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The research project “From Research to Market: What the EU can learn from the USA” addresses the gap between the laboratory research and market. I examine how government, universities and private companies facilitate the transition of research results to market in the USA. In the report I present various programs that are available to the researchers and entrepreneurs in the US and invite to consider them for implementation in Europe. I argue that different stages of lab-to-market transfer require different mechanisms that should not be limited to funding but include technology transfer assistance and advice on intellectual property, mentoring by peers and industry mentors and access to the laboratory space and incubators. I conclude that the Bay Area answer to closing the lab-to-market gap is by a combination of support mechanisms that reinforce and complement each other, when implemented simultaneously. I invite to discuss which of the US initiatives and programs described in this report shall be promoted in Europe and at which level.

Today's healthcare challenges with unmet clinical needs, high regulation and certification standards, and increasing costs demand faster innovation and technical translation. To address this challenge, Stanford released a fellowship called Biodesign, where need-based healthcare innovation is taught with the approach identify, invent and implement. Since then, different European institutions have adopted the Biodesign innovation approach and organized within the Biomedical Engineering- Innovation, Design, and Entrepreneurship Alliance (BMEidea EU). The generation of successful healthcare innovation isn't only based on participating in an Innovation teaching program. It is much more a matter of having the right innovation ecosystem with an open creative mindset, experts, the respective stakeholders, and access to essential resources within reach (close to clinic). Through a qualitative survey, seven Biodesign based teaching programs in the EU were examined. The study from an academic perspective contains information covering Resources, Activities, Academic Performance, and Transfer Performance. The demand for new healthcare innovations, and especially innovation training programs that address challenges, developed collaboratively with the respective stakeholders, is increasing. Additionally, there is a growing expectation that innovation needs to reach the market quickly and be implemented accordingly. A Healthcare Innovation Ecosystem, where different entities function as a productive unit with a shared vision and committed to application-driven research and technology transfer, will increase innovation's success and adaptation.

University-industry collaboration is increasing its significance due to the active role that society demand from universities. An entrepreneurial university requires understanding the different rationalities and asymmetries of university, researchers and industry in order to best encourage inter-organisational willingness to collaborate as well as to know the impact of their collaboration beyond the boundaries of their partnership. This paper presents an exploratory and conceptual framework providing propositions to gain a better understanding concerning the factors driving and hindering interactions and the willingness to collaborate between university-industry actors. In addition, this research discusses the relevance of the type of impact (economic, technological and societal) of this collaboration as agents of an eco-system accomplishing innovation goals. It concludes with theoretical, managerial and policy implications based on asymmetries on expectations, benefits, capabilities, norms and actors-agency. Such asymmetries affect the entrepreneurial predisposition to interact and strive to achieve societal desirable collaboration outcomes. A preliminary collective actions framework is proposed. Such framework renders a useful tool for universities, industry and government in the management of knowledge transfer and collaboration. [ABSTRACT FROM AUTHOR]

The article is dedicated to the comprehensive study of the key stages of the evolution of the European Union innovation policy, the conditions and factors of transformation of its priorities, as well as the estimation of the main advantages and disadvantages of implementing its polystructural integration model. It is fixed that in course of its development the EU innovation policy has gone through several qualitatively heterogeneous stages, which tended to the interaction of a number of elements, the combination of which ensured identification of scientific, technological and innovation models of this policy. It is proved that the initial stage of the EU common research policy was based on the development of large international cooperative projects of basic and applied research, investment in scientific infrastructure, improvement of scientific education systems and training. In the second stage, the EU's innovation policy acquired the features of technological effectiveness characterized by the identification of the EU's strategic industrial sectors for global innovation leadership, harmonization of technological standards within the integration group, deepening the scientific division of labor with narrow profile of member states in various technological field, strengthening of international scientific and technical cooperation, technological transfer and commercialization of newly developed technologies, as well as the introduction of a favorable environment for technological development of production and service sectors of the economy. The current stage of community innovation policy reflects innovation practices as a systemic process of continuous generation and commercialization of innovations, focused on building the knowledge economy, improving the infrastructure of commercialization of new technologies, protection of intellectual property rights, involvement of small and medium businesses, and social values. It is outlined that as in line with deepening integration processes in the EU, research and innovation practices have become a priority in the comprehensive strategy of competitive development of the integration community, as confirmed by the constant growth of financial allocations for research and innovation development goals, attraction of more stakeholders to the research work and strengthening of common European research area. The EU's innovation policy has now introduced a regular and polystructural pattern with a clear division of goals and coordination of efforts at the supranational, national and regional levels of its implementation. The open model of EU innovation activity, which tends to the involvement of a wider range of associated countries in the implementation of European cooperation research and innovation projects, significantly triggers the introduction of research activities of domestic institutions of Ukraine, unprecedented opportunities for innovation patterns of national economy growth, as well as finding promising niches in international chains of high-tech industrial production and providing knowledge-intensive services. [ABSTRACT FROM AUTHOR]

The purpose of this article and the special issue is to improve our understanding of the theoretical, managerial, and policy implications of the effectiveness of technology transfer policies on entrepreneurial innovation. We accomplish this objective by examining the relationship between entrepreneurship, innovation and public policies in the 186 papers published from 1970 to 2019. Our analysis begins by clarifying the definition of entrepreneurial innovations and outlining the published research per context. We then present the seven papers that contribute to this special issue. We conclude by outlining an agenda for additional research on this topic. [ABSTRACT FROM AUTHOR]

Abstract Local urban identity, culture and knowledge ecosystems continue to shape innovative capacity and technological acceptance despite global exchange in talent, trade and technology. This has important implications for the development and implementation of future smart cities. The last two decades of smart city research has presented smart cities as a generic, universal aspiration without taking into consideration such local cultural differences. Future smart cities have several tasks ahead of them. The first is selecting culturally appropriate technologies from the vast array of global technologies now on offer. The second task is adapting such technology and the third task is in managing the acceptance of such technology. The above process is not linear but must be iterative, with technology acceptance considered simultaneously alongside the selection and adoption of such technologies. This study integrates the substantial literature on Technology Acceptance Modelling into the smart city discourse to begin to address this need. It also further develops our understanding of technology acceptance using the Structural Equation Modelling Method. A new synthetic model is proposed consisting of twelve factors, which have been selected based on a targeted literature review. A survey-based method was used to develop and cross-validate the model sampling a diverse population from various Iranian cities. The result of the above process is a new model named the Urban Services Technology Acceptance Model (USTAM). The validated model includes key factors related to technology such as Self-Efficacy, Operation, Work Facilitation, Relative Advantage and Compatibility. The USTAM is a useful tool for the prediction of technology acceptance in the implementation of smart cities. The final model is significant for various reasons. Firstly, it is significant for ensuring that selected technology is appropriate to local cultural contexts. Secondly it is significant to ensure that integration of technologies at metropolitan scales is managed effectively. The final significant reason is that it is well-suited to helping developing economies participate in the smart city boom in a resource efficient manner. The proposed model can potentially help cities achieve this by guiding them in the selection of appropriate technologies. The proposed model is developed with specific reference to Iran and Bangladesh. The authors suggest that the model is useful for cities of different cultural identities and characteristics, who wish to initiate their own distinctive smart city strategies. Highlights • Technology acceptance literature integrated with current smart cities literature to provide a citizen centric focus • Develops a technology acceptance model for implementing smart cities in emerging economies • Develops a tool to give decision-makers certainty that citizens are likely to accept technologies prior to roll-out. • Provides technology acceptance findings for selected developing cities. [ABSTRACT FROM AUTHOR]

For a while, universities have been perceived by academics and policymakers as potential engines of regional economic development. One specific field of analysis in this regard involves the role of academia in shaping regional attractiveness for knowledge-intensive investments. Nonetheless, there are scant approaches dealing with these issues in developing countries. The goal of this article is to address the attraction effects exerted by high-quality universities on the location of investments in knowledge-intensive activities at the level of cities and microregions, drawing from the case of the state of São Paulo, Brazil. Two-stage Heckman models are applied. Findings suggest weak effects associated with top-tier universities in defining whether a given location receives productive investments or not, but these gravitational impacts are absent in the definition of investment levels. These results indicate weak connections between academic research and agglomeration trends around specific locations in Brazil. [ABSTRACT FROM AUTHOR]

The objective of this article is to present a successful program that built a National Innovation Network based in the University Technology Transfer Offices (TTOs), incubators and science parks.The University Technology Enterprise Network (UTEN), which was launched in March 2007, includes 15 Portuguese Universities and select international partners in a 5-Year program funded by the Portuguese government. The main objective has been to accelerate the development of a sustainable, globally competitive, professional technology transfer and commercialization network within Portugal to increase Portugal’s international competitiveness in university–based science, and technology transfer and commercialization. We argue that all initiatives taken place in the project have gotten UTEN network presently run in the Open Innovation paradigm fostered mostly by the TTOs and their own networks and officers. Science and technology based entrepreneurship was increasingly seen as a key element of Portugal’s ability to grow and prosper (UTEN, 2012). Research universities had worked to foster a range of technology transfer and commercialization activities and offices, together with industrial liaison programs, mostly devoted to fostering entrepreneurial environments, launching technology based start-ups, and bringing ideas from the laboratory to the market. UTEN was created to synergize this growth and stimulate new competencies in international technology transfer and commercialization to facilitate industry access to leading markets worldwide. In other words, UTEN is the living example of an Innovation network - an Open Innovation Network launched to contribute to build the necessary relationships between all actors, giving them the necessary knowledge to play their roles. This working paper shows the actions taken to construct UTEN and improve the Portuguese Innovation Ecosystem. These actions follows the patterns observed in other studies – essentially those ones from Resende et al, 2013; McAdam et al., 2012; Philpott et al., 2011; Todorovic et al., 2011; Rogers, 2002; Rogers et al., 2001; Rogers et al., 2000 and Gibson and Rogers, 1994.We have collected data that shows the success of the program based on the results of the first five years of the project.

The objective of this article is to present a successful program that built a National Innovation Network based in the University Technology Transfer Offices (TTOs), incubators and science parks. The University Technology Enterprise Network (UTEN), which was launched in March 2007, includes 15 Portuguese Universities and select international partners in a 5-Year program funded by the Portuguese government. The main objective has been to accelerate the development of a sustainable, globally competitive, professional technology transfer and commercialization network within Portugal to increase Portugal's international competitiveness in university- based science, and technology transfer and commercialization. We argue that all initiatives that took place in the project have gotten UTEN network present-ly run in the Open Innovation paradigm fostered mostly by the TTOs and their own networks and officers. Science and technology based entrepreneurship was increasingly seen as a key element of Portugal's ability to grow and prosper (UTEN, 2012). Research universities had worked to foster a range of technology transfer and commercialization activities and offices, together with industrial liaison programs, mostly devoted to fostering entrepreneurial envi-ronments, launching technology based start-ups, and bringing ideas from the laboratory to the market. UTEN was created to synergize this growth and stimulate new competencies in international technology transfer and commercialization to facilitate industry access to leading markets worldwide. In other words, UTEN is the living example of an Innovation network - an Open Innovation Network launched to contribute to build the necessary relationships be-tween all actors, giving them the necessary knowledge to play their roles. This working paper shows the actions taken to construct UTEN and improve the Portuguese Innovation Ecosys-tem. These actions follows the patterns observed in other studies - essentially those ones from Resende et al.,2013; McAdam et al.,2012; Philpott et al.,2011; Todorovic et al.,2011; Rogers, 2002; Rogers et al.,2001; Rogers et al.,2000 etGibson and Rogers, 1994.We have collected data that shows the success of the program based on the results of the first five years of the project. [ABSTRACT FROM AUTHOR]

Technology transfer and innovation are considered major drivers of sustainable development; they place knowledge and its dissemination in society at the heart of the development process. This article considers the role of research universities, and how they can interact with key actors and institutions involved in ‘innovation ecosystems’. Considering various approaches of innovation and institutional analysis design (IAD), it proposes an institutional model of innovation where different authorities produce rules and knowledge that can be mobilized and/or changed in their respective action arenas. On this conceptual basis, one initiative is described: integrated poles of excellence (IPEs) for renewable energy in West Africa, which were conceptualized as a resource and knowledge centre connected to project implementation. [ABSTRACT FROM AUTHOR]