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Firm-level capabilities towards big data value creation

机译：坚固级别的大数据价值创建功能

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摘要

Big data has played an increasingly important role in using data to improve business value. In response to several big data challenges, the purpose of this study is to identify firm-level capabilities required to create value from big data. The adjacent theories of business process management and IT business value underpinned the study, together with an in-depth case study that led to the identification of twenty-four types of capabilities related to IT, process, performance, human, strategic, and organizational practices. The findings confirmed the application of practices and capabilities of adjacent theories, as well as certain practices and attributes that were both changed and reinforced at the intersection of big data. As an outstanding additional support to the extant big data studies, this work empirically confirms and portrays hitherto unexplored capabilities of big data and set their roles, thus providing a holistic overview of firm-level capabilities that are required for big data value creation.
机译：大数据在使用数据以提高业务价值方面发挥了越来越重要的作用。为了响应几个大数据挑战，本研究的目的是识别从大数据创建价值所需的公司级别功能。业务流程管理和IT业务价值的邻近理论基于该研究，以及深入的案例研究，导致识别与IT，过程，绩效，人力，战略和组织实践相关的二十四种功能。这些调查结果证实了邻近理论的实践和能力的应用，以及在大数据交叉口改变和加强的某些实践和属性。作为对现时大数据研究的未偿还额外支持，这项工作明确证明并描绘了大数据的未开发的能力，并设置其角色，从而提供了大数据价值创建所需的坚固功能的整体概述。

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