199 家公司的分析表明，建立 BDAMC 对于培养组织的创新绩效至关重要。本研究通过证明 BDAMC 增强了组织的战略敏捷性，从而促进了创新绩效。此外，实证研究结果表明，发展 BDAMC 对于实现战略对齐至关重要，这反过来又会加强创新绩效。这些独特的发现对于寻求在组织内利用大数据相关系统的管理者和顾问来说具有重要的实用价值。