Although big data analytics have been claimed to revolutionize the way firms operate and do business, there is a striking lack of knowledge about how organizations should adopt and routinize such technologies to support their strategic objectives. The aim of this research is to explore how different inertial forces during deployments of big data analytics hinder the emergence of dynamic capabilities. To do so, we follow a multiple-case study design approach of 27 European firms and examine the different forms of inertia that materialize during big data analytics diffusion. The findings contribute to the growing body of knowledge on how big data analytics can be leveraged effectively to enable and strengthen a firm’s dynamic capabilities. By disaggregating dynamic capabilities into the underlying capabilities of sensing, seizing and transforming, findings indicate that different combinations of organizational inertia including economic, political, socio-cognitive, negative psychology, and socio-technical hamper the formation of each type of capability.

尽管大数据分析已被认为可以革新公司的经营方式和经商方式，但对于组织应如何采用和常规化此类技术以支持其战略目标的知识仍然非常缺乏。这项研究的目的是探索在部署大数据分析过程中不同的惯性力如何阻碍动态功能的出现。为此，我们采用了27家欧洲公司的多案例研究设计方法，并研究了在大数据分析传播过程中形成的不同形式的惯性。这些发现有助于人们逐渐了解如何有效利用大数据分析来启用和增强公司的动态能力。通过将动态功能分解为感知，捕获和转换的基础功能，