services science: an open innovation perspective on studying innovation in services
DESCRIPTION
Services Science: An Open Innovation perspective on studying innovation in services. Henry Chesbrough Executive Director Center for Open Innovation, IMIO Haas School of Business. The Current Paradigm: A Closed Innovation System. Science & Technology Base. The Market. Research - PowerPoint PPT PresentationTRANSCRIPT
1
Services Science:An Open Innovation perspective on studying innovation in services
Henry ChesbroughExecutive Director
Center for Open Innovation, IMIOHaas School of Business
2
The Current Paradigm: A Closed Innovation System
ResearchResearchInvestigationsInvestigations
DevelopmentDevelopment New ProductsNew Products/Services/Services
TheMarket
Science&
TechnologyBase
R D
3
CurrentMarket
InternalTechnology
Base
R D
The Open Innovation Paradigm
Technology Insourcing
New Market
Technology Spin-offs
ExternalTechnology
Base
Other Firm’s MarketLicensing
Closed innovation
Our current market
Our new market
Other firm´s market
Open innovation
External technology insourcing
Internal technology base
External technology base
Stolen with pride from Prof Henry Chesbrough UC Berkeley, Open Innovation: Renewing Growth from Industrial R&D, 10th Annual Innovation Convergence, Minneapolis Sept 27, 2004
Internal/external venture handling
Licence, spin out, divest
5
IBM’s Business Model, BeforeV
alue
-Add
ed A
ctiv
ities
Materials
Chips, devices
Computers
Operating Systems
Applications
Productivity SW
Atoms
Solutions
Value Chain
All IBM – pre 1993
6
IBM’s Business Model - AfterV
alue
-Add
ed A
ctiv
ities
Materials
Chips, devices
Computers
Operating Systems
Applications
Productivity SW
IBM Chain OEM Market
Materials
Chips, devices
Computers
Operating Systems
Applications
Productivity SW
Integration
Atoms
Solutions Other Integrators
7
CurrentMarket
InternalTechnology
Base
R D
IBM & Open Innovation
Technology Insourcing
New Market
ExternalTechnology
Base
Other Firm’s Market
Java,Linux
Sun, and others’ eqmt
$1.9 B licensing,OEM for semi co’sODM for others
Global Svcs
8
CurrentMarket
R D
Is this just for High Tech?Procter &Gamble
New Market
“Use it or Lose it”
ExternalTechnology
Base
Other Firm’s Market
Technology Scouts
InternalTechnology
Base
VentureAcquisitions“Spinbrush”
LargeAcquisitions“L’Oreal”
9
CurrentMarket
InternalTechnology
Base
R D
Intermediaries & Open Innovation
Technology Insourcing
New Market
NVPLLC: spinoffs
ExternalTechnology
Base
Other Firm’s MarketIP Value - licensing
InnoCentiveNineSigmaYet2.com
InvestmentBanks
Sequoia/Cisco
10
The State of Play in Services Industries Today
In many leading companies, services are more than half of the company’s revenue, and usually the fastest growing part
IBM, GE, Xerox, GM Yet companies who sell services innovation offerings to corporate
and government clients admit they lack a powerful conceptual model underneath their offerings
“Best practices”, separated into vertical markets
The shoemaker’s children are barefoot Paul Horn’s problem at IBM circa 2002: $6 billion of R&D, but little
of that money is advancing the services portion of IBM’s business
11
The Impact of Academic Research on Industrial Performance
National Academy of Engineering Study (2003): 5 sectorsNetworking and Communications
Medical Devices and Equipment
Aerospace
Financial Services
Transportation
12
The Impact of Academic Research on Industrial Performance
National Academy of Engineering Study (2003): 5 sectorsNetworking and Communications
Medical Devices and Equipment
Aerospace
Financial Services
Transportation Found significant impact from academia on the first three, and much more
limited impact on the last two sectors“…the academic research enterprise has not focused on or been organized to meet
the needs of service businesses” (p.8) DARPA gives more to consultants than academia in services NSF funding structure badly lags industry evolution Yet long term university-sited research is vital to long term industrial
innovation performance
Pro
duct
Ser
vic
e
13
The Productivity Paradox: Eric Brynjolfsson
“We see the benefit of IT investment everywhere, except in the statistics”: Robert Solow
Brynjolfsson’s Research Program resolved the productivity paradoxPartly a measurement problem
Partly a management problem: Companies greatly improved their productivity with IT spending, but only when they deployed new business processes to exploit that IT investment
(adding IT investment to legacy processes did NOT increase productivity) Research Implication: one cannot understand productivity increase
without developing a deep understanding of the underlying business processes
14
A Stylized View of Services Practice Today
Government Education Health Care TransportFinancial
Services
• Deep domain expertise• But little or no sharing across domains
15
A Stylized View of Computer Architecture Today
Chips, Components
Systems and Peripherals
Operating Systems, Networking
Middleware, Meta-data
Applications
User Interface, Identity Management
• Formerly vertically integrated functional stacks now horizontal• Broad sharing across many different domains of use• Creative fusion hybridizing many domains of use
16
Robert Glushko’s Model of IT-Enabled Business Models
Strategic/PolicyIssues
Business Processes
Information/Data Structure
ConceptualModel
PhysicalModel
ImplementedModel
17
Challenges in Designing and Managing Business Models
Strategic/Policy
Business Process
Information/Data Structure
ConceptualModel
PhysicalModel
ImplementedModel
Top Mgmt
IT Mgrs
How to connect?
18
Challenges in Designing and Managing Business Models
Strategic/Policy
Business Process
Information/Data Structure
ConceptualModel
PhysicalModel
ImplementedModel
Top Mgmt
IT Mgrs
How to connect?-Focus on processes-Create tools-Only feasible strategiesconsidered
19
Shared Data
Supplier Customer
Modeling Services Exchange BetweenCustomer and Supplier
20
Shared Data
LinkedProcesses
Supplier Customer
Modeling Services Exchange BetweenCustomer and Supplier
21
Shared Data
LinkedProcesses
CoordinatedBusiness
Models
Supplier Customer
Modeling Services Exchange BetweenCustomer and Supplier
22
Other Considerations in Managing Innovation in Services
Modularity and systems architectureWhen to re-use modules vs. use custom designs
Limits to modularity
Systems integration Managing tacit information in innovation processes
Easier to engineer codified knowledge
How to elicit tacit dimensions of knowledge? Managing multiple business models within a single
organization
23
Why This Might Be the Right Time for Services Science
Major advances in IT, and how to implement business processes
Industry “gets it” – that we need new concepts for how to innovate in services
Services innovation needed to support long term growth in workforce that is now 70%+ devoted to services
24
Why It Might NOT Be the Right Time
No institutional support for services innovation research within academia
We are all in our siloes
Academia is constructed not to change No institutional funding for services innovation
researchNSF has no category for funding!
No shared conferences, no shared journals, no shared sense of the key research challenges