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An application of the dynamic knowledge creation model in big data

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  • Philip, Jestine

Abstract

The recent surge in big data is unavoidable. In order to efficiently utilize voluminous data being constantly created, managers face the uphill task of having to convert this data into useful information. With increasing importance being given to actionable knowledge both from a practice as well as research perspective, a well-established framework of knowledge creation can help managers and researchers understand the conversion of big data into useful knowledge. With a focus of applying a knowledge-perspective to big data, I propose using elements of the knowledge creation model, namely Ba, the SECI process, and Knowledge Assets, to understand the conversion of big data into explicit and tacit employee knowledge. Additionally, an argument for enhancing a firm's dynamic capabilities using big data is also proposed.

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  • Philip, Jestine, 2018. "An application of the dynamic knowledge creation model in big data," Technology in Society, Elsevier, vol. 54(C), pages 120-127.
    • Handle: RePEc:eee:teinso:v:54:y:2018:i:c:p:120-127
    DOI: 10.1016/j.techsoc.2018.04.001
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