Integration of Knowledge Management and Business Intelligence for lean organisational learning by the Digital Worker

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Kannan, Selvi and Miah, Shah Jahan ORCID: 0000-0002-3783-8769 (2018) Integration of Knowledge Management and Business Intelligence for lean organisational learning by the Digital Worker. In: Applying Business Intelligence Initiatives in Healthcare and Organizational Settings. Miah, Shah Jahan and Yeoh, William, eds. IGI Publishers, Hershey, Pennsylvania, pp. 130-140.

Abstract

The polarization of global labour market, hunt for talent, need to adapt quickly to changing environment is pressuring businesses more than ever before on their performance. This is further snowballed with the development of digitalization, automation, robotization and artificial intelligence that offer approaches for addressing enormous industry challenges. These challenges create a push for organisational decision makers to rethink on the management of work. Whilst, knowledge management (KM) is understood to encourage content management, collaboration with inclusion of organisational behavioural science and of course technologies. Complementing BI with knowledge management (KM) system in an organisation can account for lean and accelerated performance. In this chapter, we present our position and insights in the integration of KM and BI suited for the worker in the digital world which possibly encourages lifelong learning with the focus on adaptability.

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Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/36441
DOI https://doi.org/10.4018/978-1-5225-5718-0.ch007
Official URL https://www.igi-global.com/chapter/integration-of-...
ISBN 9781522557180
Subjects Historical > FOR Classification > 0806 Information Systems
Historical > Faculty/School/Research Centre/Department > College of Business
Keywords business intelligence; knowledge management; lean business performance
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