4.7 Article

Firm-level capabilities towards big data value creation

期刊

JOURNAL OF BUSINESS RESEARCH
卷 131, 期 -, 页码 539-548

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jbusres.2020.07.036

关键词

Big data; Supply chain management; Operations management; Value creation; Business analytics; Capabilities

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资金

  1. Innovation Fund Denmark

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The study identified firm-level capabilities required to create value from big data, confirming the application of adjacent theories and uncovering unexplored capabilities in the realm of big data. This provides a holistic overview of the capabilities needed for big data value creation.
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.

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