Parting the ivory curtain: understanding how universities support a diverse set of startups

Universities are widely recognized as a critical source of technological innovation and are heralded for the entrepreneurial ventures cultivated within their walls. To date, most research has focused on academic entrepreneurship—new ventures that spin out of academic laboratories. However, universities also give rise to startups that do not directly exploit knowledge generated within academic laboratories. Such firms—and the societal and economic benefits they create—are an important contribution of modern universities. We propose a framework for understanding the full scope of university entrepreneurship and its driving factors, with the goal of providing scholars, university administrators, and policymakers with insights regarding the resources required to foster entrepreneurship from within the ivory tower.     

Never mind the quality feel the width: University–industry links and government financial support for innovation in small high-technology businesses in the UK and the USA

In this paper we use a size and industry matched sample of over 1,900 UK and US businesses for the period 2004–05 in the manufacturing and business services sectors to analyse the relative “strength” of the university–industry ecosystems in which these firms operate in the two economies. Our analysis shows that in both countries universities per se play a quantitatively smaller role as a source of knowledge for business innovation than either the business sector itself or a variety of organisations intermediating between the university and business sectors. Our analysis reveals a much more diffuse university–industry ecosystem in the UK in which a higher proportion of businesses claim links external to themselves in their pursuit of knowledge for innovation and a higher proportion report directly connecting with universities. US firms are more likely to access knowledge through a combination of business and intermediary sources and are less likely to have established formal collaborative or partnership agreements in the 3 years prior to the survey. We also find, however, that a higher proportion of US firms place a very high value on the connections they have with universities and are much more likely to commit resources to support such innovation related university interactions. A similar pattern of diffuse but weaker links characterise the supply of public sector financial assistance for innovation in our sample firms. UK firms are more likely to be in receipt of assistance, but receive far less per firm in absolute terms and relative to their R&D expenditures. It appears that the UK university–industry ecosystem is characterised by a greater width than quality of interaction.     

Models of university technology transfer: analyses and policies

Recent data on European countries show that innovation leaders perform better than economies with low levels of innovation investment and institutions that do not favor knowledge and technology transfer activities. This result confirms that to achieve a high level of performance, countries need a balanced innovation system performing well across all dimensions. More interestingly, the two most important indicators that have been driving increases in performance include new doctoral graduates and international scientific co-publications, that is, two channels of knowledge transfer from universities to firms. This special issue of the Journal of Technology Transfer is dedicated to the discussion of models of university technology transfer, mostly from a European perspective.     

Proximity as a Resource Base for Competitive Advantage: University–Industry Links for Technology Transfer

One of the important arguments in favor of Science Parks is the claimed networking benefit. A total of 273 new technology-based firms (NTBFs) were surveyed. The assessing of academic knowledge and expertise by businesses located on site is a key principle of Science Parks. Science Park NTBFs stand out as a special group of small firms in terms of performance (Growth: sales and employment). The arguments presented in this paper recognize the complex nature of co-operative resources. The level of interaction in the innovation process between firms located on Science Parks and local universities is generally low, but it is higher than the level of interaction exhibited by firms that are not Science Park firms. The underlying premise of our research propositions (P1 and P2) is that the NTBF-specific co-operative resources will provide the firm with a competitive advantage. This paper, building on the resource-based theory and empirical evidence, argues that NTBFs working with universities that have more proximity achieve certain advantages. Proximity between NTBFs and universities promote the exchange of ideas through both formal and informal networks. Statistically significant differences between Science Park NTBFs and off-Park NTBFs were recorded with regard to product development in the last three years.     

Determinant factors of university spin-off: the case of Korea

Increasingly more research has examined the creation of university spin-off firms as are seen as an important source of regional and national economic growth. However little is known about the factors influencing the formation of university spin-off in Asian countries, especially in Korea. This paper contributes to the literature on academic entrepreneurship by deepening our understanding on determinant factors of university spin-off in the case of Korea. We investigate organizational and institutional factors highlighted in the literature as influencing the creation of university spin-off companies. The Korean government has implemented the INNOPOLIS Research Institute Spin-off (IRIS) program to enable universities to create new firms within special research and development (R&D) zones to commercialize public R&D output. The capability of universities to establish new firms through the program varies; consequently, this study utilized 122 universities from 2013 to 2015 to analyze determinant factors that affect university spin-offs. Panel logit and negative binomial analysis results indicate that university location has the highest positive influence on IRIS. Government-sponsored funding has a negative impact; however, the likelihood that universities create spin-offs and the number of IRIS firms are positively and significantly affected by publications, patents, research funding, and number of university spin-offs.     

Does knowledge diffusion between university and industry increase innovativeness?

This paper presents an econometric analysis of the impact of collaboration with universities on the innovative output of firms. We also illustrate the differences that emerge from robustness checks, based on different matching estimators and samples. Our findings strongly suggest that university collaboration has a positive influence on the innovative activity of large manufacturing firms. In contrast, there appears to be an insignificant association between university collaboration and the average service firm’s innovation output.     

Public research and the innovation performance of new technology based firms

Assessing the role of publicly funded scientific research in entrepreneurial ecosystems is of great interest for science and entrepreneurship policy. Knowledge from academic research flows into the private sector through publications, patents, and researcher mobility as well as through direct interactions between founders and researchers at public research institutions (PRIs). New technology-based firms (NTBFs) are generally praised for high innovativeness despite their resource constraints and liability of newness. This study therefore investigates the impact of direct interactions with PRIs on NTBFs’ innovation success. In a large sample of NTBFs in Germany, we find that those firms engaging in such knowledge interactions are more likely to introduce new products and services to the market. The strength of this association, however, depends on interaction persistency, internal R&D and the founders’ academic backgrounds. Non-academic start-ups benefit more from continuous informal interactions if they pursue own R&D, which suggests that absorptive capacity matters. In academic start-ups, higher intensities of both formal and informal interactions are associated with greater innovation likelihood. Moreover, continuous informal interactions complement formal ones in the absence of own R&D activity.

     

The contribution of university research to the growth of academic start-ups: an empirical analysis

The aim of this paper is to analyze empirically under which circumstances the universities located in a geographical area contribute to the growth of a special category of local new technology-based firms (NTBFs), those established by academic personnel (academic start-ups, ASUs). We examine the effects of a series of characteristics of local universities on the growth rates of ASUs and we compare them with the effects of the same university characteristics on the growth of other (i.e., non-academic) NTBFs. In the empirical part of the paper, we estimate an augmented Gibrat law panel data model using a longitudinal dataset composed of 487 Italian NTBFs observed from 1994 to 2003. Out of these NTBFs 48 are ASUs. The results of the econometric estimates suggest that universities do influence the growth rates of local ASUs, while the effects on the growth rates of other NTBFs are negligible. In particular, the scientific quality of the research performed by universities has a positive effect on the growth rates of ASUs; conversely the commercial orientation of research has a negative effect. These results indicate that universities producing high-quality scientific research have a beneficial impact on the growth of local high-tech start-ups, but only if these firms are able to detect, absorb, and use this knowledge. In this perspective, a greater commercial orientation of university research leading to a reduction of the knowledge available for absorption by these companies, can be detrimental.     

The effects of cognitive distance in university-industry collaborations: some evidence from Italian universities

Universities have long been involved in knowledge transfer activities and are increasing their efforts to collaborate with industry. However, universities vary enormously in the extent to which they promote, and succeed in commercializing, academic research. In this paper, we focus on the concept of cognitive distance, intended as differences in the sets of basic values, norms and mental models in universities and firms. We assess the impact of cognitive distance on university-industry collaborations. Based on original data from interviews with 197 university departments in Italy, our analysis determines whether cognitive distance is perceived as a barrier to university-industry interactions, and estimates its effects on the frequency of their collaborations. Our results confirm that cognitive, albeit not affecting the probability of departments to collaborate with firms, significantly hinders the frequency of interactions.     

Geographic proximity and university–industry interaction: the case of Mexico

This paper analyses whether geographic proximity favours specific channels of university–industry interaction when firms collaborate with universities and with government research centres. Our study also provides insights regarding the relationship between the associated channel and the role of firms’ absorptive capacities. Our results show that firms with higher levels of absorptive capacities tend to interact more independently of their location. Additionally, interaction with non-local universities generally includes the transfer of codified forms of knowledge, while links with local universities includes more tacit forms of knowledge. Policy implications derived from this analysis focus on fostering interaction at local and non-local levels.     

New challenges for universities in the knowledge triangle

This paper discusses the role of higher education institutions within the framework of the knowledge triangle between academic education, scientific research and innovation, as it has gained importance in recent years as a framework for innovation policies especially in the OECD and Europe. First, complementary concepts of universities’ outreach activities and extended role model such as ‘third mission’, ‘triple helix’, ‘entrepreneurial or civic university’ models and ‘smart specialization’ are reflected against their fit with the concept of the knowledge triangle, also with respect to new requirements for university governance. Second, a new understanding of spillovers between public sectors research and the business sector according to knowledge triangle is presented.

     

Quadruple Helix and firms’ performance: an empirical verification in Europe

The emerging relationships connecting organizations are the condition on which innovation is founded nowadays, so it is pivotal to achieve a vaster comprehension of the phenomenon through the exploitation of new dynamics and the exploration of new trajectories. In line with the Quadruple Helix (QE) approach, it seems reasonable to expect that the different environments in which firms operate would highlight the expectations of the various market governance systems, which firms must comply with in order to gain social legitimacy and improve their capacity for survival. To determine whether the Quadruple Helix model has an effect on the firms’ profitability, the authors employed the classification analysis method (Classification And Regression Trees). The sample is composed by 4215 manufacturing firms located in science parks. In our empirical model, the variable “citizen” classifies businesses with high Return On Investment in the best way. This shows that in science parks “the fourth helix” (citizen) has an important role in classifying the firms with the highest performance. Moreover, the majority of firms that attribute high importance to the collaboration with private financial institutions in order to finance innovations have a high ROI. In addition, firms with high economic performance in the model of the quadruple helix generate product innovation.     

SMEs in Regional Innovation Systems and The Role of Innovation Support--The Case of Upper Austria

In the past large firms were regarded as the main driving forces for innovation, but, more recently, the interest has shifted to SMEs as well as networks of firms. It has been recognized that SMEs innovate in a specific way and that they face size-specific barriers. To be able to rely on innovation partners and to be involved in regional or national innovation systems seems to be of critical importance for SMEs. This paper presents the empirical results of a firm survey in Upper Austria, a region with a long industrial tradition in Austria, investigating the extent to which SMEs are actually engaged in innovation networks and the role of public innovation support in this context. The findings show that SMEs which have received innovation support are more successful innovators than those which have not, and that innovation cooperations are rather rare. Most external relations are with other firms and within the region, very few with knowledge providers from science and technology. At present, innovation support instruments do not sufficiently target the deficits of non-innovative SMEs and the problems in linking up with innovation networks and broadening firms' relations beyond the region.     

Technology proximity between firms and universities and technology transfer

This paper investigates the technological orientation of firms and universities and their propensity to have knowledge and technology transfer (KTT) activities. This study looks at the technological potential for KTT and how it is used, emphasizing differences between smaller and larger firms. To this end we collected information about the technology activities of firms (patent statistics) and the technology activities of universities. Furthermore, we used survey data on technology transfer activities. We combined the three datasets and found??especially for smaller firms??that great technology proximity fosters transfer activities with different universities (case 1). The same is true if proximity is low and expertise is considerable at universities in the respective technology field (case 2). In both cases additional transfer potential exists. In the second case firms engage in transfer activities in order to update and modify their knowledge base and as a consequence improve ??competitiveness?? in certain technology fields. Furthermore, firms show a tendency to diversify their contacts with universities in order to avoid knowledge lock-in.     

Convergence or path dependency in policies to foster the creation of university spin-off firms? A comparison of France and the United Kingdom

This paper examines attempts by French and UK governments to fill the gap between the US and Europe with respect to the creation of academic spin-offs. Analysis of the contrasting cases of the UK and France, shows that there is no convergence of national policies to foster the creation of firms by academics. Rather, the two countries demonstrate different rationales and approaches to policy in this area. In UK, the rationale for spin-off policy is mainly to develop a third stream of financing. Spin-offs are a part of a policy to commercialize technology and knowledge created by universities. Policy is at the university level, leading to the creation of diverse structures. Public schemes bring public money directly to universities. In France, the rationale for policy towards the creation of new ventures by academics is the development of high technology new ventures as part of a technological entrepreneurship policy. The notion of a third stream of financing for universities is an argument that is never advanced. The UK has placed the universities at the heart of policies aimed at the creation of spin-offs, this is not the case in France.     

University and inter-firm R&D collaborations: propensity and intensity of cooperation in Europe

This paper investigates the determinants of firms’ decision to cooperate in R&D with universities and the intensity of the cooperation effort, in relation to the engagement in inter-firm R&D collaborations. Using novel survey data for seven EU countries between 2007 and 2009, our analysis accounts for unobservable factors influencing R&D cooperation forms and addresses the main endogeneity issues. We find that internal knowledge, appropriability conditions and incoming spillovers explain a large variation of the probability and of the intensity of R&D collaborations of European firms with universities (and comparably with unaffiliated companies).     

University R&D and Firm Productivity: Evidence from Italy

Ed Mansfield wrote several papers on the private returns to basic research (e.g. Mansfield, 1980) and the influence of academic research on industrial innovation (e.g. Mansfield, 1991). We extend this line of research by assessing the impact of university research on total factor productivity growth of Italian manufacturing firms. The econometric analysis is based on reduced-form estimation of the R&D capital stock model, including controls for two potential sources of sample selection bias, as proposed by Crepon et?al (1998) and Piga and Vivarelli (2004). Our results suggest that while there are positive returns to collaborative research with other firms, collaborative research with universities does not appear to directly stimulate productivity. We interpret this result as consistent with recent evidence (e.g. Hall et?al 2001, 2003) suggesting that firms engage in collaborative research with universities when appropriability conditions are weak.     

Interactive Relations Between Universities and Firms: Empirical Evidence for Austria

In recent years interaction between universities and the business sector and the role of these collaborations in fostering innovation has received greater attention. This paper analyzes different types of interactions between the two sectors from the perspectives of universities and firms. The three major research questions address the frequency of different types of interactions, the benefits that companies derive from interaction with universities and determinants of interaction for both sectors.Two different surveys form the empirical base for this paper: One among innovative firms in Austria, one among all Austrian university departments. The methodologies we use are analyses of variance and logistic regressions. Our results demonstrate that the main channel of knowledge transfer from universities to the business sector still occurs through the mobility of human capital. The major barriers of interaction lie in the differences between cultures of the two spheres as well as lack of information at the side of firms.     

Workers’ mobility and patterns of knowledge diffusion: evidence from Italian data

The channels through which firms access and acquire new and relevant knowledge for their innovative activities is a critical issue to the geography and the management of innovation. In this regard, recent studies have suggested that the mobility of workers across firms is a primary source of new knowledge for the hiring firm and, more in general, of knowledge diffusion across firms. However, little evidence has been presented and discussed about the role and the impact of workers’ mobility on the processes of knowledge transfer across firms. The present paper, thus, aims precisely at contributing to this stream of research by making use of unique data on Italian inventors’ curriculum vitae. The results of the empirical analysis indicate that the mobility of inventors is a mechanism that spurs processes of cumulative knowledge and innovation building from the departure firm to the destination one and significantly impacts on knowledge diffusion across firms.     

Firm heterogeneity,absorptive capacity and technical linkages with external parties in Italy

While it is widely acknowledged that internal R&D is a fundamental source of the ability to absorb, select and use external knowledge, severe data limitations prevent from capturing differences across firms in this respect. Using a novel dataset supplied by the Italian Bureau of Statistics, we highlight that, when controlling for internal R&D efforts, not all firms are equally prone to gain access to external technology, and to the knowledge provided by universities in particular. We find that firms which do not only perform R&D activities but also belong to a group exhibit a higher propensity to access external knowledge by either contracting out R&D or cooperating with external parties, as compared to independent firms that are not organized into groups. This premium persists when controlling for different measures of internal R&D efforts. Furthermore, the differential in the propensity to access external knowledge is particularly high in the case of R&D performers belonging to foreign groups, i.e. Italian affiliates of foreign owned companies; and it is even higher in the case of the few Italian firms that have R&D activities abroad. The relative dis-advantage of independent firms, which represent the bulk of the Italian industry and include most small and medium sized enterprises, appears to be less of an obstacle in the case of linkages with universities, especially when R&D contracting out is considered.