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The purpose of this paper is to investigate the role and the relevance of knowledge‐based capital as a strategic resource and a source of regional innovation capacity. The paper identifies human, relational, structural and social capital as the four main knowledge‐based categories building the knowledge‐based capital of a region. The role of each knowledge‐based category in determining regional innovation capacity is analyzed. Specifically, the authors discuss the relationships among the knowledge‐based categories and a regional innovation capacity.

The paper is based on an in‐depth literature review of the knowledge management and regional innovation research stream. The fundamental underlying research questions that have driven the research are: “What are the knowledge‐based capital categories affecting a region's innovation capacity?” and “How do knowledge‐based categories influence regional innovation capacity?”. The paper is conceptual in its nature and aims to delineate a theory‐based framework to drive further empirical research.

The paper first clarifies the concept of knowledge‐based capital and of regional innovation capacity. These are two key concepts for understanding the role and relevance of the knowledge assets bundles in the creation, development and management of innovation capabilities at regional level. Then the paper explores how knowledge‐based components affect the innovation capacity of a region. This is an issue of great relevance for both theory and practice. From the theory point of view it allows the identification of the main factors characterising the links between knowledge assets and innovation capacity, while from a practical point of view it can provide implications for policy makers for the definition of policies oriented towards the development of regional knowledge asset domains to develop regional innovation capacity.

The paper provides an answer to the need to develop a holistic view of the links between a region's knowledge‐based capital and its innovation capacity. Indeed, most of the studies in the literature have analysed the links between isolated knowledge asset categories and innovation capabilities. The paper, on the basis of a clear definition of knowledge‐based capital and innovation capacity, analyses why regional knowledge foundations make differences in the innovation capacity of regions.

This study responds to calls by researchers to examine the relation between innovation and entrepreneurial ecosystems more closely, and also to further broaden our understanding of regional intellectual capital formation.

A cross-sectional analysis was conducted on NUTS 2 regions of the selected EU countries. In the empirical part of the research, multiple linear regression approaches were carried out using secondary data.

In sampled regions, the entrepreneurial ecosystem positively affects levels of high growth firms and levels of regional innovation capital.

Results lend further support to policymakers to develop and implement a regional-specific policy for fostering entrepreneurial ecosystems. However, given the multiple output nature of entrepreneurial ecosystems, this issue becomes more complicated than ever before.

This study builds upon previous research and complements it by widening the range of effects that the entrepreneurial ecosystem has. In doing so, this study is the first to examine the concurrent effects of these ecosystems on levels of high growth firms and innovation capital while using a regional innovation capital outlook.

The purpose of this paper is to support the competitiveness and knowledge-based economic growth of the Slovak region of Košice and its stakeholders; suitable intellectual capital (IC) methodologies were selected and applied. This approach responds to a weak innovation performance of Slovakia in general and a weak connection of the Slovak labour market and vocational training system.

The methodological “backbone” is given by IC reporting (ICR). The two ICR models – the Austrian University model and the German “Alwert” model – were selected and transferred to higher educational institutions (HEI) and companies in Košice. The knowledge transfer was accomplished by implementation of on-site trainings with different groups of stakeholders, supported by e-learning. Several accompanying in-depth interviews with Austrian stakeholders were conducted to derive recommendations for ICR implementation in the Slovak public sector.

Beyond knowledge transfer, a shared understanding of the importance of IC management and common “IC language” between different stakeholders of the regional innovation system could be developed. Further, several recommendations for a sound development of an IC governance tool for HEI were elaborated.

The knowledge transfer and practical implementation of this Slovak case were successful. Requests for follow-up initiatives, invitations for conferences, development of projects including ICR elements prove this valuation.

A methodological innovation was accomplished by adapting a set of innovation key drivers as structural base for the development of the regional innovation function and interaction of stakeholders.

This paper aims to present a systematic review of the literature concerning major aspects of innovation performance and compare the research hotspots of innovation performance in the twenty-first century with three primary purposes: first, to view the trend of Chinese and English literature on innovation performance research; second, to summarize the research streams in innovation performance; and third, to predict possible directions for future innovation performance research.

The authors first introduce a framework of innovation performance research developments. Then they construct a representative data set of bibliographic records, obtaining 1,768 articles in the SSCI citation index database and 1,431 articles in the CSSCI database. The authors then make a comparative analysis from two aspects: research themes and development of academic communities. The research objects are keywords and references so that co-word and co-cited reference networks are established. Finally, the authors combine the direction of research streams about “innovation performance” to summarize 28 questions in three research fields that can be studied in the future.

The momentum of the literature in English on innovation performance is increasing, whereas the Chinese literature has declined in recent years. The direction of research streams in Chinese and English literature is the same: they are the “innovation system/elements” research stream, the “innovation activity/ability” research stream and the “innovation network/social capital” research stream. Although the directions are the same, the specific contents of the research are different. The direction of future development of innovation performance research can be undertaken in three aspects: follow research into expanding hot topics, mine the research of typical academic circles and develop research into exploring more fields. Combined with the direction of research streams, 28 questions in three research fields are summarized.

Based on the background of “mass entrepreneurship and innovation” in China, the research on enterprise “innovation performance” is becoming more and more important. The findings help us summarize the research streams related to innovation performance research, better understand the themes that point to directions for future development of innovation performance research and summarize 28 questions.

Despite an increasing volume of literature focussed on foreign direct investment (FDI) in transition economies, there has been little research into FDI in Ukraine. The relationship between the inflows of FDI (IFDI) and absorptive capacity (AC) has been under-researched in the peripheral transition countries like Ukraine. The purpose of this paper is to analyse the appropriateness of the Ukrainian economy’s AC to attract IFDI and facilitate economic growth with a particular focus on AC factors, such as the potential of human resources to absorb innovation and benefit from research and development (R&D) expenditure.

This study presents a thoughtful research design: there is an analysis of the AC framework for justification and selection factors that allows a measurement of the potential of Ukraine’s AC to attract and exploit IFDI. The study uses data from 25 regions in Ukraine for the 1996–2015 period. To estimate the effects of IFDI on Ukrainian economic growth, a Cobb–Douglas production function is used. As an appropriate instrumentation technique for dynamic panel data, the Generalised Method of Moments is used to provide unbiased and efficient estimates of the results. The application of the interactive term in this study allows the authors to indicate the existence of complementarities between IFDI and human capital, in particular with higher education, that afford opportunity to absorb new technologies and benefit from IFDI.

The resulting model indicates that R&D expenditure benefited very significantly in evolving country’s innovation system due to economic growth. Physical and human capital has not been used effectively in Ukraine to facilitate economic growth and attract IFDI. The number of patents is not significant in all of the regression models. Moreover, IFDI in Ukraine for the 1996–2015 period did not significantly impact on economic growth. However, the AC of human capital, in particular those with a higher education, is relatively relevant to benefit from IFDI.

The findings have important implications for governmental policy, which should be based on improving the business climate, a strategy for digital development, innovation, migration, institutional and regional policies aimed at the achievement of country’s sustainable economic growth. The government should increase R&D expenditure as an important factor of gross domestic product growth and introduce grants, loans and other financial supports for encouraging students to continue university education.

The originality and value of this paper is empirical and methodological. The empirical results of this study enable a conclusion about the appropriate level of the country’s absorptive capability required to benefit from IFDI. The paper also contributes to the existing academic debate and proves that despite the well-established theoretical framework for the IFDI–AC economic impact context, a new theorisation is needed to explore the full complexity of the country’s explicit relationship between AC and IFDI. Future research should be focussed on examining not only groups of countries but also distinctly the country’s explicit relationship between AC and IFDI with the particular attention for the under-researched countries: the peripheral transition economies to discover new research niches for theory building. This study presents an original methodological approach with a careful justification of the theoretical framework for hypothesis development, an appropriate sample and an original application of seminal research methods based on the Cobb–Douglas production function. This study proves that the interactive term, which allows indication of the existence of complementarities between IFDI and other variables, is appropriate for measuring AC in countries with smaller amounts of IFDI.

A city is a spatial carrier of innovation activities. Improving the level of urban innovation can play a significant supporting role in building an innovative country. China began to implement the innovative city pilot policy in 2008 and continued to expand the policy into more areas for exploring the path of innovative urban development with Chinese characteristics and improving urban innovation.

Based on mechanism analysis, this paper used the panel data of 269 cities from 2003 to 2016 to empirically test the effect of the pilot policy on the level of urban innovation by using different methods, such as the difference-in-differences model.

The results show that the innovative city pilot policy significantly improves the level of urban innovation. However, according to the findings of the heterogeneity analysis, the effect of the pilot policy on improving the innovation level in direct-controlled municipalities, provincial capitals and sub-provincial cities is weaker than that in ordinary cities, and the effect of the pilot policy on improving the innovation level in cities with a higher quality of science and education resources is weaker than that in cities with lower quality of science and education resources.

Moreover, as the level of urban innovation increases, the effect of the pilot policy on improving the level of urban innovation is an asymmetric inverted V shape, which means the effect is first strengthened and then weakened. The research also finds that the locational heterogeneity of the pilot policy for improving the level of urban innovation is not notable. In addition, the innovative city pilot policy can strengthen the government's strategic guidance, promote the concentration of talent, incentivize corporate investment and optimize the innovation environment, having a positive impact on urban innovation. Moreover, the effect of concentration of talent and the effect of corporate investment incentive are the important reasons for the pilot policy to promote the improvement of the level of urban innovation.

The purpose of this paper is to examine the doing, using, and interacting (DUI) of Universities of Applied Sciences (UAS) while developing intra- and inter-collaboration with industry. It also reviews recent literature related to the roles of absorptive capacity (AC) and social capital (SC) in interaction.

A qualitative case research on developing collaborations between UAS and small- and medium-sized enterprises for innovation activities.

Prior knowledge and contacts vary in organisations, and interaction should be supported while aiming to maximise benefits of internal and external resources available for innovation. This paper contributes by pointing out the importance of the interconnection of DUI, AC, and SC while developing collaboration.

This paper describes issues challenging the collaborative innovation activities and directions to focus on structural development to support interaction with parties having different backgrounds, goals, and strengths. The study highlights the importance of knowledge exchange with several universities and firms, and the different learning modes related to innovation.

The purpose of this paper is to analyze the literature on social capital and its contribution to innovation performance.

Through an intensive review of the literature, the paper first analyzes the origin of the concept of social capital. It then explains the contribution of social capital within the organization and management studies. Further, social capital is considered the facilitator of knowledge search and knowledge sharing activities, which are considered of capital importance to innovation outcomes. Further, the paper clarifies the implications of social capital to two types of innovation: radical vs incremental innovation. Finally, the paper analyzes the structural dimension of social capital by focusing on the contribution of two different configurations and their effect on innovation: sparse vs cohesive networks.

The paper contributes to the literature by uncovering the positive, but also the negative, drawbacks of social capital. Moreover, the paper focuses on the structural dimension of social capital and it discusses the controversial results of two different configurations of social capital (sparse vs cohesive networks) to the innovation performance.

This paper provides a comprehensive literature review on both the positive and negative effects of social capital on innovation performance. The paper links social capital to the new innovation model, emphasizing the importance of social capital to knowledge search and sharing activities, and then to the innovation process. The authors suggest investigating the contribution of social capital according to firms' innovation scopes.

This study aims to design a national innovation capability appraisal model. This would indicate Iran’s competitiveness situation among regional countries and suggest factors influencing Iran’s performance promotion.

The methodology included four sections: bibliometric analysis to discover intellectual evolution of innovation capability and related concepts; construction of a multi-division structure of national innovation capability according to the clusters extracted from bibliometric results, and experts’ opinions; creating dynamic network data envelope analysis (DEA) according to designed structure, and analysis of Iran’s performance among regional countries; identification and prioritization of the factors extracted from experts’ opinions that improve Iran’s performance in created network using Fuzzy decision-making trial and evaluation laboratory method.

The contemporary bibliometric analysis by its extracted clusters proved the necessity of a multi-division for measuring national innovation capability performance that each division and indicators of each step were designed according to clusters concepts. In designed structure, dynamic network DEA results revealed the weakness of Iran’s performance in the third division in the transformation of patents and high-tech imports to high-tech and creative exports, which led to proposing improving factors by getting experts’ opinions to enhance Iran’s performance in this division by prioritizing them.

One of the limitations of this research was that the indicators used in three phases of national innovation capability in DEA were extracted only from the World Intellectual Property Organization database. Another limitation was the number of experts in focus group sessions because due to the difficulty of gathering them in one session, the researchers lost the participation of some of these recognized experts. Also, the research concentration was on the improvement of the third phase of national innovation capability, in which Iran’s performance was weak.

Creating a relationship between the divisions of dynamic network DEA, as a national innovation capability appraisal model, and the concepts of clusters extracted from reviewing the intellectual structure and evolution of innovation capability and related concepts.