Purpose – This research unpacks the micro-mechanisms that exist between an organisation’s ability to conduct Big Data Analytics (BDA) and its achievement of strategic flexibility. Knowledge management capabilities and organisational ambidexterity have long been considered factors influencing the aforementioned relationship. In order to assess this, the authors build on dynamic capabilities as the main theoretical lens through which to examine. Design/methodology/approach – Structural Equation Modelling (SEM) is the main methodological approach used in this research. A structural model was developed and tested based on 215 survey responses collected from managers of organisations in continental Europe. Findings – The results indicate that BDA capabilities are a significant antecedent of an organisation’s strategic flexibility. This relationship, however, is influenced by knowledge management capabilities and ambidexterity. Practical implications – Managers wishing to properly exploit the potential of big data should invest in the elaboration of knowledge management processes across their organisation. This strategy can foster strategic flexibility. Originality/value – Previous research has explored the theoretical links between big data, knowledge management, and strategic flexibility. However, little attention has been paid to the quantitative investigation of the phenomenon.

中文翻译：

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在大数据时代实现战略灵活性

目的–这项研究揭示了组织进行大数据分析（BDA）的能力与实现战略灵活性之间存在的微观机制。长期以来，知识管理能力和组织的灵活性一直被认为是影响上述关系的因素。为了对此进行评估，作者将动态能力作为检验的主要理论镜头。设计/方法/方法-结构方程模型（SEM）是本研究中使用的主要方法。根据从欧洲大陆组织的经理收集的215份调查答复，开发并测试了结构模型。调查结果–结果表明BDA功能是组织战略灵活性的重要前提。这种关系 但是，受知识管理能力和灵活性的影响。实际意义–希望适当利用大数据潜力的管理人员应在整个组织的知识管理流程的制定上进行投资。该战略可以增强战略灵活性。创意/价值–先前的研究探索了大数据，知识管理和战略灵活性之间的理论联系。但是，很少有人对该现象进行定量研究。创意/价值–先前的研究探索了大数据，知识管理和战略灵活性之间的理论联系。但是，很少有人对该现象进行定量研究。原创性/价值–先前的研究探索了大数据，知识管理和战略灵活性之间的理论联系。但是，很少有人对该现象进行定量研究。