Capital
Systems:
Implications for a Global Knowledge Agenda
Published
in Journal of Knowledge Management, Vol. 6, No. 4, October 2002
Francisco J. Carrillo
The author Francisco Javier Carrillo is Chairman of The World Capital
Institute
Keywords
Knowledge-based Development (KBD), Capital Systems©, Knowledge-based
Value Systems©, K-events
Abstract
This paper explores ways in which KM can enrich and be enriched by practices
associated with social-level Knowledge-based Development (KBD), thus
bridging both fields. It begins by establishing a continuity between
personal, organizational and social level KM. Social-level KBD is referred
to Economic Growth Theory in search of a complete, consistent, systematic
and inclusive framework for global development. Enter Capital Systems,
a KM framework aiming to satisfy those criteria at the organizational
level. The Capital Systems approach, originally developed as a solution
to some methodological concerns in Intellectual Capital valuation, is
described as the operationalization of a generic value structure. Such
a structure is applied to the analysis of the production or value-enhancing
dynamics underlying major economic eras throughout human history until
today's preeminence of k-based production factors. Structural constraints
in current financing for development practices are identified. Untapped
k-capital dimensions are then introduced to explore new k-based development
strategies. Finally, examples of current KBD policies are examined in
the light of this analysis and alternative strategies to systematically
identify and develop individual, organizational and capital systems
are suggested.
The
KM-KBD link
A synergistic convergence
The explosive evolution of the KM Movement has been attributed to three
economic drives which ignited amidst the expansion phase of an unprecedented
global business cycle. The drives identified (Carrillo, 1999) were i),
the need to align overwhelming information resources and technologies;
ii) the accelerating obsolence rate of labour competency; and iii) the
increasing awareness of the role of "intangible " production factors.
The business-driven origins of KM have earned it citizenship in corporate
environments. But as the KM Movement evolved from a "dispersion" to
a "contraction" to an "institutionalization" phase (Carrillo, op cit
), it found application opportunities in areas such as education, government,
international agencies, NGO's and other major kinds of human organizations.
As KM comes of age, it is evolving into a strategic management approach,
applicable to purposeful human organizations in general. The emergence
of knowledge societies has multiplied the extent to which both productivity
innovations and social transformations rely on knowledge capital. Major
international agencies such as the World Bank (1998), the UNO (2001),
the OCDE (2001) and regional development institutions like the European
Commission (2001) and the Commonwealth (Mansell, this issue) have adopted
KM frameworks.
Regardless of the level of application, the rationale for KM is basically
the same: to leverage the value-generation capacity of individuals,
groups, and organization as a whole. "Value" here is considered in a
broad axiological sense, including all criteria to determine which options
are preferred over which others. Therefore, value-generation refers
to an recognizable progress in the pursuit of the specific goals and
purposes of an individual system (personal, organizational, social).
Hence, KM processes and methods are generic to all kinds of organizations,
while KM tools and techniques can be quite specific. For instance, a
KM certification program offers dual commercial and government certification
tracks, where the KM approach is basically the same, and the difference
is one of emphasis (KMCI, 2001). Comparison between KM practices in
commerce and government, public and private suggests differences of
degree, rather than of substance (Lelic, 2002). A similar distinction
can be drawn throughout commercial organizations themselves, where differences
in KM procedural focus can be found by industry (oil, manufacturing,
consulting, finance), size (global corporations, large and medium companies,
SB's), and developmental phase (new ventures, mature business).
Consequently,
a continuum of KM concepts and approaches across the social, the organizational
and the individual domains is becoming increasingly evident. While the
status of organizational-level KM is obvious to most KM practitioners,
this is not yet so evident at the personal and social levels. The comparative
status of each of these domains is analyzed below. Indeed, the main
contention of this paper is that the scope for KM theory and practice
can be furthered to encompass all three levels and that in doing so,
KM can collaborate in a multidisciplinary effort to unleash the development
potential of individuals, organizations and societies. The main body
of the paper is devoted to substantiating this claim, with particular
emphasis on social-level KM (KBD). Table I shows the correspondence
between these three domains, the level of KM practice and the associated
label (frequently used acronym).
Table
I Social/organizational/personal domains and corresponding KM functions
and labels
|
Domain
|
Function
|
Label
|
|
Individual
|
Personal
KM
|
PKM
|
|
Organisational
|
Organisational
KM
|
KM
|
|
Social
|
Knowledge-based
|
Development
KBD
|
|
©
FJ Carrillo, 1999
|
The multidisciplinary nature of an integrated KM field is bound to contain
multiple issues which deserve attention by subject-matter specialists.
The intention of this paper is to point out enough common grounds between
KM and KBD to encourage further multidisciplinary work in this direction.
This would be of significance to both KM practitioners and specialists
from disciplines currently and potentially associated with KBD.
Personal
and social KM
Although
individual-level KM received proportionally little attention in the
early phases of the movement, it was somehow implict. An underlying
intuition is now getting wide recognition: personal development is the
building block (or better still, the living cell) of all k-based organizational
and social development. This concept was well captured by Bennis (1997):
"In the best of all possible worlds, community and individual growth
are complementary goals, not incompatible ones".
Personal development frameworks are rooted in the value base of cultures
and religions. That circumstance draws our attention to the axiological
and epistemological axes on which a particular personal development
scheme is anchored. Furthermore, psychology and other social sciences
have made significant contributions to identifying developmental patterns
in human individuals and their relation to specific cultural settings.
Those philosofical and scientific perspectives might now be inserted
into the domain of individual KM, some more obviously than others. There
is a natural correspondence, to instantiate the most obvious, between
the recent development of "Emotional Intelligence" (e. g., Goleman,
1995) and "Personal Intellectual Capital". Consider Stewart's closing
remark to his 1997 review of IC: "Intellectual capital is the source
of wealth for individuals as well as for organizations -and it is held
in common between them" (1997, p.216).
Other contributions in the psychology and sociology of knowledge are
finding their way into Personal KM -PKM, as it is becoming known. Pienaar
(1999), for example, offers a scheme for developing the personal knowledge
base. Skyrme (1999) has explored the individual bases of organizational
growth, while West (2001) has articulated the concept of "The Individual
as a Brand". More recently, Bhatt (2002) addressed the interdependencies
between individual and organizational knowledge and the distinctive
strategies required to develp each level. To judge from the growing
attention it is receiving, PKM is here to stay.
With
regard to the social level, the concept of leveraging collective development
through knowledge also has a millenial tradition. Major ancient cultures
and religions make references to the social worth of knowledge. Confucius
(c. 551-479 B.C.) is well identified as a pioneer in k-based political
economy.
Throughout
the centuries, philosophers and statesmen have sustained the view that
social investment in learning pays. But this political stand could not
be supported by empirical evidence until a few decades ago. In the course
of the second half of the 20th century, many economists, including Nobel
laureates Robert Solow and Gary Becker, provided compelling evidence
of the causal relation between social k-base and economic growth. Such
a relationship is now widely recognized. By the year 2000, all major
international development agencies and nations with the highest levels
of overall development had espoused deliberate KBD policies.
Some
of the most evident convergence points between KM and KBD have already
been addressed by Economic Growth Theory (EGT), to which we will refer
later. EGT made significant contributions well before the advent of
KM. But other contributions, perhaps less apparent, may help to determine
the social dimensions of knowledge. Take as an example the notion of
knowledge as a social construction. Actually, the field of Social Epistemology
is … "an intellectual movement of broad cross-disciplinary provenance
that attempts to reconstruct the problems of epistemology once knowledge
is regarded as intrinsically social". (The Norton Dictionary of Modern
Thought, 2001). Thus, the continuity between individual, organizational
and social levels of KM seems rather natural. It is therefore assumed
that the analyses carried out throughout this paper apply to all KM
domains regardless of the scope of the particular system under consideration.
In
seeking the implications of such continuity we will be making reference
to a specific KM approach which looks at an underlying stratus of all
three KM levels: Knowledge-based Value Systems (Carrillo, 1998). The
technical side of such conceptual approach is The Capital Systems Method.
This method, to be summarized below, was developed in a business environment.
It is therefore of intrinsic relevance to productive organizations.
Thanks to its generic value base, its applicability to non-productive
organizations is becoming increasingly evident. K-Based Capital Systems
have been applied to R&D units (CKS, 1998; Torres 2002), universities
(Barrientos, 2002) and government (Villarreal, 2002). Its further applicabillity
to regional and global settings is explored next.
Beyond
commercial globalization: from national to planetary wealth
One
of the axes of modernity was the advent of the Nation State. Adam Smith
identified The State as a prime reference to collective good and founded
the competitive characterization of national economies on this asumption.
In The Theory of the Moral Sentiments he writes,
| The state
or sovereignty in which we have been born and educated, and under
the protection of which we continue to live, is, in ordinary cases,
the greatest society upon whose happiness or misery, our good or bad
conduct can have much influence (…) When we compare it with other
societies of the same kind, we are proud of its superiority, and mortified
in some degree, if it appears in any respect below them (…) The love
of our own nation often disposes us to view, with the most malignant
jealousy and envy, the prosperity and aggrandisement of any other
neighbouring nation. (Part VI, Section III, Chap. II)
|
Smith's analysis prompts another key issue of the KM-KBD convergence.
As long as the coxistence between individuals, groups or nations is
seen as predominantly zero-sum, interaction strategies are bound to
be predominantly competitive. The former statement implies no value
judgement on competitive behavior nor a human predisposition towards
competition. In fact, from the perspective of contemporary psychology,
competition need not be seen as a predisposition, but simply as an array
of circumstances that allocates a value outcome to a particular behavior.
So is cooperation. Both cooperation and competition result when the
associated outcomes are inclusive or exclusive.
In
Smith's naturalistic analysis, rivalry amongst nations is the product
of distinctive competitive conditions. Were those condition to become
a commonwealth of interests, an outcome of benefit to mankind, then
… " In such improvements each nation ought, not only to endeavour
itself to excel, but from the love of mankind, to promote, instead of
obstructing the excellence of its neighbours. These are all proper objects
of national emulation, not of national prejudice or envy" (ibidem).
Both at the level of the individual organization (KM) and at the
social level (KBD), the above considerations are important. At the organizational
level because we are witnessing a trend towards "co-opetitive"
transaction patterns, where both competitive and cooperative schemes
contribute to maximize the value outcomes of a given system. The contribution
by Escribá-Esteve and Urra-Urbieta to this special issue explores from
a KM perspective the phenomenon of increasing inter-firm cooperation.
From
the KBD perspective, attention to supranational schemes may help circumvent
some of the dead ends in which the north-south dialogue on development
seems to be trapped. If international KBD transactions were to complement
national interests with global ones, value dynamics would change. Posmodernity
brought the transcendence of the nation state, the emergence of transnational
corporations as major economic entities and globalization. Today, several
Fortune 100 companies have as much economic output as medium-size countries.
Supranational economies left their mark in the 20th Century.
As
we advance into the New Millenium, "a reevaluation of the theory of
the multinational firm" takes shape through the emerging paradigm of
the Metanational Company: … "a company that builds a new kind of competitive
advantage by discovering, accessing, mobilizing, and leveraging knowledge
from many locations around the world" (Doz, Santos and Williamson, 2001).
Subtitled "How companies win in the Knowledge Economy", Dox et al's
book From Global to Metanational covers new ground in addressing the
distributed and k-based nature of today's economy by addressing two
key questions: How dispersed are the clusters of critical capabilities
and markets that companies need to succeed? And: How can globally dispersed
knowledge best be combined and leveraged?
From
national, to transnational, to metanational. What next? The obvious
answer is global or planetary value systems. Both terms are used here
as synonyms, for they both refer to the world as a whole: "relating
to, or involving the entire earth" and "of or affecting the entire world"
(respective entries in The American Heritage Dictionary of the English
Language). Although the use of "global" often denotes "surface area"
as in "a global company with operations in 120 countries", it is important
to stress the holistic and systemic use of global or planetary (Laszlo,
E., 2001). Amidon (in press) has advanced a framework for global collaboration
based on knowledge and innovation.
Thus,
global or planetary development will mean more than worldwide capital
flows and commercial transactions. It will mean the overall balance
of our planet as a value system. Hence, we will be looking at the following
characteristics of today's economic realities: distributed, global,
k-based, and co-opetitive. Figure 1 shows how some KM and KBD practice
fields compare with regard to their levels of molarity (from individual,
through organizational and regional, through global) and generalization
(to what extent practice rests on concrete experience or conceptual
abstraction).
Figure
1 Hypothetical molarity vs. generalization of KM / KBD practice arenas

Growth vs. Development
Sinergies between
KM and EGT may
contribute to a better understanding of KBD. Whereas EGT counts on a
substantial scientific tradition, KM can bring new insights into how
k-processes may leverage the capacity of a value system to achieve and
sustain creative balance. The Capital Systems approach aims at representing
all significant value dimensions for collective decision making.
Two characteristics
of k-capital must be emphasized at this point:
- It is not only
cummulative (stock) or transactional (circulant), but also referential
and relational. An increase in its amount or flow does not necessarily
lead to a better system balance. More is not necessarily better.
- Different forms
of capital call for different overall-worth tactics. Whereas preserving,
retaining, accumulating and mobilizing are effective stock and flow
tactics, other forms of k-capital call for other tactics.
It was precisely
the identification of new value dynamics in economic growth which led
to the emergence of 'Endogenous' or 'New' Growth Theory (NGT) as an
alternative to mainstream EGT. The 'endogenous' or 'from inside' character
of NGT arises from the consistent realization of a faster growth in
a productive system's output than what the external factors alone could
achieve. The 'new' character derives from the departure from Solow's
work in that… " the rate of technological change, and a fortiori
the rate of growth, is no longer taken as given from outside, but is
envisaged to depend on the 'behaviour' of agents that is, on their preferences
or tastes" (Kurz and Salvadori, 2002).
These insights
have awakened EGT from its relative slump in the 1970s and early 1980s
to its current boom (Kurz and Salvadori, ibid ). Some of the contributions,
notably those of Paul Romer, are of special significance for KBD and
KM in general. In his paper, "Increasing Returns and Long Run Growth,"
(1986), he proposed a model in which economic growth is driven by the
accumulation of knowledge. Therein, he identified some key differences
between knowledge and physical capital (see We, 1994 and HET, 2002,
for a summary of his views).
Gemmel (1997)
provides a non-technical review of the literature on NGT. He includes
the following remark on Romer's contributions,
Numerous models
incorporating R&D activities and the production of 'ideas' have been
developed, but Romer (1986; 1990a, b; 1993) are among the most prominent.
Romer (1990b) for example models an endogenous growth process in which
growth results directly from physical capital investment which in turn
is driven by investment in a research and development (R&D) sector
generating ideas for 'new' designs/goods. These new goods, by being
used as intermediates elsewhere in the economy, provide the driving
force behind knowledge accumulation. Romer then hypothesises that the
creation of these new designs/goods is a function of the stock, as
well as the growth, of human capital in the form of 'basic' and 'applied'
scientific knowledge acquired via higher education. Thus firms operating
in countries with a larger pool (and faster growing pool) of qualified
scientists can innovate more readily and therefore enjoy more rapid
rates of technical progress and productivity growth. (Ibid, section
2.18)
However, NGT is
far from consensual. There persists a good deal of unresolved questions
and even a lack of some fundamental definitions. More recent analyses
have raised issues which are of critical significance to any knowledge
professional. In their well-known review, Aghion and Howitt (1998) diagnose:
"we do not have any generally accepted empirical measures of such key
theoretical concepts as the stock of technological knowledge, human
capital … the rate of obsolescence of old knowledge, and so forth" (p
435).
Steedman (2001)
has pointed out the many problems that NGT faces in dealing with k-capital.
He reviews several prior warnings on the assumptions made regarding
the nature of "the stock of knowledge", to conclude: "It is certainly
and lamentably common in the NGT literature to treat the ‘stock
of knowledge’ as if it were a single magnitude with a cardinal measure,
without any justification being given for this highly dubious assumption"
(p. 2).
Despite these concerns,
NGT has already had a profound theoretical and political impact. Knowledge
professionals can benefit both from learning about the new findings
and novel interpretations of NGT, and from realizing potential contributions
to KBD from KM practice insights. For an authoritative and updated review
of the field, Solow (2000) is a must. The review by Aghion and Howitt
(1998) is more extensive and technical. Jones (1998) provides an accesible
introductory reading.
As much as there is to learn from EGT, there are several other fields
which become essential for a venture such as Global Capital Development.
Specifically, there is a convergence between the "sciences of development"
and the "sciences of knowledge" (Carrillo, 2001) into the
field of KBD. The area of convergence is largely uncharted territory.
It is important to keep in mind that both development and knowledge
refer to the whole domain of human experience and potential. Hence,
all relevant dimensions must be taken into account. That challenge underlies
the business rationale of KM as well as the human and political significance
of KBD.
The KBD challenge
A KBD Field Theory must clearly satisfy some requirements to comprehend
a Global Capital System. First of all, it must be complete: encompass
all basic domains of collective human experience contributing to a sustainable
global balance. That is, it should be radically k-based.
Knowledge is not a thing, a mere record in a medium. In its widest meaning,
it is the articulation of experience: that cultural-psychological event
by which relevant pieces of the world get connected with relevant perceptions
and actions. Knowledge consists of value-enhancing associations. Therefore,
KBD and KM are, above all, a matter of relevance or value: representing
and managing value systems.
Secondly, a KBD Field Theory must be consistent; that is, every
k-factor must be expressed in terms of the operations to determine whether
it occurs or not and in what proportion. For this purpose, quantitative
and qualitative comparisons are legitimate, provided there is awareness
of the scales in use. Some dimensions may prove to be too elusive, but
we must humbly recognize what our current level of understanding of
a value category is.
Thirdly, a KBD Field Theory must be systematic. This implies
both a formal conceptual structure and a systems perspective. Given
the complex multidimensional interrelations of k-events, insights from
Complex Adaptive Systems are valuable when dealing with KBD dimensions
such as those depicted in fig. 1.
Although many requirements seem pertinent, a fourth one is indispensable:
it must allow for diversity while achieving basic consensus; i.e.,
it must be inclusive. Premature homogeneity and artificial standarization
have limited use and can become counterproductive. In seeking global
significance, a capital system must capture first those major dimensions
which are common to all elements in the system. The UN Universal Declaration
of Human Rights is a concrete example of a consistent, operational and
inclusive subset of a global value system.
The pursuit of a global capital system also carries some risks. In an
exploration of the globalization of the KM Movement, some "potential
negative impacts" have been identified (Carrillo, 1999), including
abuses, intromissions and misappropiations. A global capital system
should assertively identify alternative and critical views (e.g.: Baudrillard,
1991; Bluden, 1998; Fuller, 2001; and Wilks, 2001).
Knowledge-based
Development
KM domains: objects, agents and contexts
In his assessment of Endogenous Growth Theory, Fine (2001) considers
amongst other critical issues " the incorporation of factors
that have traditionally been outside mainstream economics". Steedman
(2001) starts his own critical account by pointing out: "In all
too many contributions to New (Endogenous) Growth Theory though
not in all central reference is made to a stock of knowledge,
a stock of ideas, etc., this variable featuring centre-stage
in the analysis. Yet it is immediately apparent that this is far from
being a crystal clear concept".
As mentioned before, KBD may benefit as much as KM from a conceptual
and methodological collaboration. The theory and practice of KM might
provide some insights to a multidisciplinary KBD. What follows is a
summary of the foundational elements of the Knowledge-based Value
System approach which leads to the construction of k-capital systems
(Carrillo, 1998, 2001).
First, the relational nature of knowledge is emphasized: it constitutes
an event rather than a mere object or record. This realization is parallel
to the crisis that modern physics experienced by "de-materializing"
itself. It needs not imply a dualism. It involves an epistemological
shift from matter-centered to relation-centered. It sets the ground
for a continuous, homogeneous ground between "physical" and
"knowledge" capital, i.e., between material objects and their
representations. Indeed, it is difficult to see how KM and KBD could
rest on any rational grounds -including how "intellectual capital"
and "stock of knowledge" can acquire managerial and political
significance- unless such natural continuity is established.
This opens a search
for the basic elements in a "k-event" (Figure 2). First, there
is the most obvious, one with which most people identify knowledge:
the k-object or that which is known. K-objects can be things,
representations of things (images, words), people, events; actually
any portion of the perceived universe.
Second, there is the k-agent: her/him who knows. Agents in a
k-event can be human individuals, groups, and arguably animals, automata
and extraterrestrial life forms. Let us stay for the time being with
individual humans and groups. An agent /object interaction must take
place, but that is not enough for a k-event to happen.
Third, there is the k-context which provides significance, i.e.,
selects a specific agent/object interaction from potentially infinite
possibilities. This element has a referential nature, i.e., constitutes
a value or a preference criterion.
Figure
2 Three components of a knowledge event

Thus, the necessary
and sufficient elements for knowledge to take place are: an object,
an agent and a context, all of which must be "process capable",
i.e., have the qualities that enable a particular k-connection to occur.
For example, all objects must be perceivable; all agents must be active
and all contexts must be discernible.
In a simplified sense, all KM, including KBD, involves the identification
of relevant values, agent and objects in a system and their alignment.
In mainstream KM, not all three aspects have been given due attention.
During the initial years (early 1990s), most KM practice focused on
object-management activities such as yellow pages, document management,
organizational memories, and other archival, bibliographical and IT
tasks.
As early k-managers learnt, adequate user interface, motivation and
skills were critical for the effectiveness of k-bases. During the second
half of the 1990s, the transactional aspects of k-agents and objects,
such as k-transfer, collaboration, etc., received increasing attention.
Hence, flow-cycle second-generation KM models gained prominence.
Up to this point, value is attributed to knowledge in terms of its accumulation
(as in organizational memory) and distribution (as in shared practices).
Stocking and circulating become the mechanisms for capitalizing on knowledge.
Until the third element of k-events, context, is taken into consideration.
Context is the element that grants semantic status to a k-event. The
economic significance of knowledge does not become apparent until an
agent/object interaction is framed in a value context. Take any k-object
(a treasure map, a company memo, a technique description) and give a
competent agent (e.g., one proficient in the language in which the object
is recorded) access to it. Unless that agent has enough contextual elements
to adequately interpret the object and determine the proper course of
action, the value realization of that agent/object interaction will
be impaired.
Hence, the first and most critical task for managing knowledge is to
determine and operationalize the value framework of the systems whose
capacity to attain its goals are to be maximized. Value alignment become
the primordial KM function. Once the value framework is expressed into
a manageable structure -the capital system- the other two components
of k-events can be adequately selected, developed and assessed.
From this perspective, the plethora of available KM definitions can
be organized into three families. Each family is recognizable in terms
of: a) what is to be managed (the nature of knowledge); b) what is to
be maximized (the nature of management); and c) what is the consequent
approach (the nature of KM). Whereas there is a sequence in this evolution,
these three families have coexisted, albeit in very different proportions.
Object-centered KM was from the start, and still is, quantitatively
dominant, but decreasing in proportion. Agent-centered KM is emerging
with great strength and advancing rapidly. Context-centered KM, even
if anticipated in some early contributions, only now is becoming a true
alternative. Each subsequent family has subsumed the former elements.
Table II shows how each family can be identified according to the aforementioned
features: concept of knowledge, capitalization process and KM definition.
This categorization implies no value judgement as to which approach
is "best" in an absolute sense. Each approach capitalizes
on specific attributes of a k-system and is therefore valuable in specific
circumstances ("situational KM").
Table
II Three families of KM approaches
| Family of KM
approaches/Feature |
Family I:
Objet-centered |
Family II:
Agent-centered |
Family III:
Context-centered |
| Knowledge concept |
Record |
Flow |
Alignment |
| Capitalization
process |
Keeping and
accumulating stock |
Facilitating
and increasing circulation |
Attaining sustainable value balance |
| KM
definition |
KM is a tool for identifying, storing, keeping, organizing, and retrieving
the organization's k-base |
KM
is a method to identify, codify, structure, store, retrieve and diffuse
experience |
KM
is a strategy to identify, systematize, and develop the organization's
value universe |
|
©
FJ Carrillo, 1999
|
A context-centered approach aims at expressing all significant forms
of capital, including object-capital and agent-capital. Therefore, this
approach involves the following three core KM processes :
Alignment and strategic consolidation of capitals. Determining,
systematizing, and operationalizing the value universe of an organization.
Agent Capital Management. Determining and developing the value-generating
capacities of productive individuals and teams, as well as those of
the organization as a whole.
Instrumental Capital Management. Determining, implementing and
developing the optimal array of conditions and resources to leverage
the value yield of all elements in the organization.
These three KM processes and families of KM approaches can be related
to identifiable KBD policies as follows,
1st-level KBD
Distributing Instrumental Capital
Most KBD strategies start by focusing on the most immediate area of
impact: the instrumental base that would enhance the capacities of productive
agents. An example of this is the World Bank's Global Knowledge Partnership,
which is committed to
"sharing information, experiences
and resources to promote knowledge and information as tools of sustainable,
equitable development through information and communication technologies
(ICT)" (see GKP website).
In its charter, GKP claims: "Access to information and knowledge
is essential if the disadvantaged, the marginalised, and the poor are
to improve their lives and the lives of their children. GKP Partners
believe that given the opportunities to access and use ICT, people can
improve their economic well-being and empower themselves and their communities
to participate in and be responsible for their own development. Mutual
prosperity gained through effective use of information and knowledge
would contribute to a more stable and equitable world" (ibid.)
The contribution by Robin Mansell to this special issue assesses the
evidence and lessons learnt in leveraging development through instrumental
capital through ICTs. Nath (2000) emphasizes the role of ICTs in building
k-societies. The forthcoming ITU World Summit on the Information
Societies in 2003 will assess the global situation regarding ICTs
(ITU, 2002).
2nd-level KBD
Developing Human Capital
One of the earlier lessons learnt by major development agencies was
how ineffective mere fund allocation was in promoting development in
more depressed economic regions. Such capital flow involved a dual perversion
of purpose: lack of transparency in local fund management and profiteering
by contractors, often from the same donating countries. The old chinese
proverb: "do not give fish to the hungry man: teach him how to
fish" also gained increasing empirical support.
Human-capital KBD policies are now strongly favoured by NGT. Education,
self-managed learning, technology transfer, expertise assistance, experience
sharing and other forms of k-flow are now a central issue in development
programs. The Report by Gemmell (1997) provides an excellent account
of Human Capital in NGT, with special reference to Higher Education
in the UK.
Working examples of this policy approach are the WB's Global Development
Learning Network (GDLN) and the UN's Science and Technology for Development
Network (STDev). Highly flow-centered, these programs move towards the
attributes identified above: k-based, distributed, collaborative and
global. While GDLN's mission is
"to harness modern
technology including interactive video, the Internet, and satellite
communications in a cost-effective way, so that people who know
are brought together with those who need to know, to learn with and
from each other about the full range of development issues", the
STDev defines itself as " a gateway to information on activities
in the area of science and technology for development within the UN
system, other multilateral and bilateral development institutions and
NGOs".
3rd-level KBD
Developing Capital Systems
When it gets to value-based KBD, we can make reference to some ideal
specs (those identified above), and to a vision, but to no actual instances.
A Global Capital System that is complet, consistent, systematic and
inclusive is the framework for the Global KBD we seek. There are,
though, several efforts which constitute steps in that direction.
The concept of Moral Capital has a tradition in the history of
thought. Recently, Kane (2001) has used it to describe a form of asset
of politicians and nations. Indexes to assess moral capital are becoming
fashionable. Corruption indexes, for example, are being used to benchmark
the reliability of public administration at regional and national levels
as a key productivity factor and a determinant of the degree of investment
qualifications. Transparency International is a non-governmental organization,
"dedicated to curbing both international and national corruption".
It generates a Corruption Perceptions Index (CPI) to make governments
and transnational operations more accountable for corruption.
Most of these efforts tend to patch traditional economic and accountancy
methods in view of their increasing incapacity to determine individual,
organizational and social wealth. These "new measures" usually
tend to complement the hard traditional measures with some form
of soft addendum. What we get is a compound of heterogenous indicators
carrying different axiological assumptions, defined within different
theoretical frameworks, obtained through different methodological rules
and compiled under an inevitable umbrella of eclecticism. This circumstance,
as we will see later, pervades current practices to determine k-capital
at individual, organizational and social levels. While such gross comparisons
may be of use at some early point, they cannot be the basis for a systematic
development strategy.
At the individual level, Emotional Intelligence emerged as a complement
to traditional IQ measures. At the organizationl level, Intellectual
Capital constitutes mostly an addendum to real accountings. At the international
level (not yet a global one), a new and growing branch of soft or k-based
benchmarks is getting wider recognition. Fortune Magazine has added
profiles of Most Admired Companies and Best Companies to work for to
its traditional Fortune 100 and Global Fortune 500 listings. In the
US, the Metropolitan New Economy Index, developed after The New Economy
Index and The State New Economy Index sponsored by the Progressive Policy
Institute, is part of a program aimed at developing "a new set
of economic indicators to illustrate the structural foundations of
the New Economy".
Probably the most extensive exercise in accounting for k-capital in
the international arena is the WB's Knowledge for Development program.
The KBD framework and policies are set in the World Development Report:
Knowledge for Development (WB, 1998), with the objetive to aid developing
countries "to exploit the knowledge revolution to help reduce poverty
and promote sustainable development".
Particularly relevant in terms of k-capital, the KforD program
includes a k-assessment method and studies in specific countries aimed
at developing national k-strategies. The assessment method generates
"k-scorecards" consisting of 15 variables related to performance
indicators (annual GDP Growth and Human Development Index), as well
as to the four core aspects of the KBD framework: institutional regime,
education and training, innovation system, and information infrastructure.
Still, the KforD framework is aimed at client nations. Nevertheless,
the lessons learnt through its evolution will contribute to a better
understanding of what it may take to build a global capital system.
A further recent development contributes to global capital from a different
angle. This is the attempt by some of the international development
agencies to define "global public goods" (GPGs). A GPG
is one that "must be supplied through the joint effort of nations
or international agencies, beyond a single government and that constitutes
a benefit for the inhabitants of the whole planet" (Carrillo,
L., 2002). The UN Program for Development (UNPD) distinguishes three
kinds of GPGs: natural ones, such as the ozone layer or the atmosphere;
man-made such as universal norms and cultural baggage; and political
ones, such as international market efficiency, financial stability,
security and peace, environmental sustainability and health. (ibid).
This important development initiates the collective capitalization of
the global commons. But it is still different from the concept
of a system of global capital, which would include the value
universe of our planet, including all forms of value currently possesed
or managed by any individual entity, those that are managed jointly
through some form of cooperative alliance and those which so far are
not claimed or managed by any identifiable entity. Only such a domain
would correspond to the complete, consistent, operational and inclusive
global capital system we are seeking to develop.
In the next section, the evolution of the KM area of Intellectual Capital
is analyzed from the normative perspective of these four requirements.
The introduction of the capital system approach suggests some new directions
for IC.
Capital Systems
The taxonomy phase of IC
As mentioned earlier, one of the economic drives for the fast expansion
of the KM movement was the realization of the weight of intangible assets
in companies, particularly public ones. The huge economic implications
of this realization led to an intellectual gold rush aimed at
identifying, measuring and capitalizing on such intangibles.
As in the early stages of other conceptual fields, efforts have been
predominantly inductive, resulting in arbitrary collections of IC "indicators".
The variety of IC models and categories has been documented, (e.g.,
Flores, 2000; Sullivan, 2000; and Bontis, 2001). More often than not,
such arrays are circumstancial (non-systematic) and, hence, heterogeneous
(with a mix of dimensions from different planes). One discovers that
when attempting to value IC, very few of those arrays abby to basic
canons of metrology. Even fewer differentiate a k-based value dynamics
(e.g.: Thoreson and Blankeship, 1996). While IC has become one of the
most fertile areas of KM, to what extent the basic dimensions describing
k-based value generation have been grasped remains an open question.
Productive value
structures
The evolution of production systems throughout history may shed some
light on the nature of k-based value systems. Although a production
system is not exclusively one aimed at increasing the stock of goods,
services and exchange capital, we will refer mainly to these for the
time being. Production systems aiming at furthering aesthetic, epistemic
and ethical value do include mechanisms for such enhancing or development.
Such mechanisms, common to all value systems, will be identified as
a production function.
Hence, looking at how humans have organized throughout history in order
to obtain a positive differential of goods, services, investments and
savings at the end of a working cycle, we recognize how productive systems
have evolved. Nomadic tribes, by far the longest prevailing form of
human society, were based on hunting-gathering. Under that scheme, a
bare minimum of tools was kept to maintain effective and efficient hunting,
collection and other basic life-preserving and community building functions.
Oral tradition was a dominant mechanism for preserving knowledge and
trasmitting it from generation to generation. (Ives, Torrey and Gordon,
1998),
The emergence of human settlements is associated with the advent of
agriculture, and was to become the dominant production system for a
few millenia, coexisting with remanent forms of hunting and gathering.
In agricultural societies, land was a prime capital, inputs such as
water, seeds and fertilizers, very important and productivity formulas,
a relatively invariant technological stock. The agricultural cycle provided
landmarks to cultural and religious frameworks. Recorded symbolic language
became a vehicle to knowledge, with the advent of the printing as epythome.
The degree of penetration and transformation of the natural landscape
increased as productive systems evolved. From surface-bound hunting-gathering
to land manipulation and landscape transformation in agriculture, human
incidence on nature deepened. Extraction of natural resources, which
started as nomadic tribes moved along territorial paths, increased as
urban settlements allowed for more powerful tools and techniques. The
combination of agriculture with extractive production and compatible
hunting-gathering prevailed for most of documented history.
In the scale of human history, modernity has just happened. One of its
more significant outcomes, the industrial revolution, under such a time
scale, is right before today. At that critical point, production systems
undergo a major change. Extracted raw materials and energy are transformed
through mechanical and chemical processes, using machinery and equipment
to generate manufactured goods. Technology begins to change at an accelerating
rate. The value added of manufactured goods supersedes that of agricultural
production. Commercial mobility increases reaching today's vertiginous
flows of goods, services, financial capital, and technological innovations
at a global scale.
As modern Economic Science took hold, it became concerned with the way
in which production factors combine into the most effective and efficient
arrays. What the necessary and sufficient production factors are for
a given system is a question that Economic Theory of the Firm addresses.
Through dynamic systems modelling, k-based alternatives to business
design and development are being explored (e.g.: Guevara, 2002).
Contemporary Theory of the Firm is a child of industrialization. It
responds to the logic of production which is connatural to manufacturing.
Even service industries are conceived under the same fundamental logic.
Certainly, many issues which could be associated with k-based production
have been addressed by recent economic analysis, but only marginally.
The dominant economic rationale is still founded on the distinctive
value dynamics of mechanical and chemical transformation of matter and
energy and the associated hierarchy of human labour, management and
investment (Cyret and March, 1992).
K-Based value
structures
Certainly, there are continuities in the transition from material-based
to representational-based production, as there were from hunting-gathering,
to agricultural, to industrial societies. Economic phenomena are a manifestation
of a combinatory of objects, agents and contexts. Economic principles
are an abstraction of such a combinatory. Physical and chemical conditions
inextricably constrain that combinatory, determining possible economic
outcomes. In general, the properties of underlying natural phenomena
predetermine the economic behavior of production systems.
Continuities in economic processes from industrial to k-based production
are bound to happen insofar as material elements are involved and they
do not get subsumed by k-processes. Human labour as production factor
will behave in the same way it has as long as it is regarded primarily
as a mechanical, muscle-bound activity. Even work in the service industry
will be similarly regarded insofar as it is measured in traditional
output units.
But there are also discontinuities in the economic behavior of production
systems once the predominant factors are representational or k-based.
Indeed, this is the very raison d'etre for KM and for the whole spectrum
of k-based development. How old and new factors will combine is an open
question. While some of the most visible characteristics of the k-based
economy have been pointed out (Choi et.al, 1997; Woodwall, 2000; OECD,
2001; The European Commission, 2001,) they still need to be formally
structured and empirically tested. Beyond those currently under debate,
received concepts such as intellectual property and the capital/labour
dychotomy need revision.
The bet on the distinctiveness of k-production factors rests on the
physiological, psychological and social strata of k-events. While there
are causal interdependencies between material and represented objects
(as there are between physical, chemical and biological processes) there
are also behavioral patterns idiosyncratic to each level. Once we enter
the domain of represented objects or events, the combinatory is singular
and as a consequence so is the spectrum of economic outcomes. This is
the main point. For the purpose of the overall argument it is enough
to raise such a possibility. What exactly are those natural differences
and how they determine economic outcomes is a major question which we
are only beginning to grasp.
Metaproductive organizations and the global society
Production was identified above as a generic function of all value systems.
Such a function aims at preserving and enhancing the total worth of
the system. "Worth" does not necessarily mean an increase
in size or an accumulation, but a preferred state relative to a specific
value structure.
Economics, as we know it, has accounted basically for the production
and distribution of material resources and their financial representations.
The production component, in its most irreductible structure (an input/process/output
model), involves: an investment income, an agent, an instrument, and
an outcome. Table III compares major production systems throughout history
along these categories. Early service industries are regarded as transitional
into the knowledge economy and, hence, not differentiated in this comparison.
Table
III Dominant factors of major production systems
|
|
Input
|
Process
|
Instrument
|
|
Output
|
Agent
|
| Hunting
gathering |
Natural
habitat |
Human |
Hands
and primitive tools and techniques |
Game,
fish and collected natural goods |
| Agriculture |
Land,
water, seeds, fertilizers |
Human
and animal |
Agricultural
equipment and techniques |
Agricultural
goods |
| Industrial |
Raw
materials and energy |
Human
and automata |
Industrial
machinery, equipment and techniques |
Manufactured
goods and industrialized products |
|
©
FJ Carrillo, 1999
|
As the output of
production systems needed to be represented for practical reasons, currencies
and records were developed. This alone multiplied the value combinatory
of material products. Thus, material production systems generated a
form of metacapital, one which served as representation of all
other forms of production value and allowed for its quantification,
recording and exchange. This combination of material and financial capital
has been the dominant realm of economics.
Once "represented" or "k-based" production factors
became increasingly relevant and the Intellectual Gold Rush exploded,
the need for not only a new structure of production factors, but also
of its combination rules became apparent. Figure 3 shows a generic arrangement
of such factors, followed by their definition. Whereas any of these
can include k-capital, the best identifed forms (internal elements)
are still related to production capital, such as instrumental (mostly,
k-objects) and agent (mostly, human competencies). The most elusive
or ignored so far are new metacapitals (external elements), those which
are not directly productive but which determine the overall productivity
of the system. Amongst these, two major categories emerge: referential
and articulating capital. The first has a function to focus and
align, like a compass or lighthouse. It includes endogenous (identity)
and exogenous (intelligence) capital. Articulating capital has
the function of interconnecting all other forms, like glue or cement.
It includes financial (the first form of metacapital) and relational
capitals.
Figure
3 A Generic System of Capitals

Generic Capital
System Definitions
Generic Capital System
The taxonomy of a system's value categories
Metacapital
Referential Capital (Value elements which allow the identification
and alignment of all other value elements)
- Identity Capital
(endogenous value referents)
- External Intelligence
(exogenous value referents)
Articulating
Capital (Value elements which allow the interconexion or exchange
amongst value elements)
- Relational Capital
(interaction status amongst significant agents)
- Financial Capital
( monetary expression of some or all value elements)
Input Capital
Investment Capital (Value element from another system which is
brought in as an input)
Production Capital
Agent Capital (Those value-generating capacities of individuals
-animal, human and automata- and their groupings, as well as those from
the organization as a whole to improve its own performance)
Instrumental Capital (The means of production through which every other
capital leverages its value-generating capacity)
Output Capital
Product Capital (The inventory of values generated by all other
value elements which has not been realized yet in another form of capital)
Were we able to capture completely and consistently the capital system
of any given entity, we would be representing its "value blueprint",
the state of the system with reference to its ideal state. Such an ideal
state would be one where each of the value elements existed just in
the right proportion to achieving full balance. Hence, value systems
are unique, as unique as personalities or cultures. And, therefore,
capital systems are as diverse as the mutiplicity of systems amenable
to a singular description. This would apply to every individual, every
organization, and every society.
The emphasis on metaproductive values helps us understand that production
does not have primacy in all systems. Indeed, no single form of value
has primacy: it is only the perfect equilibrium of all value elements
(whatever their relative weights) that becomes an ideal for probably
all systems.
From a planetary perspective, the challenge becomes one of identifying
the value universe for all stakeholders and achieveng the best possible
balance. A Global Capital System can provide a platform to construct
planetary value propositions.
Capital Development
Strategies
Much aid about nothing
The writing of this paper coincided in time and space with the UN Conference
on Financing for Development (Monterrey, March 2002). Despite much diplomatic
ado, it was clear well before that no significant agreement could be
reached at the conference because there was a prior agreement that no
further consensus would be sought beyond an earlier draft which introduced
no structural modification to current affairs.
Even if effective Aid For Development (AFD) schemes were actively saught
by UN members, it is difficult to see what such schemes could be as
long as national perspectives prevail. Until structural problems in
north-south capital flow, such as the perpetuation of debt and the international
commodities pricing scheme, are addressed from a supranational perspective,
there is little hope for change. An example of a supranational, although
still limited perspective, was that adopted by The European Community,
each member state should allocate at least 0.35 % of its GDP to AFD.
From this perspective, the relatively modest UN Millenium Goal of increasing
AFD to 0.7% of GDP in all developed countries looks remote. The EU has
the highest rate so far and the US's is below 0.1%. There has been substantial
debate over the conditions that receiving countries should guarantee
in order for aid to have a positive impact. Even if those conditions
were met, even if the UN goals on aid were met, it is unlikely that
the geography of global financial capital would reach a sustainable
balance. Current inbalances are manifested in a more substantial south-north
capital flow than north-south. Under this perspective AFD becomes irrelevant.
The scarcity of funding for development is bound to continue under the
prevailing national, non-systemic and dependency-generating scheme.
Whether there are any funding alternatives is a question that acquires
direct significance to KM from a capital systems perspective. Under
the current scheme, individual industrialized countries struggle internally
to allocate so much funding to AFD, systematically falling short of
UN goals. At the same time, developing nations get locked into an insufficiency
trap. The question is twofold: a) are there any AFD schemes that
can overcome the current financial trap? And b) i In sum: can the
capital systems approach provide an alternative to k-based development?
In the following sections, several dimensions are explored which suggest
it can.
Capital dimensions
The prevailing Financing for Development rationale is based on fractions
of surplus industrial capital from developed countries being donated
to developing countries. Alternatively, the capital systems rationale
focuses on the following questions: a) how can individual developing
countries identify and balance their distinctive value structure? and
b) can developed countries do something to help themselves advance towards
that goal? The possibility that the first question is not merely
rhetorical rests on some as yet untapped potential of human capital
systems.
Financial AFD is a byproduct of the production and financial capital
characteristic of material economies. It will always be competing with
other internal priorities. The US, by far the wealthiest industrial
economy, devotes several times less to AFD than what it spends on curing
excess-consumption-related diseases.
The only chance for KBD is to find alternative sources. That alternative
may well be in those capital dimensions which remain untapped and in
new flow options. To begin with, the basic realization of the Intellectual
Capital movement can be brought to the social level: the total developmental
potential of a nation is above that of its current economic output.
The challenge is to identify all forms of new k-capital and bring them
into the realm of accountable and actual value (figure 4).
Figure
4 Capitals by regular accountability

Actually, there
is a precondition for any form of capital, regardless of its status,
to become accountable and manageable. In fact, identifying "unrealized
capital" does not make it manageable or even a potential asset.
It could actually be a potential liability. Until any capital is operationalized,
in the scientific sense (i.e.: Bridgman, 1927; Feigl, 1954; Carrillo,
1983), it cannot be regarded as manageable. An operational capital is
one which is defined in terms of how we actually identify and compare
it. That can be, for example, the consensus of three experienced supervisors.
Customer loyalty can mean many things. For some, it is
"a
favourable predisposition to buy again". Others suggest anything
from rate of reincidence to customer's NPV. Reichield (1996) has constructed
a hierarchy of customer loyalty measures which indicates the most appropriate
index for each use. Operational capitals move along the scale as they
become better understood and defined, very much as concepts in other
areas of human understanding have evolved (figure 5).
Figure
5 Capitals by degree of operationalization

The domain of accountable and manageable capital is that of operational
capital, regardless of its status in traditional accountancy and management.
We can think of total capital as the mass of an iceberg, where that
part traditionally accounted for is the tip above sea surface
Operational capital attributes
All operational capital has three dimensions which jointly determine
their net worth. These are productivity, functionality and availability.
These dimensions are expressed in positive and negative magnitudes.
Any capital can be assessed in terms of its net worth as a product of
the combined value of these three dimensions. Each is described next.
Productivity. Not all capitals are benign, since systems may be better
off without some such capital (i.e: a "white elephant"). Efficacy
refers to the extent that any capital actually improves the worth of
the value system, i.e.: adds to its positive contributing factors. All
capitals carry an ownership cost which should always be less than their
total worth if they are to be regarded as positive (figure 6).
Figure 6 Capitals by degree of productivity

Functionality. Capitals can be of more or less worth but that worth
can be attained with different degrees of efficacy. A capital may have
real worth but be an idle or even in a death condition. They can also
become obsolete or out of season. Only fully functional capitals deliver
their total worth. All functional capitals are productive capitals.
Productive but idle capitals do not deliver their worth, but they may,
if put to work. Death capitals are those that are beyond any possibility
of becoming productive (figure 7).
Figure 7 Capitals by degree of functionality

Availability. Productive and functional capital may become lost by accident,
neglect or premeditated action. It can also be out of reach (e.g.: databases
for which the access path or access code is forgotten or unavailable).
Access cost diminishes net worth (figure 8).
Figure
8 Capitals by degree of availability

NPV and NAV. The Net Potential Value -NPV- of a Capital System is the
total worth that it is capable of achieving. The Net Actual Value -NAV-
of a Capital System is the total worth that it has actually achieved.
NAV = NPF if and, only if, each of the capital components is fully productive,
fully functional, and fully available (including evolutionary elements).
Capital strategies
Once the distinctive dimensions of k-capital systems are eventually
understood, a new combinatory of developmental factors may emerge. Until
now, the received view focuses on two possibilities: borrowing fresh
funds or receiving them as aid. Yet, there are a number of other capital
flow options, beyond the unidirectionality of current flows. Figure
9 shows some such possible flows, several of which can be reciprocal
or cooperative.
Figure 9 Some capital flow options

Considering all
of the above capital dimensions, new possibilities arise. In fact, the
level reading of each capital dimension considered above leads to a
rather obvious course of action. Figure 10 summarizes some of the most
prominent strategies that each capital dimension reading indicates.
Arrows denote the general path of development for any entity.
Figure 10 Capital Development Strategies Matrix
Current KBD policies

International agencies, such as the OCDE, the World Bank and the UN,
have embraced k-based development approaches. However, such policies
have some way to go before they contribute by design to the new economic
ethics identified earlier: distributed, global, K-based and co-opetitive.
Nevertheless, some KBD agendas exemplify current trends.
John De Long (1996), after its survey of Endogenous Growth, extracted
KBD policies based on principles that guided the design of the 1992
Democratic economic growth agenda in the U.S. Similarly, the Progressive
Policy Institute (1999) identifies ten "Rules of the Road".
These are both examples of domestic (US) KBD policies. The OCDE, (2001)
states the following generic KBD policies:
While specific policy priorities may differ across countries, The
New Economy: Beyond the Hype encourages governments to adopt a comprehensive
growth strategy based on a combination of actions in order to:
1. Strengthen economic and social fundamentals, by ensuring macroeconomic
stability, encouraging openness, improving the functioning of markets
and institutions, and addressing the distributive consequences of change.
2. Facilitate the diffusion of ICT, by increasing competition in telecommunications
and technology, improving skills, building confidence and making electronic
government a priority.
3. Foster innovation, by giving greater priority to fundamental research,
improving the effectiveness of public R&D funding, and promoting
the flow of knowledge between science and industry.
4. Invest in human capital, by strengthening education and training,
making the teaching profession more attractive, improving the links
between education and the labour market and adapting labour market
institutions to the changing nature of work.
5. Stimulate firm creation, by improving access to high-risk finance,
reducing burdensome administrative regulations and instilling positive
attitudes towards entrepreneurship.
The World Bank (1998) identifies the following lessons learnt:
The Report suggests three lessons that are particularly important
to the welfare of the billions of people in developing countries.
First, developing countries must institute policies that enable them
to narrow the knowledge gaps separating poor countries from rich.
Second, developing country governments, multilateral institutions,
nongovernmental organizations, and the private sector must work togetherto
strengthen the institutions needed to address the information problems
that cause markets and governments to fail.
Third, no matter how effective these endeavors are, problems with knowledge
will persist. But recognizing that knowledge is at the core of all
our development efforts will allow us to discover unexpected solutions
to seemingly intractable problems.
To conclude this KBD policy analysis, the following remark by John DeLong
seems appropriate: There is no basis for the often-heard claim that
countries must learn to live with rather than try to change their long-run
growth trend, and every reason to think that pro-growth policies can
nurture--and anti-growth policies destroy--long-term economic growth.
(1996)
Towards Global KBD
From a Global Capital perspective, the following are some of the most
evident lines of KBD policy transition:
From industrial to K-Based . Every entity, regardless of its
current developmental status (industrialized, non-industrialized, etc.)
,
must embrace a KBD perspective. In fact, not all of the richest economic
entities which built their might under the industrial production ethics
will automatically become the wealthiest under a capital systems perspective.
From non-operational to fully operational. All systems must advance
in the understanding and measurement of their constituent values.
From dependence through self-reliance, to interdependence. Each
developing entity must undertake responsibility for its own development.
Aid should become more facilitating and less intrusive.
From exogenous through endogenous to systemic. Individual entities
must seek their own identities and establish positive transactions with
other entities.
From counterproductive to fully productive. All existing capital
must be turned into a positive development factor.
From idle to fully functional. All existing capital must be made
productive to its full potential.
From unrealized to fully available. All existing capital must
become accessible.
From national to planetary. All development efforts must be conceived
within the proper system coordinates to multiply their developmental
impact: individual, communitry, local, national, regional, continental,
multinational, planetary.
From linear to systemic. All development policies must consider
not only the immediate and most apparent impacts, but also look at broad
longer-term pattern of interdependencies.
Figure 11 shows the progression from merely exogenous to interdependent
capital flows.
Figure 11 Sources for financing KBD

Eventually, these policy elements may converge in a systemic, multidimensional
space of capital development which is applicable to all individuals,
organizations and societies (Figure 12).
Figure
12 Capital systems levels

Although there is a long way to go to formalize capital systems and
their applications to individual, organizational and social KM domains,
right now diverse entities are helping to advance clarification of the
value framework and understand how each of its constituent elements
is contributing (or not) to making it what it aims to be. At the global
level, it may help to achieve greater accountability and transparency
in the way in which major constituencies (individual nations, international
agencies and multinational corporations) contribute to planetary worth.
This is one of the goals of the World Capital Institute.
Conclusions:
a Global Capital Agenda
The Sciences of Development
A systematic approach is required to build a consistent KBD framework.
Capital systems, a framework common to KM and PKM, has been provided
to instantiate such an approach. However, this is not a linear task.
There are no absolute grounds to prove it is even a desirable one. The
viability and moral adequacy of the program outlined here is open to
question. Some contemporary ideas actually clash straightaway.
Blunden (1998), for example, looks at the very relation between knowledge
and value as an ethical and epistemological axle of modernity and its
unsustainable outcomes. Baudrillard (1991), in what could be described
as the ultimate social entropy, considers that value itself has become
a meaningless category:
All these ups and downs take us back to the destiny of value
After the natural phase, the commercial phase, and the structural phase,
the fractal phase of value has arrived
In this fractal phase
there is no equivalence anymore, neither natural nor general, one cannot
really talk anymore about the law of value, there is just some sort
of value epidemic, of general value metastasis, of proliferation and
random dispersion. To be precise, we shouldn't talk about value anymore,
since this kind of de-multiplication and chain reaction preempts any
kind of evaluation.
Jean Baudrillard: The Transparency of Evil
As a matter of fact, if Baudrillard proves right, the whole program
advanced here would be meaningless. On the other hand, the only way
out suggested by Baudrillard himself is one with which this KM approach
concurs: a new account of alterity. Alterity is essentially a way of
looking at the other not as him/her who exists independently of us,
but as the very source and final destiny of ourselves (Bajtín,
2000). The ethos of alterity may also be the only conceivable one through
which the articulation of a global capital system and the eventual emergence
of a global consciousness can result.
Perhaps the very confrontation with the limits of globalized modern
culture may help mankind utter for the first time its collective identity
and destiny. It seems worth betting on the viability of the deconstruction
of our axiological and epistemological inheritance (Ferré, 1998)
and the subsequent articulation of an elementary grammar of value at
once diverse and global.
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