Big hopes for big data: Improving knowledge management through text analytics. Issue 2 (6th March 2017)

• Record Type: Journal Article
• Is Part Of: Development and learning in organizations. Volume 31:Issue 2(2017)
• Page Start: 23
• Page End: 25
• Publication Date: 2017-03-06
• Subjects: Knowledge management -- Big data -- Big data text analytics; Organizational learning -- Periodicals; Employees -- Training of -- Periodicals; Training -- Periodicals; Organizational change -- Periodicals; 658.3124
• DOI: 10.1108/DLO-02-2017-0013
• Languages: English
• ISSNs: 1477-7282

Abstract

Abstract : Purpose: This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach: This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings: More than ever before, current organizations see knowledge as the key to success. The emphasis on effective knowledge management (KM) has increased accordingly. However, the ubiquitous nature of data available to firms means that conventional KM tools are largely incapable of coping with such an information overload. Big data text analytics offers considerably greater scope in this respect. Its tools and technologies can enable businesses to extract important information from masses of structured and unstructured data and convert the information into explicit knowledge that can be absorbed and exploited to help secure a competitive advantage. Practical implications: The paper provides strategic insights and practical thinking that have influenced some of the world's leading organizations. Originality/value: The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.