|www.ebbemunk.dkWhy were Janus Friis and Niklas Zennström successful with Kazaa and Skype?|
This chapter contains a selection of theories to provide which address the question in the heading. My suggested answer to the research question is found in section 5.8.
The American economist and statician Armen Alchian wrote in 1950 about "Uncertainty, Evolution and Economic Theory" [Note 152].
Each economic actor for each action has a distribution of potential, overlapping outcomes.
"Each possible action has a distribution of potential outcomes, of which one will materialize if the action is taken and that one outcome cannot be foreseen." [Note 153]
Alchian argued against the assumption that economic actors seek profit maximization, because that assumption implies perfect knowledge. He defined uncertainty to be the phenomenon that produces overlapping distributions of potential outcomes. If the distributions were not overlapping, there would be no uncertainty. And as all actors then would make the right choice every time, there would be no profits either. So, if one assumes perfect knowledge, profits disappear.
As the economic actors do not have the knowledge of how profit can be maximized, the motive of profit maximization can be neither a guide to action nor the reason for success. Hence motivation must depend on results:
Alchian employs a biological metaphor and refers to Darwin's evolutionary natural selection when he states that the firms that are nearest to the unknown optimum will grow quicker than other firms and become the dominant type.
"...the essential point is that individual motivation and foresight, while sufficient, are not necessary". [Note 155]
The lack of need for individual motivation is supported by Joseph Schumpeter:
"In the theory of the circular flow, the importance of examining motives is very much reduced by the fact that the equations of the system of equilibrium may be so interpreted as not to imply any psychic magnitudes at all, as shown by the analysis of Pareto and of Barone. This is the reason why even very defective psychology interferes much less with results than one would expect. There may be rational conduct even in the absence of rational motive." [Note 156]
Darrell Huff published in 1954 a clever and funny book called "How to Lie with Statistics".
Huff mentions three kinds of failings when analyzing causes and effects. He encourages putting any statement of relationship through a sharp inspection to avoid the post hoc fallacy. The error-prone correlations can be any of several types:
Examples of these kinds of failures:
I repeat the research questions:
It is worth considering the correlations between causes and effects before attempting to answer the research questions. Here are some considerations based on Alchian's and Huff's findings:
The problem with social science compared with other kinds of science is that it describes interactions between reflective individuals and organizations while other kinds of science describes un-reflective phenomenons. All of the individuals and organizations interact while at the same time pursuing their own goals.
It is not an easy task to make any kind of objective description of the social world. I will make a try by employing two different approaches. In both of these approaches there are subjective choices among various methods to find the proper way to represent facts:
On sampling and bias: Darrell Huff's statistical considerations for studies in economics:
"To be worth much, a report based on sampling must use a representative sample, which is one from which every source of bias has been removed."
One must expect a certain bias towards the well-to-do and well-informed:
"You have pretty fair evidence to go on if you suspect that polls in general are biased in one specific direction ... This bias is toward the person with more money, more education, more information and alertness, better appearance, more conventional behavior, and more settled habits than the average of the population he is chosen to represent." [Note 161]
Newspaper reports tell an exiting and entertaining story but using newspaper reports as the main source for the description raises several problems:
As this paper is based mainly on newspaper reports, it may be founded on problems with the sources and the press bias. According to Darrell Huff, statistics are employed to sensationalize, inflate, confuse, and oversimplify. This can be said about journalism as well. Huff comments on the combination of journalism and statistics:
"Public pressure and hasty journalism often launch a treatment that is unproved, particularly when the demand is great and the statistical background hazy." [Note 162]
But Armen Alchian brings us comfort. Circumstances may be troublesome, but economists only need to have their eyes wide open:
"All that is needed by economists is their own awareness of the survival conditions and criteria of the economic system and a group of participants who submit various combinations and organizations for the system's selection and adoption." [Note 163]
On normal distribution and average: Huff mentions that the word "average" has a very loose meaning. It can be the mean (the arithmetic average), the median, or the mode (the most frequent figure). If the distribution is close to normal, then you can employ any of the three. If the distribution of income etc. is markedly skewed, then the mean is far from the median and the mode. In this situation nearly everybody is below the mean.
"Consequently one kind of average is as good as another for describing the heights of men, but for describing their pocketbooks it is not." [Note 164]
An example: Comparing Skype's profits to that of any other Internet start-up takes place in a population with a markedly skewed distribution. For this reason it will be impossible to use the arithmetic average for any reasonable purpose.
Joseph A. Schumpeter was an Austrian economist born 1883. His analysis and written work was in the style of Karl Marx but from an aristocratic viewpoint. In 1909, at the age of 26, he was appointed as a professor of economics at the University of Czernowitz (now Chervotsky, in Ukraine). Here he studied the development of the railway network throughout the Austrian empire, and he found that "... in general it is not the owner of stage-coaches who builds railways."
In 1912 Schumpeter published "The Theory of Economic Development. An Inquiry into Profits, Capital, Credit, Interest, and the Business Cycle" in German, translated to English in 1934. [Note 165] He later published other works and served as professor at the universities of Graz and Bonn. From 1932 till his death in 1950 he was professor at the Harvard University in the United States.
In "The Theory of Economic Development" Schumpeter explains growth in the economy as great waves of innovation caused by entrepreneurs. He distinguishes between two kinds of entrepreneurs:
Adam Smith claimed that if anybody does the best for himself then the whole society will prosper. In the same train of thought Schumpeter claims that the single entrepreneur's actions may result in economic growth in the society as a whole:
It is the entrepreneur's innovative actions at micro level, originating from the single individual's own situation and creativity as the result of an inner process, which in special situations gives rise to a vast throng of followers who may in turn influence cyclical fluctuations. [Note 170]
Schumpeter criticised Adam Smith for flattening the theory of economic growth into a single, oversimplified cause: The division of labour. Schumpeter insisted that the entrepreneurship is a unique factor of production and at the same time the scarce social input that makes economic history unfold. [Note 171] One might propose that Schumpeter propagated entrepreneurship as Adam Smith propagated division of labour. It was his wish to describe the entrepreneurs' activities as a useful part of the business life. On the other hand any entrepreneur is working for his own self-interest and can in this way be regarded as a kind of robber baron. [Note 172]
Joseph Schumpeter noted that it is the producer who initiates developments and that the consumers must be taught about the new inventions:
"... innovations in the economic system do not as a rule take place in such a way that first new wants arise spontaneously in consumers and then the productive apparatus swings round through their pressure. We do not deny the presence of this nexus. It is, however, the producer who as a rule initiates economic change, and consumers are educated by him if necessary; they are, as it were, taught to want new things, or things which differ in some respect or other from those which they have been in the habit of using." [Note 173]
The innovations are not evenly distributed through time, but appear discontinuously in groups or swarms. They do so because the appearance of one or a few entrepreneurs facilitates the appearance of others, and these the appearance of more, in ever-increasing numbers:
"The swarm-like appearance of entrepreneurs, ... has a qualitatively different effect upon the economic system from that of a continuous appearance evenly distributed in time, ... it does not, ... mean a continuous, ... disturbance of the equilibrium position but a jerky disturbance, ... of a different order of magnitude." [Note 174]
The innovation has a disruptive effect for the economy, as it is exposed to what Schumpeter calls "creative destruction." The disruption may be a complete reorganisation of the industry with increased production, abandoning of obsolete businesses, dismissal of workers, etc. [Note 175]
Schumpeter tried to find out how the economic system generates the force which incessantly transforms it, for example explained in his 1942 book "Capitalism, Socialism and Democracy" where he notes that:
"The problem that is usually being visualized is how capitalism administers existing structures, whereas the relevant problem is how it creates and destroys them." [Note 176]
Schumpeter offers three important characteristics for the relationship between innovations and entrepreneurs. In general an entrepreneur should meet all of the three requirements: [Note 177]
Less important characteristics:
For Schumpeter, an innovative concept is one of the following five types:
The Origin of Schumpeter's Entrepreneur: Nicholas W. Balabkins has demonstrated that Schumpeter found the idea of the disruptive entrepreneur in a book by A.E.F. Schäffle (1831-1903), a source, that Schumpeter has never acknowledged by himself. Schäffle was a professor at the Universities in Tübingen and Vienna, Austrian minister of commerce, and author of 33 books. Balabkin found the Schumpeter-like entrepreneur described in a book published 1867 called "Die national-ökonomische Theorie der ausschliessenden Absatzverhältnisse, insbesondere des literarisch-artistischen Urhebberrechts, des Patent-, Muster-, u. Firmen-schutzes nebst Beiträgen zur Grundrentenlehre." (The Economic Theory of Restrictive Sales Conditions in Relation to Literary-Artistic Copyrights, Patents, Trademarks and the Firm's Goodwill, Together with Contributions to the Rent Theory). [Note 184]
Details for Kazaa:
Details for Skype:
According to this account, Friis and Zennström are classical entrepreneurs in Schumpeter's definition.
Gareth Morgan has in his book "Images of Organization" shown how to regard organizations with various metaphors. [Note 185] One of the metaphors that he uses is "Organizations as Brains".
Morgan states that there is a direct connection between artificial intelligence and the Internet when you regard both with the brain metaphor. The principles of artificial intelligence called "Cybernetics" were developed by Norbert Wiener during the 1940's. If a system shall be able to regulate itself, it must depend on exchange of information and negative feedback. [Note 186] The general rule of a simple cybernetic system is to avoid undesirable system states, "Thou shalt not", or what Morgan call
"avoiding noxiants defining a space of acceptable behavior within which individuals can act, innovate, or self-organize as they please." [Note 187]
The principle of avoidance operates in quite complex areas of social life such as legal rules, the Ten Commandments, or the Internet. According to Morgan, the Internet offers a perfect example of the problems of design in complex, open-ended systems:
This lack of rules is yet the reason for another rule, the rule of avoidance. We tell other users what they should not do, for example "Do not distribute junk mail". For Morgan, this confirms the brain-like, self-organizing organization of the Internet:
"As a result, the Internet is evolving within the space defined by key parameters. Experience and practice tests the limits thus defined, giving rise to a redefinition of limits when appropriate. In this way, the Internet is self-organizing in a way that is producing an emergent design. As in the developing intelligence of the brain, resonant innovations become embedded in the evolving 'architecture'" [Note 189]
Wise words and stated in 1997, when the Internet was still young.
In 1998 Larry Downes and Chunka Mui described the booming Internet business in their book "Unleashing the Killer App Digital Strategies for Market Dominance." [Note 190]
Downes and Mui discuss killer applications throughout history, especially the stirrup, which made it possible for a mounted fighter to strike with a lance without falling off his horse. Around the year 740 the Franks' victory over the Saracens changed European military strategy and gave place for the specialized fighters of the cavalry, and with that a new class of landed gentry. The Franks were led by Charles Martel. [Note 191]
Charles Martel's grandson Charlemagne visits Pope Adrian I. Note Charlemagne's stirrup. [Note 192]
It is the authors' view that the Internet is a killer application like the stirrup was 1250 years ago.
Downes and Mui are founding most of their recommendations on Moore's law [Note 193] and Metcalfe's law. Robert Metcalfe, the designer of the Ethernet protocol for computer networks, observed that new network technologies are valuable only if many people use them. Specifically, the usefulness of a network equals the square of the number of users, a function known as Metcalfe's Law. That is: If you have the double number of users compared to a competitor, then the usefulness of your network is four times higher.
An example: In section 4.4.c is a table describing the number of users in the various telephone and messenger networks. According to Metcalfe's formula, the customers' relative value of a network is the square of the number of users as shown in the figures below. Please note, that the networks are difficult to compare, as the various companies offer various kinds of service for their customers.
Downes and Mui in 1998 described the effect this way:
"Developers of today's digital technology are conscious of Metcalfe's Law, and they are developing counterintuitive rules necessary to optimize and exploit it. The most dramatic demonstration of Metcalfe's Law during the digital age has been the explosion in the early 1990s of the Internet, a network of computers and a set of standards that makes it easy for computers to share data. ...
Downes and Mui propose that open systems like the Internet browsers Mosaic and Netscape were killer applications like the stirrup was in the 740's. To get maximum exposure for Mosaic, the founder Marc Andreessen lowered the price of the software to zero. But how to earn money when you give your main product away? In Netscape's case the company derived revenues from advertisements and software tools for building and managing web sites.
"Netscape captured 80 percent of the browser market within months of its first product release in 1995 by giving away millions of copies of its software. ... giving away Navigator costs little in real dollars. Thanks to the Internet itself, users simply download the software, using their own phone connection, their own machines, and their own electricity. The marginal cost of each "copy" of Navigator that Netscape has given away is not effectively zero, it is actually zero. ... Navigator hit the Metcalfe curve at warp speed, with critical mass and the predictable explosion occurring not in years but in months. ... The Internet itself is their low-cost channel for advertising, product development, manufacturing, and distribution." [Note 195]
"Unleashing the Killer App" is in some ways quite outdated. The Internet had existed in various forms for many years, but reached critical mass in 1993. The Killer App book is published five years later in the middle of the Internet bubble. From 1998 until the time of writing this paper eight years has passed. Downes and Mui get it right on page 16 where they consider "telephone services over the Internet". But in all other parts of the book they use the telephone to describe a part of the predigital networks:
"Consider the telephone. How useful is it? Your answer depends entirely on how many other telephones there are and on how easily they can be interconnected. One phone is useless, a few phones have limited value. A million phones create a vast network, ...
For the phone system, or the power system, the initial investment in network infrastructure was high, which kept the price of access high. In the case of railroads and telephones, initial developers failed to appreciate the value of interconnection (in essence, the power of the Metcalfe curve). ... In the predigital age, Metcalfe's Law could take decades to unleash network power." [Note 196]
Downes and Mui's description of telephone systems sounds like Schumpeter's railways in the Austrian Empire, a world that was largely protected from global and digital competition.
The lock-in effect is an expression used to describe a customer's reluctance to change between suppliers. If the customer chooses another supplier, he may have to change procedures, buy additional equipment, etc. Microsoft Corp. is known as a vendor that is very clever in using the lock-in mechanism so that its customers are reluctant to change to other suppliers, and here are two examples concerning operative systems:
The lock-in effect is important in networks like telephone systems. It is an advantage to be the first mover, as most customers stay with their first choice. Even if telehony is free, any firm will create costs and loose revenue if it changes to another supplier of telephony. In this way the lock-in effect is working both for Microsoft and for Skype even when most of Skype's offers are free.
Friis and Zennström have learned the lesson well. Twice they have created worldwide networks with the characteristics that Downes and Mui emphasize:
As a result Friis and Zennström twice reached the "knee" in the Metcalfe curve at an astonishing speed. Kazaa is the world's most downloaded software yet, and Skype developed to be a worldwide telephone service in only two years after the launch.
Further, they went for the lock-in effect when they followed Tim Draper's advise from section 4.3.b: "viral adoption and minutes of voice traffic rather than a false economy of early profit"
Finally, Morgan's three dicta from section 5.3.a yield nearly unlimited space for Friis and Zennström to define profitable business plans:
In December 2002, Janus Friis told Politiken:
"... There is a lot of luck in Kazaa's success, a kind of snowball effect. Our starting point was that the program should be super-easy to use ..." [Note 199]
How come, that some businessmen seem luckier than other? I am not going to discuss luck and bad luck in the superstitious sense of anything "unnatural" happening, but here are two approaches from Armen Alchian and Jakob Nielsen.
Armen Alchian shows how chance or luck is one way to achieve success, as he distinguishes between sheer chance and conscious adapting:
To describe the role of sheer chance, or luck, Alchian proposes an unrealistic, but useful, approach to distinguish between the two criterions. In the example the individuals are barred from acting with conscious foresight:
"Assume that thousands of travelers set out from Chicago, selecting their roads completely at random and without foresight. Only our "economist" knows that on but one road are there any gasoline stations. He can state categorically that travelers will soon run out of gas. Even though each one selected his route at random, we might have called those travelers that were so fortunate as to have picked the right road wise, efficient, foresighted, etc. Of course, we would consider them the lucky ones.
If gasoline supplies were now moved to a new road, some formerly luckless travelers again would be able to move; and a new pattern of travel would be observed, although none of the travelers had changed his particular path. ... All that is needed is a set of varied, risk-taking (adoptable) travelers." [Note 201]
It will be possible for an economist to tell which participants that will now become successful, and in this way Alchian shows that the system is able to direct resources even if the individual travellers are ignorant of their self-interest.
"With a knowledge of the economy's realized requisites for survival and by a comparison of alternative conditions, [the economist] can state what types of firms or behavior relative to other possible types will be more viable, even though the firms themselves may not know the conditions or even try to achieve them by readjusting to the changed situation if they do know the conditions. It is sufficient if all firms are slightly different so that in the new environmental situation those who have their fixed internal conditions closer to the new, but unknown, optimum position now have a greater probability of survival and growth." [Note 202]
Jakob Nielsen is a Silicon Valley expert on Internet usability. since 1995 he has been the author of a widely read newsletter. Here are three examples of conscious adapting for the good luck:
1. Here's an example of good luck from a test with disabled users trying to use the website of the U.S. tax authorities (IRS):
2. People are sometimes lucky on a website and get exactly what they want in fewer clicks than expected:
"Maybe, for example, they're looking to buy something that happens to be the homepage's featured promotion that day.
In other cases, some users happily skirt gross usability mistakes that cause other people grave difficulties and much frustration."
3. Or they may be unlucky because of small, but real defects in the design's usability:
"What qualifies these flaws as bad luck is that, under rare circumstances, they condemn users to terrible misfortune. If things had gone a tiny bit differently say, a user had scrolled down one line further he or she might have had good luck and a very pleasant user experience.
Although the data shows that most users will avoid bad luck in their next online task, you can't just say "better luck next time"; if you do, their next user experience will likely be on somebody else's website.
People leave websites that hurt them they don't know that it's just bad luck, and that next time will be better. It's therefore incumbent on you to hunt down the root causes of bad luck and eradicate them from your site." [Note 203]
The risk thermostat
When we consider the importance of luck, it must also be noted, that in courting luck you may also court disaster and bankruptcy. For example Henry Mintzberg in his 1983 book "Power In and Around Organizations" noted that there are two principal goals for a Chief Executive Officer, which are the survival and the growth of the firm, and that the two may contradict each other. [Note 204] Any CEO may feel forced to investments that threaten the firms's survival if they go wrong, and as Alchian stated:
"Each possible action has a distribution of potential outcomes, of which one will materialize if the action is taken and that one outcome cannot be foreseen." [Note 205]
To treat the question of risk I will include a theory that originally stems from a British researcher in traffic accidents. John Adams writes in his book "Risk":
"How to stay out of trouble? ... It appears to be a skill that we do not want to master completely."
John Adams proposes a theory of risk compensation called the risk "thermostat". The model postulates that:
It is obvious that luck has smiled upon Friis and Zennström, but was it by sheer chance or by conscious adaptation to the situation? My opinion is that they may have prepared themselves very well by consciously adaptating, but sheer chance may have played a role as well.
In section 4.4.i I asked: How come that Friis and Zennström could come up with the ideas of Kazaa and Skype and realize them? In Berlingske Tidende, Morten Lund told of his impression:
"Janus Friis is visionary like a madman and Niklas Zennström is fabulous to execute the ideas and to organize their employees. ... They are always on the edge of craziness amounting to genius."
"Being on the edge of craziness" that doesn't sound well. Or does it? We have a queer respect for the crazy ones. In a way it is like none of us in earnest want to be completely sane.
Adam Phillips is a British psychoanalyst who in 2005 published the book "Going Sane". He describes our strange relationship to the wish of being sane but not too sane. In his book he is wondering what we in reality want to do, and how we tell others about it:
"Imagining possibilities for ourselves involves telling stories about what we think we are like, what we think we want, and what we think we are capable of."
He finds that as nobody seems to care about being a bit mad, and that we are risking our sanity by heading narrow-minded for our goals:
"It is possible that in losing heart about our sanity in not describing or addressing it we are losing more than we realize. It means, even at its most minimal, that we are becoming extremely narrowminded about what we want, about imagining possibilities for ourselves." [Note 208]
And sheer madness is a dangerous property. We only accept it if connected to genius:
"Madness requires genius to make it viable. Indeed that may, ultimately, be what genius is, what sanity has to be: a talent for transforming madness into something other than itself." [Note 209]
Adam Phillips is supported by Darrell Huff who is in doubt what is normal, and mentions that "normal" is not always the desirable state:
"Hardly anybody is exactly normal in any way, just as one hundred tossed pennies will rarely come up exactly fifty heads and fifty tails. Confusing "normal" with "desirable" makes it all the worse." [Note 210]
I agree with Darrell Huff in that it is dangerous to mention a subject with a high emotional content without hastily saying whether you are for or against it. [Note 211] So I will simply say that I do consider neither Friis nor Zennström mad.
Economics can be difficult to understand, and it is quite usual for economists to borrow images or metaphors from the natural sciences. For example Schumpeter gives an account of the terms "static" and "dynamic":
"The terms static and dynamic were, although in a different sense, introduced into economics by John Stuart Mill. Mill probably had them from Comte, who, in turn, tells us that he borrowed them from the zoologist de Blainville." [Note 212]
Later in the book Schumpeter discusses whether economic systems develop continually like natural systems do. His answer is that they do not:
"Our question is: does this whole development which we have been describing proceed in unbroken continuity, is it similar to the gradual organic growth of a tree? Experience answers in the negative. It is a fact that the economic system does not move along continually and smoothly. Counter-movements, setbacks, incidents of the most various kinds, occur which obstruct the path of development; there are breakdowns in the economic value system which interrupt it." [Note 213]
But... "hier irrt Schumpeter". This is a false discrepancy; as such interruptions exist in natural systems as well. Economists use biology to explain economy, and biologists do vice versa!
Gareth Morgan explains changes in organizations by employing the image of forks on the road: They usually arise around key paradoxes or contradictions that block the way to the future. Systems seldom change gradually they either choose the old road or a new road. Systems that move away from the influence of a dominant attractor pattern towards a potential new configuration encounter forks on the road (bifurcation points), at which energies for change shift the system into a new form or dissipate and dissolve in a way that allows the old attractor to reassert itself. [Note 214]
The ball will find its way, but which way?
The image of the ball rolling downhill stems from the Scottish biologist C.H. Waddington. He used it as an illustration of how embryo mammals canalize their DNA into their full-grown forms. Just a little change in the landscape may change the choice so that the ball will end somewhere else than in the usual, expected place. [Note 215]
The emergence of new species: The Danish biologist Jesper Hoffmeyer has suggested a set of conditions for new species to arise: Normally, aberrant types will be wiped out by the Darwinian selection. But the selection will not be as strong in the outer fringe of the species' area as in the centre. Here, distinctive characters may be allowed to spread, and with them also secondary modifications. Under favourable circumstances some of these secondary modifications could happen to stabilize the new, distinctive characters. If the new species is discretely stabilized, it may later be able to compete with the original species in the centre as well. [Note 216] The biological species will experience counter-movements, setbacks, and incidents of the most various kinds just like Schumpeter's economic systems above.
Jesper Hoffmeyer proposes that one may regard the social world as a homeostatic system connecting technology, consciousness, organization, and world description. Like Leavitt's diamond, one cannot change one part of the system without changing at least one of the other parts as well.
Hoffmeyer employs the image of a train with a locomotive (technology and consciousness) and a heavy wagon (organization and world description) to illustrate the possibilities for societal development.
Mostly, the train will pass through wide valleys, but sometimes it must cross a mountain ridge. Uphill the locomotive (technology and consciousness) are doing the hard work incited by vague ideas about the wonderful possibilities in the next, faraway valley - while the wagon (organization and world description) resist with all of its weight.
From the top of the ridge there is a clear view of the new valley. The old world description cannot explain the new valley and will quickly transform into a new world description. The technological possibilities of the new valley will be legalized, and the train can enter the new valley.
After passing the ridge, the heavy wagon will push the train downhill. Because of the speed, the new organization and world description may even create problems and instability for the technology and consciousness. Later there will be a new, stable homeostasis between the four parts of the system. [Note 217]
Forks in the road: A little change in the input may create a huge change in the outcome. A sudden change in Alchian's luck (section 5.4.a) will be enough, and the customers will prefer Internet telephony instead of ordinary telephony. If you combine that with the lock-in effect (section 5.3.e) you will see, that the little change may have permanent consequences.
The emergence of new species translated into economics: Skype was allowed to emerge in the fringe of the telephone market, and the others laughed at it, as when AT&T's officer Hossein Eslambolchi said: "What Skype is doing is like a toy, they will realize they can't scale it, they..." (section 4.3.a). But Skype had some of Alchian's two kinds of luck and managed to attract millions of customers. The members of the ordinary POTS species had to recognize that here was a dangerous, new species that grew quickly extremely low costs.
Changes in the world description: Right now we experience an unknown world description, an enormous technical development, and in the middle of the unknown is the Internet:
Klaus Riskær Pedersen's words from section 4.4.i may be a warning that a completely new world description is ahead:
"Their message is that the development will be stronger than the rules, so that if the development is right, the rules will be changed."
Here is an overview of the opportunities and strengths at the moments when Friis and Zennström founded Kazaa in 2000 and when they founded Skype in 2003.
During this analysis I will take into regard what are causes and what are effects. For example I consider all marketing efforts as instances of Huff's unclear cause and effect they may be cause and effect at the same time.
Internal Strengths (1) The Business Plan:
Internal Strengths (2) Cooperation with Venture Capital:
Internal strengths (3) The Internal Cooperation:
Internal strengths (4) Technical Questions:
Internal Strengths (5) Marketing, which may be both cause and effect at the same time:
Internal Strengths (1) - The Business Plan:
Internal Strengths (2) Cooperation with Venture Capital:
Internal strengths (3) The Internal Cooperation (as with Kazaa, see above)
Internal strengths (4) - Technical Questions:
Internal Strengths (5) - Marketing:
Why were Friis and Zennström successful with Kazaa and Skype?
Causes in the case of Kazaa:
Causes in the case of Skype:
1. Friis and Zennström started again in 2003 with a disrupting idea, this time in the telecom industry
2. They chose again to exploit the well-known peer-to-peer technology
3. They declared that from now on telephony was free for all. They offered a user-friendly program with good sound quality and an ability to penetrate firewalls.
4. They used viral marketing only, and let their customers do the marketing work
5. Their technology appeared to stand up to millions of simultaneous users