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dc.contributor.authorSelf, Richard
dc.contributor.authorCrane, Lesley
dc.date.accessioned2016-11-14T10:06:39Z
dc.date.available2016-11-14T10:06:39Z
dc.date.issued2014-08-26
dc.identifier.citationSelf, R. and Crane, L. (2014) 'Big data analytics: a threat or an opportunity for Knowledge Management?' in Uden, L. et al (eds.) Knowledge Management in Organizations: Proceedings of the 9th International Conference, KMO 2014, Santiago, Chile, September 2-5, pp. 25-34en
dc.identifier.isbn978-3-319-08617-0
dc.identifier.isbn978-3-319-08618-7
dc.identifier.doi10.1007/978-3-319-08618-7_3
dc.identifier.urihttp://hdl.handle.net/10545/620820
dc.description.abstractBig Data Analytics is a rapidly developing field which already shows early promising successes. There are considerable synergies between this and Knowledge Management: both have the goal of improving decision-making, fostering innovation, fuelling competitive edge and economic success through the acquisition and application of knowledge. Both operate in a world of increasing deluges of information, with no end in sight. Big Data Analytics can be seen as a threat to the practice of knowledge management: it could relegate the latter to the mists of organizational history in the rush to adopt the latest techniques and technologies. Alternatively, it can be approached as an opportunity for knowledge management in that it wrestles with many of the same issues and dilemmas as knowledge management, The key, it is argued, lies in the application of the latter’s more social and discursive construction of knowledge, a growing trend in knowledge management. This conceptual paper explores the synergies, opportunities and contingencies available to both fields. It identifies challenges and opportunities for future research into the application of Big Data to Knowledge Management.
dc.language.isoenen
dc.publisherSpringer Verlagen
dc.relation.ispartofseriesLecture Notes in Business Information Processingen
dc.relation.ispartofseries185en
dc.relation.urlhttp://link.springer.com/book/10.1007%2F978-3-319-08618-7en
dc.relation.urlhttp://link.springer.com/chapter/10.1007/978-3-319-08618-7_3en
dc.subjectKnowledge managementen
dc.subjectBig Data analyticsen
dc.subjectInformation overloaden
dc.subjectDiscourseen
dc.titleBig data analytics: a threat or an opportunity for Knowledge Management?en
dc.typeBook chapteren
dc.contributor.departmentUniversity of Derbyen
html.description.abstractBig Data Analytics is a rapidly developing field which already shows early promising successes. There are considerable synergies between this and Knowledge Management: both have the goal of improving decision-making, fostering innovation, fuelling competitive edge and economic success through the acquisition and application of knowledge. Both operate in a world of increasing deluges of information, with no end in sight. Big Data Analytics can be seen as a threat to the practice of knowledge management: it could relegate the latter to the mists of organizational history in the rush to adopt the latest techniques and technologies. Alternatively, it can be approached as an opportunity for knowledge management in that it wrestles with many of the same issues and dilemmas as knowledge management, The key, it is argued, lies in the application of the latter’s more social and discursive construction of knowledge, a growing trend in knowledge management. This conceptual paper explores the synergies, opportunities and contingencies available to both fields. It identifies challenges and opportunities for future research into the application of Big Data to Knowledge Management.


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