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Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof
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Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Mar 29, 2015

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Page 1: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Spinning Off New Ventures From Academic Institutions Outside

Developed High Tech Clusters

Jean-Jacques Degroof

Page 2: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

OutlineOutline

• Introduction• Findings

– First finding: policy level– Second level: spin-off process– Third finding: types of ventures

• Discussion

May 1st, 2002 2

Page 3: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

• What characterizes the context in which the new interest for spinning off new ventures from academic institutions emerged in the late 1990s?

• How did the process of spinning off new ventures materialize?

• What types of ventures emerged from this process?

Research Questions

Page 4: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

• Case study: Belgium

• Interviews with 47 spin-off ventures (out of 106)

• Interviews with 22 representatives of universities, research institutions, and government

• Archival data

• Secondary data

Introduction – Data

Page 5: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Introduction – Literature

• No more than a couple dozen spin-off firms a year

• Size, growth rates, revenues, and product generation: modest

• Failure rate: below national averages

Page 6: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Literature 2

• Come from a small number of top research institutions

• Mostly in the biomedical and IT fields.

• Heterogeneous population

• No clear definition

Page 7: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Finding 1 – Policies

Page 8: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

• Interest is policy driven

Finding 1 – Policies

Page 9: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Finding 1 – Policies

Flanders Wallonia

R & D Expenditures

• 10% to 16% yearly increase to reach 2/2% of GRP

• Increase in late 1990s, but in • 1999 still below European average of 1.4% of GRP

Regulatory Changes

1995 – 1998. Transfer of intellectual property of publicly funded research to universities and research institutions

1998. Transfer of intellectual property of publicly funded research to universities and research institutions

1999. Decree enlarging the mission of the public investment company SRIW from restructuring to the creation of new firms.

Page 10: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Finding 1 – Policies

Flanders Wallonia

Innovation Policy 1999. New innovation policy with new focus on spinning off ventures from research institutions. Includes:

New expanded role of IWT as “one stop” shop” of the innovation policy.

Subsidizing technology departments within universities

Subsidizing of business angel networks

1998. First Spin-off program subsidizing researchers with an entrepreneurial project.

1998. Subsidizing of technology departments within universities.

1998. Subsidizing of “valuators” in charge of promoting technology transfer to industry.

Wallonia Space Logistics program to stimulate research in space technology and technology transfer

Funding Growing role of GIMV. Including:1996. Creation of EASDAQCreation of VC fund IT Partners1997 – 1998. Co-invests in first two spin-off ventures of VIB1999. Co-invests in funds of universities of Gent, Antwerp, and Limburg

1999. Creation of investment fund FIRD1999. Creation of investment fund Start-it

Page 11: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Finding 1 – Policies

Interpretation

Policies consist of replicating elements of environments that are supportive of technology transfer and entrepreneurship

Page 12: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Finding 1 – Policies

REPLICATION SUBSTITUTION

Law and regulations Transfer of IP to universities and research institutions

Stock options

University – industry relationship Subsidizing research institutions with a strong mandate of technology transfer

Subsidizing university “Interfaces” Subsidizing cost of patenting Partnerships with industry

Governance Replication of venture capital model of firm by research institutions

Capital markets “Friends and family” Business Angels Venture capital Stock market

Subsidizing BA networks

Creation of stock market

University and government funds State sponsored VC Subsidies for R&D

Social networks Entrepreneurship forum: Leuven Inc.; DSP Valley

Intermediaries: hybrid public institutions

Page 13: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Finding 1 – Policies

ResearchInstitutions

Fund Sizemillion

EUR

PrivateFinancialPartners

PublicFinancialPartners

FLANDERS

VIB Flanders Biotech Fund (1994) (*)

35 GIMV

IMEC IT Partners (1996) (*) 50 (1) GIMV

KUL Gemma Frisius Fund (1997)

6.25 InvestcoVIV (2)

RUG Baekeland Fund(1999)

2.5 VIV GIMV

LUC Wendelen Fund (1999) 2.5 Investco VIV

UIA Antwerp Innovation Centre 3.3 VIV – KBC Invest (2) – Anchis (3)

GIMV

WALLONIA

UCL Sopartec (1999) 12.5 No partners No partners

ULG Spin-Venture (1999) 1 Meusinvest (4)

Financière de Mons Université Poly-technique de Mons (1999)

NA Individual investors

FIRD (5) 12.4

Page 14: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Finding 2 – Processes of spinning off

Page 15: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Finding 2 – Processes of spinning off

FLANDERS WALLONIA

Universities- Katholieke Universiteit Leuven (KUL)- Rijks Universiteit Gent (RUG)- Vrije Universiteit Leuven (VUB)

Universities- Université Catholique de Louvain (UCL)- Université de Liège (ULG)- Université Libre de Bruxelles (ULB).

Specialized inter-university research institutes- Inter-university Institute for Micro-electronics

(IMEC)- Flanders Inter-University Institute for

Biotechnology (VIB).

Page 16: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Finding 2 – The Process of spinning off

1996 – 2000 2001

Organization of research

Specialists research institution that spans several labs in one domain

Strong fundamental research Strong research collaborations with industry.

Same

Research valorization and technology transfer

Strong unit (20professionals) Strong IP capability

Same

1. Origination of spin-off projects

Proactive opportunity technology search Open to individual initiatives

Same

2. Intellectual property assessment and protection

Strong and growing IP capability Same

3. Selection of the spin-off project by the research institutions

Very selective: only choose projects susceptible of meeting criteria of venture capitalists

Broader selection criteria

1) Examples: IMEC

Page 17: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Finding 2 – Processes of spinning off

1996 – 2000 2001

4. Incubation or business plan development

Technical incubation: IMEC Business incubation: outside consultants and / or

experienced managers hired from industry Duration: 12-18 months within IMEC

Similar, but with help of a new seed fund

5. Funding process Apply directly for venture capital Two step process Apply to proprietary seed

fund Apply for venture capital

6. Selection by funding source

Very selective and competitive Seed fund: no data Venture capital: same

7. Support with start-up process

Comes from management team, venture capitalists, and board

No direct IMEC involvement, but venture benefits from its network

Similar, but additional support from seed fund partners

1) Examples: IMEC

Page 18: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Finding 2 – Processes of spinning off

1999-2000(no significant change over the time period studied)

Organization of research 1.Traditional organization for a university2.First partnership with industry in 2000

Research valorization and technology transfer

1.1999. Fund and one person unit in support of spin-off ventures2.2000. Extension to responsibility of technology valorization and transfer, as well as “strategic partnerships” with industry.

1. Origination of spin-off projects

1.Initiatives of researchers

2. Intellectual property assessment and protection

1.Yes, when relevant

3. Selection of the spin-off project by the university

1.Weak selection. Priority on generating ventures.

4. Incubation or business plan development

1.No incubation2.Minimal business plan development

1) Examples: U.C.L.

Page 19: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Finding 2 – Processes of spinning off

1999-2000(no significant change over the time period studied)

4. Incubation or business plan development

1.No incubation2.Minimal business plan development

5. Funding process 1.Various amounts depending on project2.Controlling stake3.Pressure to exclude other investors4.Proprietary fund

6. Selection by funding source

1.Weak

7. Support with start-up process

•Very minimal (monitoring)

2) Examples: U.C.L.

Page 20: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

ORIGINATION CONCEPT TESTING

START-UP SUPPORT

• IP protection testing

• Business concept testing

•Selection

Findings – Processes of spinning off2) Proposed framework

• Opportunity identification

• Selection

• Advising capabilities

• Network support

• Research

• Organization of research

BACKGROUND

Page 21: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

ORIGINATION CONCEPT TESTING

START-UP SUPPORT

• IP protection testing

• Business concept testing

•Selection

Findings – Processes of spinning off3) Proposed framework

• Opportunity identification• Individual initiatives•Proactive opportunity search

• Selection

• Advising capabilities

• Network support

Page 22: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

ORIGINATION CONCEPT TESTING

START-UP SUPPORT

• IP protection testing

• Business concept testing

•Selection

Findings – Processes of spinning off3) Proposed framework

• Opportunity identification

• Opportunity selection• IP assessment• Business assessment• Spinning off vs. licensing

• Advising capabilities

• Network support

Page 23: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

ORIGINATION CONCEPT TESTING

START-UP SUPPORT

• IP protection testing

• Business concept testing• market research• product development

• Selection

Findings – Processes of spinning off3) Proposed framework

• Opportunity identification

• Opportunity selection

• Advising capabilities

• Network support

Page 24: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

ORIGINATION CONCEPT TESTING START-UP SUPPORT

• IP protection testing Strong IP capability

• Business concept testing market research - product

development with help of consultants + management

• Selection strong selectivity: target VC funding

Findings – Processes of spinning off4) First archetype: comprehensive support and selectivity: IMEC - VIB

• Opportunity identificationproactive opportunity search

• Opportunity selection- Strong IP capability- business: internally

Firm founding

• Internal capabilities

• Support network - management team,

board, advisors, shareholders

- Local entrepreneurial community and external links

12 – 18 months

Page 25: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

ORIGINATION CONCEPT TESTING START-UP SUPPORT

• IP protection testing emerging – not always relevant

• Selection minimal

Findings – Processes of spinning off5) Second archetype: minimalist support and selectivity (universities)

• Opportunity identificationindividual initiative + PR of U.

• Opportunity selection- emerging IP capability- limited capability for

business opportunity selection

- Focus on encouraging spin-offs rather than

on selectivity

•Business concept testing

Firm founding

Gestation – transition phase ( up to several years)

Page 26: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

ORIGINATION CONCEPT TESTING START-UP SUPPORT

• IP protection testing growing IP capability

• Business concept testing market research - product

development within U. structure• Selection emerging selectivity

Findings – Processes of spinning off5) Third archetype: intermediate support and selectivity (KUL >2000)

• Opportunity identificationattempts at proactive opportunity search

• Opportunity selection- growing IP capability- pressure founders to submit more ambitious business projects

Firm founding

• Internal capabilities limited through financial

partners

• Support network Growing support through

local entrepreneurial community and external links

+ 12 months (?)

Page 27: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Findings – Spin-off process6) Comparison of Process

MinimalistLimited support and

selectivity

IntermediateGrowing support and

selectivity

Comprehensive process

Strong support and selectivity

UniversitiesKUL (<2000), UCL, ULG

KUL(2000-2001)

Specialized research

InstitutionsIMEC and VIB

Origination: opportunity identification

Supported by pubic relations campaign.Relies on individual initiatives.Emerging IP assessment capability.No business assessment capability

Organization of research autonomousSteps taken for proactive opportunity searchGrowing IP capabilities

Organization of research geared towards technology transferProactive opportunity searchStrong IP capability for opportunity assessment

Opportunity testing

Hardly any opportunity testing from within the universityOpportunity testing occurs after founding without university support. Can take several years.

Growing capabilities for testing IP opportunitySmall investment in product development and market researchSeed funding: provided by the research division’s own funds

Strong IP capability for IP testing and establishing IP defenseTesting of business opportunity relies on hiring people with industry backgroundsSeed funding: provided by the institutes own funds and later seed fund (IMEC)

Start up support phase

No support Advising capabilities and support network from local networks created by the research division.Growth funding through the university’s fund in partnership with financial institutions

Supported by the institutes’ local and international networks and on management hired to lead the ventureGrowth funding through privileged relationships with VCs

Page 28: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Findings – Venture Formation

Page 29: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Findings – Venture formation

SMEs Growth-oriented

ventures

• Low capitalization• Closed ownership• Weak management

• No growth orientation• Continuity• Lifestyle

• Raise capital• Open ownership• Professionalization of

management• Growth orientation• Exit• Capital gain

Literature

Page 30: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Findings – Venture formation

Coding

• Capitalization• Ownership• Management structure• Growth orientation

Page 31: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Findings – Venture formation

Literature

SMEs Later growth

oriented firms

Early growth

oriented firms

Outliers – lack of

data

Total

<1996 23 0 0 4 27

1996 9 7 4 20

Page 32: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Findings – Venture formation1) Under conditions of comprehensive spin-off process: high support – high selectivity (specialized research institutions)

• Early high growth oriented firms– Capitalization: > EUR 1 million– Outside investor: venture capital firms– Experienced management team– Business opportunity with high potential

• Number of firms: – Zero out of 27 prior to 1996; – 4 out of 20 between 1996 and 2000

Page 33: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

• Ventures are spun off at an early stage.

• They adopt a basic business model: contract based work

Findings – Venture formation2) Under conditions of low support – low selectivity (universities)

Page 34: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

• Some settle for the contract-based business model• Contract-based work is an end in itself

Technology SMEs

• Number of firms– Prior to 1996: 23 out of 27– From 1996 to 2000: 9 out of 20

Findings – Venture formation2) Under conditions of low support – low selectivity (universities)

Page 35: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

• For others, contract-based work is a transitory mode– Source of revenue– Main source of knowledge building

“Late growth oriented venture”

• Number of firms– Prior to 1996: zero out of 27– From 1996 to 2000: 7 out of 20

Findings – Venture formation2) Under conditions of low support – low selectivity (universities)

Page 36: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Proposition 1

Late growth oriented firms are archetypes of growth-oriented spin-off ventures

In environments with little entrepreneurial capabilities

Findings – Venture formation2) Propositions

Page 37: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Proposition 2

Late growth oriented firms are representative of research-based ventures

Findings – Venture formation2) Propositions

Page 38: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

• Key for late growth-oriented firms is to succeed in their transitory phase…

• … more than to grow fast early on

Findings – Venture formation2) Propositions

Page 39: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

• Success in transitory phase

– Operate on a dual mode

– Not to fall in a “consultancy trap”

Findings – Venture formation2) Propositions

Page 40: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.
Page 41: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Discussion

Page 42: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Discussion

Page 43: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

SELECTIVITY

HIGH

Policy adapted for under-developed entrepreneurial environments

SUPPORT

LOW

Policy adapted for

developed entrepreneurial

environments

LOW HIGH

Discussion 1 – Support - selectivity

Source: Adapted from Roberts, E. and D. Malone (1996).

Page 44: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

SELECTIVITY

HIGH

Specialized

Research

Institutions

Policy adapted for under-developed entrepreneurial environments

SUPPORT

LOW

Universities

Policy adapted for

developed entrepreneurial

environments

LOW HIGH

Discussion 1 – Support - selectivity

Page 45: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

SELECTIVITY

HIGH

IMEC

VIB

SUPPORT

LOW

KUL ( until 1999)UCL –ULGRUG - ULB

LOW HIGH

Discussion 1 – Support - selectivity

KUL (>1999)

Page 46: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

SELECTIVITY

HIGH

IMEC

VIB

SUPPORT

LOW

KUL ( until 1999)UCL –ULGRUG - ULB

LOW HIGH

Discussion 1 – Support - selectivity

KUL (>1999)

Page 47: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

SELECTIVITY

HIGH

IMEC

VIB

SUPPORT

LOW

KUL ( until 1999)UCL –ULGRUG - ULB

LOW HIGH

Discussion 1 – Support - selectivity

KUL (>1999)

?

?

Page 48: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Need to view spin-off process as a value chain

Discussion 2 - framework as a diagnostic and management tool

Idea Generation

Development• Design• Prototyping• Testing

Manufacturing• Process development• Production• Testing

Marketing• Pricing•Positioning•Promotion• Product

Service

Traditional company value chain

Page 49: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

ORIGINATION CONCEPT TESTING

START-UP SUPPORT

• IP protection testing

• Business concept testing

• Selection

Discussion 2– framework as a diagnostic and management tool

• Opportunity identification

• Selection

• Advising capabilities

• Network support

Need to view spin-off process as a value chain

Page 50: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

ORIGINATION CONCEPT TESTING

START-UP SUPPORT

• IP protection testing

• Business concept testing

• Selection

Discussion 2– Spin-off framework as a diagnostic and management tool

• Opportunity identification

• Selection

• Advising capabilities

• Network support

Resources

Technical Research capabilities; management of research; IP capabilities

R&D capabilities; IP capabilities; Business due diligence and planning skills

R&D capabilities; Business development and management skills

Financial R&D financing; Investment in TT Innovation grants; Seed financing; Investment in TT

Early stage VC; Growth stage VC

Human Scientists; Technology transfer specialists

Technology transfer specialists; business coaches

Scientists; management; board members; advisors

Social Scientific network Scientific network; network in industry and in the entrepreneurial community

Scientific network; local and international network in industry and in the entrepreneurial community

Page 51: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Discussion 2 – Spin-off framework as a diagnostic and management tool

As a diagnostic tool:• What exists?

As a management tool:

• What can we do with the existing resources?

• What resources do we need to increase our capabilities?

Page 52: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Discussion 2 – Spin-off framework as a diagnostic and management tool

If key resources are limited

• Strategy focusing on quantity rather than potential

•Objective: vibrant SME population

•Where to find best practice? Twente

•What resources do we need to increase our capabilities?

Page 53: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Discussion 2 – Spin-off framework as a diagnostic and management tool

If key resources are “intermediate”

• Objective: spin-off projects with more potential

• Balancing incubation and coaching?

• Where to find best practice? KUL

Page 54: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Discussion 2 – Spin-off framework as a diagnostic and management tool

If key resources are strong

• Objective: high potential spin-off projects

• Where to find best practice? IMEC

Page 55: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Discussion 2 – Spin-off framework as a management tool

SMEs

Late growthOrientated firms

Early growthoriented firms

Resources

Time

Staging the spin-off strategy?

Page 56: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Discussion 2 – Spin-off framework as a management tool

• SMEs

• Late growth oriented firms

• Early growth oriented firms

Multiple strategies?

Page 57: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

TitleDirect indicators for the commercialization of research

Discussion 3 - Further research

Page 58: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Discussion 3 - Further research

Participants

• University of Ghent (Belgium) (*)• Association pour la recherche et le developpement des methodes et processus industriels

(ARMINES) / Ecole Nationale Supérieure des Mines de Paris (ENSMP) covers (France)• The University of Nottingham (UK)• Centre for European Economic Research / Zentrum für Europäische Wirtschaftsforschung

GmbH covers (Germany)• Scuola Superiore Sant’Anna (Italy)• GKI Economic Research Co. (Hungary)• Halmstad University (Sweden)

(*) Also covers the Netherlands

Page 59: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Discussion 3 - Further research

Objectives

1. Collect information and construct indicators, which (a) reflect the direct commercialisation efforts undertaken by universities and public research labs (spin-offs);(b) collect indicators regarding the resources and performance of research based spin-offs.

2. Perform detailed country specific analysis, which adds qualitative context specific elements to the quantitative indicators.

3. Make a cross-country comparative analysis

Page 60: Spinning Off New Ventures From Academic Institutions Outside Developed High Tech Clusters Jean-Jacques Degroof.

Discussion 3 - Further research

ObjectivesActions Year 1

1 2 3 4 5 6

Year 2 1 2 3 4 5 6

Year 3 1 2 3 4 5 6

Period 1: Elaboration of the methodology Participation in brainstorming meeting Preparation and translation of the

questionnaire

Determination of the sample frames of TTO’s

Pilot-testing of the questionnaire Feedback and revising of the questionnaire Period 2: Collection of the indicators Data Collection Interface Services (TTO) Sample Frame Construction Spin-offs Sample Spin-offs Period 3: Writing of the country specific reports

Data Collection Spin-offs Preparation of country-specific reports Write the country-specific report Presentation of the country-specific

reports

Discussion about the cross country comparisons

Period 4: Writing of the cross-country comparative analysis

Write the cross-country comparative analysis

Period 5: Dissemination of the results Press-conference of the cross-country

comparative analysis to a larger public