An ecosystem approach to knowledge management: Case studies of two Australian SMEs

This study is centred on the premise that knowledge is personalised information which can be enriched through the process of learning, then shared and applied to practical situations to attain value. To highlight the complex nature of knowledge management (KM) as a set of practices and aimed to enha...

Full description

Bibliographic Details
Main Authors: Tan, Amanda, Chang, Vanessa
Other Authors: Annette Mills
Format: Conference Paper
Published: ACIS 2008
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/7722
_version_ 1848745451588681728
author Tan, Amanda
Chang, Vanessa
author2 Annette Mills
author_facet Annette Mills
Tan, Amanda
Chang, Vanessa
author_sort Tan, Amanda
building Curtin Institutional Repository
collection Online Access
description This study is centred on the premise that knowledge is personalised information which can be enriched through the process of learning, then shared and applied to practical situations to attain value. To highlight the complex nature of knowledge management (KM) as a set of practices and aimed to enhance collaboration, the concept of a Collaborative Leaning Ecosystem (CLES) is presented as holistic approach toward improving practical learning environments. In view of the pressing need for better KM in small-to-medium (SME) enterprises, the CLES framework is used to examine the KM positions of two Australian SMEs. Viewing each case as an 'organisational ecosystem', the holistic assessment of each SME exposes certain KM inefficiencies unique to the firm, which are addressed through a set of actionable KM strategies for improving the relationships among the components interacting within each organisational ecosystem.
first_indexed 2025-11-14T06:17:34Z
format Conference Paper
id curtin-20.500.11937-7722
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T06:17:34Z
publishDate 2008
publisher ACIS
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-77222022-11-21T05:19:39Z An ecosystem approach to knowledge management: Case studies of two Australian SMEs Tan, Amanda Chang, Vanessa Annette Mills Sid Huff Learning Ecosystems Collaborative Learning SMEs Knowledge Management This study is centred on the premise that knowledge is personalised information which can be enriched through the process of learning, then shared and applied to practical situations to attain value. To highlight the complex nature of knowledge management (KM) as a set of practices and aimed to enhance collaboration, the concept of a Collaborative Leaning Ecosystem (CLES) is presented as holistic approach toward improving practical learning environments. In view of the pressing need for better KM in small-to-medium (SME) enterprises, the CLES framework is used to examine the KM positions of two Australian SMEs. Viewing each case as an 'organisational ecosystem', the holistic assessment of each SME exposes certain KM inefficiencies unique to the firm, which are addressed through a set of actionable KM strategies for improving the relationships among the components interacting within each organisational ecosystem. 2008 Conference Paper http://hdl.handle.net/20.500.11937/7722 ACIS fulltext
spellingShingle Learning Ecosystems
Collaborative Learning
SMEs
Knowledge Management
Tan, Amanda
Chang, Vanessa
An ecosystem approach to knowledge management: Case studies of two Australian SMEs
title An ecosystem approach to knowledge management: Case studies of two Australian SMEs
title_full An ecosystem approach to knowledge management: Case studies of two Australian SMEs
title_fullStr An ecosystem approach to knowledge management: Case studies of two Australian SMEs
title_full_unstemmed An ecosystem approach to knowledge management: Case studies of two Australian SMEs
title_short An ecosystem approach to knowledge management: Case studies of two Australian SMEs
title_sort ecosystem approach to knowledge management: case studies of two australian smes
topic Learning Ecosystems
Collaborative Learning
SMEs
Knowledge Management
url http://hdl.handle.net/20.500.11937/7722