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The purpose of this paper is to combine studies that describe the spin-off creation process with studies that analyze spin-off determinants to understand the phenomenon of spin-off development.

This paper proposes a theoretical framework to improve our understanding of academic spin-off development in southern Italy. Following a systematic combining approach, the framework is constructed by iteratively matching the concepts derived by the literature on spin-off processes and spin-off determinants with the empirical findings obtained through a case study of 19 spin-offs in southern Italy.

The combination of empirical results and literature analysis helps us to identify a general model for spin-off creation that could be particularly useful to explain the criticalities of their development.

This paper provides implications for policy-makers in southern Italy regarding factors for which intervention would support the creation of new spin-offs. This study also provides useful implications for policy-makers in other contexts, such as areas that may or may not be at a disadvantage.

The resulting framework represents an original contribution to the literature because it: links two aspects – the stages of spin-off creation and determinants of spin-off development – which are often considered separately in existing studies; explores factors that either impede or facilitate the different stages of spin-off development; provides a series of findings that can be successively tested in other studies; and sheds more light on the context of southern Italy, which has been investigated in only a limited number of previous studies.

The purpose of this paper is to identify different program models supporting the creation of spin‐offs at universities, analyzes the characteristics that differentiate them, and identifies the factors that determine their effectiveness.

The analysis was performed using data collected through a survey targeting the heads of spin‐off support programs at universities in the UK and Spain. The authors then applied factorial and cluster analysis techniques and a logistic regression analysis to the data to confirm the results.

The analysis identified three types of spin‐off support programs in these universities. Among these, the authors found one that appears to be the most effective model. The authors also found a certain “country effect” on the characteristics of the most effective model. Finally, the authors noted the importance the literature places on university R&D activity and the existence of a favorable environment for the performance of spin‐off programs.

This research is limited by the use of number of spin‐offs and survival rate as performance indicators for support programs. Future research should consider the effective contributions to economic growth and the extent to which such effects are related to university‐level policies.

The typology of the spin‐off support programs identified here provides insight for recommendations to improve less‐effective models.

This study contributes to the understanding of the role of university policy measures in spin‐off support program effectiveness, and of how the environment influences these policies.

Este estudio identifica diferentes modelos de programas de apoyo a la creación de spin‐offs en las universidades, analiza sus características diferenciadoras e identifica los factores que determinan su eficacia.

El análisis se ha realizado a partir de los datos recabados a través de una encuesta, dirigida a responsables de programas de apoyo a la creación de spin‐offs en universidades del Reino Unido y España. A continuación se ha aplicado un análisis cluster y un análisis de regresión logística para confirmar sus resultados.

El análisis ha identificado tres tipos de programas de apoyo a la creación de spin‐offs en estas universidades. Entre éstos se ha encontrado uno que parece ser el modelo más eficaz. También se ha encontrado un cierto “efecto país” en las características del modelo más eficaz. Finalmente se ha podido confirmar la importancia dada por la literatura a la actividad de I+D de la universidad y a la existencia de un entorno favorable para el éxito de estos programas.

Esta investigación está limitada por el uso del número de spin‐offs y la tasa de supervivencia como indicadores de rendimiento de estos programas de apoyo. La futura investigación debe considerar su contribución efectiva al crecimiento económico y el grado en el que estos efectos se relacionan con las políticas a nivel universitario.

La tipología de programas de apoyo a la creación de spin‐offs identificada permite realizar algunas recomendaciones para la mejora de los modelos menos eficaces.

Este studio contribuye a la comprensión del papel de las medidas de política universitaria en la eficacia de los programas de apoyo a la creación de spin‐offs y de la influencia del entorno sobre estas políticas.

The purpose of this study is to explore the human resource management practices and the associated dimensions of quality of employment in university spin-offs. Through this, it becomes possible to explore and recognize the practices and difficulties placed on the employees of university spin-offs.

The United Nations Economic Commission for Europe (UNECE) framework to assess the quality of work in the European Union is adopted. It is used a qualitative approach through the development of four case studies at university spin-offs located in Portugal. These case studies relate to four sectors of activity, such as information technology, urban mobility, health and electronics.

The findings reveal that most of the challenges of quality of work in a spin-off university are common to those in an SME or micro company. Among these factors, the authors highlight the lack of job security, reduced or no social protection and very low income and nonwage pecuniary benefits. Other factors specific to university spin-offs also emerge, such as the numerous opportunities for skills development and training, the potentialities to become an entrepreneur and the high number of working hours that are necessary to face the vibrant market dynamics.

The study aims to contribute, in a theoretical and empirically grounded basis, to the knowledge about the quality of employment in a spin-off university. This work becomes relevant for policymakers to understand in depth the specific challenges faced by employees of a spin-off university.

The purpose of this paper is to empirically test if the interaction between universities and spin-offs, as proxy of knowledge translation (KT), which is based in particular on negotiation, semantics and pragmatics, has a positive impact on spin-off performance – in terms of greater distance from the “valley of death” – and allows access to credit and financial instruments.

The authors adopt an appropriate nonparametric conditional efficiency approach for panel data. The authors provide a unique picture of the innovation environment in Italy using an original dataset. These data provide information regarding the intensity of interaction between universities and spin-offs along with financial balance datasheet of the spin-offs. The nonparametric approach is particularly suitable for nonlinear relationships typical for this type of data.

The results of the analysis confirm that the translation of knowledge, based on negotiation of interests, semantics of the text and pragmatism, favored by the interaction between universities and spin-offs, improves the productivity performance of the spin-off by allowing them to move away from the “valley of death”. Therefore, universities must pay particular attention to the way they work with spin-offs by making use of the translation of knowledge, based on semantics and pragmatism, in order to encourage an understanding of knowledge, sharing of interests among the partners and stakeholders of the spin-off, often belonging to different backgrounds. These are processes that favor the transfer and development of research outcomes to the market, improving the spin-off competitiveness of the territory and strengthening relations with universities and their stakeholders (banks and financial intermediaries, local and national politicians, institutions and the community at large).

Implications for research can be identified at policy and managerial level and refer to the effectiveness of the so called “Third Mission”, university entrepreneurship through the creation of profitable spin-offs which contribute to innovation, and to the socioeconomic development of the territory. In turn, spin-offs with good performances are more likely to have access to external financing to allow the growth of their business in the market. Further studies can investigate the organizational way of the universities that promote these virtuous results, distinguishing them by spin-off efficiency clusters.

For universities, the results make it possible to envisage organizational processes to support spin-offs that are important both for compliance with the regulations and for the Third Mission. Researchers, teachers and PhD academics have the opportunity to exploit the results of their innovative research on the market. Spin-offs and start-up founders should note that the results of scientific transfer can create value for the firm and the territory. Useful information also derives for banks and financial intermediaries that intend to improve the credit risk assessment of the spin-offs during the loan assessment phase.

The value of the work entails in offering a unique overview of university innovation, through an original dataset and a robust methodology. By adopting a different approach, the contribution of KT at national level was assessed, measuring the impact on the technical performance and on the probability of survival of the companies. Originality of the paper lies not only in the approach but also in the fact that this is the first attempt to use the KT as a key factor for the economic sustainability from a financial perspective of start-up companies.

Following the triple helix (TH) model and the way knowledge is transferred into the industry domain, this chapter aims to define features interface that should be implemented in order to facilitate the University–Industry (UI) relationship and thus encourage the spin-off creation.

In order to support this relationship, a new business model configuration of an entrepreneurial ecosystem is proposed, aiming at creating a sustainable environment, where business entities can grow. The field of the Governance of Entrepreneurial Ecosystems is also investigated in order to define a framework for launching, developing, and sustaining a company over time.

This chapter presents a case study developed within the University of Salento (Italy). It capitalizes results from three different research analyses, based on questionnaires and interviews with actors of the spin-off network (professors and researchers, graduating students, admin-tech staff of the Technology Transfer Office, spin-offs’ CEOs/Associates, and R&D managers of external companies) and on results coming from scientific publications and regional/national reports in the innovation context.

A research methodology based on semantic network analysis and sentiment analysis has been applied in order to identify which features an interface should implement in order to facilitate the UI relationship and encourage the spin-off creation.

To support the start-up overcoming the “death valley,” the creation of a link between the strategy used to transfer value to the market and the phase of innovation is proposed inside the business model configuration. Some aspects of a governance model of an entrepreneurial ecosystem were also presented in order to support the business evolution of a single business entity and assuring sustainability over time.

The paper is concerned with spin‐off firms and the process by which a new firm is created and formed from a university. The objectives are to examine characteristics of firms generated by this process, and the intensity of the spin‐off firms' network activity with the parent organisation and the local environment during this process.

The findings are based on a case‐study consisting out of three firms spun‐off from a research centre at Linköping University in the area of visualisation and computer graphics. The source data are gathered from semi‐structured interviews. No generalisation should be drawn from this study due to the small number of firms interviewed and the scope of the technological area addressed.

The results show the importance of collaboration between the university spin‐off, with both the parental organisation and outside organisms, to acquire external competencies in the technological area. The parental organisation plays a pivotal role in the spin‐off process, especially in its early stage where its catalyses the emergence of the business idea by supporting the spin‐off firm with infrastructure and expertise in a specific field of mentorship. However, as the spin‐off evolves, this pre‐incubation service complements yet more support services of municipality and region, which stand to be more important in the technological and business development of the spin‐off.

University spin‐offs have an important place in the innovation process, but their promotion must be part of a wider policy package encouraging networking not only with the host university, but with industry and the public sector as well. For universities and public research organisations, it is advisable to take a more active role in the spin‐off process beyond the pre‐incubation stage.

The purpose of this paper is to investigate contingency factors on the emergence of university spin-off firms. The institutional and organisational factors the paper explores comprise the transfer potential of the university, the strategy and characteristics of the University Technology Transfer Organisations and specific support for spin-off formation.

Based on a unique data set, this cross-sectional study analyses the population of 54 higher education institutions in Germany. At this, 31.4 per cent of the German universities with technology transfer activities participated in this study.

The research identifies a high degree of heterogeneity in the qualification of University Technology Transfer Offices (UTTO) staff and the existence of an entrepreneurship support programme as important antecedents of spin-off formation. In addition, the results reveal that pursuing different or multiple transfer strategies will not be detrimental to the establishment of spin-offs.

It seems that there is still a lack of consensus with respect to the importance of spin-offs as an effective channel to transform research results into economic value. Furthermore, universities aiming at the promotion of spin-offs need appropriate regulations which do not jeopardise the usage of research outcomes for entrepreneurial purposes.

This study contributes to enhance the knowledge on what promotes and inhibits the formation of university spin-off firms, as it first analyses a considerable population of UTTOs in Germany and explicitly considers underexplored and new contingency factors.

The purpose of this paper is to identify whether the entrepreneurial activities of universities in the UK can be statistically grouped together.

This paper is performing a principal component analysis (PCA) of the 2009/2010 UK Higher Education Business and Community Interaction Survey (HE-BCIS) data for the third stream activities of universities in the UK.

The PCA of the 144 included institutions identified four groups of entrepreneurial activities being engaged in by universities in the UK. Three of the four groups were related to spin-offs, labelled as “Staff Spin-off Activity”, “Non-HEI Owned Spin-Off Activity” and “Graduate Start-up Activity”. The remaining factor has been named “University Knowledge Exploitation Activity (UKEA)” and encompasses a wide range of university knowledge creation, exchange and exploitation activities.

The research indicates, through a ranking system for each university for the various groups of entrepreneurial activities, that universities are often entrepreneurial in just one or two of the groups of entrepreneurial activities identified by the PCA. Identifying what is causing those differences is required to further understand why we see this variation across the HE sector.

The use of a PCA to identify groups of entrepreneurial activities is a novel approach. Typically studies use a select few indicators, such as spin-offs or patents to analyse the entrepreneurial activities of universities. This study uses PCA to group together statistically related activities which can then be used to identify what is driving these groups of activities in future studies.

This paper aims to empirically explore the influence that different factors have on the creation of university spin-offs.

This is an exploratory study that uses a multilevel design. The study follows a purposive sampling method where data are gathered from a variety of sources. The hypotheses are tested with a sample of 52 universities from the Latin American region using multiple hierarchical regression analysis.

The results indicate that entrepreneurial orientation, incubators or entrepreneurship support programs and goods market efficiency are the factors that positively influence the creation of university spin-offs.

The results of this study should be observed in light of some limitations. The sample size is an important factor, as a bigger sample could allow for examination of cross-institutional variation in the context of different countries. In addition, the lack of records or public databases makes it difficult to incorporate more information on spin-offs creation, including features or firm performance.

This study is the first to empirically explore the university spin-offs creation phenomenon in the Latin American region. Hence, it contributes to university entrepreneurship literature, specifically to better understand this phenomenon from a more holistic perspective across different levels of analysis at the same time that it incorporates previous proposals to explain entrepreneurial orientation at universities.

Global technological competition has made technology transfer from academia to firms an important public policy issue (Rahm, 1994). Academia and individual academic institutions are a primary source of new knowledge production and innovation (Brennan & McGowan, 2007). It is widely acknowledged that the commercialization of scientific and technological knowledge produced in public funded research institutions, including universities and research centres, into the marketplace have a fundamental role to play in wealth creation, supporting economic growth and technological innovation, and plays a significant role in new venture creation, growth of existing firms, and new job creation (Mansfield, 1991; Harmon et al., 1997; Ndonzuau, Pirnay, & Surlemont, 2002; Siegel, Waldman, Atwater, & Link, 2003b; Steffensen, Rogers, & Speakman, 1999; Walter, Auer, & Ritter, 2006; Perez & Sanchez, 2003). Research by Acs, Audretsch, and Feldman (1992), Jaffe (1989), Mansfield (1991, 1998), and others indicates that technological change in important segments of the economy has been significantly based on knowledge that spin-off from academic research.