Boisot (1943-2011)
Max Henri Boisot was born in 1943 and died in 2011 by cancer. Boisot attended Gordonstoun boarding school in Moray, Scotland. and
later studied architecture at the University of Cambridge and city
planning at the Massachusetts Institute of Technology,
before taking his PhD in technology transfer at Imperial College London.
He was
a Professor of Strategic Management at the ESADE business school
in Barcelona.
known for his ideas about the information economy, the information
space, social capital and social learning theory.
After working as a manager for construction firm
Trafalgar House, in 1972 Boisot co-founded an architectural partnership, Boisot
Waters Cohen, and from 1975 to 1978 acted as a consultant on projects in France
and the Middle East. From
1983 to 1989, he was Director and Dean of China Europe Management Institute in
Beijing China.
Afterwards Boisot was Professor of Strategic
Management at the ESADE business school in Barcelona.
Associate Fellow at Templeton
College, University of Oxford, and Senior Associate
at the Judge Institute of Management Studies at
the University of Cambridge. He was also a
research fellow at the Sol Snider Center, the Wharton
School of the University of Pennsylvania.
His book Knowledge Assets was awarded the
Ansoff Prize for the best book on strategy in 2000. The I-Space framework
which is central to his work is an acknowledged early influence on the
development of the Cynefin framework.
I learned that his KM model is based on
the key concept of an "information
good“ that differs from a physical asset. Boisot distinguishes information from data by emphasizing that information is what an observer will extract from data as a function
of his or her expectations or prior knowledge. Boisot (1998) proposes the following two key points:
good“ that differs from a physical asset. Boisot distinguishes information from data by emphasizing that information is what an observer will extract from data as a function
of his or her expectations or prior knowledge. Boisot (1998) proposes the following two key points:
The more easily data
can be structured and converted into information, the more diffusible it
becomes.
The less data that has
been so structured requires a shared context for its diffusion, the more
diffusible it becomes (Dalkir, 2011, p.82).
Boisot's model can be
visualized as three dimensional cube with the following dimensions:
Ø from
uncodified to codified,
Ø from
concrete to abstract,
Ø from
un-diffused to diffused.
He also proposes a Social Learning
Cycle (SLC) that uses the I-Space to model the dynamic flow of knowledge
through a series of six phases:
Ø Scanning: insights
are gained from generally available (diffused) data
Ø Problem-Solving: problems
are solved giving structure and coherence to these insights (knowledge becomes
'codified')
Ø Abstraction: the
newly codified insights are generalized to a wide range of situations
(knowledge becomes more 'abstract')
Ø Diffusion: the
new insights are shared with a target population in a codified and abstract
form (knowledge becomes 'diffused')
Ø Absorption: the
newly codified insights are applied to a variety of situations producing new
learning experiences (knowledge is absorbed and produces learnt behavior and
so becomes 'un-codified', or 'tacit')
Ø Impacting: abstract
knowledge becomes embedded in concrete practices, for example in artifacts,
rules or behaviour pattern

Thanks for more information. As Boisot's KM model, information is good!! ^_^
ReplyDeleteYes, Ajarn. I try to write all that I learned but cannot because many things to be done these days. Hopefully, I will write in my own understanding next time.
ReplyDeleteYes, Ajarn. I try to write all that I learned but cannot because many things to be done these days. Hopefully, I will write in my own understanding next time.
ReplyDelete