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Integration of Knowledge Management and Business Intelligence for Lean Organizational Learning by the Digital Worker

Integration of Knowledge Management and Business Intelligence for Lean Organizational Learning by the Digital Worker
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Author(s): Selvi Kannan (Victoria University, Australia)and Shah J. Miah (The University of Newcastle, Australia)
Copyright: 2019
Pages: 11
Source title: Applying Business Intelligence Initiatives in Healthcare and Organizational Settings
Source Author(s)/Editor(s): Shah J. Miah (The University of Newcastle, Australia)and William Yeoh (Deakin University, Australia)
DOI: 10.4018/978-1-5225-5718-0.ch007

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Abstract

The polarization of global labor 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 organizational decision makers to rethink on the management of work. Knowledge management (KM) is understood to encourage content management, collaboration with inclusion of organizational behavioral science, and of course technologies. Complementing BI with knowledge management (KM) system in an organization can account for lean and accelerated performance. In this chapter, the authors present their 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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