Fostering the Diversity of Innovation Activities through e-Participation

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Fostering the Diversity of Innovation Activities through e-Participation

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... May 19. - 22.2005, Helsinki and Conference Boat, Finland. ... Portfolio valued as a sum its constituent projects' values. Helsinki University of Technology ... – PowerPoint PPT presentation

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Title: Fostering the Diversity of Innovation Activities through e-Participation


1
Fostering the Diversity of Innovation Activities
through e-Participation
  • Totti Könnölä, Ahti Salo
  • Systems Analysis Laboratory
  • Helsinki University of Technology
  • P.O. Box 1100, 02015 HUT
  • Finland

2
Project From weak signals to innovations
(Sept.04-March05)
  • Part of the Finnish Foresight Forum
  • pilot program initiated by the Ministry of Trade
    and Industry
  • consists of three expert groups on
  • biotechnology nutrigenomics
  • aging and demographics health care and social
    services
  • new business from services personal experience
    services
  • www.ennakointiforum.fi (in finnish)
  • Initial project objectives
  • engage stakehoders to the Forum
  • develop a new internet-based method for the
    identification and multi-criteria evalution of
    weak signals
  • discuss the results in the expert groups
  • publish the results in Internet

3
Revisiting foresight objectives
  • Priority-setting
  • may discount alternative pathways
  • Networking
  • two strong networks creates inertia and lock-in
  • Vision-building
  • consensus may cut out relevant alternative
    pathways
  • ? Attention to exploration and diversity
  • foster diversity in perspectives, collaborative
    relations and ideas on innovations
  • Identify weak signals

4
Weak signals and filters of information
  • Weak signals
  • new emerging features in the present that can be
    used for foresighting the futures, often appear
    as far-fetched and irrational
  • e.g. new alternative technologies (hydrogen
    economy)
  • Filters of Information (Ansoff, 1984)

5
Mapping weak-signals
  • Conventional approach
  • wide range of different types of signals
  • maybe difficult interpret the signifigance
  • inter-dependences of signals?
  • importance for our organisation?
  • is there need for specific action, and by whom?
  • We focus on Innovations
  • focused and commensurate approach
  • improved comparability
  • action-oriented with specific actors and contexts
  • combined reflections of different weak signals

6
Definition of innovation ideas
  • We look for concrete and context-specific ideas
    for innovations that
  • are related to the chosen theme
  • are new for the participant or have received
    insufficient attention
  • may be related to technological discontinuities
  • may provide change to develop an innovation
    within 10-15 years
  • may require collaboration among different actors

7
Multiple perspectives
  • The relevance of ideas depend on many aspects,
    e.g.
  • has impact only on some, but is highly important
    for them
  • has impact on many, but has little importance for
    them
  • has lots of impact on many but is not necesasry
    feasible
  • Three criteria
  • novelty
  • feasiblity
  • societal relevance
  • In addition, possibility for commenting
  • suggestions for future actions
  • identification of relevant actors

8
Participants
  • Stakeholders of the Finnish Foresight Forum
  • number of invited participants was about 50
    persons/theme
  • industry 10
  • government 40
  • research 30
  • commerce and NGOs 10
  • technology entrepeneurs and investors 10
  • TKK Students
  • 60 3-4 year students
  • in three groups
  • working in pairs

9
Phases of the Project
  • Phase I Participants present ideas for
    innovations (11-12/04)
  • 1vaihe_esim.htm
  • Phase II Elaboration of ideas (11/04-1/05)
  • 2vaihe_esim_kysely.htm
  • 2vaihe_esim_kommentit.htm
  • Phase III Multi-criteria evaluation of ideas
    (1/05)
  • 3vaihe_esim.htm
  • Phase IV Analysis of results (2/05)
  • portfolioanalysis (Robust Portfolio Modelling)
    and workshops
  • Parallel process was conducted with TKK students

10
Analysis of the Ideas
  • In light of different criteria, identification of
    interesting ideas
  • Weak signals, sufficient mean and high deviation

11
Identification of the most interesting ideas
  • criteria specific mean values of each idea
  • criteria specific deviations of each idea
  • Specific classes of ideas
  • trend idea receives high support
  • maximisation of the mean value of different
    criteria
  • weak signal idea receives somewhat support, but
    high deviation
  • maximisation of variance of different criteria,
    but not necessarily the mean

12
Robust Portfolio Modeling (RPM)
  • Choose a subset of projects, a project portfolio,
    from a large set of proposals (e.g. 50) subject
    to scarce resources
  • each project evaluated as a weighted sum of
    criterion-specific scores
  • portfolio valued as a sum its constituent
    projects values
  • Further information
  • Friday 20.5. presentation of Antti Punkka, Juuso
    Liesiö and Ahti Salo Selecting forest sites for
    voluntary conservation with robust portfolio
    modeling
  • http//www.rpm.hut.fi

13
Portfolio model for the Analysis of Ideas
  • Simplified version of the model
  • each criteria scores are defined, no need for
    intervals
  • focus on interesting ideas, no need for
    differentiation of resources
  • Each project evaluated as a weighted sum of
    criterion-specific scores
  • Portfolio valued as a sum its constituent
    projects values

14
Alternative perspectives
  • Consensus analysis
  • Diverse perspectives analysis

15
Diverse perspectives analysis Example
  • With three criteria
  • By changing the feasible weight region we can
    emphasize different criteria
  • Specifications for the feasible weight region
  • variance more important than means
  • novelty more important than feasibility
  • feasibility more important than societal
    relevance
  • in addition absolut limit 1/6 of the mean value
    of the criteria

16
Computational examples 1/3
17
Computational examples 2/3
18
Computational examples 3/3
  • The project (idea) included in the percentaje of
    all non-dominated portfolios
  • Change of selected criteria and rank orders
    provides alternative results for further
    discussion
  • In the workshops five alternative analysis
  • Maximise mean values
  • Maximise mean and variance
  • Maximise variance
  • Maximise novelty and feasibility
  • Maximise novelty and societal relevance

19
Examplehealth care and social services
  • Consensus analysis
  • max. mean of three criteria
  • Diverse perspectives analysis
  • max. mean and variance of three criteria

20
Results and discussion
  • Generation of ideas
  • about 50 ideas from stakeholders
  • about 120 ideas from students
  • Preconditions
  • sufficent number of committed participants
  • willlingness and readiness to participate in
    internet-based working
  • Observations
  • offers participation and learning opportunities
  • viewpoint for analysis is identifiable
  • consensus analysis
  • diverse perspectives analysis
  • the analysis seems to bring up interesting ideas
    for further elaboration

21
Conclusions
  • Novelty
  • innovation ideas as reflections of weak signals
  • analysis with multiple perspectives
  • Ideas for futher work
  • commitment of participants
  • interactive elements in the commenting (II Phase)
  • distribution of the workload of evaluation (III
    Phase) if more participants
  • Foster diversity within the innovation system
  • new ideas for innovations
  • new linkages between disciplines and sectors
  • provides bases for elaborating alternative future
    scenarios
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