Sustainable High-Growth Entrepreneurship

2014 ◽  
Vol 15 (1) ◽  
pp. 29-40 ◽  
Author(s):  
Jonas Gabrielsson ◽  
Åsa Lindholm Dahlstrand ◽  
Diamanto Politis

The importance of high-growth entrepreneurship is widely acknowledged. Previous studies, however, have shown that only a few rapidly growing firms manage to sustain their growth trajectory over long periods. This paper addresses high-growth entrepreneurship in the Scania region of Sweden. The authors analyse a sample of high-growth firms and find that only a minority exhibit sustained high growth. They also compare sustainable high-growth firms with temporary high-growth firms, using unique data about their innovation and R&D activities. The analysis shows that sustainable high-growth firms are more often involved in activities aimed at developing and improving existing production processes, and are also less committed to international operations in new foreign markets. The results can be used to advise policy makers on how to understand and support high-growth entrepreneurship in regional innovation systems.

Author(s):  
Marlous Blankesteijn ◽  
Peter van der Sijde ◽  
Chanphirun Sam

Knowledge circulation and the entrepreneurial university have become essential to the functioning of regional innovation systems. What does this mean for the three core tasks of universities – teaching, doing scientific research, and making a societal contribution? How can the changing of these tasks be analyzed in the context of the role of the entrepreneurial university in knowledge circulation? Which challenges does a sharpened focus on knowledge circulation entail for the entrepreneurial university and which issues should be on the top of the agenda of the boards of universities and policy makers to stimulate knowledge circulation? This chapter discusses the role of entrepreneurial universities in processes of knowledge circulation and sketches the contours of an agenda to actively stimulate processes of knowledge circulation at entrepreneurial universities.


2016 ◽  
pp. 388-405
Author(s):  
Joanna Ligenzowska

Over the past two decades, social scientists and governments have been paying more and more attention to regions as designated sites of innovation and competitiveness in the globalizing economy. Thus, innovation and innovation systems are becoming increasingly interesting to policy‐makers as ways of achieving their economic and social goals. Europe 2020, the European Union’s key strategy for the current decade, aims to foster a smart, sustainable, and inclusive economy. “Innovation has been placed at the heart of the strategy”, as it provides the “best means of successfully tackling major societal challenges” (European Commission 2010, p. 2). The new age of capitalism requires a new kind of region. In effect, regions are increasingly defined by the same criteria and elements which comprise a knowledge-intensive firm: continuous improvement, new ideas, knowledge creation and organizational learning (Florida 2003, p. 236). The increased policy and research interest in regional clusters and innovation systems reflects the growing significance of the regional level, and the importance of specific and regional resources, for stimulating the innovation capability and competitiveness of firms. The social and interactive practice of innovation also points to the importance of the relationship between the firm and its environment. The learning economy perspective affirms that learning and innovation are localized, not placeless processes (Storper 1997). Thus, it emphasizes that innovation is a territorially-embedded process, based not only on resources that are place specific but also on social and institutional contexts (Asheim, lsaksen 2002). This paper describes the role of innovations in Sweden and Swedish regions in development and growth, mainly by analysing the concept of regional innovation systems. Moreover, the actors and associations from the innovation system perspective are pointed out in the article. An analysis of the policy documents and a literature overview was the basis of the empirical material. Data comes from the OECD and EUROSTAT databases.


2011 ◽  
Vol 12 (5) ◽  
pp. 231-254
Author(s):  
Mie Jung Kim ◽  
Chae,Dae-Seok

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