Tag: Innovation Economics

Here are a A Few Predictions for the Innovation Economy

Social Network will become the corporate structure of the future. They will spit out start-ups at an astonishing rate.

The “resume system” will be banished forever possibly earning the title of the cruelest human invention since the lobotomy.

The University System will be challenged – the relevance of the college degree will be questioned in an economy that favors unique combination of knowledge assets rather than everyone having the same “degree”.

Everyone will have visibility of supply and demand for knowledge assets meaning that employers and employees will have equal information about cost, availability, and demand.

Creative knowledge workers will earn micro-royalties for their participation in thousands of brainstorming sessions and product development discussions. Earnings will be shared openly and the percentile Search Engine.

The new Patent will be the “Secret Sauces” – the algorithm that entrepreneurs will develop to select their knowledge assets when producing specific innovation.

Teachers will forego salary in favor of an equity position in their students. The best teachers will make the most money. Universities will forego tuition in favor of an equity position in students; the best students attract the best mentors and universities. Apprenticeship will become commonplace.

The knowledge inventory and Percentile Search Engine system rewards people for doing what they are most passionate about. The dominant strategy for all players in an Innovation Economy (that which produces the most revenue) is for participants to pursue what they are naturally good at and passionate for – as long as there is a market for it.

Innovation bonds will return 80% interest or more with near-zero risk. Institutional investors, insurance reserves, and foreign investors will flood the market with venture capital.

Knowledge workers will outsource management.

The Fed will peg the dollar to productivity, not gold or silver – interest on deposits will track productivity increases due to innovation.

Social priorities will impact what gets invented or what stays on the shelf; Global Warming, Alternative Energy, Sustainable environments will have net positive business cases.

The flaw in market economics will be reversed. Technological change will precede economic growth eliminating the economics of debt (ref video). The financial system will be restored to a sustainable condition.

We know that innovation is the engine of all wealth creation and it will live in an integrated system. Knowledge will be reformatted to emulate a financial instrument.

A good article from business week

A great Blog: Jay Deragon and the relationship economy

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The Capitalization of Knowledge – Innovation Bonds

By Admin

On September 18, 2008

In General Information

With a computer readable knowledge inventory, local communities of practice, a percentile search engine algorithm, and the virtuous circle of finance, then future innovation cash flows can be predicted much more accurately and with far lower risk than with, say, the venture capitalists acting alone.

Were risk is predictable, cash flows are predictable and the portfolio of innovations can be diversified so if one business fails there is an equal chance that another will succeed and the risks cancel each other out. The cash flow of all the innovation enterprises can be combined into a single large steady cash flow. Just like companies do to raise money for expansion, the innovation bank can issue innovation bonds on the open market. The revenue from selling Innovation Bonds can return to the community to finance innovation and fund wealth creation at very low interest rates compared with venture capital today.

With a lower cost of venture capital and a system that supports open source innovation an astonishing amount of innovation will be unleashed in society.

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The Capitalization of Knowledge – The Virtuous Circle

By Admin

On September 18, 2008

In General Information

We have set up a new game for entrepreneurs to play called Innovation Economics. We have defined a currency and an inventory where knowledge is visible outside the construct of the corporation – and resident in social networks. We have also described a way for entrepreneurs to visualize the knowledge asset and the supply and the demand for knowledge assets. We have given them a tool for matching assets for profit. We have described how social networks will keep the game fair. We have outlined the structure of new business plans; the brain storming session, product development cycle, the neural network, and the multiplier effect. Future businesses will be built upon combination of these four structures and whatever else entrepreneurs can dream up.

We have described all of the pieces needed to form a new economy. Now we need to connect with the financial markets so that knowledge is readily convertible to other currencies.

For review;

With the financial bank, the entrepreneur assumes that they have the knowledge to execute a business plan and then they look for the money. The risk is that the entrepreneur does not in fact have enough knowledge.

With the Innovation Bank, we assume that we have the money, and we go to the bank to search for the knowledge. The risk is not having enough money to purchase sufficient expertise.

With both banks acting together – the risks cancel each other out and the innovation economy tends toward a ‘risk free’ cycle; the more knowledge you can assemble, the more money you can borrow. The more money you can assemble, the more knowledge you can assemble.

Now we have a virtuous circle. The more knowledge you have, the more money you can borrow; and the more money you have, the more knowledge you can borrow.

There is no shortage of money circling the globe – only a shortage of risk free places to put the money. The innovation economy is an environment of very high return for a very low risk and will attract a great deal of money to fund innovation enterprise.

Earlier we demonstrated that money represents human productivity. It follows that the places that have the greatest potential for increasing human productivity can create the greatest amount of wealth. Therefore, poor areas and marginalized economies with under utilized knowledge inventories or the injection of specific knowledge inventories, become the highest ROI centers in a risk-free system; a condition the explicitly favors the wealth equalization rather than wealth disparity.

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Intellectual Property in the Innovation Economy

By Admin

On September 18, 2008

In General Information

Today there is a big scare that bad people will run off with your intellectual property and make a ton of money with it. Another problem is that the Patent system is so slow and so expensive that the vast majority of innovators simply do not have access to patent protection – many people just keep their ideas secret. This happens in corporations where your ideas are used to advance the careers other people. Often the dominant strategy is to not innovate or keep your ideas secret.

The trend toward open sourcing and crowd sourcing is a real option in the Innovation Economy where Social Network are self regulating. In fact, these articles reference Wikipedia – a community source of definitions.

In practice, If I do dirty deals of Craig’s List, for example; people know where I live….or I get flagged. EBay, for example, produces relatively little to earn their 30B market cap except protect their social accountability system – the EBay feedback mechanism rewards high integrity and punished low integrity. The hallmark of the Web 2.0 is the user generated content as well as the user generated vetting of the content.

This is significant. The efficiency of any market is directly related to the efficiency of the vetting mechanism by rewarding high integrity and punishing low integrity; the FAA vets the airline industry, checks and balances vets democratic government, and the FICO score vets the consumer credit markets. Likewise, things go horribly wrong when the vetting mechanism fails; the accounting profession after Enron, and the sub prime mortgage crisis after loose lending practices, etc. The battlefields of business are littered with similar examples.

In an Innovation Economy, the secret sauce for the production of innovation is far more valuable than any single innovation itself. The secret sauce provides a monopoly on dynamic repeatability rather than some static device. As such, patents can be open-sourced and innovation crowd sourced across a much wider domain of user applications. Such conditions will change the type of innovations that are favored to reflect the broad and sweeping social priorities rather than innovations that are easy to patent, protect, and monopolize – and fear for one’s IP being stolen. Bad people cannot steal your intellectual capital, your social capital, or your creative capital – it is yours, you own it and you have the social network to prove it.

Ownership is the key ingredient of entrepreneurship – everyone owns the innovation economy.

In fact, the objective of innovation economics is for people to take your ideas and make money with them – then give you some of it. Your income arises from collecting royalty payments on your ideas and participation of many ventures. If someone does not play fair, their access to intellectual property and the Percentile Search Engine can be curtailed just like access to credit can be curtailed in modern finance. Therefore, it is in everyone’s best interest to play fair; you may cheat, but only once.

Social Networks are largely self-regulating; no government, Industry, or management is needed. This is efficiency, scaleability, and multiplicity all in one!

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The Credit Score Analogy; Part 2

By Admin

On September 17, 2008

In General Information

Now we look for a similar situation for Knowledge Markets.

In the cuurent times, the hiring manager is the person to know if you want to get a job. The manager would read your resume and compare it with “bell curve” in their brain about what has worked or not worked in their past. This was a great system for the industrial economy, but it falls far short in the innovation economy.

The world is evolving so fast with new technology, new disciplines, and global cultures that what worked in the past may not work in the future. Innovation favors different combinations of knowledge where the Industrial economy favored similar knowledge. A hiring manager may not accumulate sufficient experience in a lifetime to make a proper assessment in the complexities of a diverse, global, and technical future market.

If we look in society, there are many vetting mechanism in place. Social networks are by far among the most exciting and important new technology that can serve this purpose. Social networks must now evolve to become a local vetting mechanism for knowledge assets.

Just like the reporting agencies in the credit system, Social Networks can serve an extremely valuable function in permitting human knowledge to emulate a financial instrument by acting as the “Recording Agencies” who have verified the asset in terms of quality and quantity. The knolwedge Inventory acts as the independent variables that are used to calculate the probability of market success. The difference is that the credit score measures mostly negative events while the new system will seek only positive events and can be designed to give the participants much greater influence on how they appear to the market.

One thing is missing. The credit score uses the FICO equation; Innovation Economics will use something called the Percentile Search Engine.

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The Credit Score Analogy; Part 1

By Admin

On September 17, 2008

In General Information

We have defined the currency, the factors of production, and the inventory of the Innovation Economy; we destroyed the old resume system and turned it into a computer language that makes knowledge appear like money in the eyes of the entrepreneur.

Now, we need a system that keeps the game free and fair. For example; EBay does little more than protect the feedback system, Craigslist uses community flagging, Linkedin keeps track of comments and contacts, etc. All markets must have a vetting mechanism in order to operate efficiently. Entrepreneurs do not invest in places without a good legal system and where property rights are not protected. When vetting fails, investors leave – It is that important.

In the Innovation Economy, the knowledge market is analogous to the credit market.

In the old days, the banker was the person to know if you wanted to be successful in town. If you needed to borrow money to start a business or buy a house, the banker would review your work history and financial records as well as your reputation in the community where you both live. If you were deemed an acceptable risk, the banker would lend you money from the deposits of local companies and individuals.

Then an engineer named Bill Fair and mathematician Earl Isaac created the first behavior scoring system to predict credit risk. They formed the Fair Isaac Corporation FICO and their invention came to be known as the FICO credit score. With the credit score, the local banker is almost irrelevant; now a Saudi Billionaire can lend money to a young couple in Boise to buy their first home – and neither of them are aware of the other. The credit score is responsible for the creation of a lot of wealth because it made many more entrepreneurs who invested borrowed money in business. The credit score even allows you to recover if you hit hard times – you just pay more a little interest until you prove yourself solvent again.

The credit score isolates about 22 or so measurements of financial activity and puts them on a bell curve relative to everyone else. These include how much debt you have, how much your assets are worth, your income, etc. These ratings are run through the FICO Equation and out pops your credit score. Anyone can now predict the likelihood that you will default on your obligation.

All of the data that feed FICO are collected from public records, your employer, and the people who you borrow money from – all of these organizations have a vested interest in a system of correct credit scores.

It is interesting that you and I do not compete for our credit score because it is not a ranking system. The old saying “No credit is worse than bad credit”, although inaccurate, is cited often because with bad credit, you are visible to the system and it can adjust to find a suitable interest rate. With no credit, you are simply invisible.

We lose some privacy with FICO, but we accept these terms well because they provides us with tremendous benefit to finance a business, automobile, or a home without needing to save cash. Likewise, we lose some privacy engaging each other on the Internet and in our community, however, the benefit of Social Networks far exceed many perceived privacy issues.

My personal complaint with credit scores is that they track largely negative events and seem to predict failure. What if we had a system that tracks success and used that data topredict varying degrees of success.

In the next section, we will identify the institutions that exist in society and how Social Networks can act to duplicate the benefits of the credit score without the downsides….watch

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The Knowledge Inventory; Part 3

By Admin

On September 17, 2008

In General Information

In American society there is a persistent ideology of winners and losers; there can only be one winner and the rest are losers. We rank things in a very linear way; 1st, 2nd, 3rd, etc. Sports analogies dominate many business expressions; low ball, hail mary pass, ball’s in your court, etc. Our culture is to protect one’s position at all cost, shield away all attackers and decimate our competition. This way of thinking was effective in the industrial economy but today with the emergence of social networks it keeps us from understanding how knowledge actually exists in a community – it lives on a bell curve.

The Bell Curve

If I examine a group of people on the streets of Seattle in the area of mathematics – I would get a bell curve. If I examined engineering school students in mathematics, I would still get a bell curve. If I examined engineering professors, I would still get a bell curve.

In the Innovation Economy, there are no winners or losers, only different markets. There is a perfectly legitimate market for a Ferrari and there is a perfectly legitimate market for a KIA – in fact the market for KIAs is bigger than the market for Ferrari, so the idea that we compete with each other may no longer be appropriate. In fact, according to game theory priciples, it may not actually be the best strategy to be number one in a single talent – rather, being slightly above average in many diverse talents, on average, pays more for the majority of people engaged in innovation economics.

This is important. All of the tools, methods, and equations in the world of banking, finance, and insurance use interpretations related to this type curve when they try to figure out the value of an asset in the particular market. This is very important for making knowledge look and behave like money. Again, there are no winners or losers, only different markets.

We will need to come up with a way to sample and normalize knowledge in a community. In some ways we already do: Ebay uses a rating system, we rate comments on blogs, best answers to questions, Google placement, number of contacts, college GPA, credit score, etc. So rating are everywhere – there is nothing new here.

Here is what we need to do to make knowledge tangible in a community: when a local community of practice meets, everyone needs define the knowledge that the community shares, then everyone needs to find their place on the right bell curve. Each specialty and proficiency level is a different market. For example, a photography community there may be some competition for who can operate a camera better – but there is competition anyway. The competition disappears when one photographer is also a musician and nature enthusiast while another is also a baseball player and likes political contests. They would each own a unique market; still life and action respectively – and they can now cooperate instead of compete.

In fact, rather than fighting for first place by beating up your competitors, the best strategy in a market may be to have an average level of expertise in as many subjects as possible rather than being the best at one or two obscure areas. It depends on the market – it always has and it always will.

An entrepreneur will not make a bet without odds. We are giving the entrepreneur the information that they need to create wealth. Again, There are no winners or losers, only different markets.

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The Knowledge Inventory; Part 2

By Admin

On September 17, 2008

In General Information

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.

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The Knowledge Inventory; Part 1

By Admin

On September 17, 2008

In General Information

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.

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