In their search for value creation, companies are investing considerable resources in so-called “Big Data” initiatives. One peculiar aspect of these initiatives is the increasing availability of real-time streams of digital data. Successfully leveraging these streams to extract value is emerging as a critical competence for the modern firm. Despite the significant attention devoted to “Big Data,” scholarly research on real-time Digital Data Stream (DDS) remains insufficient. More importantly, we have no specialized definitions and measurement instruments that can move the field forward by initiating a cumulative research tradition. In this paper, we provide clarification on key definitions, differentiating DDS from the broader “Big Data” concept. Drawing on the organizational readiness concept, we then develop the DDS readiness index as a measure of organizational readiness to exploit real-time digital data. In this article we conceptualize, define, operationalize and validate the index. We identify the four dimensions of mindset, skillset, dataset and toolset as the elements of the DDS readiness index and we discuss its managerial and research implications.

中文翻译：

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数字数据流就绪指数的概念化，操作性和验证

为了寻求价值创造，公司正在将大量资源投入到所谓的“大数据”计划中。这些举措的一个特殊方面是数字数据实时流的可用性越来越高。成功利用这些资源来获取价值正在成为现代公司的一项关键能力。尽管人们对“大数据”投入了大量关注，但有关实时数字数据流（DDS）的学术研究仍然不足。更重要的是，我们没有专门的定义和测量工具可以通过启动累积的研究传统来推动该领域的发展。在本文中，我们对主要定义进行了说明，将DDS与更广泛的“大数据”概念区分开来。利用组织准备概念，然后，我们开发DDS准备就绪指数，作为组织准备就绪以利用实时数字数据的度量。在本文中，我们将对索引进行概念化，定义，操作和验证。我们将思维定势，技能集，数据集和工具集的四个维度确定为DDS准备就绪指数的要素，并讨论其管理和研究意义。