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Innovation plays a pivotal role in a national economy and in the research and development of science and technology. Because the elements, capability and development direction of innovation in various countries are dissimilar, national innovative capacity also varies by country. However, previous studies have predominantly measured national innovative capacity through empirical studies by using a single index of innovation output, ignoring that the forms of innovation are heterogeneous across countries and failing to examine the influence exerted by various innovation models on economic development. Thus, the purpose of this study is to fill this gap by using scientific driving force and technological driving force to present the influence of national innovative capacities on economic development.

This study used regression models to test the influence of different national innovative capacities (i.e. scientific and technological driving forces) on economic development and stability.

Using the data of 60 countries, this study determined that both scientific and technological driving forces influenced economic development; specifically, scientific driving force affected economic development through technological driving force. Moreover, both research paper quality and patent quality positively influenced economic stability, but patent quality was the mediator.

This study examined scientific output from both quantitative and qualitative perspectives to determine their influence on economic growth and particularly on economic stability, which lacks dedicated studies. This study strives to bridge this gap in the literature by asserting, from the concept of economic resilience, that high-quality science and technology can strengthen the stability of a country’s economy.

Introduction: Today the ability of nations to develop and implement innovations is core for their international competitiveness. Ukraine is striving for innovation progress; however, its innovation performance is relatively low. The research problem is to find the bottlenecks, affecting Ukraine’s innovation capability.

Purpose: This study aims to research the national innovation capability profiles, based on cluster analysis, to develop an understanding of drivers and threats for the innovation capability of Ukraine.

Need of the study: The knowledge-based economy, which had already turned into one of the most efficient developmental models of the 21st century, became a key driver of international competitiveness for the leading developed countries due to their progressive structural shifts towards the growth of high-technology manufacturing and knowledge-intensive sectors. These trends are significant to capture for the sake of increasing the innovation capability of the economy of Ukraine.

Methodology: The study is based on the K-means clustering method, which is employed for identifying 10 country clusters based on the indicators of their R&D and innovation activities, which allowed us to assess the innovation capability of Ukraine in comparison with 140 countries of the world. Data selection and normalisation were based on the 2019 Global Competitiveness Report indicators.

Findings: The study showed that Ukraine’s innovation capability problems are typical for most developing countries and are prevalently connected to low R&D expenditures, patent applications, and international co-invention activities. Most countries, except for the technologically developed ones, follow the so-called ‘passive technological learning’ strategies, which usually result in low economic productivity.

Practical implications: Several innovation policy implications have been developed for the government of Ukraine based on the cluster analysis results and accounting for the problems of the national innovation system (NIS).

The link between openness and innovative performance has been established as an inverted U-shape relationship, namely, the openness-performance connection is not always positive. The purpose of this paper is to introduce the concept of partner heterogeneity to characterize the influence of “quality” changes in partners on innovative performance, that is, the focus of this paper. Given that partner heterogeneity is crucial in explaining open innovative performance, it is also worth placing the examination of this key construct in emerging regions such as China.

The sample selection of this study covers a wide range of industries, but requires that the sample firms be manufacturing enterprises with an open innovation strategy. With opportunities and challenges associated with partner collaboration toward open innovation, the Chinese province of Zhejiang has established its reputation. Thus, empirical data were collected randomly from data pool of Zhejiang Province Economic and Information Commission, as well as a survey questionnaire. Data were using a cross-sectional survey methodology encompassing diverse organizations, industries, and nations.

Empirical testing of this assumption in a sample of 217 manufacturing firms indicates that partner heterogeneities, which are classified as organizational heterogeneity, industry heterogeneity, and national heterogeneity are all positively associated with innovative performance, but the strength of this association is influenced by environmental turbulence. Technological turbulence significantly and positively modulates the relationships of organizational and national heterogeneities with innovative performance. Market turbulence also plays a significant positive role on the relationship between national heterogeneity and innovative performance, while technological and market turbulence roles on the relationship between industry heterogeneity and innovative performance are not confirmed.

This paper refines the connotative dimensions of partner heterogeneity around the core concept of partner heterogeneity in open innovation in the context of emerging region, China. The study presents a systematic, in-depth analysis, and verifies the impact mechanisms of partner heterogeneity in open innovation on innovative performance by integrating the resource-based view, organizational learning theory, and transaction cost theory.

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.

This chapter presents a theoretical and evidence-based investigation of the contribution that national educational systems make to the development of and transition to a knowledge economy in the Arabian Gulf, generally, and Saudi Arabia, specifically. The challenges to creating an Arabian Gulf knowledge economy are twofold. One is a functional and structural challenge of developing a knowledge economy-oriented mass education system. The other is a cultural and contextual challenge of aligning Arabian Gulf expectations, traditions, and norms with institutionalized expectations for knowledge economies. The knowledge economy development challenge that is specific to national versus non-national Gulf populations, information and communication technology (ICT), and formal mass education systems is highlighted. The chapter concludes with a discussion of the role that national innovation systems play in knowledge economy development in the Arabian Gulf countries.

The purpose of this paper is to provide conceptual foundations for a study exploring the capacity of hard infrastructure and amenities to influence the socio‐economic imprint of urban spaces. The paper argues that some urban developments are more economically efficient in generating innovation and knowledge than others.

The paper reviews the debate between urban density and infrastructure. Drawing on empirical evidence and economic production theory, it explores the spatial links between economic growth, innovation and knowledge productivity. It argues that the growing role of human capital in the production process has linked productivity to a city's mix and levels of infrastructure and amenities. It reviews five key infrastructure types for knowledge‐based developments.

This paper finds that the positive contribution of density to urban vibrancy and human connectivity is constrained by a city's infrastructure and amenity levels. It concludes that urban development cognisant of an appropriate mix and level of infrastructure and amenities will more likely enhance regional knowledge development and innovation than those which are not.

The evidence presented in this paper has a broad range of strategic and practical socio‐economic implications, and contributes towards understanding how urban form can leverage social aspects of a city for economic growth.

Using an inter‐disciplinarian approach, this paper provides invaluable insights into the types of infrastructure and importance of urban form for knowledge‐based development. It contends that well‐planned knowledge‐based developments can be leveraged to ensure the successful implementation and delivery of national innovation and productivity priorities.

The purpose of this chapter is to illustrate the role of higher education establishments in Middle Eastern countries specifically Saudi Arabia. The contributions of higher education establishments are particularly significant in relation to regional and national innovation system, which have been earmarked as engine for growth of the local economy across the region. Our study has chartered the dynamic nature of higher education in the region and their networking capabilities in order to be recognized as key stakeholders of the emerging economy. The study is informed by theoretical dimensions of “open innovation” and how the framework can accommodate the dynamic nature of higher education establishments in order to provide further impetus to ambitious projects such as Vision 2030 in Saudi Arabia. Our study is limited by further empirical evidence but has implication for the region in offering new insights around the evolving conceptualization of entrepreneurial universities and national innovation system.

The purpose of this paper is to present and evaluate the performance of innovation systems by considering two indicators of efficiency and effectiveness. The scope of the evaluation is globally and due to the situation of each country, the suggested strategies are proposed to maintain the status quo or move toward the desired situation for countries.

The approach is to compare and benchmark the countries in terms of the efficiency and effectiveness of their innovation system. The Global Innovation Index report’s input-to-output ratio and the global competitiveness report are used for the assessment.

The findings indicate that countries such as China, Switzerland and the USA have an efficient and effective innovation system. However, the innovation systems in countries such as Brazil and Zimbabwe are not only inefficient but also ineffective. The findings also indicate that the innovation systems of countries such as Iran, Armenia and Egypt are efficient but ineffective. Finally, the authors can name Australia, Qatar and Russia as countries with effective but inefficient innovation systems.

Assessment of national innovation system using efficiency and effectiveness performances is done for the first time at the global stage.

This study investigates the evolutionary pattern of China's electronics industry and China's industrial integration into the Northeast Asian region from a historical perspective. The purpose is to shed some light on the catch‐up path of China's technological capabilities using some empirical evidence covering the period of 1974‐2000.

Market share and the Finger‐Kreinin similarity index (FKSI) are used as measures to trace the path of catch‐up from both quantitative and structural perspectives and evidence is provided at the sectoral level. The Standard International Trade Classification (SITC) classification systems is adopted and FKSI values are derived from international trade data at both four‐digit SITC and sectoral levels.

First, the take‐off points toward rapid progress of China's technological capability in different sectors happened not concurrently but in a sequentially manner. Second, as to structural evolution, the process of China's integration into the world market and the Northeast Asian region started in 1978 and the extent of integration has become higher and higher ever since. Until late 1990s, gaps between China and Japan and between China and Korea have been successfully narrowed in terms of comprehensiveness of export structure in electronics.

The period of 1974‐2000 saw the tremendous transition in China from a centralized and planned system into a market‐driven economy. It also saw several noteworthy shifts of China's industrial policy in order to build up its innovative capacity and to catch‐up with Japan and Korea. Unlike many other studies that deeply root in macroeconomic approach, this study traces the evolution of China's performance at the sectoral level by focusing on electronics industry. The findings of this paper are explained in terms of national industrial policy, location effects, and low‐cost sourcing.