t-109.4300 network services business models of innovation • new or improvedproduct, service or...
TRANSCRIPT
Agenda
© Sakari Luukkainen
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14.1. Introduction, Sakari Luukkainen21.1. Theoretical frameworks, Sakari Luukkainen28.1. Business model design, Sakari Luukkainen4.2. ICT in business process, Sakari Luukkainen11.2. STOF cases, Olli Mäkinen25.2. Cloud computing, Sakari Luukkainen4.3. Green ICT, Sakari Luukkainen11.3. Mobile cloud computing, Sakari Luukkainen18.3. Mobile ecosystems, Juha Winter25.3. ICT start-up development, Aaltoes & Android Aalto1.4. Summary, Sakari Luukkainen
10.4. Examination
© Sakari Luukkainen Sources: Distimo, Foresman, 2010; Sristava, Lara, 2006;Shapiro & Varian, 19992
ICT innovation growth
Characteristics of innovation• New or improved product, service or process from a
market point of view, which contains newtechnological solutions based on R&D investmentsand has been commercially successfully introducedto the market.
• Ultimate commercial success requires innovation inthe whole value network of companies.
• The innovator gets competitive advantage throughtiming advance and IPR protection by patents – shortmonopoly.
• Monopoly will loosen through trade of patents andlicenses or knowledge spillovers when competitorscopy the technology and proprietary technology getscommon to all players in the industry.
R&D investment
Product innovation
Service innovation
Process innovation
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Incremental change
Discontinuous change- competence, product, market
Mag
nitu
deof
chan
ge
TimeSource Tushman, 1997
New entrant
Technology evolution and revolution
Technology competitionM
arke
tSha
re(%
)
Time
100
50
Winner
Loser
Battle zone
5
© Sakari Luukkainen
Source: Shapiro & Varian 1999
Positive feedbackmakes the stronggrow the stronger andthe weak weaker.
Technology competition
© Sakari Luukkainen
6 Source: Shapiro & Varian 1999
Valu
eto
Use
r
Number of Compatible Users
Virtuouscycle
Viciouscycle
Dominant design is a technology thatwins the allegiance of the market place. Itusually takes the form of a new product orservice synthesized from technologicalinnovations.
Innovation over time
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cost of changes
information
degrees of freedom
market uncertainty
Time
Market uncertainty
• Market uncertainty refers to the inability of vendors andservice providers offering new communications solutions topredict the latent end user needs.
• The uncertainty exists partly also because users do not knowwhat they want until they see and use it.
• When users are first introduced to a new technology theytend to view it in the context of the older technology. They donot know enough about the new technology to understand itspossibilities.
• Users’ needs evolve hierarchically from basic features tomore sophisticated ones along with the technology evolutionas they become more educated about its benefits.
© Sakari Luukkainen
8 Source: Gaynor, 2003
Managing market uncertainty
• Rather than analyzing the market and selecting the best alternative,new services should be developed by successive approximations,that is, by introducing early versions of the product into the initialmarket, learning from the experience, modifying the product andapproaching the market on the basis of better new information incircumstances of lower uncertainty.
• A successful convergent technology and market vision is oftenfound by technology- and business-oriented individuals who workedclosely together from early on.
• In conditions of high market uncertainty, competition is feature-based differentiation and price-based in low market uncertainty.
• When market uncertainty is high, being lucky with a correct guessabout the market is likely to produce more revenue than being rightin markets with low uncertainty.
© Sakari Luukkainen
9 Source: Gaynor, 2003
Managing market uncertainty
• The usage of a flexible, modular system architecture in theintroductory phase of a new communications platform, when themarket uncertainty is high, enables experimentation of suitable newservices especially when they are targeted at latent end users’ needs.
• This understanding of such a derived demand that is related to thenew telecommunications services has been found to be a successfactor for the vendors in telecommunications.
• Nobody predicted in the early 90´s what Internet is today and itsimpact to society.
• The flexible layer architecture of the Internet enabled new servicedevelopment according to contingent market development withoutlarge changes in the underlying infrastructure.
© Sakari Luukkainen
10 Source: Gaynor, 2003
© Sakari Luukkainen
Innovation diffusion
Num
bero
fUse
rs
Time
Saturation
Launch
Takeoff
Criticalmass
Late majority
Early majority
Early adopters
Source: Rogers, 199511
Innovators
Leapfroggers
Laggards
Innovators
Innovation diffusion
• Relative advantage (price and performance) over competingtechnologies substitutes
• Compatibility with the values, norms, needs, and experienceof the end users
• Low complexity
• Easy trialability of the early adopters
• Observability of innovation, the visibility among the usercommunity
© Sakari Luukkainen
12 Source: Rogers, 2003
Economies of scale
• ICT services have high fixed costs but low marginal costs -they are costly to produce but cheap to reproduce
• Supply-side economies of scale exist when the cost perunit decreases as more units of the good are produced
• The net value of the last produced unit [= (€ amountconsumers are willing to pay for the last unit) - (average perunit cost of production)] increases with the number of unitsproduced
© Sakari Luukkainen
13 Source: Shapiro & Varian 1999
Network externalities
• Demand-side economies of scale exist when the value of asubscription to the network is higher when the network has moresubscribers. This is also known in economics as network effect ornetwork externality.
• Network externalities arise because a typical subscriber can reachmore subscribers in a larger network.
• A network exhibits network externalities when the value of asubscription to the network is higher when the network has moresubscribers.
• Metcalfe´s law: total value of network = n * (n-1) = n2 – n [n peoplein a network]
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Network externalities• Physical networks connect users directly to each other (e.g., railroad,
telephone line), whereas virtual networks connect users indirectly. Virtualnetworks are a collection of compatible goods and services that share acommon technical platform.
• Network externalities arise in virtual networks because larger sales of good Ainduce larger availability of complementary goods B1, ..., Bn, thereby increasingthe value of good A. The increased value of good A results in further positivefeedback.
• Complementary goods are additional products or services that enable orenhance the value of another good. In some markets, it may be important toattract producers of complementary goods in order to attract users.
• The number of units of a platform in actual use is also known as the installedbase of the technology. The installed base can be an effective way of gaugingthe popularity of a platform and, thus, the strength of its network externalities.
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Two-sided networks
• Two-sided networks are platforms that have two distinct usergroups providing each other with network benefits. Benefits to eachgroup exhibit demand-side economies of scale.
• In a two-sided network, members of each group exhibit apreference regarding the number of users in the other group; theseare called cross-side network effects. Each group’s membersmay have preferences regarding the number of users in their owngroup; these are called same-side network effects.
• Consumers, for example, prefer credit cards honored by moremerchants, while merchants prefer cards carried by moreconsumers.
• Two-sided networks are also useful in explaining many free pricingor "freemium" strategies where one user group gets free use ofthe platform in order to attract the other user group.
© Sakari Luukkainen
16 Source: Wikipedia
Cross-side
Same-side
Switching costs
• When there are substantial switching costs in movingfrom one technology or service to another, users facelock-in.
• Investments in varying complementary benefits relatedto the actual ICT investment influence switching costs.
• Sonera & Elisa example: low number of movingcustomers before portability of telephone number.
• iki.fi e-mail solution to reduce switching cost.
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Type of lock-in Switching costs
• Contractual commitments
• Durable purchases• Complementary products• Brand-specific training• Information and db• Specialized suppliers• Search costs• Loyalty programs
• Compensatory or liquidateddamages
• Replacement of equipment• Replacement of equipment• Learning new system• Converting data to new format• Finding of new supplier• Learning about quality of altern.• Lost benefits from existing
supplier
© Sakari Luukkainen
18 Source: Shapiro & Varian 1999
Switching costs
• Existing installed customer base with high switching cost is asignificantly valuable asset
• Acquiring a new customer is much more expensive than keeping anexisting one
• Total switching cost = costs the customer bears + costs the newsupplier bears
• The present discounted value to a supplier of a locked-in customer isequal to total switching costs plus the quality or cost advantage ofcurrent supplier’s product
• Collective switching costs (e.g. group pricing of mobile calls)
© Sakari Luukkainen
19 Source: Shapiro & Varian 1999
Openness vs Control
Your
Sha
reof
Indu
stry
Valu
e
Total Value Added to Industry
Control
Open
Your Reward
Optimum
20
© Sakari Luukkainen
Source: Shapiro & Varian 1999
Open innovation
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Source: Chesbrough, H. (2003). Open Innovation: The NewImperative for Creating and Profiting from Technology
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Internet Service Evolution
websitee-commerce
e-businessvalue networks
ecosystems
-Order and payonline
-Reduction oftransactioncosts
-Maximizeaccessibility tonew markets
-Visibility in theglobal market
-Diffusion andgathering ofinformation
-Supply chainintegration
-Economy inthe value chainintegration
-Reduction ofcost
-Portals
- New Internetbusiness modelsbased onorganizationsinternetworking
-Virtualenterprises
-ExampleAmazon,Google/Android,Apple
-Dynamicaggregation ofservices
-Naturalselection andevolutionamongservices
-Examplemashups, opendata and APIs,HTML5
Extent of organizational change and ICT exploitation
Businessbenefits
Adapted from Nachira, F. et. al. (2002)
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Value network Business ecosystem
Structure Organized by one actor,reasonably static
Self-organizing, dynamic
Competition andcooperation
Cooperation Both simultaneously
Role of end users Passive Active role in selectingservices and thus actors in theecosystem
Knowledge Sharing limited tooperational information
Openness of the technologyplatform as the motivator ofcooperation
Control One powerful actor Decentralized decision making
Entry barriers High Low
Managing a value network• Search for consensus with complementors about technical
standards and how they interface with platforms
• Consensus needs to be forged by one company driving theprocess
• Platform leaders should be industry enablers, they shouldhelp others innovate in better ways around the platform
• Platform leaders should not unnecessarily step out of theirsystem boundaries into that of their complementors
• Leaders can reduce external tensions by acting on behalf ofthe entire industry
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Amazon’s value network
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• Relatively stable• Contractual agreements• Dominant player controls• Physical goods require
expertise in logistics andinventory management
Network Operators/ ISPs
End users
Developers
Data / ServiceProviders
Amazon
Advertisers
AffiliatesVendors
Amazon.com Value NetworkArto Kettula (2009)
Business ecosystems
© Sakari Luukkainen
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dynamic structure which consists ofinterconnected population oforganizations
unclear borders ..
is self-sustaining ..
experimentation…
develops through self-organization,emergence, co-evolution …
contains competition and cooperationsimultaneously
combined knowledge and capabilities Characteristics of business ecosystem.Mirva Peltoniemi (2005)
Dynamics
Coupled withchanging
environment
Businessecosystem
Large numberof participants
Interconnectedness
Interaction
Competition andcooperation
Shared fate
Conscious choice
Aims at innovationsand commercial
success
Open mashup ecosystem
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• Developers make highly customized services which would beunprofitable to create for the API provider
• Combining data from multiple sources allows the developers tocreate more valuable and innovative services for end users
• High level of usage of open source software, data and platforms• Reusing existing services enables faster service development• API providers gain visibility for their brands and more traffic to
their main sites• Brokers decrease switching costs between developers and API
providers
Long Tail of Mobile Services
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IIIOpen Ecosystem
IIApp stores
Serv
ice
Rev
enue
s
AppStore
IOperator services
Number ofServicesCall & Share
Mobile Email
BusinessServices
Voice SMS/MMS
PoC
Mobile TVHomeEntertainment
Windows phonemarket Google Play
Ringtones
APIs, mashup, HTML5
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ICT innovation growth - summaryN
umbe
rofU
sers
Time
Network effectsEconomies of scale – lower cost/priceTwo-sided networks
Switching costs
Revolution - evolution
Value network - ecosystem
Latent needs - Market uncertainty
Critical mass
Cost of changes
Degrees of freedom
Experimentation – innovators - differentiation
Early adopters / majority
Complementarity – virtual networks
Installed base
Dominant design
Technology competition – virtuous cycle
Openness - control