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Does big data mean big knowledge? KM perspectives on big data and analytics

David J. Pauleen (Massey University, Auckland, New Zealand)
William Y.C. Wang (Department of Management Systems, University of Waikato, Hamilton, New Zealand)

Journal of Knowledge Management

ISSN: 1367-3270

Article publication date: 13 February 2017

Abstract

Purpose

This viewpoint study aims to make the case that the field of knowledge management (KM) must respond to the significant changes that big data/analytics is bringing to operationalizing the production of organizational data and information.

Design/methodology/approach

This study expresses the opinions of the guest editors of “Does Big Data Mean Big Knowledge? Knowledge Management Perspectives on Big Data and Analytics”.

Findings

A Big Data/Analytics-Knowledge Management (BDA-KM) model is proposed that illustrates the centrality of knowledge as the guiding principle in the use of big data/analytics in organizations.

Research limitations/implications

This is an opinion piece, and the proposed model still needs to be empirically verified.

Practical implications

It is suggested that academics and practitioners in KM must be capable of controlling the application of big data/analytics, and calls for further research investigating how KM can conceptually and operationally use and integrate big data/analytics to foster organizational knowledge for better decision-making and organizational value creation.

Originality/value

The BDA-KM model is one of the early models placing knowledge as the primary consideration in the successful organizational use of big data/analytics.

Keywords

Citation

Pauleen, D.J. and Wang, W.Y.C. (2017), "Does big data mean big knowledge? KM perspectives on big data and analytics", Journal of Knowledge Management, Vol. 21 No. 1, pp. 1-6. https://doi.org/10.1108/JKM-08-2016-0339

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited