scenario analysis - ulisboa analysis (methodological ... •environmental scanning ... the...
TRANSCRIPT
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SCENARIO ANALYSIS(Methodological tools and a language for learning and
strategic dialogue)
António Alvarenga
1st SEMESTER, 2015/2016 DECISION SUPPORT MODELS, DEPARTMENT OF ENGINEERING AND MANAGEMENT
Note: These slides are just a tool supporting the lectures. Not all slides will be necessarily used.
[email protected]://pt.linkedin.com/in/antonioalvarenga
SCENARIO ANALYSISForesight, Horizon Scanning and Scenarios:
methodological toolbox
António Alvarenga
1st SEMESTER, 2015/2016 DECISION SUPPORT MODELS, DEPARTMENT OF ENGINEERING AND MANAGEMENT
Note: These slides are just a tool supporting the lectures. Not all slides will be necessarily used.
[email protected]://pt.linkedin.com/in/antonioalvarenga
17/11/2015
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1st SEMESTER, 2015/2016 DECISION SUPPORT MODELS, DEPARTMENT OF ENGINEERING AND MANAGEMENT 3
5. Scenario analysisW9
• Foresight, Horizon Scanning and Scenarios: origins, principles and key concepts. (T11 x2)
W10• Key concepts in action – “The future of manufacturing”. (P03)• Foresight, Horizon Scanning and Scenarios: methodological toolbox. (T12 x2)
W11• Key concepts in action – “The future of manufacturing” (cont.). (P03)• The Intuitive Logics School of Scenario Building: objectives, applications and key features. (T13 x2)
W12• Experimentation of a crucial stage of the process: choosing key uncertainties. (P04)• Morphological Analysis: introduction and cases. (T14 x2)
W13• Using Morphological Analysis to build Scenarios: hands-on application. (L05)
4António Alvarenga
STRATEGIC
FORESIGHTDesign
Organization
Scanning
Interpretation
Anticipation
Visioning
Planning
Action
Adapte
d f
rom
Hin
es,
Bis
hop,
2006
•Attitudes towards the future
• Audience (client(s); Decision
makers, stakeholders, ...)
• Rationales and objectives
• Focus and Time Horizon(s)
• Team and Experts
• Work Environment
•Structure and System
• Retrospective
• Actors vs Factors
• Scanning the
Environment
• Mobilization
(colleagues and
outsiders)
• Drivers and Uncertainties
• Diverge - Generate ideas
• Converge - Rank ideas
• Alternative Futures
• Identify Implications
• Challenge Mental Models
• Think in a Visionary Way
• Appropriation
• Think Strategically
• Develop Strategic Options
• Report results
• Agenda for Action
• Intelligence and Monitoring System
• "Institutionalize" Strategic Thinking
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1st SEMESTER, 2015/2016 DECISION SUPPORT MODELS, DEPARTMENT OF ENGINEERING AND MANAGEMENT 5
Methods and Tools: more flexible, intuitive and lighter
ForesightScenario Planning/Thinking (intuitive-logics: SHELL, GBN, SRI, etc; Porter) • Trend Analysis• Environmental Scanning• Futures Wheels• Futures Accelerator© • Visions Competition©• Incasting• Future Workshops (future conferences)
Actors • Stakeholder Analysis• Strategic Groups (workshop version; adaptation)• Role Plays
Innovation and Creativity • Strategic Deep Dives (IDEO)• Mind Mapping• Brainstorming• Brainwriting• Focus Groups• Storytelling
Competitive Intelligence• Competitive Blindspots• War Games• Competitive Benchmarking & Tactical Analysis• Early Warning (Weak signals) Management Systems• Benchmarking Studies
Methods and Tools: more formal, analytic and “heavy”
• Scenario Planning (La Prospective, Mathematic/Probabilistic Modeling)• Delphi• Structural Analysis (MICMAC)• Analysis of the “Actors’ Game” (MACTOR)• Morphological Analysis (MORPHOL)• Smic-Prob-Expert / Cross Impact Analysis (CIA)• Trend Impact Analysis (TIA)• Causal Layered Analysis (CLA)• Patent Analysis
Strategy and Management
• SWOT analysis• Balanced Scorecard• Core Competencies• Activity System• Business Idea• 5 Forces• Strategic Groups• Value-chain• End Game Analysis• Key Strategic Factors / Internal Factors of Competitiveness
• Gap Analysis• Wind Tunneling• Implications and options• Finantial Analysis• Strategic Conversation• Strategic Choice Structuring• Real Options• Enterprise Value Map• Strat Bridge• Viable Firm Matrix• Resource Analysis• Force Field Analysis
• Ideas Combat©• Innovators Solution• Six Hats (de Bono)• Po (de Bono)• Mobility Vip Cards• Idea Boxes• Random Word
Alvarenga, Carvalho, 2009, updated
6António Alvarenga
TOOLS ORGANIZED AROUND 4 TOPICS -
CHALLENGES
Scenarios
Scanning &
Sensing “Factors”
Creativity and
Innovation
Scanning &
Sensing “Actors”
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ScenariosScanning
andSensing“Factors”
Creativity andInnovation
Scanningand
Sensing“Actors”
Brainstorming Brainwriting
Future Workshops
Futures Wheel
Deep Dive
Mindmapping
Mobility VIP Cards
Knowledge Cafe
https://www.youtube.com
/watch?t=317&v=2Dtrkrz
0yoU
8António Alvarenga
CREATIVE THINKING
CRITICAL vs CREATIVE THINKING
Creative Thinking is usually associated with the creation
and generation of ideas, processes, experiences or objects;
Critical Thinking focuses more on assessing those.
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9António Alvarenga
CRITICAL THINKING CREATIVE THINKING
analytic generative
convergent divergent
vertical lateral
probability possibility
judgment suspended judgment
focused diffuse
objective subjective
answer an answer
left brain right brain
verbal visual
linear associative
reasoning richness, novelty
yes but yes and
Fonte
: Robert
Harr
is:I
ntr
oduction t
o C
reative T
hin
kin
g (
vers
ion 1
July
1998),
htt
p:/
/ww
w.v
irtu
als
alt.c
om
/cre
book1.h
tm
10António Alvarenga
“Creativity is about divergent thinking.
Innovation is about convergent thinking.”
Ikujiro Nonaka
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11António Alvarenga
Fonte: InnovationPoint, 2005.
12António Alvarenga
BRAINSTORMING
Brainstorming is a technique / approach appropriate to tackle specific problems (rather
than general) being indicated in situations where new or "fresh" ideas are required (and
not decisional or evaluation analysis)
Main objectives:
1) free us from the limits of the “natural habitat” of our thinking;
2) produce a set of ideas from which one can make choices;
Brainstorming sessions should be conducted in groups of 2-10 people (between 2 and 7 people
is the optimal number).
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BRAINSTORMING
GUIDELINES
1. Defer judgment
2. Daring thoughts and wild-ideas
3. Tag on - build on the ideas of others
4. Go for quantity
5. Be visual
6. One conversation at a time
7. Keep the focus on the topic
8. Write everything (choose who notes » does not participate)
9. Organize chaos (moderator)
Source: IDEO, adapt.
14António Alvarenga
BRAINSTORMING
Practical Questions
1. Keep the session relaxed and enjoyable
2. Set a time limit for the session
3. Make copies
4. Add and Evaluate:
- ideas for immediate use
- areas for further exploration
- new approaches to the problem
5. Integration in processes (eg integration in a Scenario building process)
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15António AlvarengaSource: IDEO.com
16António Alvarenga
up2you
BRAINSTORMING
“Normal”
(How to turn a florist into a successful business?)
1/3 of the room
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BRAINSTORMING
Stop & Go
(How to differentiate an hotel?)
up2you
1/3 of the room
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BRAINSTORMING
Sequencing
(What can influence the future of the clothing industry?)
up2you
1/3 of the room
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BRAINWRITING
Brainwriting is the silent version where the generation of ideas in a group is made in writing.
There are two basic types of Brainwriting:
• Nominal Brainwriting - people are nominally in a group but mostly work on their own; the ideas of each participant are not shared with others (during the process of generating ideas);
• Interactive Brainwriting - Interaction of ideas that are shared in order to enhance additional stimuli.
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up2you
BRAINWRITING
Nominal “w/rose”
- Ideas for new Master degrees at IST?
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BRAINWRITING
Interactive
- How to transform Lx?
up2you
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FUTURES WHEEL
Futures Wheel is a method for identifying and organizing secondary and tertiary consequences of trends, events or actions.
Is a way of organizing thinking and questioning about the future - a kind of structured brainstorming (Glenn, 2003).
Invented in 1971 by Jerome C. Glenn.
One of the methods that can be used to perform a trend analysis.
Bibliography
Glenn, Jerome Gordon, Theodore (Ed.) (2003), "Futures Research Methodology - Version 2.0", The Millennium Project, American Council for The United Nations University (ACUNU).
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FUTURES WHEEL
» Definition [of the focus (organization, territory, country, etc.) and] of the central trend, event, decision or action to explore [CIRCLE IN THE CENTER]
» 1st ORDER: identification of the 1st order effects [CIRCLES LINKED TO THE CENTRAL CIRCLE WITH A TRACE]
» 2nd ORDER: Identification of the 2nd order effects, ie arising from the 1st order effects (from only one of them or from a combination) [CIRCLES CONNECTED TO THE 1st ORDER CONSEQUENCES WITH 2 TRACES]
(...)
» Possible identification of implications for policy / strategies / projects [RECTANGLES LINKED TO THE CIRCLES FROM WHICH THEY DIRECTLY ARISE]
[USE DIFFERENT COLORS IN EACH LEVEL]
[IDENTIFY THE GROUP]
24António Alvarenga
For some
users
enhanced
security
Information availability
depends on network
Price increases
due to less
efficiencies
Growth in
regional telcos
Complex billing
Restrictions in
real-time
opportunity
Growth in no.
of agents
Business will need
to be multiple
subscribers
Loss of
ubiquitous
connections
Substantial lessening of
business confidence
More
marketing and
special deals
Investment in network
border management more
important
More uncertain investment
climate for new entrants
Variance quality of
service
Increased risk of
transactional
failure
Portal
bundlers
Potential non-transportability of
hardware between providers
Direct intervention for
access (potential
investment
uncertainty)
Adds to digital divide
because some users
better off, other are
worse off
More divisions
between information
communities
Industry codes as
big as paper
Britannica
Information
rations
Fragmentalisation of
services (eg health,
education, etc) – less
service to citizens as a
result
Formation of
virtual
communities
Frustrated
consumers
More emphasis
on consumer
awareness and
education
More competition
initially, tips to re-
monopolisation
Loss of social
cohesionLack of
trust
Lack of clarity for
legal liability
Balkanisation of
networks – end of
universal connectivity
Source: ACA, 2004
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25António Alvarenga
Source: Saskatchewan Learninghttp://www.sasked.gov.sk.ca/docs/history10/activity/unit1/u1act9tis.html
26António Alvarenga
Sourc
e: G
lenn, G
ord
on, 2
003.
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MINDMAPPING
Mind mapping is a graphical technique for creative exploration of questions that strongly
depend on the ability of the mind to establish associations and relationships.
The technique was developed by Tony Buzan.
Bibliography:
Buzan, T. (1991) "The Mind Map Book", New York, Penguin.
28António Alvarenga
Mindmapping
Source: InnovationNetwork - www.thinksmart.com
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Scenarios
Creativity and
Innovation
Scanning and
Sensing “Factors”Scanning
andSensing“Actors”
Structural Analysis
(T13)
Trend Impact Analysis
(T13)
Cross-Impact Analysis
(T13)
Morphological Analysis
(T14 + L05)
Trend Analysis
(T11 + P03 + P04)
Delphi
Focus Groups
Env. Scanning(T11)
Technology Road-
mapping
30António Alvarenga
FOCUS GROUPS
Fonte: MSP
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Goal
Use a group discussion to collect information, clarify
details and seek views on an issue / problem from a small
group of selected people who should represent different
points of view. They can also be used to build consensus.
FOCUS GROUPS
32António Alvarenga
• Determine the participants (4-8)
• Homogeneity vs. heterogeneity
• Heterogeneity within the group vs. heterogeneity between groups
• Representativity?
• Focused vs. broad discussion question
• Notes vs. record
• Replies vs. discussions / behaviours / attitudes / language / emotions
• Can generate focused insights more quickly and generally more cheaply
than through a series of key informants or formal social surveys.
FOCUS GROUPS - Process
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References
MSP Resource Portal (Wageningen University and Research
Centre) – http://portals.wi.wur.nl/msp/
Mycoted – Creativity&Innovation / Science&Technology -
http://www.mycoted.com
FOCUS GROUPS
34António Alvarenga
THE DELPHI
METHOD
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35António Alvarenga
Structured process for group communication in which experts that
maintain anonymity opine, in several rounds, about uncertain issues,
characterized by limited information. Through processes of response
and feedback, simple statistics analyzes and special attention to
"eccentric" responses, the Delphi method leads to a set of anticipations
(subjective and intuitive) about the future, endowed with a significant
group consensus.
THE DELPHI METHOD
Sourc
e: Alv
are
nga, Carv
alh
o a
nd
Esc
ária
(2007),
adapt.
36António Alvarenga
THE DELPHI METHOD
• RAND (Olaf Helmer, Nicholas Rescher, Norman Dalkey) – Beginning of the 60’s.
• "just how much could be known about the future?" (Helmer and Rescher, 1959).
• Use of expert panels to explore the future.
• Remove the impediments and constraints of face-to-face meetings, allowing you to reach a
consensus among experts.
• Anonymity and feedback.
• IFTF (application of a range of futures methodologies, including Delphi, to social and
technological problems) » Futures Group
• For many years associated with the subject of Technological Foresight.
BIBLIOGRAPHY
• Gordon, T. J. and Helmer, Olaf, Report on a Long Range Forecasting Study, R-2982, 1964.
• Linstone, H., and Turoff, M. (ed.), The Delphi Method, Addison Wesley Publishing Co., 1975.
• Woudenberg, Fred, "An Evaluation of Delphi“, Technological Forecasting and Social Change, Sept. 1991.
Sourc
e:
Lin
stone, Turo
ff, 1975
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37António Alvarenga
THE DELPHI METHOD
Hypothetical example: suppose we want to establish a forecast for the date by which a manned Mars
landing would occur.
1. Identification and invitation to experts from different fields. Explanation of the method to the experts. It is
ensured the anonymity of statements.
2. Launch of the first questionnaire. Participants are asked to provide their judgment on a date at which a
manned landing might take place. The analysis would identify the range of opinions about the date.
3. Launch of a second questionnaire. The range of responses is presented to the group. Persons holding
opinions at the extremes of the range would be asked to reassess their opinion in view of the group's range
and provide reasons for their positions (for the maintenance or modification of their answer). At the end of
round two these reasons are synthesized by the researchers.
4. Launch of the third questionnaire. The new group judgment on a date is presented to the participants, along
with reasons for the extreme opinions. Each member of the group is asked to reassess his or her position in
view of the reasons presented. They might also be asked to refute, if appropriate, the extreme reasons with
any facts at their disposal.
5. In a fourth and final round, these arguments are presented, along with the evolving group consensus, and a
reassessment is requested.
Sourc
e: Lin
sto
ne, T
uro
ff, 1975, adapt.
38António Alvarenga
THE DELPHI METHOD
General notes
• In a sense, the Delphi method is a controlled debate.
• More often than not, experts groups move toward consensus; but even when this
does not occur, the reasons for disparate positions become crystal clear.
• Because the number of respondents is usually small, Delphis do not (and are not
intended to) produce statistically significant results. They represent the synthesis
of opinion of the particular group, no more, no less.
• The value of the Delphi method rests with the ideas it generates, both those that
evoke consensus and those that do not. The arguments for the extreme positions
also represent a useful product.
Sourc
e: Lin
sto
ne, T
uro
ff, 1975
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39António Alvarenga
WHY THE DELPHI?
• To highlight the areas that are more plausible to generate consensus but taking into account that the difference of opinion is valuable information (» uncertainties);
• To prepare policy/strategy recommendations based on:
• transdisciplinary visions;
• experts’ assumptions, judgments and expectations;
• To identify interconnections between topics;
• To conceive roadmaps based on the horizon or occurrence date;
• In preparation for the construction of scenarios.
THE DELPHI METHOD
Sourc
e:
Popper,
2006.
40António Alvarenga
THE DELPHI METHODPRINCIPLES AND CHARACTERISTICS
• expert panels » experts, especially when they agree and regarding matters of their specialty, are more likely to be correct than
non-experts (Gordon, 2003);
• calls for "informed intuition" of the participants and their positioning in relation to uncertain issues, characterized by limited
information;
• it is interactive in the sense that organizes the sharing of responses and feedback between participants in the successive
rounds, fostering mutual learning;
• it involves ensuring the anonymity of responses;
• implies non face-to-face confrontation;
• presents qualitative in the form of reports, findings, etc., and quantitative (subjective probabilities, means, medians, etc.)
results;
• the statistical treatment implies that, after each round, a set of statistical measures are applied to the subjective forecasts
associated with each statement individually considered: median, mode, arithmetic mean and interquartile range (median and
interquartile range are the most used). It can be prepared a graphical representation of this process;
• its final product should be a prediction that contains the point of view of the majority. However, it may also contain a minority
result if a given minority is convicted with respect to a particular statement (Massaud, s / d).
• encompasses exploratory and, possibly, normative elements;
• it is based on the positioning of experts towards the statements in a context of uncertainty and on the elaboration of
subjective forecasts;
• it is boosted by the idea that the future can be "moulded" / "built“;
• emphasizes the psychological processes involved in communication to the detriment of mathematical models.
Sourc
e:
Alv
are
nga,
Carv
alh
oand E
scária
(2007),
adapt.
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41António Alvarenga
THE DELPHI METHOD
PROCESS
Development
and testing of
the
questionnaire
1st round
Processing /
analysis of
results
2nd round
(modification
or confirmation
of opinions)
Report and /
or other final
outputs
Preparation of
the process
and selection
of participants
Sourc
e: Alv
are
nga, Carv
alh
o a
nd
Esc
ária
(2007),
adapt.
42António Alvarenga
THE DELPHI METHOD
PARTICIPANTS
• Setting up a group of experts in a given field of knowledge, which respond to a series of questions
about the future (of a predictive nature);
• It is based on structured surveys and uses information coming from the responses;
• The choice, motivation and monitoring of the panel participants is critical and sensitive;
• There is no minimum or maximum number of components of the panel;
• The choice of the panel used in an exploratory research may be intentional, probabilistic (with a
random factor in the choice) or a combination of both.
• The diversity of the participants should be taken into account and explained
• The participation is characterized by the guarantee of anonymity and by the fact that the
participants do not talk with each other during the answering process;
• In the second, and in an eventual third round of the method, it may or may not be kept be same
number of participants.
Sourc
e: Alv
are
nga, Carv
alh
o a
nd
Esc
ária
(2007),
adapt.
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43António Alvarenga
THE DELPHI METHOD
QUESTIONNAIRE
• The core questionnaire of the Delphi is structured with foresight-related
questions;
• The questionnaire is the centerpiece in the preparation of a Delphi, and it may
be structured as a "scoreboard" of the whole process.
Sourc
e: Alv
are
nga, Carv
alh
o a
nd
Esc
ária
(2007),
adapt.
44António Alvarenga
Period in which the event
will occur
Ro
un
d o
fth
eq
ue
sti
on
na
ire
Nr
of
an
sw
ers
Ex
pe
rtis
e le
ve
l o
f th
e
res
po
nd
en
t (%
)
To
pic
/ e
ve
nt
imp
ort
an
ce
Ex
pe
cte
de
ffe
ct
(%)
Rela
tive
po
sit
ion
(o
f th
e
co
un
try,
org
an
iza
tio
n,
...)
Me
as
ure
s t
o b
e t
ak
en
(b
y t
he
co
un
try,
org
an
iza
tio
n,
....
)
Topic /
statement
number
Topic / statement description
Statement1
Statement2
StatementN
...
2016 2020 2025 2030 2035
Illustration of a Delphi "scoreboard"
Sourc
e:
Alv
are
nga,
Carv
alh
o a
nd
Esc
ária,
2007;
adapt.
fro
mN
ISTEP,
2001;
EuRenD
el, F
inal Report
2004,
adapt.
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FORMULATION OF DELPHI STATEMENTS
Clear and concise expression of the event. Short sentence (20-30 words), unambiguous and
reducing the possibility of multiple interpretations. Direct expressions;
Avoid including two or more questions in a topic or statement;
It can be used a small panel to assist in the formulation of the questions and, if appropriate, in the
typification of the answers;
The questions to include in a Delphi can be very varied but must involve judgments;
Different types of questions may require different types of experts;
When we are dealing with questions relating to the values of independent variables used in
quantitative simulation models, a consensus may not be required (or useful).
THE DELPHI METHOD
Sourc
es:
Lin
stone, Turo
ff(1
975);
Popper
(2006);
Alv
are
nga,
Carv
alh
o a
nd
Esc
ária
(2007)
46António Alvarenga
An old silent pond...
A frog jumps into the pond,
splash! Silence again.
Bashô Matsuo
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47António Alvarenga
Consistent (uniform) use of language. The Japanese Delphi formed the basis for standardizing
the terminology used. Some examples:
• Elucidation: scientifically and theoretically identify principles or phenomena;
• Development: to attain a specific technological goal or complete a prototype;
• Practical use: first practical use of an innovative product or service;
• Widespread use: significant use or market penetration of a product or service.
Where possible, use of quantitative representations is encouraged. Examples:
• 50% of vehicles are electric in Portugal;
• 70% of the electricity is generated from renewable sources in the EU.
THE DELPHI METHOD
Sourc
es:
Popper
(2006);
Alv
are
nga,
Carv
alh
o a
nd
Esc
ária
(2007),
adapt.
FORMULATION OF DELPHI STATEMENTS
48António Alvarenga
Examples of statements of the UK Transport Delphi
(subsector: Air Traffic Systems)
THE DELPHI METHOD
Sourc
es:
PREST:
Case
Stu
dy
1:
Exp
lora
tory
–U
K T
ransp
ort
Delp
hi; A
lvare
nga,
Carv
alh
o a
nd
Esc
ária,
2007
• Widespread use of large (>300 seats) subsonic aircraft which are quiet enough to take off and land at
night from airports in populated areas;
• International development of new air traffic management methods, technologies and standards to
greatly increase safely the throughput capacity of European airspace;
• Commercial introduction of a quiet form of air transport for passengers or freight which does not
require large scale airports or ground based facilities;
• The direct operating cost per passenger aircraft is halved by measures which increase aircraft
productivity and reduce aircraft first cost, and the cost of fuel, maintenance and crew;
In this case, these and other statements included in the project were then analyzed by experts who had to, for each of the statements, rank their own
level of knowledge of the subject (“expert”, “knowledgeable”, “familiar”, “casually acquainted” or “unfamiliar”), predict the period in which the event /
development would occur ("before 2010", "between 2010 and 2019", "2020 or beyond" or "never"), analyze the impact on wealth creation (“highly
beneficial”, “beneficial”, “neutral” or “harmful”) and quality of life (“highly beneficial”, “beneficial”, “neutral” or “harmful”), the need for collaboration
(“none”; “within UK”; “with EU” or “global”), and to provide their view on any limitations on its occurrence in the UK (hypotheses available: “social /
ethical acceptability”; “technological feasibility”; “industrial / commercial capability”; “lack of funding”; “economical viability”; “regulatory / policy /
standards”; and “educational / skill base”).
FORMULATION OF DELPHI STATEMENTS
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EXAMPLE 1 – UK TRANSPORT DELPHI SCOREBOARD
50António Alvarenga
EXAMPLE 2
JAPAN - TECHNOLOGY FORESIGHT SURVEYS
(NISTEP)
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Ano de Implementação N.º de Domínios Tecnológicos
N.º de Tópicos
Horizonte temporal
Respostas efectivas
1º Questionário 1970-1971 5 644 1971-2000 2482
2º Questionário 1976 7 656 1976-2005 1316
3º Questionário 1981-1982 13 800 1981-2010 1727
4º Questionário 1986 17 1071 1986-2015 2007
5º Questionário 1991 16 1149 1991-2020 2385
6º Questionário 1996 14 1072 1996-2025 3586
7º Questionário 2000 16 1065 2001-2030
Alterações na Cobertura dos Questionários de Prospectiva
Tecnológica (NISTEP) no Japão
Seya, 2000.
Scoreboard of the 7th Technology Foresight Survey - NISTEP
Source: NISTEP, 2001.
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Interpretation of graphs relating to the period of expected realization
Source: NISTEP, 2001.
54António Alvarenga
EXAMPLE 3THE “EurEnDel”
PROJECTSourc
e:
EurE
nD
el, F
inal Report
2004
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55António Alvarenga
Research
focus
Brainstorming: what will be the
main drivers of future energy
demand in Europe - 2030
15 “problem fields”
Formulation of possible drivers
for each “problema field”
(literature review)
Cross impact analysis:
identification of drivers of
change
Proposal of Delphi questionnaire: statements definition
Analysis of Foresight and
Delphi Surveys
Technological trends and
trajectories
THE “EURENDEL” PROJECTWORK SCHEME FOR THE DEVELOPMENT OF THE DELPHI STATEMENTS
Sourc
e:
Alv
are
nga,
Carv
alh
o a
nd
Esc
ária
(2007) –
ela
bora
ted
base
don
EurE
nD
el, F
inal Report
(2004),
adapt.
1. Future Energy Demand . increase vs.
efficiency gains
2. Transport and mobility
3. Spatial movements
4. Grid development
5. Renewables’ fate
6. Carrier fuels and storage technologies
7. Hydrocarbon Bottleneck
8. Nuclear power
9. Power play in the energy market
10. Energy price and taxes
11. Future social relations
12. The future of work
13. Demographic trends
14. Technological progress
15. Environmental Restraints and
Objectives
56António Alvarenga
up2you
DELPHI METHOD
» elaborate 2 statements (in groups) and
bring them to next week’s practical class(focus of the exercise: “the future of manufacturing)
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29
57António Alvarenga
TECHNOLOGY ROADMAPPING
58António Alvarenga
”A Roadmap is an extended look at the future for a chosen field of enquiry composed from the
collective knowledge and imagination of the brightest drivers of change in that field.
Roadmaps communicate visions, attract resources from business and government, stimulate
investigations and monitor progress. They become the inventory of possibilities for a particular
field…”
Robert GALVIN, Chairman and CEO of Motorola, “Science Roadmaps”, Science, Vol.280, p. 803, May 8 1998
TECHNOLOGY ROADMAPPING
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30
59António Alvarenga
“Technology roadmapping is a flexible technique that is widely used within
industry to support strategic and long-range planning.
The approach provides a structured (and often graphical) means for exploring and
communicating the relationships between evolving and developing markets,
products and technologies over time.
It is proposed that the roadmapping technique can help companies survive in
turbulent environments by providing a focus for scanning the environment and a
means of tracking the performance of individual, including potentially disruptive,
technologies.
Technology roadmaps are deceptively simple in terms of format, but their
development poses significant challenges. In particular the scope is generally
broad, covering a number of complex conceptual and human interactions.”
(Phaal, Farrukh, Probert, 2004)
60António Alvarenga
Elements of a Roadmap
Nodes and connections...
... ... with quantitative or qualitative attributes.
Sourc
e: S
ari
tas, 2006
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31
61António Alvarenga
Roadmaps formats
One picture explains
more than 1000
words
Sourc
e: S
ari
tas, 2006
62António Alvarenga
Investment in low carbon technologies in the EU 27: the Technology Roadmap
Sou
rce:
Eu
rop
ean
Co
mis
sio
n, S
ET P
lan
–A
Tec
hn
olo
gyR
oad
map
, 200
9
- - .
17/11/2015
32
63António Alvarenga
Sourc
e: P
haal, F
arr
ukh, P
robert
, 2004
TECHNOLOGY ROADMAPPING: FUNCTIONS AND FORMATS
64António Alvarenga
Scenarios
Creativity and
Innovation
Scanning and
Sensing “Factors”
Scanning and Sensing “Actors”
StakeholderAnalysis
RolePlays
Strategic Groups
IdeasCombat
Actors’ Game
WarGames
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33
65António Alvarenga
STRATEGIC GROUPS
66António Alvarenga
STRATEGIC GROUPS
Definition
Group of companies in an industry following the same strategy or a similar strategy along the strategic dimensions (Porter, 1980, p.129).
Key historical references: Hunt, M. (1972) "Competition in the Major Home Appliance Industry", doctoral dissertation, Harvard University, 1972.Porter, M. (1980) Competitive Strategy, Free Press, New York, 1980.
17/11/2015
34
67António Alvarenga
Handicraft / local
Flexibilized
No definedstrategy
Cost / Qualitystrategies
Differentiationstrategies:
product
Differentiationstrategies:- concept
- distribution
Massified
Focused(Niche)
S
U
P
P
L
Y
STRATEGY
Structural and
decorative
Structural and floors
Decorative
Horeca
Floors
Structural,
Floors
Utilitarian
Floors
Utilitarian,
and
decorative
Sanitary
Technical
and
refractory
Floors
Utilitarian
and
decorative
1
2
3
4
5
6
7
Ceramics industry in Portugal Strategic Groups
Sourc
e: In
ofo
r, 2
000.
68António Alvarenga
1
24
3
5
6
7
Ceramics industry in Portugal Strategic Groups – Scenario "Network Ceramics"
7
Handicraft / local
Flexibilized
Massified
Focused(Niche)
S
U
P
P
L
Y
No definedstrategy
Cost / Qualitystrategies
Differentiationstrategies:
product
Differentiationstrategies:- concept
- distribution
STRATEGY
Structural,
Floors
Utilitarian
Technical
and
refractory
Floors
Utilitarian
and
decorative
Structural and
decorative
Structural and floors
Decorative
Horeca
Floors
Floors
Utilitarian,
and
decorative
Sanitary
Sourc
e: In
ofo
r, 2
000.
17/11/2015
35
69António Alvarenga
1
24
Ceramics industry in Portugal Strategic Groups – Scenario "Weak Strategic Movements"
3
5
6
7
Handicraft / local
Flexibilized
Massified
Focused(Niche)
S
U
P
P
L
Y
No definedstrategy
Cost / Qualitystrategies
Differentiationstrategies:
product
Differentiationstrategies:- concept
- distribution
STRATEGY
Structural,
Floors
Utilitarian
Technical
and
refractory
Floors
Utilitarian
and
decorative
Structural and
decorative
Structural and floors
Decorative
Horeca
Floors
Floors
Utilitarian,
and
decorative
Sanitary
Sourc
e: In
ofo
r, 2
000.
70António Alvarenga
MACTOR
ANALYSIS OF THE ACTOR’S GAME
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71António Alvarenga
» Méthode ACTeurs, Objectifs, Rapports de force» Método ACTores, Objetivos, Relações de Força
(MACTOR)
72António Alvarenga
The MACTOR Method
Aim
The MACTOR method of analyzing actors' games seeks to gauge the balance of power between actors and study their convergences and divergences
when faced with a certain number of associated stakes and objectives.
By means of this analysis, the MACTOR method aims to assist in making decisions so that actors can implement their alliances and conflicts policies.
Description of the method
The MACTOR method comprises seven phases:
• Phase 1 : Constructing the table of actors' strategies
The construction of this table involves the actors who control the key variables generated from the structural analysis. The interaction of these driving
force actors explains the evolution of the variables ordered. The ideal number of actors is between 10 and 20.
The information gathered about the actors is set out in the following way:
•First, an identity card for all actors is made : their objectives, goals, projects under way and maturing (preferences), their motivations, constraints and
internal means of action (coherence), their past strategic behaviour (attitude);
•Second, the means of action that actors have at their disposal to use on others to achieve their objectives is examined.
Sourc
e: htt
p:/
/en.lapro
spective.f
r/, consult. 2015
17/11/2015
37
73António Alvarenga
The MACTOR Method
• Phase 2 : Identifying strategic stakes and associated objectives
The meeting of actors according to their goals, projects and means of action brings out a certain number of strategic stakes on which actors have
convergent or divergent aims.
• Phase 3 : Positioning the actors in relation to objectives and identifying convergences and divergences (simple position)
During this phase, the attitude of each actor in respect to each objective must be described in a actors x objectives matrix by indicating agreement (+1),
disagreement (-1) or neutrality (0).
In order to compile a list of sets of possible alliances and conflicts, the MACTOR method specifies the number and objectives over which the actors, in
pairs, converge or diverge.
First, two complete diagrams of convergences followed by possible divergences are made. They enable one to visualize the groups of actors that have a
convergence of interest, to assess the degree of apparent freedom, to identify those actors who are potentially the most threatened and to analyze the
stability of the system. The following diagram therefore illustrates the absence of common objectives between the Paris Airport, for example, and its
administrator, the State.
• Phase 4 : Ranking the objectives for each actor (valued positions)
The previously constructed diagrams remain fairly elementary since they take into account only the number of convergences and divergences of
objectives between actors. To bring the model nearer to reality, one must also take into account the hierarchy of objectives for each actor. The intensity
of each actor's positioning is thus evaluated using a specific scale.
• Phase 5 : Evaluating the balance of power between actors
A matrix of direct influences between actors is constructed using a strategic table of actors by analysing each actor's means of action. Balance of power
is calculated by the MACTOR software package, taking both direct and indirect means of action into account, e.g., an actor being able to have an
influence on another through a third person.
An influence-dependence plan of the actors is then made. Analysis of the balance of power between actors represents the strengths and weaknesses of
each actor, their blocking possibilities, etc.
Sourc
e: htt
p:/
/en.lapro
spective.f
r/, consult. 2015
74António Alvarenga
The MACTOR Method
• Phase 6 : Incorporating the balance of power into the analysis of convergences and divergences between actors
To say that an actor has twice as much weight as another in overall balance of power implicitly gives double weight to his/her involvement in the
objectives that interest him/her. Indeed the goal of this stage consists in incorporating all the actors balance of power into the intensity of their positioning
in relation to the objectives.
New diagrams of possible convergences and divergences between all actors can thus be obtained. The comparison between the series of diagrams
enables one to observe how potential alliances and conflicts become deformed by taking account of the hierarchy of objectives and the balance of power
among actors.
• Phase 7 : Formulating strategic recommendations and key questions for the future
The MACTOR method brings to light the interplay of potential alliances and conflicts among actors and in this way helps formulating key questions for
prospective and strategic recommendations. For example, the method helps to question the evolution of the relationships between actors, the
emergence and disappearance of actors, role changes, etc...
Usefulness and limitations
One advantage of the MACTOR method is that it works for a wide range of strategies involving several actors using a series of stakes and associated
objectives. In this, it is different from research coming from game theory which often results in the construction of models which can be applied but are
not applicable. Nevertheless, significant progress may be made through a closer relationship between the concepts of game theory and the MACTOR
method.
The MACTOR method contains a certain number of limitations concerning the gathering of necessary information. A certain reticence on the part of the
actors may be observed when they are asked to reveal their strategic projects and external means of action. There is the insurmountable element of
confidentiality (one can nevertheless cross-check the data). Furthermore, representing an actor game on the basis of this method presupposes
consistent behaviour on the part of each actor in relation to the outcome, which is often contradicted in reality. In terms of tools, MACTOR software
currently requires only two tables of data from which several pages of result listing and diagrams can be obtained. Yet, this is the main danger that lies in
wait for MACTOR’s users seduced, even carried away by the tide of results and comments generated, they forget that everything depends on the quality
of the input data as well as the ability to pick out the most relevant results.
Sourc
e: htt
p:/
/en.lapro
spective.f
r/, consult. 2015
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38
75António Alvarenga
MACTOR
Actors strategy table (projects and means of action) » power relations and positions;
Support / opposition to certain scenarios (» MORPHOL);
MACTOR «» MORPHOL(definition of the questions “to be asked" to the actors » definition of the resulting configurations of the key variables).
La Prospective ToolsAn Integrated and Modular Method
76António Alvarenga
MACTOR SOFTWARE – A QUICK GUIDED TOUR
(MACTOR FILE available in fénix - “save link as…” » open MACTOR » open file)
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39
77António Alvarenga
STAKEHOLDER ANALYSIS
78António Alvarenga
Stakeholders
Parties whose interests are affected, positively or
negatively, by the implementation of the project.
They are able to influence, positively or
negatively, the implementation of the project
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40
79António Alvarenga
Stakeholders positioning
Mitchell e
t al.
(1997),
quot.
in K
eenan
& S
arita
s,
2006
80António Alvarenga
Asia Consumer
s
Lagger
s
Major
carriers
Squea
ky
wheels Employe
rs
Europe
Content
providers Venture
capitalists
Early
adopters
Disabled
access
groups
Defence/natio
nal security Regulat
ors Medi
a
United
States Standards
bodies
Employee
s
National
Governm
ent
Aged
Criminal
element
Environmen
t lobby
Law
enforceme
nt
Consumer
representativ
e groups
Trade
unions
Yout
h
Service
aggregat
ors
Parliament
Vendors
Broadcaster
s
Research
institution
s
Niche
players
(carrier) Followers
2004a L e s s s u b j e c t t o p r e s s u r e f r o m o t h e r s S u b j e c t t o p r e s s u r e f r o m o t h e r s
Infl
ue
nti
al
Le
ss
In
flu
en
tia
l
Luddit
es
ACA,
2004,
adapt.
STAKEHOLDER ANALYSIS
Dominant Actors Relay Actors
Autonomous ActorsDominated Actors
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41
81António Alvarenga
Asia Consumer
s
Lagger
s
Major
carriers
Squea
ky
wheels Employe
rs
Europe
Content
providers Venture
capitalists
Early
adopters
Disabled
access
groups
Defence/natio
nal security Regulat
ors Medi
a
United
States Standards
bodies
Employee
s
National
Governm
ent
Aged
Criminal
element
Environmen
t lobby
Law
enforceme
nt
Consumer
representativ
e groups
Trade
unions
Yout
h
Service
aggregat
ors
Parliament
Vendors
Broadcaster
s
Research
institution
s
Niche
players
(carrier) Followers
2004a L e s s s u b j e c t t o p r e s s u r e f r o m o t h e r s S u b j e c t t o p r e s s u r e f r o m o t h e r s
In
flu
en
tia
l
Le
ss
In
flu
en
tia
l
Luddit
es
STAKEHOLDER ANALYSIS
Sourc
e:
AC
A, 2004
82António Alvarenga
Communities
of interest
Brands
Terrorists
Major
carriers
Europe
Content
providers
Venture
capitalists
Disabled
access groups
Defence/national
security
Broadcasters
Media
United
States
National
government
Aged
Parliament
Virtual
entities
Environment
lobby
Virtual
identities
Trade
unions
Research
institutions
Virtual
regulations
Self regulation
Employers
Consumers
Pacific
Global
Business
Tech savvy
Asia
regional
alliances
Opt outs
Niche
Business
Peer-to-peer
network
Middle
aged
International
fora
Certifiers
Communications
service providers
Information
services agents
Regulators
Standards
bodies
Utilities
Youth
Legal
systems
Vendors
Devices
Industry
representative
organisations
Service
aggregators
2020a L e ss subj e ct t o pr e ssur e f r o m ot he r s Subj e ct t o pr e ssur e fr om ot he r s
In
flu
en
tia
l
Le
ss
In
flu
en
tia
l
STAKEHOLDER ANALYSIS
Sourc
e:
AC
A, 2004
17/11/2015
42
83António Alvarenga
Virtual
identities
Brands
Terrorists
Major
carriers
Squeaky
wheels
Vendors
Europe
Content
providers
Venture
capitalists
Early
adopters
Disabled
access groups
Defence/national
security Broadcasters
Media
United
States Standard
s bodies
National
government
Youth/Aged
Service
aggregators
Parliament
Asia
Virtual
entities
Private
Media
Criminal
element Environment
lobby
Law
enforcement
Consumer
representative
groups
Trade
unions
Research
institutions
Niche players
(carrier)
Laggers
Employees
Employers
Consumers Followers
2004b L e ss subj e ct t o pr e ssur e f r o m ot he r s Subj e ct t o pr e ssur e fr om ot he r s
In
flu
en
tia
l
Le
ss
In
flu
en
tia
l
Luddites
STAKEHOLDER ANALYSIS
Sourc
e:
AC
A, 2004
84António Alvarenga
Brands
Terrorists Major carriers
Europe
Content
providers
Venture
capitalists
Disabled
access groups
Broadcasters
(FTA)
Media
United
States
National
government
Aged Parliament
Environment
lobby
Research
institutions
Virtual
regulations
Self regulation
Pacific
Consumers
Generation Y
Global
Business Tech savvy
Private
media
Defence/national
security
Niche
Business
Non-influential
communities
of interest
International
fora
Certifiers Communications
service providers
Information
services agents
Regulators
Standards
bodies
Utilities
New Youth
Legal
systems
Vendors
Devices
Industry
representative
organisations
Service
aggregators
Asia
Trade
unions
Peer-to-peer
network
Opt outs
Employees
Employers
Regional
alliances
2020b L e ss sub j e ct t o pr e ssur e f r o m o t he r s Subj e ct t o pr e ssur e f r o m o t he r s
In
flu
en
tia
l
Le
ss
In
flu
en
tia
l
STAKEHOLDER ANALYSIS
Sourc
e:
AC
A, 2004
17/11/2015
43
85António Alvarenga
References
• Wageningen University and Research Centre, International Centre for Integrated assessment
& Sustainable development, Multi-stakeholder Processes resource Portal, MSP Resource
Portal, http://www.wageningenportals.nl/msp/.
• Vision 20/20: Communications Futures - Implications for Regulation, Final Report, Australian
Government – Australian Communications Authority; International Road Test 2004,
http://www.acma.gov.au/webwr/_assets/main/lib306/vision%202020%20final%20report.pdf.
STAKEHOLDER ANALYSIS
86António Alvarenga
SCENARIOS (Planning and Thinking)
Scenarios (T13)
Scanningand
Sensing“Factors”
Creativityand
Innovation
Scanningand
Sensing“Actors”
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44
1st SEMESTER, 2015/2016 DECISION SUPPORT MODELS, DEPARTMENT OF ENGINEERING AND MANAGEMENT 87
MAIN “SCHOOLS” AND SCENARIOS METHODS
• The Intuitive-Logics School (T13 + P04)
• Michael Porter’s Industry Scenarios (T13)
• The Probabilistic Modified Trends School (T13)
• La Prospective ( T12 + T13 + T14 + L05)
88António Alvarenga
STRATEGIC
FORESIGHTDesign
Organization
Scanning
Interpretation
Anticipation
Visioning
Planning
Action
Adapte
d f
rom
Hin
es,
Bis
hop,
2006
•Attitudes towards the future
• Audience (client(s); Decision
makers, stakeholders, ...)
• Rationales and objectives
• Focus and Time Horizon(s)
• Team and Experts
• Work Environment
•Structure and System
• Retrospective
• Actors vs Factors
• Scanning the
Environment
• Mobilization
(colleagues and
outsiders)
• Drivers and Uncertainties
• Diverge - Generate ideas
• Converge - Rank ideas
• Alternative Futures
• Identify Implications
• Challenge Mental Models
• Think in a Visionary Way
• Appropriation
• Think Strategically
• Develop Strategic Options
• Report results
• Agenda for Action
• Intelligence and Monitoring System
• "Institutionalize" Strategic Thinking