An Ecosystem Approach to Knowledge Management

Effective use of knowledge in organisations would typically lead to improved organizational performance. Organisations that practice and leverage organizational knowledge through integration, innovation and sharing of lessons learned will continue to improve and strengthen the organisation’s operati...

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Bibliographic Details
Main Authors: Chang, Vanessa, Tan, Amanda
Other Authors: Lorna Uden
Format: Conference Paper
Published: Springer 2012
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/16697
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author Chang, Vanessa
Tan, Amanda
author2 Lorna Uden
author_facet Lorna Uden
Chang, Vanessa
Tan, Amanda
author_sort Chang, Vanessa
building Curtin Institutional Repository
collection Online Access
description Effective use of knowledge in organisations would typically lead to improved organizational performance. Organisations that practice and leverage organizational knowledge through integration, innovation and sharing of lessons learned will continue to improve and strengthen the organisation’s operation. The ecosystem approach described in this paper centred on the premise that knowledge is individualised information enriched through the process of learning, then shared and applied to practical situations. To capture better knowledge management, a collaborative knowledge management framework is used to examine the positions of knowledge management in an organisation. To highlight the complex and heterogeneous nature of knowledge management, a set of practices aimed to enhance collaboration is presented as holistic approach toward improving practical learning environments. In addition, a set of actionable knowledge management strategies to improve the relationships among the components interacting within each organisational ecosystem can be recommended as a result of using the framework.
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format Conference Paper
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institution Curtin University Malaysia
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publishDate 2012
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spelling curtin-20.500.11937-166972023-02-02T07:57:38Z An Ecosystem Approach to Knowledge Management Chang, Vanessa Tan, Amanda Lorna Uden Francisco Herrera Javier Bajo Perez Juan Manual Corchado Rodriguez Collaborative Learning Knowledge Management Learning Ecosystem Organisational Learning Effective use of knowledge in organisations would typically lead to improved organizational performance. Organisations that practice and leverage organizational knowledge through integration, innovation and sharing of lessons learned will continue to improve and strengthen the organisation’s operation. The ecosystem approach described in this paper centred on the premise that knowledge is individualised information enriched through the process of learning, then shared and applied to practical situations. To capture better knowledge management, a collaborative knowledge management framework is used to examine the positions of knowledge management in an organisation. To highlight the complex and heterogeneous nature of knowledge management, a set of practices aimed to enhance collaboration is presented as holistic approach toward improving practical learning environments. In addition, a set of actionable knowledge management strategies to improve the relationships among the components interacting within each organisational ecosystem can be recommended as a result of using the framework. 2012 Conference Paper http://hdl.handle.net/20.500.11937/16697 10.1007/978-3-642-30867-3_3 Springer restricted
spellingShingle Collaborative Learning
Knowledge Management
Learning Ecosystem
Organisational Learning
Chang, Vanessa
Tan, Amanda
An Ecosystem Approach to Knowledge Management
title An Ecosystem Approach to Knowledge Management
title_full An Ecosystem Approach to Knowledge Management
title_fullStr An Ecosystem Approach to Knowledge Management
title_full_unstemmed An Ecosystem Approach to Knowledge Management
title_short An Ecosystem Approach to Knowledge Management
title_sort ecosystem approach to knowledge management
topic Collaborative Learning
Knowledge Management
Learning Ecosystem
Organisational Learning
url http://hdl.handle.net/20.500.11937/16697