Think Bigger. Aim Higher. Go Further.

Tag: asset

Video: The Calculus of Global Outsourcing

calculus-failPicture credit

The knowledge economy is a completely different asset than the industrial revolution’s Land, labor, Capital economy. Yet, our modern accounting systems and even our definitions of terms such as innovation, work, employment, education, are built from industrial era or military logistic roots.

Modern Globalization is a system – it must be analyzed like a system. Data, Information, knowledge, and Innovation are profoundly related in a system. If you take away one of the components, the others become worthless.

When we outsource our knowledge economy, the innovation economy is exterminated. The Ingenesist project specifies an Innovation Economy built on social media which will capture the knowledge inventory of communities – let’s hope that we have not forgotten how to build an ….

Video: Taxonomy for Community Knowledge Inventory

2009 Forecast DocAny taxonomy that is used to classify information is a candidate for the classification of knowledge. This is because knowledge is related to information in a differential equation that also includes data and innovation (another blog post).

The trick is that everyone needs to be using the same taxonomy so that we can all access knowledge inventories of the people around us as easily as it is to access books on Amazon.com. This will lead to a trade in knowledge assets formally the sole domain of corporations through the process of industrialization (yet another blog post) .

Please enjoy these videos, use them as you wish and let us know what you think.

The Fundamental Flaw of NAFTA

Leading into 2010, The Ingenesist Project will release a series of videos that specify the construct of the Next Economic Paradigm.  We begin at the beginning.

The following video discusses the flaw in modern globalization market economics that started with the failure of an obscure sub section of NAFTA – the free trade of services. The objective of the Ingenesist Project is to correct a tiny little flaw in market economics. This simple adjustment will result in dramatic change.

Deep Web Search

Deep Web Search Engine is here. This represents a new economic paradigm since increasing the available information increases the rate of change of knowledge across diverse communities. Keep your eyes on this one – it’s a big one.

1.3 Trillion Dollar Professional Contact Market

“Hey, I know a guy who owes me a favor …”

It is only a matter of time until professional contacts will be for sale.  The problem is that the ROI (return on investment model) is such a poor valuation tool for social media. Another valuation tool used in finance is called Real Options.  An option is the right, without the obligation, to act on an opportunity at some time in the future.  Social Networks, friends, family, and professional contacts behave much more along these lines.

Five Easy Pieces:

While the calculation for the value of an option is complex, the things we need to plug in are fairly simple in the context of social media:

1.    There must be an inventory of the assets
2.    The future date when the asset can be acquired must be known
3.    The cost of acquiring the asset must be known
4.    The value effects on the enterprise must be estimated
5.    The uncertainty related to the asset must be estimated

The term “asset” in social media space may include: Knowledge, skill, an undertaking of a new project, or the generation of a new idea, etc.

The Social Networking Manifesto:

The objective of the building a social network is to know where the knowledge assets are, how much they can help you, how much they cost to exercise, and the certainty that they will be applicable, available and useful when you need them.   Conversely, the best way to increase the value of a social network is to be visible to others, tell people what you can do for them, tell people what you need from them, and establish a reputation for reliability.

Most importantly, everyone must have the right, without the obligation, to accept or decline the opportunity.  This is what jump starts ‘supply and demand’ and makes a market a market

Let’s consider all options:

To estimate the value of an option to call on anyone in your network use a financial option calculator tool on the web and plugged in social media numbers.  Let’s use Linkedin as the knowledge inventory; 40 million knowledge assets also hold options with their contacts. Say that the expiration date is 1 year (for tax reasons).  Assume the market value of their skill is 100 dollars and that at some point in the next year, the value of their skill relative to yourself becomes 200 dollars. The right to buy the asset at the earlier price is worth a premium.  Suppose that the volatility of the asset is 50% and the interest rate is 7%.

The value of the “call” is worth about $3.47 dollars.  The Call is an option contract that gives the holder the right to buy a certain quantity of an underlying security from the writer of the option, at a specified price up to the specified expiration date.

The value of options in a network:

For the above scenario assuming all assets are equal in price of 100 dollars; if someone has 10,000 1st and 2nd level contacts on Linkedin, the value of their implied call option is about 34,700 dollars.  If Linkedin were a stock market, the value of the social contracts that people have with each other is 34K x 40M = 1.3 Trillion Dollars market value for the contracts that people hold and trade.

This is not even the value of the transaction – only the right to have a transaction. The value of the social contract is in the conversations that they hold.  Contracts are a financial instrument that can be traded, combined, diversified, and aggregated for real money.  It’s only a matter of time.

The Ingenesist Project specifies the structure of an innovation economy where a knowledge inventory, a percentile search engine, and an innovation bank will facilitate and aggregate the 5 components of Option Valuation.  Social media applications form the operating system for the market in options.

Matchmaker, Matchmaker, Make Me a Match

The $40 Billion Dollar Dowry

Every organization wants to attract the most qualified employees and match them to jobs for which they are best suited. The human resources department is responsible for matching a knowledge surplus to a knowledge deficit through the hiring process. Fortunately for them, there is no knowledge inventory in society and managers don’t necessarily know what they want.

Human resources, training, and labor relations managers and specialists held about 868,000 jobs in 2006. The following tabulation shows the distribution of jobs by occupational specialty:

Training and development specialists    210,000
Employment, recruitment, and placement specialists    197,000
Human resources managers    136,000
Compensation, benefits, and job analysis specialists    110,000
Human resources, training, and labor relations specialists, all other    214,000

An HR Generalist pulls an average income of about $50,000 per year; A Director earns up to $140,000 per year. The total HR national payroll is estimated at $40 Billion annually.

Commodity Management:

Human Resources creates the impression that people are merely commodities to be treated as expenses rather than assets; or at best, like office machines or vehicles, despite assurances to the contrary.  The HR profession is built on the assumption that people cannot manage themselves, that human behavior is random and intangible, the independent variables for success are always known by management, and that the key words on a resume is the best predictor of a good match.

Innovation Economics; the science of incentives:

Social Media is providing systems for people to organize and manage their own career.  True knowledge inventories are forming as social groups coalesce around standard taxonomies of professional practice outside the corporate construct.  Knowledge assets are being vetted in communities of peers and the resume is being replaced by a Social Network Profile and “Search Engine Footprint” which more accurately predicts the quality and quantity of knowledge assets.   In the near future, a predictive search engine will be able to predict the probability that various collections of knowledge assets can execute a specific business objective at a known cost.  Scenarios can be tested and compensation will reflect true supply and demand.

Superior Value Comes in Many Different Packages:

So what happens when top management meets the new Human Resources Training and Content Development Manager who was sent by the Social Networks Search Engine to build the new corporate Blog and Social media strategy – sporting facial tattoos, a nose ring, and a black kilt, and dreadlocks?  If the fact that a top manager is not comfortable with a person of a particular culture or lifestyle can be perceived as detrimental to the innovation capacity of the organization, that organization is threatening its own survival.

Don’t Shoot The Fiddler

The story of Fiddler on the roof centers on Tevye, the father of five daughters, and his attempts to maintain his family and religious traditions while outside influences encroach upon their lives. He must cope with both the strong-willed actions of his three older daughters—each one’s choice of husband moves farther away from the customs of her faith.  The story resolves with a slow acceptance of the new world and creeping redefinition of what love is and what love can be.

In an Innovation Economy, the perfect match is no longer determined by those inside the construct of tradition, rather, it is determined by those entrepreneurs on the outside redefining tradition – and  earning 40 billion dollars.

How Does Social Media Affect GDP?

Gross domestic product (GDP) is a basic measure of an economy’s economic performance.  GDP is the market value of all final goods and services made within the borders of a nation in a year measured in Dollars.  Globally, GDP is equal to the total monetary income generated by production of goods and services in a country.

Gross Domestic Product does not take into account many important variables accelerated by Social Media and growing exponentially in economic influence.

GDP counts only industrial output, but…

Industrial output is becoming increasingly dependent on social networks and social innovation.  GDP does not take into account such non-market transactions such as open source development, crowd sourced innovation, conversational currency, social capital, creative capital, or intellectual capital exchanged between people in diverse social networks

GDP reflects Wall Street Priorities, but…

Wall Street Priorities are increasingly challenged by social priorities. GDP does not account for sustainable business practices, heroism, mentorship, activism, volunteerism, social networking, uncompensated innovation, and community involvement.  GDP does not account for quality improvements and social multipliers such as aggregation of social media, increasingly powerful computers, acceleration of conversations, online etiquette, multi-media, and social editorial services.

All of the above exclusions are valuable, because…

These exclusions add value, they store value, they create value, they distribute value, and they exchange value.  If we called it a financial instrument that is highly convertible, extremely liquid, and easily transported it would describe a currency by any definition of the word.  For the purpose of this discussion, call this currency the “Rallod” – or Dollar spelled backwards.  The Rallod is the currency of the new American economic and production paradigm.

The Invisible Currency

For Example; Twitter is doing in Iran what America has been trying to do in Iraq for 8 years.  Face book, LinkedIn, and the entirety of social media space is producing many times the effectiveness of the $200 Billion U.S. advertising industry in terms of driving people to specific action. Social vetting platforms such as blogs, commentaries, groups, and content aggregation have increased the efficiency of markets by vastly reducing arbitrage opportunities while also identifying scams and corruption.  Human productivity is being converted to Rallods and there is no politician, executive, or white collar criminal anywhere in the world who is not deeply concerned about this invisible currency.

The Best is Yet to Come:

The “Last Mile of Social Media” is analogous to the last mile of broadband Internet – the marginal cost of reaching every person in every household and tightening social networks to extremely high resolution, is diminishing rapidly.   The Last Mile will bring communities together to vet local politicians, corporations, products, and policies.  The Last Mile will formulate a knowledge inventory combines with close proximity of knowledge assets and a percentile search engine to predict outcomes.  The Last Mile of Social Media will duplicate every function that exists in a corporation except it will be built upon the social media operating system; aggregated, amalgamated, sustainable, and reflecting social priorities.

So what happens to GDP?

GDP by current measure will reflect only the value of the “dollar”, not necessarily the value of the human productivity.  Perhaps it already does.

Collateralized Innovation Obligations

Collateralized Debt Obligations (CDOs) are a type of structured asset-backed security (ABS) whose value and payments are derived from a portfolio of fixed-income underlying assets. In the case of the current financial crisis, the underlying assets were home mortgages.  It is not necessary for the CDO buyer or seller to know who lives in the home and what they produce; the asset is a contract backed by future productivity.

CDOs vary in structure and underlying assets, but the basic principle is the same. To create a CDO, a corporate entity is constructed to hold contracts as collateral and to sell packages of predictable future cash flows to investors.  The more money handed out in home loans, the more money could be collected in CDOs

You are a liability.

While corporate leaders proclaim that people are the greatest asset, corporate accounting practices specify otherwise.  Employees are an expense and their salaries, benefits, and pensions are liabilities to be reduced any time the opportunity arises.  So what’s the problem?  Liabilities can’t innovate.

Suppose for a moment that people were in fact an asset on the accounting sheet and their salaries, benefits, and pensions were “investments”.

Collateralized Innovation Obligation (CIO):

The CIO would obviously be a type of structured asset-backed security (ABS) whose value and payments are derived from a portfolio of fixed-income underlying assets, specifically, the output of productive and motivated people.

Like the CDO, a CIO would vary in structure and underlying assets, but the basic principle is the same. To create a CIO, a corporate entity is constructed to hold assets as collateral and to sell predicted future cash flows to investors.  It is not necessary for the CIO buyer or seller to know who is innovating or what they are producing; the asset is a contract backed by future changes in productivity. The more money handed out in innovation loans, the more money could be collected in CIOs.  For all practical purposes, we could call it an Innovation Bond.

Enter Social Media:

Social media is teaching us an important lesson about innovation.  Every time you get a diverse group of people together to share ideas, new ideas form.  Every idea is useful as long as it is shared; thousands of bad ideas must expire before the good one appears.  Conversational currency is the vetting mechanism of all ideas.  While not every good idea becomes a great invention, every great invention is built from good ideas.  Machines cannot produce ideas and no single company, country or person holds a monopoly on ideas.  Innovation and the creation of all wealth arise from the social, creative, and intellectual interaction of people.

Conversational Currency: The underlying asset

The underlying asset that supports both the Collateralized Debt Obligation and the Collateralized Innovation Obligation is a person and their ideas; one is an asset and the other is a liability.  Both types of people go to work every day to interact with other people.  They both share ideas and create better ways of doing things.  People increase human productivity through fault tolerant networks and support systems. They transform information into knowledge and innovation – and both pay their mortgage.

What is the ROI for Social Media?

The quick answer is that ROI is indeterminable – get over it.

ROI is a static measurement where financial decision makers look into the Crystal Ball to project a future economic outcome which is then be protracted back into the present to arrive at a value of an investment opportunity.  In case you have not noticed, this valuation method is largely bankrupt.

Like lipstick on a pig

Yet ROI Persists. B-schools teach SWOT; Strengths, Weaknesses, Opportunities, and Threats as a means of dressing up our projections with yet more projections.  All the ROI in the world may predict the economic future but as soon as people react to the market condition through improved information in Social Media, all those models fail.  This is called reflexivity and it is becoming a dominant influence in all financial projections in the age of Social Media.

Fortunately, the true visionaries of the next economic paradigm are increasing in numbers and rapidly moving away from the ROI model into something far more valuable simply by asking the serious questions……

Hey, what exactly is the currency we’re using?

David Bullock and Jay Deragon from the Social Media Connection Network are producing a series of videos investigating the currency of social media where they astutely ask the tough questions, “What are people trading?” and “what is a Tweet worth?” While these may seem like simple questions, they have many an ROI expert stumped.

Nobody really cares if I had bacon for breakfast; so the ROI on that tweet is exactly zero.  However, if you get 15 tweets in an hour on the same subject – there must be something important related to bacon today.  The more people sending bacon tweets, the greater is the value of my “option” to react to what looks like a bacon pandemic.  Still, I hold the option, without the obligation, to expend my limited resources in response.

Options have value

The value of social media is counted in options – not ROI.  Social media is dynamic, not static. Therefore “Strengths, Weaknesses, Opportunities, and Threats (SWOT)” are also highly dynamic moving targets that are highly contagious in social media and cannot be foretold in the next 5 days let alone 5 years. The cardinal rule of business is to collect assets and reduce liabilities. An option is an asset and an obligation is a liability.

ROI fails.

ROI is a future projection brought to the present.  Options are collected in the present and projected to the future – there is a fundamental difference between the two that must not be overlooked.  People are doing something, they have a plan, they are cooking up a new trick and the ROI is indeterminable…

Options have value and obviously people are willing to pay for them with their time at a keyboard, therefore, they are willing to pay for them through any medium of exchange.  This is what people are doing on social media – collecting options. The Next Economic Paradigm will provide a means to cash in those options. Hold on to your chips, the social media game is far from over.

The Global Financial Crisis; The End Game

The year is 2024, no burning cities, no mass hysteria, no bread lines; the economy is on an exponential growth curve.  It took a while, but the financial crisis of ended in an anticlimactic sort of way.  Sure, lots of hedge fund bankers became unemployed, some went to jail, and many companies once deemed titans of industry have disappeared, but nobody seemed to notice much anymore.

Government debt has been eliminated and Wall Street has become the steward of what has become an Innovation Economy rising from the ashes of debt economics.  The transition, in fact, was surprisingly smooth.  Social Network applications such as Facebook, Linkedin, G+, and many more, developed a clever way to make knowledge tangible outside the construct of Wall Street and the traditional corporations and people began trading knowledge like currency.

When inflation hit, the dollar started to fall in value, people began trading a different currency called the rallod (dollar spelled backwards).  The rallod was backed by future productivity resulting from innovation rather than future productivity supporting debt.  When the dollar finally crashed, it pegged to the rallod and the economy began to grow again with an astonishing, yet peaceful, transfer of wealth and power to open sourced self-regulating communities; i.e., society in general.  The vicious cycle of debt economics was reversed just in time.  It’s still hard to believe what happened.

Today the engines of economic growth are tens of thousands of hot new start-ups that exist in the form of “Value Games” related to specific technology areas rather than the old corporation model.  They automatically cluster around a technology and spin off other start-ups at an incredible rate in a strange nesting arrangement called the “tangential innovation” market.  Most innovation is open sourced because the “Patent” (and protectionism in general) is no longer the center of the innovation finance universe, rather, the “secret sauce” of social, creative, and intellectual capital is the most valuable asset today.

About 15 years ago, something resembling the human genome project mapped all knowledge in the form of social, creative, and intellectual capital that exists in society to a very high granularity.  An API standard was created to represent knowledge assets like packets of code that are processed by a community algorithm. The CV/resume is an old bar joke now. Thanks to a visionary government, 1st amendment protections were built into this inventory with anonymity laws and privatized TOU; creators own what they create.

An open source percentile search engine was created to enable entrepreneurs to build unique collections of knowledge assets and predict the probability that various combinations of these assets could successfully execute a business plan.  High diversification induced hyper-innovation around technologies and the resulting innovations are spun out to be reabsorbed by different and diverse communities of practice in continuous iterations forming a virtuous vortex of new systems, methods, and solutions.  Sketched out, these arrangements looked like electrical “integrated” circuits.  Wealth creation is intense.

Since the knowledge inventory has mapped all knowledge and the Percentile Search Engine calculated probabilities and scenarios, the Innovation bank formed to make most worthy and optimal matches between knowledge surplus and knowledge deficit in a community.  Since the probability of innovation success has become predictable, innovation risk is now diversified away.  Innovation insurance products abound. With near-zero innovation risk the cost of venture capital has approached 5-7 % instead of 500-2000% of less than a decade ago.  Banks now issue innovation bonds on the public market to finance innovation in society.  For an investment of such high return and such little risk, participation is near universal.  This created another virtuous circle; the more innovation that occurs, the more money is created.  The more money that is created, the more innovation occurs.

Instead of having jobs, many people in a geographic area are pinged by the Percentile Search Engine which calculates the likelihood that their interaction together will increase the probability of successful execution of a business plan when combined with other knowledge assets.  Instead of earning wages, people collect micro-royalties specified by contracts on capital asset sub-sections. These micro-royalties add up to substantial residual income enjoying a multiplier effect as their work continues downstream over their lifetime. The government funds social security through it’s own innovation ventures. Service workers such as police, teachers, fire fighters, nurses, local merchants, etc., are key beneficiaries because of their impact on the community is directly associated with productivity.

Many of the senior knowledge workers have determined that they can earn more money by taking an equity position in their students, and the students of their student.  Unlike a decade ago, pyramid schemes in innovation economics are sustainable and generate astonishing profits.  Mentors have entered the landscape in vast numbers and apprenticeships have become abundant.  The income potential for the “creating creators” boggles the imagination.   Again, a virtuous circle has formed between the mentor and the student. In aggregate, wisdom is being retained, refined, and transferred efficiently throughout social networks.

University “degrees” have disappeared in favor of unique combinations of knowledge assets that are continually SEO’d for best Percentile Search Engine Placement.  People do not compete directly, rather, they compete with the Percentile Search Engine in the local market place by cooperating among each other.  As owners of their knowledge assets, the entrepreneurial spirit is ubiquitous.  No individual has either a monopoly or an identical knowledge set as anyone else.  Everyone has perfect information about the knowledge assets in a market.  People are pinged for different reasons at different times for different rates depending on supply and demand.  Continuous education is a social event in itself, often mistaken for recreation!

Even the poorest areas of the planet are getting into the action because, by definition, the parts of an economy with the highest potential for technological change correspond to opportunities that return the highest dividends in an innovation economy.  Arbitrage opportunities between master and oppressor have disappeared worldwide.

Like a neural network, the economic system of tangible knowledge is self-correcting, fault tolerant, and self-regulating.  Governments across the globe tried to stop the social network driven innovation economy – but they eventually gave up.  It was like trying to stop water; it flowed between the cracks and simply eroded the barriers.  The most incredible outcome is that innovation now reflects long term social priorities instead of short term Wall Street priorities.

Oil production has been replaced by superconducting wind turbines, global temperatures have stabilized, all cars are electric or “water leakers” (as the hydro’s are affectionately known), many diseases have been cured, and the list goes on.  It is hard to believe this happened in only 12 years.  Then again, the Internet had only been widely used 15 years prior to 2009.  Did I mention, we’re finally sending a multinational expedition to Mars…

Necessity Is The The Mother of All Stimuli

So who exactly is paying for this? The next economic stimulus package will not come from the halls of Washington or the boardrooms of Wall Street, but from the streets of America.  The objective of The Ingenesist Project is to induce a crowd sourced innovation economy by integrating Social Media with three web applications. It’s all about to become extremely exciting.

Social Media Grows Legs

There only remains three tiny applications yet to be developed and deployed to social media that will allow human knowledge to become tangible outside the construct of a corporation, and therefore, independent of Wall Street.  Social media technology is very close to duplicating nearly every function of the corporation outside of the traditional corporate structure.  America’s most valuable asset is not money, it is social capital, creative capital, and intellectual capital, and it’s about to stand up, brush itself off, and walk away from the mess left by the excesses of greed and power.

The Evolution of a Species:

1. Social Media will be used to develop a knowledge inventory in a computer code based on, say, the Dewey Decimal System.  Suddenly, human knowledge will become organized like a library and searchable by computer in very high resolution.

2. Boolean logic will be applied to the knowledge inventory and the resume will be replaced by a high resolution computer readable descriptive code.

3. Communities of practice will normalize (bell curve) their knowledge domain. At this point, knowledge will appear in the same form as a financial instrument and can then be treated as a tangible asset.

4. A percentile search engine will calculate the probability that a various collections of knowledge assets can execute collections of innovation business plan scenarios.

5. An Innovation Bank will match most worthy knowledge deficit to most worthy knowledge surplus and keep a record of the “secret sauce” of success feeding back to the search engine.

Wall Street Calculus:

Using the same equations as Wall Street, the Innovation Bank will predict the probability that a venture will be successful given a set of knowledge assets.  The Innovation Bank can then predict the future cash flows associated with the venture. Now, thousands of ventures and their predicted cash flows can be combined, diversified, and diced up into innovation bonds having superior returns over any other investment.  Investors will flood the Innovation System with cash.  This cash will be used to fund more innovation investment and the cycle will continue.  Everyone takes an equity position and innovation reflects social priorities rather than Wall Street priorities.  This changes everything.

This can happen today with existing infrastructure.  The only thing needed is a social movement; that’s what Americans are best at.  Where does this leave Wall Street, failing businesses, and all their debt?  The funny thing about knowledge assets is that they can walk if necessary.

The Shift to Social Capitalism

As computer enabled society marches toward social capitalism as a result of overburdened financial institutions, a new generation of social media applications will form to emulate those institutions.  Social capital, creative capital, and intellectual capital will increasingly behave like tangible assets.

Economic and Privacy

Our credit score is a statistical sampling system in which we compete with ourselves for the cost of money.  We lose some privacy with the credit score, but we accept these terms to the degree that we enjoy the benefit.  After all, we can literally print money today to build a businesses backed by future productivity (financial capitalism).  If this benefit disappears, so too will the paradigm and something else will take its place.

Social Media and Privacy

Similarly, we lose privacy with social media; we drop our resume on Monster, we post our profile to Facebook, we express opinion on a Blog, and search engines display this activity.  But we accept these terms to the degree that we enjoy some benefit from our social network.  Whatever that benefit is, we know that it is real, it is tangible, and it has value – otherwise, people would not do it.  This is the nascent domain of Social Capitalism.

Cover your Assets

Like financial capitalism, social capitalism will be the ability to borrow knowledge assets today to build a business backed by future productivity of those assets.  In order to anticipate how social capitalism may be structured, we continue with the analogy:

The FICO equation churns about 22 variables related to your financial behavior. These variables include debt load, asset value, income, payment history, etc. Input data comes from past lenders for the benefit of future lenders, as well as insurance companies, employers, public disclosure, etc. The credit score predicts the likelihood that your future productivity is worthy thereby allowing the lender to hedge risk accordingly.

Computer Enabled Society

If we reconstruct computer enabled society in the same form, we notice some interesting similarities as well as differences.  Instead of 22 financial variables, social variables appear as events demonstrating social, creative, and intellectual capital. Input data comes from Social networking applications such as profiles, blogs, referrals, etc.  Finally, search engine placement registers your social credit score.  Have you Googled your name lately?

As imperfect as this may sound, remember that computer enabled society has not fully developed on the ground. Social Capitalism is in the beginning stages and there is great opportunity in improving this system if we know how it should work because the value of the paradigm, by default, could be in the trillions of dollars.

Next Generation Business Methods

The next great business opportunities will be in the area localizing, mobilizing, organizing, vetting, classification, and normalization social capital, creative capital, and intellectual capital.  These elements will contribute to one’s social credit score which buys access to share information and knowledge. Geographic location will become an essential SEO component as diverse communities cluster around technologies and tangential innovations.  Many of the functions that drive a traditional corporation will exist in communities governed by social economic incentives.  As a consequence, not as a cause, social capitalism will reflect social priorities as the term currently implies.

Social Capitalism and The innovation Economy

Social Capitalism fueling an innovation economy may become the most powerful engine of economic growth in human history if structured correctly, and a dud if not.  We are much closer than anyone realizes and the path is becoming increasingly clear. There is great cause for optimism in the next few years of social media development and social capitalism.

Out of Cache; Will Work For Bandwidth

We can measure the time in minutes, we can measure distance in miles, and we can measure mass in grams – so how do we measure Innovation?  Am I missing something or is this possibly the most stunning omission in the history of civilization?  Who is keeping score? Where’s the referee? This is serious business, folks – the fact, factors, and factories of innovation should be in laser sharp focus to everyone right now, here is why:

The total US liability is estimated at 53 trillion dollars. Every US citizen must become more productive by $175,000 each to cover the invisible mortgage.   Government and corporations are not going to fix this problem – they will leave it to the kids to figure out how to make, mix, and measure innovation.

Natural Resources of Bandwidth

It is official; the United States has run out of bandwidth and we need to create more. The only way to accomplish this is an extraordinary expansion in the breadth, depth, and scale of innovation. This is a situation that cannot be rationalized by any conventional school of thought – starting with our definition for innovation.

The accepted definition for innovation is “something novel and useful”. I hope that I am not insulting any B-school professors or innovation guru’s but “something novel and useful” is already bankrupt as a definition for the only thing that can pull us out of this flaming tailspin of debt economics.

So let’s try something that the kids can do well (because they get to pick up the tab):

Innovation = Bandwidth Created / Bandwidth Expended

So there it is: a simple, clean, and effective:  If the number is greater than 1 we have a creation of wealth. If the number is equal to 1 we have a transfer of wealth, if the number is less than 1 we have the creation of more debt.

It should not matter how one defines bandwidth as long as the top number and the bottom number are measured the same way. If the kids can increase the top number, or lower the bottom number for anything anywhere by using their social, creative, or intellectual ability, alone or in groups, then they can become successful innovators.

Business case

There is a clear and rational business case for bandwidth – people will pay for it at a price relative to their own available bandwidth. Let’s give the kids a game they can win.  Let’s give them a score that they can keep. Let’s show them how entrepreneurs work, think, and play.

For the same amount of bandwidth expended, they can create more bandwidth for 10 rich people or more bandwidth for 1000 poor people. Let the kids decide. If they give some people more bandwidth at the expense of the bandwidth of others, they lose.  If they find synergies that act as a bandwidth multiplier, they win. Let the kids figure it out.

All we need to do is help develop standards to measure bandwidth.

It’s the least that our old people can do and a much simpler problem for our feeble minds to solve.  The Ingenesist Project specifies 3 web applications which if deployed to social media will allow social capital, creative capital, and intellectual capital to become tangible outside the construct of the traditional corporation – we believe that this may do the trick.  There may be others working on the problem too, we don’t care – at the end of the day, we all work for bandwidth.

That Pesky Little Problem With Market Capitalism

Technological change must always precede economic growth.  We are going about the process of market capitalism as if economic growth can precede technological change.  Somewhere along the line we have gotten the cart in front of the mule.

It seems that this situation can be fairly easily corrected – after all, it’s the same cart and the same mule.  All we need to do is get the same driver to point the same carrot on the same stick in the opposite direction; and the system should turn itself around.  Impossible we ask? Well, maybe not….yet.

The same species…

Economic growth and technological change are the same species; each is represented by human productivity.  If I take a loan to buy a house, the debt is “counted” as economic growth backed by my future productivity.  If I go to work and invent a method that provides a better way for people to accomplish something, that same productivity increases with my innovation.  They should hedge each other much like insurance.  The problem arises when we forget to count the mule.

If A = C and B = C, then A = B

If any two currencies are backed by the same standard, they should be readily convertible.  If Euro’s and Dollars are both backed by Gold, they would be convertible between each other and the market can simply choose to trade one or the other.  Arbitrage opportunities would keep the system balance.

This is the same case with debt and innovation; two currencies represented by the same standard, i.e., productivity.

What if a new currency was introduced and pegged to human productivity?  That currency would also be proportional to the dollar. Arbitrage opportunities between debt and innovation currencies would seek a balance. The two scorecards would hedge each other as they should.

It is going to happen eventually, why wait?

While this may seem odd to talk about one State, two currencies, it is not so odd to talk about what happens if the dollar fails.  People will start trading a different currency.   The Plumber will trade ideas with the lawyer who will trade with the doctor, carpenter, teacher, grocer, laborer, etc.  A computer enabled society will build a knowledge inventory of who knows what.  Reputations will arise thus organizing knowledge in the form of a financial instrument.  This social medium will be the tool that organizes trading schemes and establishing supply and demand.  An Innovation Bank will keep track of who owes what to whom and distribute wealth in the form of tangential innovation.  Venture “capital” will be the cheapest money in town – it’s like money in the bank for an innovation economy. This is in fact, the nature of society and largely the function it has served for thousands of years.

Little carrot on a big stick

The difference between now and any other time in history is that society is computer enabled.  Human knowledge has been held hostage behind the construct of “intangible assets” on a corporate balance sheet for too long.  There is a great deal of energy building up and it can now find a productive outlet through social media.  The best government policy is to accommodate what people will do naturally.  It would be extremely inexpensive to empower society to form an innovation economy to hedge market capitalism. People need a currency that is first and foremost natural for them to trade.   Later, Wall Street can convert and gamble at their peril. But first, point the stick in a different direction and the system will correct itself.

[The Ingenesist Project (http://www.ingenesist.com) has specified three web application which if deployed to social media would allow social capital, creative capital, and intellectual capital to become tangible inside social networks.]

Social Media; the Integrator of the Innovation Economy

Where are the gray suited diplomats holding each others forearms against a world map backdrop vowing to correct the world’s innovation system?  Where are the politicians joining across party lines about how to inject 700 billion dollars to fix the nation’s innovation system?  When will the Federal Reserve Chairman find the flaw in our national innovation system?  Hey, when will someone notice that we don’t have a national innovation system?

Schumpeterian Economics argues that corporations represent our nation’s innovation endowment. However, the primary function of a corporation is to make money, not explicitly to innovate.  Sure, they innovate if they must – most likely to beat down a more innovative competitor.  But, as soon as bad times hit, most will shift money from R&D to marketing.

If we look back only 400 hundred years, everyone on Earth lived on an average of about 500 dollars per year.  Then the innovations from the prior 2,000,000 years started to converge.  Counting backwards; the knowledge economy was “derived” from the information revolution, which was derived from the manufacturing revolution which was “derived” the Industrial revolution which was “derived” from the scientific revolution, which was “derived” from the agrarian economy.  Each revolution “Integrated” the tools of the prior revolution; The Knowledge economy integrated the tools of the information age and the information age integrated the tools of the manufacturing economy, etc.  By the way, the term “derived” is related to the term “derivative” – the primary hedging tool integrated in our current financial system.

Each economic revolution was marked by a tremendous increase in human productivity – we no longer need to milk our own cow. Victoria trades a dollar’s worth of her time as an airplane engineer for a dollar’s worth of the Robert’s time as an agricultural engineer.  Bill Gates is worth 50 billion dollars because he increased the productivity of a minimum of a billion people by a minimum of 50 dollars each.  I save 5 dollars in gas by not driving to the library when I can just search Google or Wikipedia.

The only way to “make” more money is to increase human productivity and the only sustainable way to increase human productivity is to find better ways of doing things.  Anything else is simply a transfer or redistribution of money.  Both are important – but often we confuse them under the same terminology: “making money”.  Or, we reverse the two by literally making (printing) money and then transferring it to corporations under the assumption that they will innovate enough to support everyone else plus the debt.  This system worked great for many years and in many political forms – it brought us from living in caves to a 65 trillion dollar global economy.  But like the economic revolutions before it, the current economic structure will soon give way to a new paradigm as we are forced to reach for higher productivity.

What the brilliant economist, Joseph Schumpeter did not have in his time was the technological breakthrough of Computer Enabled Society.  Taking a hint from the past; the new economic paradigm will be derived from the knowledge economy by integrating the tools developed during the knowledge economy. That is why we now have Linkedin, Facebook, YouTube – and all the rest.

Everyone agrees that information, knowledge, and innovation are profoundly related.  In fact, we can say that knowledge is derived from information and that innovation is derived from knowledge.  The new paradigm will be called the Innovation Economy and it will arise from the integration of the tools of the knowledge economy using social media. We see terms like open-sourcing, crowd sourcing, social networking, groundswells, innovation exchanges and a host of new Social Media Internet applications.  All of these have one thing in common; the tangibility of human knowledge.  This is the Holy Grail of modern finance and it is not a coincidence – it is now within our grasp.

In the past, human knowledge was only tangible inside the construct of a corporation – the corporate structure integrated knowledge assets to make things people want and need. However, with Social Media, knowledge assets will become tangible outside the corporate structure and integrated by knowledge communities, social networks, crowds, groundswells, etc. Knowledge communities will mix, combine, interact, and share knowledge; inevitably the end result is innovation – to make things that people want and need. These knowledge communities will become the next “corporation” acting directly as the integrator of human knowledge.  Ironically, Social Media “outsources” management.  Traditional corporations will not disappear as the agrarian economy never disappeared – they will just integrate.

Ideally, Wall Street is a simply a horse race where money is bet on corporations to fund innovation.  There is nothing wrong with that.  We don’t need a new financial system; we need a new and improved innovation system.  We have the technology; all we need now is the “integrator”.  The Ingenesist Project is the only viable comprehensive integrator now being proposed.  Perhaps it is not perfect, but the next economic paradigm will be certainly be derived from its improvement.

Social Media; A Public Innovation System

In order to restructure our financial system; we first need to restructure our innovation system.  ALL of the top ten reasons for business failure are due to a lack of knowledge, not a lack of money.

Top 10 reasons why businesses fail:

1.    Lack of an adequate, viable business plan
2.    Insufficient sales to sustain business
3.    Poor marketing plan: unappealing product, poor customer identification, incorrect pricing and lackluster promotion
4.    Inadequate capital, misuse of capital and poor cost control
5.    Poor management skills: lack of delegation, leadership and/or control
6.    Lack of experience and knowledge
7.    Lack of managerial focus/commitment
8.    Poor customer service
9.    Inadequate human resource management
10.    Failure to properly use professional advice: i.e. accounting, legal, financial, etc.

Lack of a viable business plan is an act of negligence where research, scenarios, and assumptions have not been tested.  Market ignorance is not an excuse nor is the failure to know one’s customer. Death by poor marketing plan is knowledge deficiency related to product appeal, customer identification, pricing structure, and lackluster promotion.  Obviously, one needs to know how to manage a company in order to be focused, let alone correctly estimate capital needs. Lack of customer service knowledge is deadly in the age of social media. Inadequate HR is an oxymoron – if it’s inadequate, it’s not a resource – human or otherwise.  Finally, failure to listen to knowledgeable people is ego driven irrationality.

The financial system is not the only problem; the innovation system is a crucial element. Information, knowledge and innovation, by any definition, are profoundly and inseparably connected.  A failure in one kills the other two.  So, just because an entrepreneur does not have the knowledge, does not mean it the ‘knowledge’ fails to exist – it simply means that entrepreneur failed to find it.

So where is the knowledge? Unfortunately, there is no public knowledge inventory – people do not know what each other knows.  There is no website where that people can go search for all 90th percentile social media experts living in zip code 06776, let alone build a dedicated local management team.  There is no way that anyone can assemble the knowledge needed to execute a business plan with a known probability of success given the information available.  As such, there is no way to finance public innovation.

Insurance companies can tell you the probability that you will die exactly on your 80th birthday, but we cannot estimate the probability that a business will be successful.  Nothing has more variables that human physiology, yet it is predictable and business success probability is not.  Why can’t this be fixed?

If we could identify, integrate, and predict public information, knowledge and innovation, we could diversify risk exposures away.  With risk exposures managed, we could insure start-ups risks.  With start-up risk eliminated, we can sell innovation bonds at, say, 6% to fund the extraordinary rate of public innovation that we need to support our debt and pressing social liabilities.   If the innovation bond returns a modest 20%, human productivity, by definition, has increased by 20%.  A 20% growth in human productivity is a 20% growth in an economy.  Again, financial system is not the only problem; the innovation system – or lack of an innovation system – is the problem.  Perhaps oversimplified, but this is an astonishing omission from the national dialog on the financial crisis.

The emergence of Social Media technology presents an extraordinary opportunity to organize a knowledge inventory outside the construct of a corporation and marry it to the financial system, much like a corporation.  Knowledge tangibility must be the most important “innovation” in the pipeline today if we expect to meet the crushing challenges that await us.  Just because we cannot predict innovation does not mean it cannot be done – it just means that we do not know how… yet. This is not about inventing a new currency, it is about the public taking control of the old one. We, the people, don’t deserve to lose this game; join The Ingenesist Project and help build a sustainable Innovation Economy.

The Balance Sheet for Knowledge Assets

Innovation economics has a way of forcing us to look at the mirror image of conventional wisdom.  This article will look at knowledge assets as they might appear on an accounting balance sheet.  You may be surprised at what happens at the bottom line.

Wall Street will often reward a company that has a large backlog of orders. This can appear in the eyes of most observers as an asset. After all, who would not want a backlog of orders?  However, in the world of social media, a huge backlog causes a serious problem – it represents commitments made that have not yet been delivered. An unfulfilled promise in a social network is a liability and not an asset.  By extension, a backlog in an innovation economy is a liability and not an asset (note: climate change).

Applying conventional wisdom to an innovation economy, we find that most companies have an excellent inventory of the “liability” but a poor inventory of the “asset” that will execute those promises. All of their plans, specifications, blueprints, job descriptions, policies and procedures, etc., are liabilities in an innovation economy because these define the promise that is unfulfilled, not the asset that will fulfill them.

Until recently, companies assumed that the right knowledge assets will always be available – an assumption that for a long time has limited the level of productivity that humans can achieve, specifically, the sustainability of natural resources. The absence of a knowledge inventory limits the complexity of problems that humans can solve much like industry was limited to custom machinery before Eli Whitney demonstrated the concept of interchangeable parts less than 200 years ago.

Further, if the product line is expected to have a life cycle of more than a few years, the knowledge inventory must extend beyond the doors of the company and into the surrounding community.  Therefore, the knowledge inventory must take on the taxonomy of the community, not the taxonomy of the corporation such as skill codes, levels, titles, etc. The requirement is now clearly in the domain of social networks.  Yet, I still hear grumblings in the blog sphere that social networks cannot be monetized – nothing should be further from the truth.

So, let’s talk about the bottom line.  For example, Boeing announced today that their greatest future challenge would be the availability of engineers. Boeing has a market capitalization of $34B and a $300B backlog.  Money has a 10:1 multiplier as it travels through and economy.  For a balanced accounting statement, what would be the real value of a social network that can capture the correct knowledge inventory to support Boeing; 34B, 300B, or 3T?

In general, valid estimates of the bottom line can vary by 2 orders of magnitude depending on the point of view of Wall Street, corporate management, or the social network community.  Who would be the better steward?

Social Enterprise; Rating Systems

There is an ongoing discussion about the rating system for articles posted to a business oriented social network site that I belong to.  While am not part of the discussion, my one and only post to that site had been rated very low despite the fact that I am recognized internationally in the subject matter of that particular article.  I stopped posting articles to rated sites because the rating systems are flawed at the core of logic – Frankly, it’s too risky.  As the creativity, originality, or controversy of the post increases, the disincentives to sharing it also increases.  I don’t want my customers googling me to see this rating without also being able to google my reviewer.  No sour grapes – I’d wear a D+ from Stephen Hawking as a badge of honor.

The objective of any business/social network in today’s world should be to make human knowledge more tangible outside the construct of the corporation, such that it emulates a financial instrument – at the end of the day, it’s about the money.  Otherwise Social Networking amounts to active recreation – like guitar hero, or tubing; fun but somewhat trivial.

ALL financial instruments, without exception, are described in terms of a quantity and a quality.  ALL quantity and quality measures for financial instruments are statistical in nature – that is, they fall on some kind of “bell curve”.  This is true for EVERYTHING from a stock valuation to credit score to marketing demographics to health/home/life/car/business insurance, baseball players, GPA,  etc. – the bell curve is ubiquitous.  Whoever is not minimally familiar with the simplest basic concepts of a Normal  Distribution, et al, is at a severe and unfortunate disadvantage in the innovation economy. This is how the world of money is organized, this is what money is, this is what Wall Street does – for better or worse, like it or not….it is what is.

One obvious failure of most Social network rating systems is the linear 1-5 “stars”.  If there were 6 stars then at least we could have a leg up on applying the most valuable mathematical tools available from the world of wealth and value creation (hence, Six Sigma).  Second – the bell curve is not linear and the reviewer needs to be aware of this. 6 stars would mean that a post falls (in some measure) between 97%-100% of all similar level posts ever read by the reviewer. 5 stars falls in the 85%-97% range; 4 stars, 50%-85%; 3 stars, 35%-50%; 2 stars, 3%-15%; 1 star 0-3%.

If Calculus isn’t your thing, consider this – the bell curve rating system makes the reviewer really think about who they are in the process, the responsibility they hold in the rating of others, and the implications of their ratings – too high, or too low.  It would be good to know how many articles the reviewer has read and rated, the average of their ratings, as well as their own rating on articles published (is this staring to sound like EBay? – it should, at 25B market cap, they’re not silly people).  Social accountability does wonders for market efficiency and wealth creation.

Social Networks are ideally suited for correctly rating their own knowledge inventories so that when their members go out in the new world trying to make a living, it is known to all that they have been vetted by a respected community.  This increases the value of the member and it increases the value of the community in the market. Communities that empower and release great talent to a market actually empower themselves; Harvard, GE, Frank Zappa.  This has happened at the local level since the stone ages.

What about our competitive instincts? There can only be one winner and the rest are losers, aren’t all good Capitalists supposed to decimate thy neighbor? Always remember, it is all about the perfect combination of average assets, not necessarily the single excessive asset that makes product most valuable in a market.  The market for Toyotas is far greater than the market for Ferraris, yet each are competitive in their respective market.  The studies of ‘beauty’ discovered a collection of perfectly average features – in the eye of the beholder, consistent with balance and harmony.  So we’ll need to drop the win-lose culture on this one and worry about competing with the real threats that lie before us.

Sure, most people will complain about such a system because it is too complicated, too math-ish, not the easy tweet (OMG CUL8R!). But this is the reality of how money is organized – and disorganized (did I mention Wall Street yet?). There is no exception, there is no rational alternative – the world does not care if people agree with the way things are or if they understand the math.

Fortunately, once people learn to roll over this metaphysical speed bump, the rest is real easy as a vast world of possibility for generating extreme wealth in social networks will unfold before our eyes!!  Knowledge tangibility is the Holy Grail of modern finance but Social Networks are at risk of squandering this unique and historical opportunity to paint this empty canvas in their own image.  Act now, please – this chance may never happen again.

Social Networks and the Multiplier Effect on Innovation

If we combine the parallel transaction with the series transaction we have what now looks like a neural network. In practice, we know that strong networks of people freely exchanging ideas make organizations better, smarter, and more efficient. Networks are where knowledge and wisdom is literally stored. A network is fault tolerant, if one person leaves, the network survives. For a relatively small input into a network, we can produce a large output of new knowledge – we have a learning organization.

However, in society, these interactions are largely accidental; people meet at Church, Starbucks, and Social Events or by word of Mouth. Other times, these interactions are concentrated inside a single community of very similar people such as a technical conference, group meeting, or lunch buddies and are often not well diversified.

Suppose the interactions among people were not random, instead, they could be designed by the entrepreneur to produce a unique outcome. The Innovation Bank will combine people of complementary knowledge assets in a calculated manner in order to arrive at specific business approaches and applications.

A special case of the above business method and resulting social network is called the Multiplier Effect. A financial bank enjoys a multiplier effect with the ability to lend the 10 times more money than they hold in reserve. Money changing hands has a multiplier effect on an economy. Again, financial analogies hold.

Suppose that a company owns composite material technology for use on aircraft. Since they specialize in airplanes, they have no intention of pursuing other applications such as recreational equipment, energy production, or health care products.

Suppose that the company could deposit this asset in a bank and collect interest. The Search Engine can scan the business landscape to find companies with a knowledge deficit in the area of your technology and make loans of your technology. As the originator, you have the option to see what those other companies invent and you hold the right to use their new ideas in your aircraft application.

With an innovation Bank, you can reduce your Research and Development costs and create additional revenue in a tangential innovation market. With reduced cost and risk of innovation, you are likely to specialize more and more in innovation as your enterprise. In the event of a cyclic downturn in the business of an originator, instead of “laying off” knowledge assets, people can work in tangential industries where they will continue developing – literally putting “Knowledge in the Bank” – to be called back when market conditions improve. A mobile knowledge asset increases in value becoming smarter and more productive over time.

The Innovation Bank

So now, what are the entrepreneurs going to do with this percentile search engine?

Entrepreneurs wander the earth looking for valuable things that are being used at a low level of productivity and they move those assets to a higher level of productivity and then pocket the difference, called profit.

Think pet rock, condo conversions, sand, corn, etc.,…it goes on forever.

The entrepreneur needs to have a clear view of what the asset is, the lower level of productivity, and the higher level of productivity of the asset. These three elements are the focus of all business plans. Then they set things in motion and give life to the market system.

When we look at financial banks we see the classic entrepreneurial activity. In the simplest form, banks do little more than find people who have a surplus of money and they match them with people who have a deficit of money.  Bankers have a clear view of the asset, the lower level of productivity and the higher level of productivity for the asset.

They pay a lower interest to the depositor than they do to the borrower and pocket the difference. In addition, they enjoy a multiplier effect that allows them to lend the same money many times effectively creating money from a promise to pay, or debt.

It is in the best interest of the bank to find rich people who will not need their money for a while, and poor people that have the best likelihood of paying the money back in time. This is to minimize the risk that the depositor will pull out their deposits and the risk that the borrower will not pay back the loan. The problem is that some assumptions need to be made, some of which may no longer be valid:

The bank assumes that the borrower has the knowledge required to execute the business plan that they are financing. Unfortunately, the credit score does not predict knowledge on future ventures.  For this reason, new ventures are not easy to finance.

The financial bank makes the assumption that the entrepreneur has the knowledge to execute a business plan that they seek money to fund.

On the other hand, the Innovation Bank makes the assumption that the entrepreneur has the money available to execute the business and is searching for the knowledge to do so.  This service will be required in the innovation economy since no single person can live long enough to possess as much knowledge as is required to manage the complexity of problems that face the World. We will need to mind meld.

The Innovation Bank simply matches most worthy knowledge surplus with most worthy knowledge deficit and a market is born.

The challenge for the innovation Bank is to match the most correct knowledge surplus to the most correct knowledge deficit. This is accomplished with the computer enabled knowledge inventory. A search can be conducted of the supply and demand for knowledge assets. The Percentile Search Engine will calculate the probability that the specific business objective will be successful.

The business plan for the entrepreneur is very simple but the implications are vast.

The Percentile Search Engine

The Percentile Search Engine is a way of using a computer to make predictions about all types of combinations of knowledge Assets.

Conceptually, the percentile search engine is where all of the equations that we use to analyze financial assets are now applied to knowledge assets. The main characteristic is that the Percentile Search Engine returns probabilities – that is, what’s the probability of success for any number of scenarios.

For example; an entrepreneur may want to know if her team has enough knowledge to execute a business plan. Maybe the team has too much knowledge and they should try something more valuable. Maybe the team does not have enough knowledge and they should find someone else, take training, or try something simpler. The Percentile Search Engine can look into the community and identify the supply and demand of a knowledge asset. If it is unavailable or too expensive, the Percentile Search Engine will even tell them what training they need to increase their probability of success.

The entrepreneur may also want to determine what competitors have a dangerously high probability of competing with her new business. The Search Engine will allow competitors to scan each other’s knowledge inventory to determine how long it would take for their secret sauce copied. They can take then choose to take evasive action, compete, or cooperate. If a key person retires, the entrepreneur would simulate the knowledge that is lost and reassign people strategically. All of these scenarios can be examines prior to spending money. They can be made during the project cycle, or after the project is completed. Lessons learned can be used to adjust the algorithm perfecting it over time.

While companies such as Disney and Boeing both use Engineers, each would have proprietary combinations of knowledge that represents their “secret sauce” of success. These recipes can be adjusted and improved to reflect the wisdom of an organization.

Over time, these algorithms will far more valuable then the Patents and Trade Secrets created by them – this will allow technologies to be open sourced much more profitably and shared across more industries.

Literally thousands of new business plans will emerge from this important new paradigm. Knowledge will become tangible outside of the organizational construct of the corporation. Knowledge combinations will become the new corporate structure. The rate of change of knowledge with respect to time is the key metric and fundamental building block of the innovation economy.

The Knowledge Inventory; Part 2

Suppose we used the Dewey Decimal System to write a resume. A person could be described as a series of numbers instead of words and computers can search the numbers as they do key words today.

For example: 302, 307, 330, 607, 17, 500, 519

This person has experience in social interactions, communities, economics, educational research, ethics, natural sciences, statistical analysis

While memories of high school librarians may make us cringe, the computer loves numbers and classifications in this format. This will be important especially where knowledge is very specific. However, this simple list of numbers does not capture the knowledge of a person any better than the flawed “key word” search system that we are trying to replace. So we need to do something more.

If your mind were a library and you attempted to map it all out, one would see that everything is related in some way – intuitively, this is what defines you. If we looked at your brain, we would discover a huge network of experiences, relationships, books read, lessons learned, and people encountered. We would find a system of knowledge rather than random facts. Your likes and dislikes would be reflected in what you do and do not want to do. Everyone is different – nobody is the same. Everyone innovates, everyone has knowledge, and everyone shares information.

Somehow we need to reflect this on our computer readable resume.

The Universal Decimal Classification (UDC) System was built on top of Dewey for precisely this reason, to catalog complex and dynamic knowledge. The UDC system uses symbols to connect and relate the categories.

• Addition (+) allows for a string of subjects to be listed together.

• Forward slash (/) defines a range – or a “system” of subjects matter.

• Colon (:) identifies categories that are related like; sports and medicine, ethics and law; innovation and economics.

• We can even employ Boolean Operations such as IF, AND, OR, NOT statements. For example; we can say Polo IF Horses NOT water OR trade marks

• In a Global Economy, we can employ language and culture assets as well.

Now, we have a system of numbers and symbols represent the knowledge of the person.

For example: {20,12};[302+307], (330):[607+17]+[500/519]

Now we see that a computer language is emerging for human knowledge. This “resume” is for a specialist in Social systems and communities of practice. Knowledgeable in economics related to educational research, ethics, and natural sciences. They also employ statistical analysis in their work and can do it all in either English and Spanish

This is starting to demonstrate several key advantages:

1. It is Infinite and expandable to any field of knowledge
2. Paints a picture of knowledge not simply a list of information about a person.
3. Machine programmable and machine readable.
4. knowledge of several people can be combined to represent the knowledge inventory of a team, group, or company

We are getting closer to the elusive true “Knowledge Asset”. Part 3 will demonstrate how knowledge can be made to look like a buck, walk like a buck, and quack like a buck.

The Knowledge Inventory; Part 1

We identified the 5 essential elements of a market economy. Then, we discussed the currency of the Innovation Economy; people trade information and turn it into knowledge and new ideas using factors of production; Intellectual Capital Creative Capital and Social Capital. Now we’ll discuss the inventory strategy for knowledge assets.

Most companies have an inventory of every nut, rivet, or panel that they need to build something of value. Innovation Economics will be no different – we need an inventory of knowledge in our community so that we can build things with it.

Google and Wikipedia offer us a huge inventory of information – we read that information and turn it into knowledge through a mental process. Since knowledge can only exist inside people, we need a catalog of what people know. Our Knowledge inventory must be able to catalog and classify all human knowledge from the past, present, and future. It must account for Intellectual Capital, Social Capital, and Creative Capital. If done correctly, our knowledge inventory will begin to take on the characteristics of assets – knowledge will look like money.

Suppose that we say your resume is like a book about you. This isn’t too strange since every book that you have read has become part of your knowledge inventory. Every conversation with another person has become part of your inventory. Every new idea that you have tried, successful of failed, is part of your inventory. The things that you like to do, things that you do not like to do, and things that you do not know are part of this inventory as well.

The Dewey Decimal System is a way to catalog information. Even though Dewey is somewhat archaic, it provides a good example of how a knowledge inventory should be structured. Entrepreneurs will improve it if needed – so let’s just understand the concept for now.

For a quick review, the body of written information is divided into 10 main categories. Each main category is divided into 10 more categories and each of those are divided into 10 categories – and this can go on forever. For example, the term 519 identifies a piece of information. The main category is 5 = natural sciences, sub category is 1 = mathematics, and the next sub category is 9 = probabilities. So to have the number 519 on your resume says that you have knowledge and can solve problems related to probability and statistics.

You will also notice that some Dewey categories favor Social Capital, some favor Creative Capital, and some favor intellectual capital. While a knowledge inventory may sound daunting, computers and modern Internet applications can now do much of the work for us – in fact, they already are doing this work.

Page 2 of 2

Powered by WordPress & Theme by Anders Norén

css.php