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Facilitated Modelling in OR (intervention design (degree of technology…
Facilitated Modelling in OR
intro
optimal impossible
lack agreement
many stakeholders
levels of participation
consultancy modes
types
acilitated
expert
assumptions
problems real/ social construction
objective analysis / subjectivity
optimal / satisficing solution
straightforward implementation / commitment
dimensions
framing
avoid bias / negotiating definitions
formulating
by analyst / by group
metrics
by expert / management team
data
quant. and by expert / also qual. and by group
evaluation
expert / team discussion
results
report / playing
action
granted / commitment
paying
for solutions / for facilitation support
aim
optimal solution / learning and consensus
facilitation
group effectiveness
dysfunctional dynamics
primary tasks
task types
problem structuring
evaluation of options
process stages
divergent thinking
explore perspective / objectives and solutions
groan zone
integrate thinking and shared framework
convergent thinking
consolidate perspective / refine options for action plan
individual / group
types of FM
facilitated problem structuring
Strategic Options Development and Analysis
Strategic Choice Approach
Soft System Methodology
Dialog Mapping
Facilitated SD
Group Model Building
facilitated decision analysis
Multi-Criteria Decision Analysis
Decision trees and simulation
Multi-Criteria Portfolio Analysis
facilitated modelling
what's a formal model?
represent process flows
cause-effect
decision-consequences
4 aspects
model nature
play-tool
for understanding
negotiating
visual, transparent and close language
requisite models
outcomes
model
accomodating positons
cahnging coalitions
learning and common purpose
ownership, commitment and responsibility
skills
listening
chart-writing
group dynamics / power
reaching closure
process
participative
interactive
non-linear
stakes detachement
more or less technology
FM facilitator work on the content
intervention design
data type
cognitive load
ambiguity and analysis
data collection
top-down
bottom-up
degree of technology
amount of data
speed of processment
data structuring
flexibility
level of inference
ambiguity and perspectives
content facilitation
self-facilitation
model focus
structuring
evaluation
future research
understanding process in practice
best practice generalization
outcomes assessment
validity of design dimensions
methodology development