leadership in complex environments conference 2007, jean e… · republican party; starbucks ......
TRANSCRIPT
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Leadership in Complex EnvironmentsLearning & Organizational Change Conference
Jeanie EgmonJune 9, 2007
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Storyline• Our Complex World• Complexity Defined• A Simple Illustration • Networks & Complexity• Distributed Cognition• X Factor –
The Prepared Mind
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Types of
Value
Intellectual
Structural
Financial
Safety Belief
Historic
Emotional
Innovation
Social
Reputational
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Iceberg Model
Strategies
Patterns of intent; frameworks
Surface
Tactics
Behaviors, Outcomes, What you see
Core Principles, Concepts
Underlying Conceptual & Assumption Base
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Knowledge Capitalization for Competitive Advantage
Type
s of
Kno
wle
dge
Incr
easi
ngly
Diff
icul
t to
“C
aptu
re”
& A
rtic
ulat
e
Explicit
Implicit
Tacit
Types of Knowing
Increasingly Difficult to Copy
Declarative (what) Procedural (how) Conditional (why)
Complex
Simple/
Complicated
Commodity
Provide processes for arriving at known answers & consensus scenarios
Provide known answers
Provide questions for arriving at new opportunities & for
increasing perspective
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STRAIGHTFORWARDData and processes are structuredBest Practices, standard operating procedures apply
COMPLICATEDData and processes are unstructuredSolutions require new information and studyAlternate scenarios focus approach
COMPLEXBroader system considerationsMultiple and interdependent variablesRecognizing relationships,and inter-dependencies Simple rules of thumb define interactionsThe system adapts to evolving situations,changes, Leading to new developments, New opportunity...... Emergence
CHAOSEvents outpace solutionsEvents compoundAgility in response required
Considering a Context for Complexity in Our Work
Uncertainty
Increasing Variables ( Agents)
Incr
easi
ng In
terd
epen
denc
ies
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Complexity is simply….Seeing “what lies beneath”
systems that behave in
sometimes surprising ways because of the non- linear interactions involved in working toward
their goals in the midst of constant streams of information.
These interactions require continuous adaptation and re-assembling of communication patterns based on simple rules to maintain the integrity of the system and co-evolve with its surrounding environments (e.g., traffic, the human body, the earth, markets, groups of people interacting)
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What’s so cool is….Many of the underlying patterns are turning
out to be the same or at least very similar across domains (e.g., human memory and organizational memory; human bodies adapting to stress and markets adapting to stress; diseases spreading and ideas spreading past the Tipping Point)
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Complex Distributed Cognition Systems•
Purpose–
fill niches needed in the larger system
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Essence–
interactions of the agents
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Agents–
interact with environment–
organize themselves often in networks
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continuously learn & adapt
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Behavior–
emerges from agents following “simple rules”
With
chemical
trail
Without
chemical
trail Time = 1240
Time = 780
show
results
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Examples of Complexity in Action with Northwestern
• GM Design & Quality Networks• Adaptive Supply Chain• Risk Management• Creativity & Innovation –
Across Scales
• New Oncofertility
Discipline• Co-development & Collaboration Across
Silos
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Complexity Business Examples•
Transportation Agility –
Southwest; Fed Ex•
Mass Collaboration –
Amazon; Google; Wikipedia; e-Bay•
Smart Products –
GE Appliances; US Military Vehicles and Weapons•
Risk Management –
US Intelligence; Capital One•
Cross Boundary Collaboration –
P&G; IBM•
Research Investment Decisions –
NSF•
Adaptive Supply Chains –
Walmart; Toyota•
Creativity –
IDEO•
Consulting –
Coca-Cola Latin America•
Marketing; Engagement –
Republican Party; Starbucks•
Leadership/Personal Growth & Effectiveness –
Phil Jackson (Bulls, Lakers)
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See also Cultivating Excellence Workbook
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Other Examples • Google –
track the links
• Starbucks –
change the rules• IBM –
change the tasks and space to
require virtual network interactions• E-Bay –
change the agent roles
• Coca-Cola –
leverage the hub role• Tipping Point –
design a viral self-
referencing vehicle
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What constitutes complexity?•
A system of individual agents*
with individual interests and general interest whose long-term success is interdependent with:–
Balancing competition & cooperation–
Non-linear information sharing and knowledge creation with other agents and networks beyond their immediate local environment
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The interaction*
of information sharing agents within local and wider networks is guided by simple rules*–
Simple rules are heuristics for decision-making and behavior.
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This interactive behavior of combining and recombining information gives rise to self-organization* into a web of information sharing networks* underneath the formal organizational structures
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What constitutes complexity?
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From the interaction within and between networks emerges* specific non-linear intended and unpredictable outcomes –
Intended Outcomes Examples: new methods and procedures and policies
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Unpredictable Outcome Examples: new relationships, concepts and insights
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The information from these emergent ideas, patterns, relationships even structures feedback* into this complex system, and to the wider market, and generate new avenues for growth, discovery and
adaptation*–
Example: New markets & “Tipping Points”
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Network Risks
Random
network, node
failure
Linkages are typical of hierarchies, connectedness is achieved.
Scale-free
network, node
failure
Linkages are typical of free information flow, Connectedness responds to efficiency with a few highly connected “distributors” and many receivers
Key idea: careful of super-hubs or lone integrators
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Using the “surround”•
Knowledge is embedded in the “surround”
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e.g., structures, reward systems, policies
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Surround factors as their own knowledge representations, often tacit & implicit
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Instead of independent variables affecting knowledge creating and sharing
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To change the complex behavior of the system, question or make small changes to factors in the system: information, people, goals, things & rules interacting
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Be prepared to adapt with emergence
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Knowledge Mediation ModelIndividual
Organizational
Social
Information Technology
Practice
**Arrows represent knowledge flowing
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Model Explanation•
Knowledge is mediated–
Created
–
Organized
–
Shared
–
Used
–
Transformed
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By individuals, groups, organizational artifacts & information technology interacting with each other
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In the midst of practice–
Doing some activity that requires an integration of knowledge(s) to produce a desired result
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Network Links PRIME Network Activation
PRIME Activators:• Products/Artifacts• Relationships• Ideas• Motivations• Events
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Expert Knowledge FrameworkTechnicalAnalyze client’s problem, deliver solution, and manage project
InterpersonalUse interpersonal and communication skills to ensure pleasant service experience
ContextualUnderstand the context of the current problem
Business DevelopmentAttract business and maximize benefits for the consulting firm
Problem PreventionPredict and prevent problems
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Functional expertise
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Project management and expectation management skills
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Listening skills•
Client sponsor’s needs and emotions
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Enhance client engagement
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Project history and stakeholders
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Organizational context: political factors, cultural issues, organizational structure, market, etc.
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Relationship between the project and the context
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Sales strategies: establish client confidence
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Negotiation strategies: learn about client budget, potential competitors, etc.
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Qualify client •
Plan steps ahead to predict landmines in the project work
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Shape client needs, push back on key issues to ensure success
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Weaving a Complex Network of Ideas
High
Low
Low High
Functional/ Disciplinary
Technical Skills
Translational & Situational Application Skills
Expert Insightful Catalyst
SocializerTechnical Informant
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Industrial Age Leadership Model
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Expert•
Answers
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Boss•
Primarily Quantitative Analysis
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Decide & Act•
Control the parts
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Insightful Catalyst•
Questions
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Boundary Spanner •
Quantitative & Qualitative Analysis
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Interact & Decide•
Enable a larger view
Prepared Mind Leadership Model
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Complexity in Action
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What is a situation you are in now that could benefit from the systematic use of complexity thinking and methods?
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What are the 3 best questions you use when you are playing the role of the insightful catalyst?