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As key players in innovation and entrepreneurial ecosystems, Higher Education Institutions (HEI) assume a position as catalysts in creating and disseminating knowledge with repercussions in the societal, economic, political and innovation environments. In this scenario, HEI are facing the need to balance the performance of their traditional missions--teaching and research--with the pursuit of entrepreneurial performance. This brings awareness of the need to pay particular attention to HEI entrepreneurial performance (HEIEP) and how to measure it. Based on HEInnovate, a self-assessment tool resulting from a joint effort of the European Community and the OECD, this study aims to explore the benefits of university entrepreneurial metrics, analysing HEIEP as a discriminant function of the HEInnovate dimensions complemented with a qualitative approach using Fuzzy Set Qualitative Comparative Analysis (fsQCA). The analysis provides valuable details, presenting recipes based on the HEInnovate dimensions or combinations of dimensions to achieve a mission legitimation. This research brings awareness to the use of the HEInnovate scale, where it is possible to highlight the importance of the digital transformation and capability dimension to entrepreneurial performance (EP) and university mission legitimation.

This study sought to understand how the differences in university-industry (U-I) dynamics in two cross-border regions act on their research and innovation performance. Surveys were administered to academics from research centres or units in Portugal's Northern Region and Spain's Castile and Leon. Data were also collected from the Community Innovation Survey (CIS2014) conducted in Portugal and Spain, to obtain a broader perspective on the topic and regions under analysis. A comparison could thus be made between the researchers' perspective (i.e. micro) and the companies' perspective that answered the CIS questionnaire (i.e. meso) on U-I collaboration dynamics. The questionnaires were analysed using Partial least squares structural equation modelling, and the data from CIS survey using logistic regression. The results show that U-I cooperation is associated with (i) time spent on research and development, (ii) budgets based on direct contracts with industries, (iii) companies' location and (iv) incentives for collaboration. However, the researchers' age and academic field are the only factors affecting which incentives for collaboration are significant. The results also reveal that U-I collaboration influences regions' innovation profiles. These findings contribute to a fuller, more empirical understanding of U-I cooperation, demonstrating that encouragement of this type of collaboration can be a driver of innovation in any region. This article contributes in policy terms to a better understanding of the necessary incentives for both U-I collaboration and the internationalisation of this collaboration. [ABSTRACT FROM AUTHOR]

The regional innovation systems (RIS) concept has become popular among academics, political decision-makers and regional stakeholders of innovation. Understanding the competitive dynamics of RIS and their impact on regional competitiveness today has thus become a priority. This paper provides researchers, academics, political decision-makers and other interested parties with a map of the different approaches to RIS, aiding in the definition of new territorial innovation policies. With a co-citation resource approach, an extensive search of the Web of Science database was carried out and it encountered four clusters in the literature on RIS: regional knowledge systems; regional institutional systems; regional research and development systems; and regional network systems. This correspondingly sets out new theoretical perspectives based on bibliometric analysis techniques and new paths for scientific reflection and research. [ABSTRACT FROM AUTHOR]

If innovation is the engine of economies, the partnerships in the Triple Helix model of innovation are the fuel that makes this engine work. Although each member of this model has its defined role, the present study sought to gain a new perspective on these partnerships, including the role of governments. Based on interviews with representatives of universities, companies, and governments in two countries (i.e., Portugal and Spain), this research focused on how innovation partnerships are formed as well as what obstacles to cooperation can arise. The results show that governments can play the role not only of a financier and legislator but also of a direct participant in innovation by entering into partnerships with the other Triple Helix actors. In addition, this study revealed that, irrespective of which partners and needs are in question, these networks operate mostly with public funds. [ABSTRACT FROM AUTHOR]

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This research seeks to identify the factors that best explain the performance of regional innovation in Europe, in the era of smart specialization. Data were collected from the Regional Innovation Scoreboard 2016 and a quantitative methodology was followed using linear regressions as statistical methods. The results allowed us to reach four explanatory models of performance innovation for Innovative Regions Leader, Strong, Moderate and Modest. Some policies have also been suggested as possible regional innovation measures that can help policy makers to clarify and improve the innovation performance of these regions. [ABSTRACT FROM AUTHOR]

As university–industry cooperation is associated with the transfer of knowledge and technology, this collaboration is an extremely important field of study for the world's economies that helps companies become more competitive. The present research, thus, sought to explore and analyse the literature related to university–industry cooperation, using a co-citation analysis. This study's objectives were to (1) identify the main co-cited references and the groups (i.e. clusters) they form and (2) discuss the challenges this literature presented in the study of university–industry cooperation. The articles reviewed were obtained with a search of the ISI's Web of Science and were submitted to a bibliometric analysis using VOSviewer software. This systematic literature review revealed that companies are increasingly focused on cooperation with universities. The results include four clusters, namely, (1) Absorption Capacity, Knowledge and Competitiveness in University–Industry Relations, (2) Impact of Knowledge Spill-overs on University–Industry Relations, (3) Strategic Alliances for Industry Innovation, and (4) University–Industry Cooperation. This study thus contributes to a greater and more detailed understanding of the production flow, scientific practices, and trends in this new and stimulating field of research. [ABSTRACT FROM AUTHOR]

Purpose The purpose of this paper is to study the linkage of innovation and entrepreneurship to economic growth in countries with different levels of development.Design/methodology/approach Following quantitative analysis, the authors carry out three empirical approaches to examine the effects of innovation and entrepreneurship on competitiveness. In accordance with their initial study framework, they test the conceptual model of competitiveness through applying descriptive statistics, structural equation modelling (SEM) and hierarchical cluster analysis. Descriptive statistics and SEM data sources from the Global Competitiveness Report of the World Economic Forum were analysed for 148 countries. The hierarchical cluster analysis furthermore analysed Global Entrepreneurship Monitor data on 67 different countries.Findings The study confirmed that innovation and sophistication factors are crucial to the competitiveness of economies. The study also revealed the definition of five clusters relative to the competitive performance of advanced economies following the introduction of new entrepreneurship variables.Originality/value This research aims to open up avenues for the development of regional competitiveness studies. [ABSTRACT FROM AUTHOR]

The objective of this paper is to explain how the elements of a conceptual model based on KIBS (Knowledge Intensive Business Services) can be applied in an integrated way to assess the innovative capacity of firms in the service sector. The building of the model is based on a bibliometric analysis of the central theme KIBS, in the databases Scopus and ISI Web of Knowledge (Web of Science). We propose a conceptual model, which brings together several dimensions that have not yet been tested in economic sectors. These dimensions are: KIBS, knowledge creation, knowledge transfer, innovation and innovative capacity. The research presents interesting features from the scientific papers analyzed, highlighting gaps that gave origin to the proposed model. [ABSTRACT FROM AUTHOR]