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Impact Assessment of
Interactive Coupled Open
Innovation in Living Labs
dr. Dimitri SchuurmaniMinds Living Labs & iMinds – MICT - Ghent University
@DimiSchuurman
Dimitri SchuurmanSenior User Researcher Living Lab methodology
• Started working on Living Labs in 2005
• Initiator & manager iMinds SME Lab program
• Supported over 60 SMEs in user innovation
• PhD on Open & User Innovation in Living Labs
Living Lab definitionApproach to innovation
characterized by…
Multi-method
Real-life experimentation
Active user involvement (co-creation)
Multi-stakeholder (PPP-organization)
European Commission policy
support
European Paradox: exploration
(research) vs. exploitation (market
success)
2006: ‘big bang’ with the establishment
of
https://issuu.com/enoll/docs/enoll-print
https://issuu.com/enoll/docs/enoll-print
4
Different perspectives on user co-creation
Greenbaum (1993)
• the ethical or democratic perspective VISION
• the pragmatic or economic perspective SUSTAINABILITY
• the curiosity or theoretical perspective ACTION RESEARCH
Living Lab services for SMEs
SMEs struggle with the practical
implementation of Open Innovation
Living Labs complement R&D resources
SMEs lack
Two-way agility & flexibility
Openness for active user involvement
Willingness to iterate / pivot
https://issuu.com/enoll/docs/living_lab_services_for_business_su
https://issuu.com/enoll/docs/living_lab_services_for_business_su
6
iMinds SME Lab organization
User Research Business Modelling
Ghent University
6 FTEVUB
2 FTE
iMinds central
3 FTE
iMinds central
1 FTE
Business developmentPanel management
Segmented panel of end-users (>25.000)
Longitudinal
knowledge
accumulation
& retention
7
iMinds SME Lab organization
User Research Business Modelling
Ghent University
6 FTEVUB
2 FTE
iMinds central
3 FTE
iMinds central
1 FTE
Business development
Utilizers of the Living Lab: mostly SMEs (>50 projects)
Panel management
Segmented panel of end-users (>25.000)
Other iMinds researchers or organizations with
specific expertise
Longitudinal
knowledge
accumulation
& retention
Project-based
involvement
8
LL
INNOVATION
FRAMEWORK
LL USER
ACTIVITIES
KICK-OFF
LLAVA
WORKSHOP
SEGMENTING
(RECRUITING)
SURVEY
CONTEXTUAL
INQUIRY &
CO-CREATION
FIELD TEST
LARGE
SCALE
ADOPTION
SURVEY
SOTA +
EXPERT
INTERVIEW
EXPLORATION
REAL-LIFE OBSERVATION
PROBLEM – SOLUTION FIT
LLAVA
UPDATE
EXPERIMENTATION
REAL-LIFE TEST
PRODUCT – MARKET FIT
LLAVA
UPDATE
GO2MARKET
WORKSHOP
iMinds innovation project structure
CURRENT STATE FUTURE STATE
CUSTOMERSEGMENT
KEY MARKET TRENDS
COMMONNEED
CURRENT ALTERNATIVES
VALUEPROMISE
BARRIERS
DIGITAL SOLUTION
VALUE CAPTURE(WTP)
KEY PARTNERS
IMINDS LLAVA MATRIX - FRAMEWORK
Which customer segments / verticals to focus on? What are common characteristics?
How to interact with which stakeholders? Stakeholder or customer?
Customer resistance vs experience design (interface, process flow, services, …)
Real needs of customer segment + priorities?
What value (monetary and non-monetary) do I receive in turn? What price should I set (and how)?
What (measurable) impact will you create?
Customer experience gaps in current alternatives?
Technical, societal or business trends affecting the customer segment?
What are our strengths & key capabilities?
+50 methods for
learning and
discovery of social,
contextual and
functional
requirements. https://www.iminds.be/en/userinnovation
Five steps to impact assessment
Define the different levels of analysis of the to be studied phenomenon
Link the levels of analysis to relevant theoretical frameworks for your analysis
Operationalize these frameworks through measurable variables
Chose the data collection method & source
Analyze & iterate
LL
ORGANISATION
LL PROJECT
FRAMEWORK
LL USER
ACTIVITIES
USERSINFRA-
STRUCTUREACADEMIA
LLAVAWorkshop
LLAVAupdate
PRIVATE
SECTORDATA
EXPLORATION EXPERIMENTATION
The 3 levels of a Living Lab
LLAVAGO2M
PUBLIC
SECTOR
Schuurman, 2015
https://biblio.ugent.be/publication/5931264/file/5931265.pdf
https://biblio.ugent.be/publication/5931264/file/5931265.pdf
Living Lab organizations
400 ENoLL accredited Living Labs
Core of 170 currently active LLs
Variation in participating stakeholders &
thematic goals
Smart cities / Urban Living Labs
Rural development Living Labs
Technology / sector oriented Living Labs…
USERSINFRA-
STRUCTUREACADEMIA
PRIVATE
SECTORDATA
PUBLIC
SECTOR
https://issuu.com/enoll/docs/enoll-print
https://issuu.com/enoll/docs/enoll-print
Open
Innovation
Organizations benefit by opening up their
innovation processes to external actors in
order to exchange knowledge &
technologiesHenry Chesbrough (2000’s)
Open Innovation – Organization perspectiveMain idea: “Knowledge and technology transfers can and should be actively managed”
Challenges: Managing and balancing open and closed innovation
OI processes Exploration Exploitation Retention
Get new knowledge in Get internal knowledge out Reuse knowledge base
°2004
2.500 users with PDAs
100 Hotspots
ICT
8 consortium actors
No external projects
°2010
2.015 Panel members
3DTVs, tablets, sensors
Smart grids, cities & media
5 consortium actors
3 external projects
°2010
>2.015 Panel members
>7.000 thematic dataset
(AV) media
5 consortium actors
>15 external projects
°2010
115 connected homes
FttH network, tablets, MiniPCs
Multimedia, eCare & gaming
12 consortium actors
3 external projects
A decade of Flemish Living Lab constellations
Impact: linking goal with outcome
Total success % Exploration success % Exploitation success %Providers 8 out of 16 50% / / 1 out of 3 33%Researchers 4 out of 5 80% / / 0 out of 1 0%Utilizers 18 out of 26 72% 11 out of 12 92% 3 out of 7 43%Total 15 out of 23 65% 11 out of 12 92% 4 out of 11 36%
Success rate for SMEs
Total succ % Exploration success % Exploitation succ %
Enablers 5 out of 7 71% 3 out of 5 60% 2 out of 2 100%Providers 8 out of 16 50% 1 out of 4 25% 7 out of 12 58%Researchers 4 out of 5 80% / / 4 out of 5 80%Users 4 out of 4 100% 4 out of 4 100% / /Utilizers 18 out of 26 72% 14 out of 17 82% 4 out of 9 44%Total 39 out of 58 67% 22 out of 30 73% 17 out of 28 61%
Success rate per actor
Data collection: Interviews with Living Lab managers + document analysis
Impact: linking goal with outcome
Success %
FLELLAP 6 out of 11 55%
LeYLab 11 out of 18 61%
Mediatuin 10 out of 15 67%
iMinds Living Labs 12 out of 14 86%
Total 39 out of 58 67%
Success rate per Living Lab
Qualitative enrichment
Living Lab projects
Project methodology, Living Lab specific
Tailored towards the utilizers of the Living
Lab services (e.g. SMEs)
Focus on multi-method, iterative
development and real-life experimentation
LLAVAWorkshop
LLAVAupdate
EXPLORATION EXPERIMENTATIONLLAVAGO2M
Living Lab project outcomes
Project Yes No
During 7 - 54% 6 - 43%
After 4 - 31% 3 - 21%
None 2 - 15% 5 - 36%
On the
market4 - 31% 6 - 43%
Pipeline 6 - 46% 2 - 14%
Reoriented 3 - 23% 6 - 43%
http://timreview.ca/article/956
Data collection: Post hoc interviews with project instigators
+ document analysis
21
Abort19%
Reboot7%
Adapt40%
Launch35%
The product is available
on the market.
The product is still under development
but expected to go to market soon.
Initial product is aborted, but a new
product idea roadmap is initiated.
Product development is discontinued or
will not go to market in its current form.
Own impact assessment instrument (N=35)
Primary added value: Input for innovation development
User contribution: evaluation (97%), incremental improvement (97%) & substantial
improvement (77%)
Data collection: Pre & post hoc interviews with project instigators
22
Independent impact assessment study14 SMEs that engaged in Living Lab projects
Economic benefits
• Investment 3,8 mio €
• Employment 79 FTEs extra
• Additional revenue 13,1 mio €
Added value for NPD process
• 93% indicates project results were
useful or extremely useful
• 50% used the results to improve the
innovation before market launch
• Main reasons to engage in LL-project:
• User research
• Structured methodology
• User & bus modeling combo
Living Lab user activities
Methods & tools that involve end-users
Focus on active user involvement & co-
creation
Different toolsets in different Living Labs
User Centered Design & Design Thinking
(Lead) User Innovation
Voice-of-the-Customer techniques
+50 methods for
learning and
discovery of social,
contextual and
functional
requirements.
https://www.iminds.be/en/userinnovation
https://www.iminds.be/en/userinnovation
User
Innovation
Users can and will contribute
to innovation processes or
even innovate themselves
Eric von Hippel (1970’s)
25
USER INNOVATION
Voice-of-the-Customer User co-creation Lead User methods
Innovation FOR usersInnovation WITH
usersInnovation BY users
PASSIVE ACTIVE
Who? Different types of users
Outcome? Radical / incremental innovation
Problem? How to facilitate and structure
co-creation for the total duration of the
project?
How? Iterative combination of voice-of-the-customer methods with
generative methods and techniques
26
User participation in co-creationData collection: Survey with panel members & interviews with alpha users
27
Define success
Greenbaum (1993)
• the ethical or democratic perspective active user involvement
• the pragmatic or economic perspective improved innovation outcomes
• the curiosity or theoretical perspective multi-stakeholder collaboration
Impact assessment model
Based on document
analysis & interviews with
Living Lab managers
Based on interviews with
project instigators &
document analysis
Based on surveys &
interviews with users
Level of
analysisIndicators Perspective N
Macro – Living
Lab organization
Open Innovation
processesTheoretical
4 LL
organisations
Meso – Living
Lab project
Innovation process
outcomesEconomic
21 LL
projects
Micro – Living
Lab user activities
User Innovation
contributionsDemocratic
107 research
activities
Current instruments
Level of analysis Indicators Perspective
Macro – Living
Lab organization
Open Innovation
processesTheoretical
Meso – Living
Lab project
Innovation process
outcomesEconomic
Micro – Living
Lab user activities
User Innovation
contributionsDemocratic
None!
Pre & post survey project
instigator / environmental
scan
Short post survey at co-
creation sessions
Separate sessions &
surveys with panel
members
Five steps to impact assessment
Define the different levels of analysis of the to be studied phenomenon
Link the levels of analysis to relevant theoretical frameworks for your analysis
Operationalize these frameworks through measurable variables
Chose the data collection method & source
Analyze & iterate
Issues & challenges
Action research
Timeframe for data collection & analysis
Experimental data
Relate specific contributions to specific users and/or research activities
@DimiSchuurman