DA8000 Governance and Development in Globalized Context
Term Paper
Scenario Planning: An Instrument for
Modern Public Administration
Mr. Kan Yuenyong (6220131004)
National Institute of Development Administration
Graduate School of Public Administration
PhD, Doctor of Philosophy Program in Governance and Development (International)
“The Greeks had an appropriate term for ‘Things’: πράγµατα – that is to say,
that which one has to do with in one’s concernful dealings (πρᾶξις). But
ontologically, the specifically ‘pragmatic1’ character of the πράγµατα is just
what the Greeks left in obscurity; they thought of these ‘proximally’ as ‘mere
Things’. We shall call those entities which we encounter in concern
“equipment”. In our dealings we come across equipment for writing, sewing,
working, transportation, measurement. The kind of Being which equipment
possesses must be exhibited. The clue for doing this lies in our first defining
what makes an item of equipment—namely, its equipmentality.” (Heidegger,
1962: 96-97)
Keyword: Scenario Planning, Deliberative Policy Analysis, Inclusive Policy Design, Public
Participation, Governance, Think Tank.
Abstract: Of which an emergence of deliberative participatory governance and inclusive policy
design (IPD) as parts of evolution in public administration’s body of knowledge, this paper will
demonstrate that “scenario planning”, although been practiced in some quarters of public
administration and policy making process, should be recognized as a vital instrument applied in
the contemporary policy making process. The paper will unveil three major driving forces: an
evolution of governance, design technology and a paradigm shift in epistemology of public
administration as a backdrop of this transformation. Although there is a proposal to suggest think
tanks, a de facto track II player as an intermediary between the governmental agencies (track I)
and grassroots organizations (track III), as an important actor in policy circle should adjust itself
to capture the changing phenomenon into a modern modification called Think Tank 2.0 or for short
TT2.0 such as to equip itself with post-positivist research methodology, it should also consider
scenario planning to be its major alternative. Nevertheless, collective actions by our reflective
behavior such as to equip with better instruments will push unintended acceleration in the changing
process even more, therefore based on findings in this paper, it will also point out the next
1
The Greek word, πράγµατα or “pragmata” does mean “things”, for a discussion of “pragmatism” in public
administration please consults Shields (2008: 205-221).
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generation think tank and its possible updated equipment to be exploited in the future to be further
considered.
1. Introduction
Change is ordinary and inevitable, but we have faced more and more radical and faster
transmogrification in our time. Some scholar such as Raymond Kurzweil has popularized a term
“singularity” (abbreviate for technological singularity2) as the point that a fast pace of change by
disruptive technology will reach to an uncontrollable and irreversible point that it may generate an
unforeseeable impact to human civilization development. One possible scenario is an emergence
of “Artificial General Intelligence” (AGI) that can regenerate and rebuild machine’s intelligence
by itself and no longer require any intervention from human being to make any improvement and
thus can process a thinking capacity beyond a collective cognition of human being. This is made
possible by an exponential growth of technological capacity such as a double of number of
components per integrated circuit in every 18 months predicted by Gordon Moore as “Moore’s
law”:
“We are now in the early stages of this transition. The acceleration of
paradigm shift (the rate at which we change fundamental technical
approaches) as well as the exponential growth of the capacity of
information technology are both beginning to reach the ‘knee of curve,’
which is the stage at which an exponential trend becomes noticeable.
Shortly after this stage, the trend quickly becomes explosive. Before the
middle of this century, the growth rates of our technology – which will be
indistinguishable from ourselves – will be so steep as to appear essentially
vertical. From a strictly mathematical perspective, the growth rates will still
be finite but so extreme that the changes they bring about will appear to
rupture the fabric of human history. That, at least, will be the perspective
of unenhanced biological humanity.” (Kurzweil: 2005, 9).
During this intermediate period before reaching such “singularity”, multiple chaotic events
appear to our naked eye in our time such as Trump’s victory in US election, Brexit, a trade war
between China and the US and also a pandemic of Covid-19 cast a cloudy vision ahead, therefore
some scholars such as Army War College’s documents has firstly cited an acronym “VUCA”,
abbreviated for “Volatility, Uncertainty, Complexity and Ambiguity), the term is popularized to
2
Although most people may be familiar with term “Industry 4.0”, firstly originated from the Federal Ministry of
Education and Research in Germany, to explain a broader concept of disruptive technology focuses on automation,
internet of things (IoT) and information technology, however this “singularity”, a more academic term than
“Industry 4.0”, has covered a broader scope in scientific development such as computers, genetics, nanotechnology,
robotics and artificial intelligence, but it can be finally deducted into a single factor of “exponential growth” in
computation power that contributed back to an exponential growth in related fields and thus will reinforce such
growth further. Actually, “Technological singularity” was first coined in “The coming technological singularity:
How to survive in the post-human era” by Verner Vingein with the symposium “Vision 21: Interdisciplinary Science
and Engineering in the Era of Cyberspace” held at Holiday Inn in Westlake, Ohio on March 30-31, 1993, see
https://ntrs.nasa.gov/search.jsp?R=19940022855, retrieved on July 7, 2020.
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explain such a complex phenomenon driven by a fast pace of change as described above nowadays.
The term has been popularized and been widely adopted in management science3.
It isn’t unusual that scientific explanation has now been challenged from both its
epistemology (see section 2) and its emerging of a new paradigm to absorb new realities and
findings as we see such as Capra (1983, 74) has started to raise a question on a legitimacy of
contemporary scientific concepts such as Descartes’ and Newton’s.
“At the end of the nineteenth century Newtonian mechanics had lost its role
as the fundamental theory of natural phenomena. Maxwell’s
electrodynamics and Darwin’s theory of evolution involved concepts that
clearly went beyond the Newtonian model and indicated that the universe
was far more complex than Descartes and Newton had imagined.
Nevertheless, the basic ideas underlying Newtonian physics, though
insufficient to explain all natural phenomena, were still believed to be
correct. The first three decades of our century changed this situation
radically. Two developments in physics, culminating in relativity theory and
in quantum theory, shattered all the principal concepts of the Cartesian
world view and Newtonian mechanics. The notion of absolute space and
time, the elementary solid particles, the fundamental material substance,
the strictly causal nature of physical phenomena, and the objective
description of nature – none of these concepts could be extended to the new
domains into which physics was now penetrating.”
This is also in line with a suggestion to reinvent a new knowledge to pave the way for
“Post-Normal Science” (Ravetz and Funtowicz: 1999, 641-646). The proposal has been originated
from double failures of accidents in both Challenger and Chernobyl events and to provoke a new
possible body of knowledge to handle with such failures caused by contemporary science as
follows:
“The Russians cannot run a safe nuclear power system. The Americans
cannot run a reliable space-rocket system. Challenger and Chernobyl were
not 'accidents.' Both were disasters waiting to happen. Chernobyl had its
precursors at Windscale (now Sellafield) and Three Mile Island;
Challenger its successors in Titan and Delta. This is the Ch/Ch Syndrome:
the catastrophic collapse of sophisticated mega-technology resulting from
political pressure, incompetence and cover-up. […] Science, seen as
knowledge performing special social functions, will change rapidly in the
light of the Ch/Ch Syndrome. This does not mean that our civilisation will,
should, or can abandon science. Our situation is analogous to the latemedieval world described by Umberto Eco in Name of the Rose. Then,
theology and its associated erudition had lost their inspiration. The decay
was reflected in a local disaster: the monastery fire that started in the
3
U.S. Army Heritage and Education Center (February 16, 2018). "Who first originated the term VUCA (Volatility,
Uncertainty, Complexity and Ambiguity)?", http://usawc.libanswers.com/faq/84869 , USAHEC Ask Us a Question.
The United States Army War College, retrieved on July 5, 2020.
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library. In our late-modern world, science and mega-technology have
produced Challenger and Chernobyl. In our transition period as in Eco's,
the future structures of belief and of power are scarcely discernible. But
change is inevitable, as well as urgently necessary.” (Ravetz, Macgill and
Funtowicz: 1986).
With an influence of Post-Normal Science together with a revolution in “post-positivism”
by Karl Popper, it will pose an endorsement in public administration which will not only apply
quantitative but also qualitative techniques in research methodology suggested by Riccucci (2010,
47-48 and 118). We will see further that varieties of qualitative technique such as Q-methodology4
and a software for using in qualitative, quantitative and mixed methods research or Computerassisted (or aided) qualitative data analysis software (CAQDAS) such as MAXQDA5 will be in
place, but it’s not enough to capture the fast pace of change.
Scenario planning has emerged as an alternative instrument for management and foresight
practice (see section 3). It has now been adopted in public policy such as in inclusive policy design
(IPD). Boosssabong and Chamchong (2020, 95-117) have suggested various instruments such as
21st Century Town Meeting, Citizens’ Jury, Consensus Meeting and Planning Cell, Deliberative
Polling, Participatory Budgeting, Foresights/Scenario Planning, Online Space and Open
Collaboration. In their book, “Policy Market” set up at February 27, 2019, was selected as a
working instrument. The program was comprised of various techniques such as “World Café” and
“participatory mapping”, but in the end, they explained problems in the workshop such as lacking
enough participants and the workshop had been high-jacked for political campaign and political
interest by politicians (Boosssabong and Chamchong: 2020, 140). The book has placed
“inclusiveness” as its central principle. There is no rational given in the book why “inclusiveness”
should be a core principle as of their suggestion. They just gave an idea that because there is a shift
of a definition in “policy” from “policy maker”, “policy implementer”, “policy assurance” and
“policy analysis” into a broader scope of “policy design” (Boosssabong and Chamchong: 2020, 7).
This paper will give an insight that a revolution in policy design is based on three major
driving forces which are (1) epistemology: toward post positivism and post normal-science, (2)
design technology and deliberative design (Simonsen, Jesper and Robertson, Toni: 2013) and (3)
an evolution of governance (see section 2). Of these three driving forces, the dominant force might
be evaluated based on observer’s background, but this paper in order to maintain its objective to
attain an understanding in public administration, it will focus mainly in (3). All these emerging
trends will be in line with an application with scenario planning and why “inclusiveness” is a key
in this kind of methodology in order to resolve a complexity of emerging realities. Although
Boosssabong and Chamchong (2020, 149) have listed weaknesses of scenario planning such as (1)
it can’t resolve a variety of objectives, dreams and aiming so it’s difficult to reach to a consensus
and thus ending with selling a “sweet dream”, and (2) thinking about a future will end up with
4
See “Q methodology: A sneak preview by Van Exel, N. Job A. & de Graaf, Gjalt (2005),
https://qmethodblog.files.wordpress.com/2016/01/qmethodologyasneakpreviewreferenceupdate.pdf, retrieved on
June 4, 2020.
5
See “Online Manual – MAXQDA 2020” at https://www.maxqda.com/help-mx20/welcome, and reviews of other
CAQDAS packages at https://www.surrey.ac.uk/computer-assisted-qualitative-data-analysis/resources/choosingappropriate-caqdas-package, retrieved on June 4, 2020.
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“future trap” with an ignorance to handle with a legacy problem from the past. This paper will
demonstrate that these assumptions are fallacious. Scenario planning, if uses rightly, can resolve
problems suggested by their “Policy Market” workshop either.
Scharmer (2016, 16) also suggests in his book that a new science is needed to resolve the
contemporary problem6:
“Twenty-three hundred years ago, Aristotle, arguably the greatest pioneer
and innovator of Western inquiry and thought, wrote in Book VI of his
Nicomachean Ethics that there are five different way, faculties, or
capacities in the human soul to grasp the truth. Only one of them is science
(episteme). Science (episteme), according to Aristotle, is limited to the
things that cannot be otherwise than they are (in other words, things that
are determined by necessity). By contrast, the other four ways and
capacities of grasping the truth apply to all the other contexts of reality and
life. They are art or producing (techne), practical wisdom (phronesis),
theoretical wisdom (Sophia), and intuition or the capacity to grasp first
principles of sources (nous). So far the primary focus of our modern science
has been, by and large, limited to episteme. But now we need to broaden
our view of science to include the other capacities to grasp the truth,
including applied technologies (techne), practical wisdom (phronesis),
theoretical wisdom (sophia), and the capacity to intuit the sources of
awareness and intention (nous). (my own emphasize)”
As Heidegger’s interpretation when he saw Van Gogh’s a pair of shoes painting on
exhibition in Amsterdam in 1930, “In the shoes vibrate the silent call of the earth, its quiet gift of
the ripening grain and its unexplained self-refusal in the fallow desolation of the wintry field”, an
equipment (or instrument) is an intermediary between man and the world he lives upon as
suggested by Heidegger (2008), “equipment has a peculiar position intermediate between thing
and work, assuming that such a calculated ordering of them is permissible”, we can also view
scenario planning as an “equipment” beyond “science” (episteme) used by “policy maker” or
“policy designer” to access to “techne”, “phronesis”, “sophia” and “nous” 7 to response to
contemporary challenges.
We will see, for example, that Li (2015, 16) has introduced Think Tank 2.0 (TT2.0) to
employ “equipment” such as “post-positivist policy analysis” to satisfy an emerging context on a
mission to “supporting public participation process, promoting deliberation and consensus
6
Scharmer has concluded his message concisely on his Theory U introductory, please see more information at
https://www.youtube.com/watch?v=gF8wV9OlUHc , retrieved on July 7, 2020.
7
‘In Ancient Greek the word praxis (πρᾶξις) referred to activity engaged in by free people. The philosopher
Aristotle held that there were three basic activities of humans: theoria (thinking), poiesis (making), and praxis
(doing). Corresponding to these activities were three types of knowledge: theoretical, the end goal being truth;
poietical, the end goal being production; and practical, the end goal being action. Aristotle further divided the
knowledge derived from praxis into ethics, economics, and politics. He also distinguished between eupraxia
(εὐπραξία, "good praxis") and dyspraxia (δυσπραξία, "bad praxis, misfortune"’. See
https://en.wikipedia.org/wiki/Praxis_(process)#Origins, retrieved on June 4, 2020.
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building”. Think tank should be recognized as an important actor8 in policy making process. This
issue will be discussed in details in the last section.
2. Deliberative Participatory Approach in Public Administration Evolution
Nicholas Henry (2016: 48), in his sixth paradigm (governance: 1990 – present), has
mentioned “the rise of governance” as of witness by “more than 800 empirical studies” display a
shifting from “hierarchical government” toward “horizontal governing” (Hill and Lynn: 2005).
When asking about a definition of “governance”, Bidhya Bowornwathana (1997, 295-302)
provides four critical questions to define the “new democratic governance” paradigm which are
“1) What should government do? 2) How should government work? 3) Who should control
government? And 4) Who benefits from government?” His subsequent answer and explanation then
defines governance with four characteristics that are 1) A smaller government that does less 2) A
government with a global vision and flexibility 3) Accountable government and 4) A government
that is fair. For these extents, especially in the third characteristic, Bowornwathana has suggested
a government to be accountable to its citizens, “provision must exist for citizens to control and
monitor the use of discretionary power by bureaucrats” (Bowornwathana: 1997, 300). Although
Henry rejects governance as a panacea, neither any paradigm, as Christopher Hood (1991) did on
new public management (NPM) as of UK’s experience. Although Henry rejects that “networking”
doesn’t make any impact on governmental performance, but he praises that making partnership
with government agencies will pose positive impact more than the agencies would do
governmental work alone (Henry: 2016, 48). Brainard Guy Peters (1993: 299) has criticized
NPM’s “market approach” and instead suggests one of an alternative view on “the participatory
state”. This also in line with a suggestion from Rhodes (1996: 662) that one definition of
governance should be as self-organizing networks, “As networks multiply, so do doubts about the
centre’s capacity to steer. Kettl argues that, as a result of contracting-out, government agencies
found themselves ‘sitting on top of complex public-private relationships whose dimensions they
may only vaguely understand’. They had only ‘loose leverage’ but remained ‘responsible for a
system over which they had little real control’.” From this evolution, we will see how legitimacy
and popularity on participatory framework and deliberative policy have emerged into the
governance paradigm in public administration.
Boosabong and Chamchong (2020, 9 and 18-21) have defined meanings of “inclusiveness”
as inclusion, comprehensiveness and “leaving no one behind”. They also define meanings of
“secondary-stream policy theory” that embeds a principle of “inclusiveness” as mentioned earlier
which are: (1) Pluralism, (2) Policy networks or policy communities, (3) Nudging approach (or
volunteering approach), (4) Critical policy perspective, (5) Interpretive policy approaches, (6)
Participatory policy process, (7) Deliberative policy analysis and (8) Post-modern public policy.
The evolution of policy science and a rising of governance have casted a deliberative policy
analysis as mentioned by Hajer and Wagenaar (2003, 4 and 13) and especially in the shift of
epistemological body of knowledge itself, “Key to our interpretative approach is the insight that
8
See how think tank can play an important role as a Track II initiator in “The Think Tank and Knowledge Regime
in the Southeast Asian Context” by Kan Yuenyong, TrendNovation Southeast, Issue 15.
https://issuu.com/noviscape/docs/issue15-w, retrieved on June 4, 2020.
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a certain conception of the way scientific method should proceed, and its grounding in beliefs
about epistemology, almost inevitably lead to a certain conception of society; an understanding of
how society should be organized and managed. Over the last decades the critique of positivist
policy analysis has shown that epistemological beliefs, wittingly or unwittingly, have normative
consequences for one’s political preferences.”
Li (2019) has thus mentioned Hajer and Wagenaar’s book and has pointed out that
“deliberative policy analysis (DPA) has become a new branch of post-positivist policy inquiry
since the release of a book edited by Hajer and Wagenaar fifteen years ago. The status quo of this
field, however, is not satisfactory. Particularly, there is apparent shortage of exploration on how
to apply DPA to generate insights for policy making. (my own emphasize)”
Regarding an evolution of post-positivist policy inquiry, Riccucci has mentioned that
although Kuhn might get a revolutionary idea in an epistemology of natural science when
comparing between Aristotelian and Newtonian physics (Riccucci: 2010, 22), but Riccucci has
also suggested that an idea to entertain about a paradigmatic status in public administration has
been insipid since its multidisciplinary feature.
“It draws from a host of fields or disciplines, such as political science, law,
business, sociology, and economics. Although public administration is
inexorably integrated by these recognizable parts, its multidisciplinary
nature, as Waldo maintains, prevents it from developing an ‘indisputable
paradigm and an agreed methodology.’ (Riccucci: 2010, 28)”
Instead, Riccucci has introduced a concept of “post-normal science” pioneered by
Funtowicz and Ravetz “to address the existence of societal and ethical complexities in the
environments we study. (Riccucci: 2010, 28)” Normally, post-normal science will focus more on
quality issues and it has been realized in policy circles that “in complex environment issues, lacking
neat solution and requiring support from all stake holders, the quality of the decision-making
process is absolutely critical or the achievement of an effective product in decision. (Ravetz: 1999)”
We can see a diagram to relate between a sensitivity of decision making and stake holders vis-àvis a degree of system uncertainty as follow:
Figure 1: Position of “post-normal science” compared to professional consultancy and applied science (Ravetz:
1999, 50).
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We will see from the next section that scenario planning is an instrument suitable to make
an assessment in uncertain environment (Heijden: 2005, 91 and 98). For an application of scenario
planning in deliberative framework and inclusiveness, we need to consult with Archon Fung’s
“Varieties of Participation in Complex Governance” (2006).
Fung has categorized “three dimensions of participant selection, communicative mode, and
extent of influence yields a three-dimensional space – a democracy cube – of institutional design
choices according to which varieties of participatory mechanisms can be located and contrasted
with more professionalized arrangements (Fung: 2006, 70) (my own emphasize)”. We will see
that Boosssabong and Chamchong (2020: 95-117) also mention to different types of Fung’s
democracy cube with various techniques, including scenario planning applied in respective
democracy cube.
3. Scenario Planning
Although think tank is an important actor to demonstrate how to use scenario planning or
as we seen in some quasi-government agency has already employed it such as Singapore9, also in
Thailand10 and around the world11,12, but previously, scenario planning has been exploited by the
military in war games, adopted by civil domain such as RAND Corporation during and after World
War II 13 , and was later developed by the Hudson Institute founded and enhanced further by
Herman Kahn after resigning from RAND, especially his book “The Year 2000: A Framework for
Speculation on the Next Thirty-Three Years” published in 1967 (Heijden: 2005, 3), scenario
planning is one of the most popular tool apart of “Delphi Method”, “Critical Technologies”, and
9
See Center for Strategic Futures, Strategy Group, Prime Minister’s office, Singapore,
https://www.csf.gov.sg/media-centre/publications/foresight-series , retrieved on June 9, 2020.
10
See for example, APEC Center for technology foresight http://thaist.sti.or.th/ and Innovation Foresight Institute
https://ifi.nia.or.th/en/home/ , retrieved on June 9, 2020.
11
See Searchlight Network, https://www.rockefellerfoundation.org/blog/using-foresight-surface-social-problems/ ,
retrieved on June 9, 2020.
12
More application in “strategic foresight” in governmental policy science can be found at Kuosa (2011), such as in
Finland (Kuosa: 2011, 33-46), the European Union (Kuosa: 2011, 52-56), and in old member states of the European
Union (Kuosa: 2011, 57-66).
13
We should treat “strategic foresight” (which scenario planning is one of a technique within this school of thought)
and “futures studies” separately as mentioned by Kuosa (2011, 10): “On the other hand, foresight and futures
studies have several things in contrast too. For example, the origins of the two are different. While the roots of
futures studies trace back to humanistic orientation of Futurology (1972), which will be discussed in next subchapter, the history of foresight/technocratic orientation of futures studies, traces back to military strategies and
military technology foresight which are done especially in the U.S. military’s research units and think tanks, such as
RAND (Research and Development—a mutual project of U.S. Army Air Corps and Douglas Aircraft Company) in
1940s and 1950s. To specify the approach of foresight, we can say that it attempts to be more systematic, logical,
participatory, and planning or management oriented, but less value rational in comparison to futures studies.
Strategic Foresight Group defines foresight as a combination of forecasting with insight. While forecasting requires
methodologies, generated by computers or otherwise, insight requires a deep understanding of the subject
concerned. Foresight is developed by applying forecasting methodology to insight.”
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“Technology Roadmapping” being used in the industry (Keenan: 2004: 15). Later it has been
adopted in business realm14 and inclusive public policy15 more.
To identify the deepest key driving forces in making things change, analytic framework
considering categories in Social, Technological, Economical, Environmental, and Political
(STEEP)16 will be applied to finally reach to designated mental models and to draw respective
scenarios further.
One problem for scenario planning experts would face is how to draw relationships among
those driving forces consensually founded by STEEP analytic framework identified by experience
and knowledge background of careful selected participants in the workshop. Furthermore, even
they can draw relationships, how they can ensure that emerging relationships are genuine, or
statistically paraphrasing “how we can ensure that such correlation does imply causation?” or how
we can ensure that we will not fall into a fallacy trap of cause-and-effect relationship (“cum hoc
ergo propter hoc” or “with this, therefore because of this”,) thus “correlation does not imply
causation”.
Figure 2: An example of driving forces and relationships among each other generated by PESTLEWebTM for the
Global Automotive Industry17
14
See for an example https://www.shell.com/energy-and-innovation/the-energy-future/scenarios/what-arescenarios.html, retrieved on March 27, 2020.
15
See for an example, “Publication: Health System Scenarios: Possible Futures for Health and Health Equity in USA,
2017-2030, https://reospartners.com/publications/health-equity-scenarios-usa-report/, retrieved on March 27, 2020.
16
“The STEEP analysis is often conducted by firms to get a detailed overview on what external factors determine the
trends. It also helps to predict what might happen in the future. STEEP is basically an acronym which stands for Social,
Technological, Economical, Environmental, and Political. It is also known around the world as PEST, PESTEL,
PESTLE, STEPJE, STEP, STEEPLED, and LEPEST.”, https://pestleanalysis.com/what-is-steep-analysis/ , retrieved
on March 26, 2020.
17
See https://pestleanalysis.com/pestle-analysis-of-the-automotive-industry/, picture has come from “A Graphical
Method for Exploring the Business Environment” by Rob Collins, p. 6. https://docplayer.net/28072089-A-graphicalmethod-for-exploring-the-business-environment.html , both websites retrieved on March 26, 2020.
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From common ground of central characteristic of scenario planning at STEEP analysis
framework, we can categorize scenario planning further into 3 subtypes 18 which are: (1)
Transformative Scenario Planning (both socio-economic transformation and management basis),
(2) Scientific Scenario Planning and (3) “Limited System” Scenario Methodology.
3.1 Transformative Scenario Planning
After Pierre Wack, Kees van der Heijden, a dutch economist had joined as the chief of the
scenario department, and then Joseph Jaworski in 1990. Adam Kahane had joined Shell at 1988,
and he had been dispatched to South Africa as the head of Mont Fleur scenario project in 1991.
Pieter le Roux, the left leaning intellectual had phoned Jaworski and Kahane asking for help the
opposition (ANC) to build the scenario after the releasing of Nelson Mandela and endorsing the
general election (Kahane: 2012, 15-25).
The passion of Jaworski to pursue the "desirable" scenario, rather than stay away from the
"as it is" scenario in Shell 1992 project, the idea of "transformative scenario" has emerged ever
since. Although both Jaworski and Kahane quit Shell to start their own consulting business,
18
This is a categorization based on “scenario planning” centric. For another categorization based on “foresight” centric,
it can be addressed as follow:
“Interest in Foresight from the mid-1990s on has been fueled by three converging trends:
“1. In policy development, the shift from an elite-driven / top-down to a broader, more participatory approach.
In part, this reflects desires for greater democratization and legitimacy in political processes. Also, it builds
on the increasing awareness that no single body (especially not a government agency!) can know everything
that needs to be known in order to effect desired changes. Knowledge is distributed widely, and as the world
grows more complex (through advances in science and technology, through greater social differentiation,
etc.), this is becoming ever more apparent. Decision-makers have to live with this, and develop their
intelligence-gathering methods accordingly.
“2. In strategic planning, there has been a move from a “rational” approach aimed at achieving equilibrium
and stability, to more evolutionary approaches. This is conditioned by the discovery that high levels of
uncertainty are the norm, not the exception. Economic progress seems to be more a matter of disruptive
innovations than of the pursuit of equilibrium. Qualitative changes frequently undermine the assumptions
(built into most models, for example) that we can grasp the dynamics of social and economic life on the basis
of quantitative changes within stable structures. “Long-term planning” has been discredited. But the longterm still has to be taken into account in many decisions, and planners have sought better ways of so doing.
“3. In futures studies, too, there have been several important developments. One is a shift from emphasis on
predictive approaches to more exploratory studies, and from one-off studies to more continual iterations of
the process of envisioning future challenges and opportunities. Equally important is increasing recognition
of the need to involve “users” in the process of study, rather than to present them with a vision or set of
visions of the future that descends from “on high”. Part of the reason for this is that “futures researchers”
have found that such involvement is often essential for the messages of their studies are absorbed into
policymaking in a systematic – and ongoing – way.”, European Commission Research Directorate General
(2001): A Practical Guide to Regional Foresight (FOREN). European Commission – Joint Research Centre
– Institute for Prospective Technological Studies (IPTS) (Eds.), European Communities, STRATA
Programme, pp. v–viii. ftp://ftp.jrc.es/pub/EURdoc/eur20128en.pdf, retrieved on June 20, 2020.
For another alternative categorization based on “concepts in futures domain,” please consult table 1 in Kuosa (2011:
30). This categorization can be divided based on the primary content of the concept (function A), the secondary
(function B) and the tertiary (function C) into 1) Participatory foresight, 2) Strategic foresight, 3) Corporate foresight,
4) Intelligence, 5) Horizons scanning, 6) Technological assessment, 7) Forecasting, 8) Predicting, 9) Long-range
planning, 10) Scenarios, 11) Future studies and 12) Futurology.
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Generon Consulting, together with Bill O'Brein (from Hanover Insurance) and Otto Scharmer. It
seemed they have separated from each other. Jaworski has built Generon International, Kahane to
build Reos Partner, and Scharmer to build the concept of "Theory U".
3.2 Scientific Scenario Methodology
Apart of the "socio-economic" transformation / management branch of Scenario (Shell/
Generon Consultant / Reos / Adam Kahane, Otto Scharmer, Joseph Javorski, etc), there is another
branch of scenario methodology, a future study.
This branch of methodology will not see on how to making any "social transformation",
but to observe the "driving factor" to drive the future. It's on scientific & forecasting approach.
Michio Kaku's book on "Visions: How science will revolutionize the 21st century” (1998) gives a
concise concept on how the future will evolve based on the power of the driving force of computer,
biotechnology, and quantum.
Kurzweil describes his law of accelerating returns which predicts an exponential increase
in technologies like computers, genetics, nanotechnology, robotics and artificial intelligence. He
says this will lead to a technological singularity in the year 2045, a point where progress is so rapid
it outstrips humans' ability to comprehend it.
Kurzweil predicts that the technological advances will irreversibly transform people as they
augment their minds and bodies with genetic alterations, nanotechnology, and artificial
intelligence. Once the Singularity has been reached, Kurzweil says that machine intelligence will
be infinitely more powerful than all human intelligence combined. Afterwards he predicts
intelligence will radiate outward from the planet until it saturates the universe.
3.3 “Limited System” Scenario Methodology
This is the last type of "scenario planning" method. It has been presented in the 1972 report
of The Limits to Growth by "Club of Rome"19.
At the heart of this technique is the mathematic model called "World3”. This model is quite
straightforward. It plays with six different driving factors: population, (natural) resources, food per
capita, industrial output, pollution index, and life expectancy. With the stable growth rate of global
population, it will consume "limited" natural resources and produce more pollution. At around
2030 something, it will be at the trigger point, or "point of no return". At this point, natural
resources will be consumed more than the availability of the global population, thus there will be
more population more than the available resources. After the post-trigger point, human being
welfare will dramatically decline. Life expectancy and life condition will be worse; hence the
overall population will decline.
As you may guess, the global warming advocacy group and the peak-oil theorist have
proposed the similar methodology. More population -> consume more resources -> price will rise;
More population -> produce more carbon-dioxide -> more greenhouse effect -> sea-level will rise
+ more extreme weather.
However, the impact of this report is so huge. The book itself has been sold 30 million
copies in more than 30 translations. After the publishing of the limits of growth, it has introduced
19
See https://clubofrome.org/publication/the-limits-to-growth/, retrieved on June 9, 2020.
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birth control program to various government. The intergovernmental panel on climate change
(IPCC) has been introduced in 1988, and the Kyoto protocol has been established in 1997.
Although, this is the "last type" of scenario but actually, there is a lot of types of scenario
school such as: Royal Dutch/Shell and Global Business Network, The French School, The Futures
Group, Wilson and Ralston, Lindgren and Bandhold, Reference Scenarios, Decision Strategic
International, Procedural scenarios, Industry scenarios, and Soft creative methods, etc. By the way,
I'd like to call it as "the accounting technique", or "the limited system" technique.
As our knowledge from Michio Kaku that he has mentioned various "scientific revolution".
Kaku has conducted the expert interview, or Delphi method with more than 150 scientists around
the world in the past 10 years in his writing of "Visions: How science will revolutionize the 21st
century". According to scientific revolution (especially in computer, biotechnology and quantum),
we may not face the "trigger point" as predicted in World3 model. The proof of my talking here is
the shifting of "peak oil".
Hubbert has predicted Peak Oil or depleting of oil producing at 1970, but recently, there is
more oil supply than demand. How's that happen? It's the scientific revolution of oil producing
technique, such as shale
Figure 3: An example of “World 3” depicted in “The Limits to Growth”20
So, World3 model might be the "worse" case scenario technique, while Kaku's might be
the "best" case scenario technique. The Royal Dutch/Shell technique may be the "moderate" case
scenario technique. As you will see, the Royal Dutch/Shell technique will employ the "breathing
in" process (or digesting gigantic information) for around 2 years before processing the scenario
methodology. The "transformative" scenario technique and U-process may help transform the
situation even better.
20
See https://insightmaker.com/insight/1954/The-World3-Model-A-Detailed-World-Forecaster, retrieved on June 9,
2020.
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Actually, I think the three gentlemen: Joseph Jaworski, Adam Kahane, and Otto Scharmer
have used the similar approach to resolve the complex problem. It's about (1) the learning journey,
(2) dialogue and presencing, and (3) the scenario workshop (or collective co-creation work). But
it seems Joworski will focus on (1) + (2), while Kahane will focus on (3) + (2), and Scharmer on
(1) + (3).
Jaworski will emphasize more on the leadership building capacity (or unveiling of the
inside leadership -- by servant leadership and the journey followed by Joseph Campbell's The Hero
with a Thousand Faces.
Kahane of course has focused on "transformative scenario" or applying scenario to
transform the preferred scenario, while Otto Scharmer has emphasized his "Theory U" and now
"U.Lab".
But who has invented the "Theory U"? It's hard to say. In the book, "Presence: an
exploration of profound change in people, organization, and society" (2004) by Perter Senge, C.
Otto Scharmer, Joseph Jaworski, and Betty Sue Flowers says it's Scharmer who has developed the
theory "on presencing of different levels of perception and change began to merge with Joseph's
ongoing work on 'sensing and actualizing new realities'.
While it has been mentioned at "Generon International" that it's "Generon" to develop a
process which enables teams to create breakthroughs in any field – the creation of knowledge that
changes the world as we know it. That process, now known world-wide as “The U-Process”, was
developed in response to a challenge issued by a senior officer of what became known simply as
the “Alliance”, then the world’s largest downstream organization (Shell Oil Company, Texaco and
Saudi Aramco). By the way, Otto Scharmer and MITx has opened his open courseware U.Lab at
edX .
4. Findings from past experiences in Scenario Planning
If conducted rightly, i.e. to successfully build a safe space and sense of community, a welldecided series of scenario workshop can reach to a “presencing” and can produce meaningful
scenarios to be interpreted further or to be a guidance to collaborate or making further in-depth
researches either quantitative or qualitative research. Contrary to what Boosssabong and
Chamchong (2020, 149) have listed weaknesses of Scenario Planning such as (1) it can’t resolve
a variety of objectives, dreams and aiming so it’s difficult to reach to a consensus and ending with
selling a “sweet dream”, and (2) thinking about a future will end up with “future trap” with an
ignorance to handle with a legacy problem from the past, instead scenario planning can present a
desirable scenario as well as an unpleasant alternative scenario. The participants are, therefore, can
build a consensus to reach to a desirable future. This kind of outcome can be found on my
experience at Searchlight Workshop with Institute for Alternative Futures (IAF) and Rockefeller
Foundation in New York, US during April – May 201221 and ASEAN scenario workshop at CASEAN on Thursday, October 15, 2015 (with the Heinrich Boll Stiftung)22.
21
See https://www.rockefellerfoundation.org/wp-content/uploads/Scanning-for-a-Brighter-Future.pdf, retrieved on
June 4, 2020.
22
See https://www.geopolitics.asia/post/asean-scenario-workshop, retrieved on March 27, 2020.
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Figure 4. Varieties of Future of ASEAN as of findings at ASEAN scenario workshop at C-ASEAN in Bangkok
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Figure 5. Secure livelihood as of findings at Searchlight Workshop with Institute for Alternative Futures (IAF) and
Rockefeller Foundation in New York23
Some findings, although suggests a desirable outcome, it also poses a puzzle to making an
in-depth research on respective matters. This kind of outcome can be found at on “Thailand
Scenario Workshop” to help easing political conflict in Thailand and project future scenario
pictures with 16 other partners24 such as Thai Journalists Association, Thai Broadcast Journalists
Association, Thai Health Promotion Foundation, Thai National Reform Assembly, National
Defence College Association of Thailand, Institute of Sufficiency Economy, Civicnet Institute,
Thai Research Fund, Council of University Presidents of Thailand, ‘For Thai’ Foundation, SCG
Foundation, Tourism Council of Thailand, The Boss’ Foundation, Thai Phirom Channel, CTH
cable networks, and Scenario Thailand Foundation. There were three workshops in 2013: (1) April
25–28 at Ampwa report&spa ,Samutsongkram, (2) July 4–7 at Rajawadi resort, Konkaen and (3)
August 29 — September 1 at Villa Paradi, Khao Yai, Nakorn Ratchasrima.
23
24
Ibid, Rockefeller Foundation, Scanning for a Brighter Future.
See https://www.geopolitics.asia/post/solution-talk-by-adam-kahane , retrieved on March 27, 2020.
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Figure 6. the three trajectories of river or “maenam” as of finding at “Thailand Scenario Workshop”
From the workshops, it can be concluded that Thailand has concurrently faced into three
categories, reflects the grand “tectonic shift”: (1) Economy or resources distribution, (2) Politics
and governance and (3) Society and culture. It has been addressed and included on the top-left
corner of this figure. This figure was the outcome of the final workshop. The main figure is a
solution to get out from these crises, on the beautiful mural to reflect a symbolic notion of the
country, the three trajectories of river or “maenam” (แม่ นํ 'า) and “the ship of state”, it has rightly
convinced to the top choice, “cooperate” (เราร่ วม), rather than either the middle choice, “conflict”
(เราสู้ ) or the bottom choice, “being passive” (เราเฉย) on an implication of the waterfall awaiting ahead
on both choices. Actually, the third workshop had been significantly influenced by the PDRC
movement. The motto “conflict” (เราสู้ ) was actually from the movement to convince people to join
their protest on the street and to topple the then government. Some workshop’s participant also
mentioned “the great reform” reflected some political agenda inside the PDRC movement, or
“reforms before election”, which had bypassed the demand of the grassroots, or at least an excuse
rather than a continued reform agenda by national reform council (under Dr Praves Wasee) and
another redundant national reform council (under NCPO), compared to the govenment’s
implementation, “Thai Niyom Project”, see my writing on the problem of “an addict to reform”) .
The outcome of the project was too shallow to address the real concern of the hidden psyche of
the Thai society including the challenges awaiting out there in the international context. The
momentum of the PDRCs movement, the coup and the struggle of the pro-democracy after that
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until nowadays has eclipsed the conclusion from the workshops, it has failed to conduct any
significant influence neither to convey important message to the public to guide the country out of
the crisis, different from South African Mont Fluer. Actually, this outcome just gave a clue and
more questions to require more heavy research to find out the core problem and solutions rather
than an answer. Actually, every great problem in the society requires deep research to encounter
such a huge problem. Apart of the Mont Fluer Project in 1991–92, there was also Don Edward
Beck who made more than 63 trips to South Africa between 1981 and 1988 to work with both F.
W. de Klerk, Nelson Mandela and John C. Hall a decade before the Mont Fluer. His finding was
an excellent “Spiral Dynamic Integral”. Both have carried South Africa out of the crisis under the
“proper” international context and a breakthrough movement from the local leader, Nelson
Mandela to unite the country to tackle with the problem. Furthermore, it doesn’t mean that the
finding solution will end all problem in South Africa, it will need a new guideline to address and
resolve the future problem of the country.
5. Conclusion
Instead of relying only on old methodologies used in old public administration, with an
emergence of new epistemology, policy design and deliberative governance, Li (2015, 2019) has
illustrated how these new contexts have evolved and thus an organization such as think tank will
evolve itself and exploited new instrument with this new environment in pursuing policy design.
Scenario Planning, especially a Transformative Scenario Planning should match or should be in
line with this kind of new trend of these respective contexts.
Li (2015) has defined a new kind of think tank (Think Tank 2.0, abbreviated TT2.0), its
characteristics and instruments used within the organization as follows:
“It should be noted that the organizational characters of TT1.0 and TT2.0
are quite different. TT1.0 usually operates with a fixed organizational
structure, relatively stable staff, and clear organizational boundaries. In
contrast, TT2.0 is apt to be more flexible and resilient, and its boundaries
be more blurred. The staff and other components within a 2.0 institute might
connect to each other loosely. A TT2.0 can even exist as an interorganizational alliance or a virtual organization. Furthermore, as will be
discussed in the following section, TT2.0 embraces a variety of forms in
practice. As for the resources utilized, there are no boundary constraints
for TT2.0. It could mobilize and employ both internal resources such as
expertise of its staff and external ones such as the knowledge and ability of
the public.” (Li, 2015:16)
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Figure 7.TT 1.0 external mode (Li, 2015:15)
Figure 8.TT 2.0 external mode (Li, 2015:17)
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Figure 9.A comparisons of TT1.0 vs TT2.0 external mode (Li, 2015:16)
Altogether, I’d like to make an improvement from Li (2015) into next generation think
tank. While Li (2015)’s TT1.0 is the 1st Gen Think Tank to act as a policy advocacy, TT2.0 is the
2nd Gen Think Tank to employ “post-positivism analysis”, and as this paper has suggested to use
scenario planning as an alternative instrument for participatory and inclusive policy design
framework.
TT3.0 or the 3rd Gen Think Tank in the future will be equipped with more advanced
instruments such as Big Data and Quantum computing and has a thorough geopolitical knowledge
to make a cohesion framework, well-rounded sensing of necessary information, and a fine tuning
at a global level. Some example of this kind of instrument can be demonstrated such as my own
“Covid-19 Community Mobility Reports in Thailand25” at Kaggle (data retrieved from Google26.)
Another example is applications27 on applying Google’s GDELT (The Global Database of Events,
Language and Tone28) and also GKG (Global Knowledge Graph)29 based on GDELT and Google’s
BigQuery. This should be in line with a formation of digital government trending such as a
development of digital government in Thailand30.
25
See https://www.kaggle.com/kanyuenyong/covid-19-community-mobility-reports-in-thailand, retrieved on June 4,
2020.
26
See “Helping public health officials combat COVID-19” at Google’s blog,
https://www.blog.google/technology/health/covid-19-community-mobility-reports, retrieved on June 4, 2020.
27
See https://blog.gdeltproject.org/a-compilation-of-gdelt-bigquery-demos/, retrieved on June 4, 2020.
28
See https://www.gdeltproject.org/about.html#creation, retrieved on June 4, 2020.
29
See https://blog.gdeltproject.org/google-bigquery-gkg-2-0-sample-queries/, retrieved on June 4, 2020.
30
See for example, Three-year Plan Digital Government Development,
https://www.dga.or.th/th/content/890/10417/, retrieved on June 9, 2020.
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Figure 10: “Covid-19 Community Mobility Reports in Thailand”: The dashboard graph will display
information of percentage change from baseline correspondingly as follow: (1) Mixed graphs, (2) Retail and
recreation, (3) Grocery and Pharmacy, (4) Parks, (5) Transit stations, (6) Workplaces, and (7) Residential. As
expected, all but residential are decline due to the quasi-lockdown policy, people have chosen to stay more at home.
This will inevitably impact to GDP output and it's yet to return to normal capacity.
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