Una lettura in chiave sistemico vitale del processo di trasferimento

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Sep 26, 2011 - In order to shed light on this topic, we integrate: a) the viable system approach (Beer, 1972 and 1984;. Golinelli, 2010); with b) the streams of ...
ACADEMIC SPIN-OFFS AND TECHNOLOGICAL INNOVATION DIFFUSION IN LESS SUCCECCFUL AREAS: A VIABLE SYSTEM APPROACH Gabriella Levanti University of Palermo Federica Palumbo University of Palermo Carlo Amenta University of Palermo

WCSA - World Complexity Science Academy II Conference September 26th – 27th, 2011

what are the context conditions and institutions that support academic spin off emergence and development? In order to shed light on this topic, we integrate: a) the viable system approach (Beer, 1972 and 1984; Golinelli, 2010); with b) the streams of managerial research that focus on the social and systemic nature of innovation process - the national innovation system theory (Freeman, 1987; Lundvall, 1992; Soete, 2007) - the triple helix model of innovation (Etzkowitz and Leyersdoff, 1999 and 2000)

• Section 1: Introduction

• Section 2: Theoretical background • Section 3: Representing academic spin offs through the integration of the viable system approach with some innovation theories • Section 4: Research methods and data • Section 5: The Case of “Consorzio Arca” and the academic spin offs it supports • Section 6: Discussion and conclusion

Suprasystems (L + 1 Level)

Academic Spin Off System (L Level)

Decision Making Area

Action Area

Subsystems (L – 1 Level)

General (meta) guidance principle Viable System’s Survival and Development

Creation of economic value

generation and renewal of competitive and innovative advantages

Following of consonance and resonance conditions with • the suprasystems • the subsystems

Business idea generation

Business plan definition

Start up

Strengthening: • value creation • consonance conditions

The academic spin off becomes a viable system

 universities organizations

and

other

(private

and

public)

research

 State and government institutions  business incubators

 financial institutions (i.e., business angels, venture capitalist, private equity, stock market, and so on)  customers  other companies  labor market

Business Incubator Academic Labs

Academic Spin off

University of Palermo

Easy Integrazione di Sistemi

SINTESI Association

Sviluppo Italia Sicilia

• • • •

Business incubation Spaces and logistic services Venture management Relational capital

incubated spin-off

post-incubated spin-off

13 7

3

11

12

12

13

14

2006

2007

2008

2009

2010

3

2005

Biomedical; Electronics; 1 spin-off 2 spin-offs Biotechnology; 2 spin-offs

Diagnostic equipments; 3 spin-offs ICT; 3 spin-offs Design; 3 spin-offs

Energy and Environment; 10 spin-offs

Architectural and cultural heritage; 3 spin-offs

Government Institutions:

Industry:

- Ministry of Economic Development - SINTESI Association - Sviluppo Italia Sicilia - Ministry of Instruction, University and Research (MIUR) -Ministry of the Environment

- Easy Integrazione di sistemi - Mediavoice - Biodagene s.r.l.

Academic Spin –offs

Academic Lab

Start Cup Palermo, PNI

Research Organizations: - CNR Institute of Biomedicine and Molecular Immunology - National Institute of Astrophysics - Sicilian Electronic Research Centre

Financial System: - Vertis SGR - Life Science Capital SGR - Quantica SGR

Labour Market: More than 100 new workplaces from 2005 to 2010

Design; 1 Biomedical; 2

Diagnostic equipments; 2

Biotecnology; 4

64

44 38

2007

2008

2009

incubated spin-offs

post-incubated spin-offs

€ 874.388 € 319.036 € 1.098.380

2007

€ 701.169

€ 706.775

2008

2009

€ 700.000

2007 2008 2009

€ 600.000 € 500.000

€ 400.000 € 300.000 € 200.000 € 100.000 €Energy and Environment

Diagnostic equipments

Architectural and Cultural Heritage

Biomedical

Biotechnology

Electronics

ICT

OLS estimator

turnoverit = C0 + β1dincubatio nit + β2incubation period it + β3 dresearcherit + β4 patents it + β5 pubfin it + β6 membersit + + β7 capital it + β8 startcuprankingit + β9 life it + εit Random Effects estimator

turnoverit = ui + β1dincubatio nit + β2incubation period it + β3 dresearcherit + β4 patents it + β5 pubfin it + β6 membersit + + β7 capital it + β8 startcuprankingit + β9 life it + εit

Hypothesis of the models Variable

Expected relation with performance

dincubation

(+)

Incubationperiod

(+)

dresearcher

(-)

patents

(+)

pubfin

(+)

members

(+)

capital

(+)

startcupranking

(+)

life

(+)

Results

Observation time interval Use of the social is too short. network analysis to Competitiveness is a measure relationships multidimensional aspect of spin-offs with the that should be context. investigated from several A viable system view point of views in addition of the Consorzio to turnover. ARCA business Consonance is a incubator. qualitative aspect difficult to measure.