The field of knowledge management
has not adequately met its goals of transforming
information sharing and collaborations in organisations.
Lucier and Torsilera (1997) claim that 84 percent
of KM programs fail to have any real impact.
Despite these problems, knowledge management
addresses a clearly perceived need for innovation,
whether expressed in terms of the knowledge
economy, knowledge workers, or intellectual
capital management.
The Knowledge Life Cycle (Birkinshaw and Sheehan,
2002) states that knowledge progresses through
4 stages (creation, mobilisation, diffusion
and commoditization) and as it develops overtime,
knowledge becomes accessible to more and more
people – first in the organisation and
finally, to the general public – therefore,
companies must use different strategies to realise
the maximum value of the knowledge flows. Knowledge
management in its traditional approach addresses
the supply side of the life cycle process. It
largely views knowledge as fungible organisational
assets to be organised and made accessible through
the many information and communication tools
and coordinated through changes in work practices
that facilitate collaboration and information-sharing.
This research in this cluster seeks to extend
the focus from supply to the demand side of
the knowledge flows, from management to mobilisation.
We propose the Knowledge Fusion framework that
aims to extend and improve the effectiveness
of the knowledge flows by adding the elements
of knowledge mobilisation that are centred on
the individual and demand side. The framework
focuses on two components - ‘Knowledge
Embodiment’ and ‘Knowledge ‘Regimes
of Truth’ - to provide a comprehensive
and parsimonious intellectual mapping of knowledge
in action in the organizations. These concepts
address the philosophical, political and social
forces that may be significant and, if overlooked,
can impact the practicalities of knowledge management.
The research seeks to build on the Knowledge
Fusion framework by testing the validity of
its constructs, and building a database of case
studies to illustrate the findings and results,
hence evolving our theory-building.
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