Transcript KM & IT - jcspender

KM & IT
JC Spender
LUSEM & ESADE
where did KM come from?
• globalization
• decline of monopoly
• knowledge work
• economics of intangible assets (intellectual
capital)
• competitiveness & organizational
dynamism
• IT technological advances
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IT technology advances
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real-time measurement and control
automation
‘death of distance’
efficiency
working capital management
competitive advantage, responsiveness
cost of doing business – new non-monopolistic
business models
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knowledge work
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mental versus physical - Scientific Management
services and customization
heterogeneity versus mass production
evolution of customer power
uniqueness & agentic inputs as essence of K-work
professional knowledge - support deliverer’s agency
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intangibles ?
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intellectual capital: human, organizational, social
world of certainties - rules, heuristics, etc.
search costs, exploration - exploitation budgeting
distinction between IC and agency
resilience, responsiveness to the unanticipated,
dynamic capabilities
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organizational dynamics
• connection between individual and
organizational knowledge ?
• nature of ‘the organization’ ?
• KBV – ToF with non-rivalrous resources
• routines
• evolutionary theory of the organization
with environment as selector
• organizational time, selection,
reproduction and distribution rates
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what can IT handle?
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what K do ‘professionals’ need?
types of knowledge, self-referencing
phronesis, metis, episteme, techne, sophia, nous
forms of life
DIKW (Ackoff 1987)
data, meaning and practice (Spender 2007)
IT = EDP
information = data + meaning
meaning management
narrative, story-telling, metaphor, rhetoric
practice management ??
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Penrosian point
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resources versus services
different ToF
view world through the BM
framework as method
strategic change dimensions: constraints
to agentic choice/action
• physical, social, normative, legal,
competitive, psychological, cultural,
faith-based
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how can IT support managerial agency?
• different theories of the managed firm
– data intensive
– meaning intensive (learning by doing)
– practice intensive (tacit learning by doing)
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attention management
expert systems
mapping &‘business intelligence’
game theory
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02 - Feb - 11
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