Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You and Your Team.

Learn More →

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

Does big data mean big knowledge? KM perspectives on big data and analytics PurposeThis 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/approachThis study expresses the opinions of the guest editors of “Does Big Data Mean Big Knowledge? Knowledge Management Perspectives on Big Data and Analytics”.FindingsA 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/implicationsThis is an opinion piece, and the proposed model still needs to be empirically verified.Practical implicationsIt 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/valueThe BDA-KM model is one of the early models placing knowledge as the primary consideration in the successful organizational use of big data/analytics. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Knowledge Management Emerald Publishing

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

Loading next page...
 
/lp/emerald-publishing/does-big-data-mean-big-knowledge-km-perspectives-on-big-data-and-I1QWEFKLRa
Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1367-3270
DOI
10.1108/JKM-08-2016-0339
Publisher site
See Article on Publisher Site

Abstract

PurposeThis 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/approachThis study expresses the opinions of the guest editors of “Does Big Data Mean Big Knowledge? Knowledge Management Perspectives on Big Data and Analytics”.FindingsA 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/implicationsThis is an opinion piece, and the proposed model still needs to be empirically verified.Practical implicationsIt 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/valueThe BDA-KM model is one of the early models placing knowledge as the primary consideration in the successful organizational use of big data/analytics.

Journal

Journal of Knowledge ManagementEmerald Publishing

Published: Feb 13, 2017

References