A literature review on big data analytics capabilities

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Conference Proceeding
PICMET 2019 - Portland International Conference on Management of Engineering and Technology: Technology Management in the World of Intelligent Systems, Proceedings, 2019
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19R0054_BigData_revision.docxAccepted Manuscript version234.11 kB
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© 2019 PICMET. Many researchers and practitioners are interested in big data due to its transformational potential for achieving competitive advantage. Recent studies indicate that business achieves competitive advantage not only by investments on technology infrastructure but also by creating technological and organizational capabilities. In the light of the Resource-based View theory, this paper aims to find out 'what capabilities have been required to build big data analytics?' by conducting an in-depth literature review. We adopted a systematic literature review approach and studied academic articles published between 2010 and 2018. We used Scopus and Web of Science (WoS) databases to find published studies related to big data analytics capabilities, twenty-five (25) of which met the selection criteria. Results showed capabilities of big data analytics fall into two major categories: human and infrastructure capability.
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