Value creation mechanisms in Web environments

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Value creation mechanisms in Web environments university of Aegean Michalis Vafopoulos, 2008 SDP in Web Science, Oxford

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Value creation mechanisms in Web environments. university of Aegean. SDP in Web Science, Oxford. Michalis Vafopoulos , 2008. contents. Digital goods: definition/characteristics How Web is related to digital goods Limit the plethora of opportunities & threats that Web creates - PowerPoint PPT Presentation

Transcript of Value creation mechanisms in Web environments

Page 1: Value creation mechanisms in Web environments

Value creation mechanisms in Web environments

university of Aegean

Michalis Vafopoulos, 2008

SDP in Web Science, Oxford

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contents

•Digital goods: definition/characteristics•How Web is related to digital goods•Limit the plethora of opportunities & threats that Web creates

•network effects • definition/fundamental components• sources of positive network effects• Metcalfe’s Law• Reed’s Law• criticism• negative network effects• fundamental value components of the Web

•more questions from economics•Conclusions

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Digital goods – definition [Quah]

• bitstrings, sequences of 0s and 1s, which have economic value or

• a set of economically valuable instructions

• examplesIdeas and knowledge, computer software, visual images, music, databases, videogames, blueprints, recipes, DNA sequences, codified messages etc

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Digital goods - characteristics

• nonrivaluse by one agent does not degrade its usefulness to any other agent [ideas, mathematical theorems, S/W, opposite: water]• infinitely expansible its quantity can be made arbitrarily large arbitrarily quickly at (almost) no cost [mp3 songs, digital pictures] • discreteinstantiate only to quantity 1 - indivisibility• aspatialthey are both nowhere/everywhere at the same time [Virtualization, Lévy]• recombinantcumulative and emergent/ new digital goods that arise from merging antecedents have features absent from the original

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Web widens these characteristics…

by promoting the following activities at low cost:• Communication• Collaboration• Knowledge Representation• Reasoning & inference(?)

The result is changes in:• Time• Space• Quantity & quality of options

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Web creates “unlimited” options

“unlimited” opportunities, i.e.• innovative technologies• social inclusion• regional development• collaborative research…

and “unlimited” threats:• identity theft• frauds• addictions…

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How can we limit this chaos? [1]

impose hypotheses… starting byWhat information consumes is rather obvious: it consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention, and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.

Herbert Simon, Nobel economics 1978

• micro foundations of consumer’s & firm’s behavior in the Web

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How can we limit this chaos? [2]

Network effects

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Network effects

• Some goods/services create more value when more users consume the same goods and services.

• They have little or even no value if they are used in isolation.

• The consumers using these products constitute networks in which the utility derived from consumption of these goods/services increases as additional consumers purchase the same goods and services.

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Fundamental components of network effects

• Expectationswhen we choose BlueRay format we believe that it will become a standard• Coordinationreduce the risk of choosing the wrong network. Difficult in big networks.Compatibilitytwo products are compatible when the cost of combining them to generate services is freeSwitching Costsbarriers to transfer from a network to another

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Sources of positive network effects

• Producer economies of scale & learning curves• Economies of scale• Benefits of cumulative experience “Learning-by

doing” (Brian Arrow)• Learning-by-using• Informational increasing returns

• As technology gets used, the whole community figures out how best to apply it

• “The Dynamo and the Computer” (Paul David)

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Metcalfe’s Law [1]

• Robert Metcalfe, inventor of Ethernet - founder of 3Com• rule of thumb• the value of a network can be measured by the number

of connected objects• where “n” is the number of machines (PCs, phones,

people) connected, the value of the network is “n” squared

• is supported from the data insemiconductor industry

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Metcalfe’s Law [2] • After critical mass the benefits of a network grow

larger than its costs [C*N=A*N^2 , N=C/A is critical mass]

N: network size, C:cost per connection, A: value per connection• The value of a network can not always grow. It may

actually starts going down after some size N'>N

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Reed’s Law: Group Forming Networks [1]• GFNs have functionality that directly enables &

supports affiliations (i.e. interest groups, clubs, meetings, communities) among subsets of its customers.

• Group tools/technologies with common theme (user-defined mailing lists, chat rooms, discussion groups, market makers & auction hosts etc)

• aggregate value of a GFN is proportional to the number of non-trivial groups that can be constructed from N nodes (users or members).

• N users, construct a total of 2N−N−1 non-trivial groups

of sizes between 2 to N members.

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Reed’s Law: Group Forming Networks [2]• total network value according to Reed’s Law scales

exponentially with N (2N)

•Example eBay.com online auction market site where any subset can form an auction

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www.eBay.com

Pez

Beanies

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What about the Web?

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eras description basic value source

Pre Web 1980’s

The desktop is the platform Computations[no network effect]

Web1.0:90’s

documents“Surfing” Web: The browser is the platform

hyper-linking of documents

Web2.0: 00’s

peopleSocial Web: The Web is the platform

social dimension of linkage properties

Web3.0:10’s

dataSemantic Web: The Graph is the platform

URI-based semantic linkages

Web4.0:20’s

abilitiesMetacomputing: The network is the platform

+ processing power hyper-linking

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Criticism • In real life, Reed’s Law means that the total value of a

large network doubles every time a new person joins! • No theory behind them• This kind of valuation model ignores key factors—

competition/saturation/complexity-burocracy.• Each new connection or GF with same N adds the same

value [false assumption]• the smaller network gains considerably more than the

larger one. This produces an incentive for larger networks to refuse to interconnect without payment, a very common phenomenon in the real economy [Odlyzko &Tilly]

• What about negative network effects?

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Negative network effects [1]Generaldigital divide is becoming more expensive both in social and economic terms for people out of the network generating: • new democratic deficit [Vafopoulos]: a metastasis of

digital divide which possesses two dimensions: (a) the lack of effortless and free access to

information and communication for all citizens and (b) unauthorized and no voluntary access to

personal data from third parties.

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Negative network effects [2]• security, trust• privacy, identity theft, fraud• personal data aggregation and exploitation from

governments• congestion externality“overuse” of network resources lowers performance (i.e. bandwidth)

• challenge• identify & model network effects in social, economic

and policy terms

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Fundamental value components of the Web

• Which are the “competitive” networks?• in document “storage” and “exchange” i.e. libraries

and paper

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eras Expectations Coordination Compatibility Switching Costs

Web 1.0 Very low Low Very low Very high

Web 2.0 High High High Low

Web 3.0 Very high Very high Very high Very Low

Web 4.0 Very high Very high Very high Very Low

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The same comparison can be done for…

1. Communicationi. Mobile phonesii. Languageiii. …

2. knowledge representation3. Learning

i. e-learning =failure (high switching costs)4. Selection process

i. e-voting =failure (high switching costs)…

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more examples from economics

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• Transaction cost (Coase) occurs when a good/service is transferred across a technologically separate interface

• explains positive network effect in Web environments

Research questions• Are there upper limits to the utility of the freedom that

decentralisation has produced?

• How easy will it be to describe the Web in game theoretic/rational choice terms?

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more examples from economics

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• As the number of users increases, will the chances that the choices that one makes impinge on the range of choices available to others increase, or is that an illegitimate extrapolation from the real world with fixed spatial parameters?

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and a philosophical question…• It is not just information that must be free, but the

knowledge of how to use it.• The test of a free society is not the liberty to consume

information (Web 1.0), nor to produce it (Web 2.0), nor even to implement its potential in private world of one's choosing (Web 3.0 and 4.0).

• The test of a free society is the liberty for the collective transformation of the world through abstractions freely chosen and freely actualised.

M. Wark, the manifesto of a hacker

Could be the definition of utopia after digital revolution?

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reviewA research frameworkDigital goods, Web how we limit the chaos of opportunities and threats

Research tools• Laws for value creation in networks• Fundamental value components in networks[Expectations, Coordination, Compatibility, Switching Costs] which applies to any kind of analysis

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Thanks for your attention.Michalis Vafopoulos