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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.
Thisarticleaimstoevaluatetheresourcesandcapabilitiesininsularregions,andalsotounderstand howvaluecreationandcommercializationtakeplaceintheexistingecosystems.Aqualitativeresearch methodologywasfollowedthroughacasestudy,incorporatinginterviewswithincubatorsmanagersof theinsularregionsofPortugal(AzoresandMadeira).Theresultsshowsomedifficultiesasaresultof theecosystem’sinsularity.Toshortentheinsularregionsdissymmetrycomparedtoothernon-insular regions,anewmodelisproposedtohelptheseregionsovercometheireconomicandsocialproblems.
Entrepreneurial ecosystems are now central to the economic policies of nations, with particular relevance in Europe. This chapter intends to explore the evolution of the studies on innovation and entrepreneurship ecosystems in order to identify gaps and new perspectives of research that can serve as a reflection to universities, political decisions, and the business fabric. Extensive research was conducted using the Web of Science database. Six clusters were found in the literature on entrepreneurship and innovation ecosystems: ecosystems of innovation, entrepreneurship, region, new ventures, technology, and entrepreneurial university. New theoretical perspectives based on bibliometric analysis and new research paths have been identified.
The recent change in the regional development strategy of the European Union (EU) results in an important need to study the terms of change and their respective implications. This study seeks, through a bibliometric analysis, to ascertain the developments taking place in studies on research and innovation strategies for smart specialisation (RIS3) to identify shortcomings and opportunities for future research. This bibliometric review drew upon the Scopus database with the sample selected containing all the articles containing the keywords “Research and Innovation Strategies for Smart Specialisation” or “RIS3.” This correspondingly reports how some authors maintain that the path the EU should take involves imitative innovation. Meanwhile, others propose that each region should specialise in those industries that are already established there and thus avoid targeting any areas they do not already know/specialise in. Our findings detail six clusters in RIS3 research, which help in contextualising the literature review: (a) business discovery; (b) smart specialisation; (c) innovation; (d) specialisation; (e) regional policies; and (f) regional development. This study furthermore sets out perspectives for future lines of research and correspondingly seeks to convey a vast theoretical basis that may serve as the point of departure for future studies.
Global competition is today a reality and making smart regions smarter through smart specialization is currently on the political and economic agenda of territories. This study aims to contribute to clarifying the framework for the regional innovation ecosystems as well as identifying new research paths. Through extensive research using the Web of Science database with resource to a bibliometric analysis on smart specialization, six clusters were identified: cluster 1 – innovation networks and triple helix; cluster 2 - regional innovation systems; cluster 3 – regional innovation network; cluster 4 - smart innovation policies; cluster 5 – smart specialization; and cluster 6 - Asian innovation systems. Several future lines of research recently published in literature distributed by the six clusters were identified. This study also contributes to open new research horizons in these areas of knowledge, allowing the emergence of new streams of thought on the part of scholars, policymakers, economic agents and society in general.
Purpose This paper focuses on the issue of global competitive advantage of nations, based on the dimensions analyzed by the World Economic Forum in assessing the economic competitiveness of a large sample of countries. From the different stages of development of the countries, this study aims to help us to recognize what variables better explain the global competitive advantage of economies. Design/methodology/approach Following quantitative analysis, results based on PLS show what dimensions within each economic development stage best explain the global competitive advantage of economies. Findings Beyond the institutions, infrastructure and regulation of the markets, higher education and training, the technological readiness, the business sophistication and innovation contribute greatly to explain the competitive advantage of economies. Originality/value Understanding the drivers of global competitive advantage of nations, this study may help academics to conduct new studies, as well as politicians to define intervention priorities.
This paper sought to analyse the dynamics underlying university technology transfer and commercialisation mechanisms. We adopt a qualitative research methodology, which incorporates different case studies, interviews and applied research of the actors involved in universities, business incubators and start-ups. While limited to three case studies, this paper does highlight the technology transfer mechanisms and the support provided to commercialisation, including the identification of the difficulties and opportunities present within the context of cooperation networks. By surveying those running incubators and incubator company managers in conjunction with analysis of research, development and innovation (RDI) cooperative projects backed by European funding, we were able to gain insights into the different processes of transferring and commercialising technology. Falling within the framework of the third component of universities’ mission, this article demonstrates not only the importance of RDI cooperation networks but also how the consequent commercialisation of new products and services generates positive consequences for economic growth.
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.