Please cite this article in press as: Radosevic, S., Yoruk, E., Entrepreneurial propensity of innovation systems: Theory, methodology and evidence.
Res. Policy (2013), http://dx.doi.org/10.1016/j.respol.2013.01.011
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Entrepreneurial propensity of innovation systems: Theory, methodology and
evidence
Slavo Radosevic
∗
, Esin Yoruk
SSEES – School of Slavonic and East European Studies, UCL - University College London, 16 Taviton Street, London WC1H 0BW, UK
a r t i c l e i n f o
Article history:
Received 12 December 2011
Received in revised form
14 December 2012
Accepted 20 January 2013
Available online xxx
Keywords:
Entrepreneurial opportunities
Innovation systems
Knowledge-intensive entrepreneurship
Partial least squares path modelling
a b s t r a c t
This paper develops theoretically, methodologically and empirically the notion of the entrepreneurial
propensity of innovation system by integrating knowledge intensive entrepreneurship (KIE) and innova-
tion system (IS) concepts. It first uses a composite index methodology to measure knowledge intensive
entrepreneurship and entrepreneurial opportunities at the national level. It then applies cluster analysis
based on composite indexes for the EU countries in order to group them by entrepreneurial opportunities.
We also assess the influence of a system’s complementary activities on the emergence of KIE by partial
least squares path modelling (PLS-PM) method. PLS demonstrates that the EPIS is statistically sound
concept and that KIE is affected by market, technological and institutional opportunities. The paper pro-
vides empirical evidence that institutions affect knowledge-intensive entrepreneurial experimentation
not directly but via technology and markets. KIE is market driven process; however, its overall effects
are determined not solely by market opportunities but by interaction of market with technological and
institutional opportunities. Hence, we show that KIE is a systemic feature of IS and that new knowledge,
innovation and entrepreneurship are inseparable elements of a dynamic IS.
© 2013 Elsevier B.V. All rights reserved.
1. Introduction
The dominant perspective on entrepreneurship views it as
a nexus of enterprising individuals and valuable opportuni-
ties. Individual differences are seen as crucial in the discov-
ery of entrepreneurial opportunities. In this perspective (the
‘individual–opportunities nexus’ perspective, I–O), entrepreneur-
ship is the key property of individuals which enables them
to discover and exploit new opportunities (Miller, 1983; Covin
and Slevin, 1989; Lumpkin and Dess, 1996, 2001; Shane and
Venkataraman, 2000; Shepherd and DeTienne, 2005; Lumpkin and
Lichtenstein, 2005; Wiklund and Shepherd, 2005, 2008; Mitchell
and Shepherd, 2010). The philosophical basis of this perspective
is rooted in methodological individualism or the idea that ‘social
phenomena must be explained by showing how they result from
individual actions, which in turn must be explained through refer-
ence to the intentional states that motivate the individual actors’
(Heath, 2011:1).
Recently, there has been a noticeable shift away from the
I–O nexus perspective towards a more eclectic understanding
∗
Corresponding author at: SSEES-UCL, Gower Street, London, WC1E 6BT,
UK. Tel.: +44 01273477896.
E-mail addresses: s.radosevic@ucl.ac.uk (S. Radosevic), e.yoruk@ssees.ucl.ac.uk
(E. Yoruk).
of entrepreneurship. For example, Audretsch and Monsen (2008:
47) discuss factors which influence the capacity to generate
entrepreneurial activity at different levels. These factors would
be personal (individual level), inter-personal (team level), orga-
nisational (firm level), and related to networks (industry level).
Some recent studies at a meso (industry) level have investigated
why some industries host more new growth firms than others
and concluded that the reason may lie in the fact that techno-
logical innovation is an important determinant of entrepreneurial
opportunity and performance (Audretsch et al., 2008; Eckhardt and
Shane, 2010). The introduction of databases such as the Global
Entrepreneurship Monitor (GEM) has enabled research on the
impact of technological entrepreneurship on economic growth to
be tested at the levels of country, industry or firm (Yli-Renko
et al., 2001; Acs and Varga, 2005; Minniti et al., 2005; Wong
et al., 2005). However, despite the use of a multi-level perspec-
tive the research on entrepreneurship is methodologically rooted
in individuals’ behavioural characteristics. As pointed out by Heath
(2011:7) ‘too much emphasis on the action-theoretic perspective
can generate its own fallacies . . . (or) assumptions about what must
be going on at the aggregate level.’ The explanations of social pro-
cesses in terms of individuals alone are, following Hodgson (2007:
222) ‘both prominent and problematic.’ In mainstream perspective
entrepreneurship is often framed as stock within production func-
tion approach (Audretsch and Keilbach, 2004, 2007). It is assumed
that factors are independent of each other. This is quite different
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http://dx.doi.org/10.1016/j.respol.2013.01.011