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This chapter elaborates on the role of clusters and innovational networks in Russia and interprets that the future growth of Russia’s economy depends on the development of clusters and innovational networks. We substantiated that clusters and innovational networks possess considerable potential in the sphere of provision of sustainable growth of Russia’s economy. Today, this potential is not used due to unequal distribution of clusters and innovational networks on Russia’s vast territory and due to their being at the initial stage of development – despite their prolonged period of existence. However, even in the current conditions, clusters and innovational networks make a significant contribution to Russia’s GDP (15.58% in 2018). By 2024, by implementing our described optimal scenario of clusters and innovational networks development, it would be possible to expand Russia’s GDP by 15 times, which will allow increasing the country’s GDP by 2.5 times. This positive effect will be achieved due to the provision of balance and stability of economic growth, which will make it more sustainable. Clusters and innovational networks should become a basis for sustainable growth of Russia’s economy. We recommend a scenario of sustainable growth based on a more equal distribution of clusters and innovational networks across Russia and a quicker development of clusters and innovational networks via more extensive involvement of private businesses.

Network structures are critical in the acquisition of resources; however, their impact on innovative performance remains unclear, especially in an uncertain environment. This study aims to advance research on network research by investigating how the configuration of the industrial environment shapes the relationship between network structures of a new venture and its innovative performance.

Empirical support was derived from entrepreneurial survey data. Data were collected through a survey of 1,510 new ventures in Taiwan for this research study.

The authors find that innovative performance is impacted by different aspects of the network structure, and that environmental uncertainty contributes to this impact. Overall, the authors find that network structure, innovative performance and environmental uncertainty together contribute to a contingent view of the conditions under which network boundary conditions impact innovative performance.

Given the contradictory role of network centrality and the cooperative network on innovativeness, managers need to focus on acquiring a critical position in the industrial network rather than expecting to obtain resources and information from strong relationships with cooperators, especially in an uncertain environment.

This research contributes to network theory in two ways. First, it provides descriptive data on different aspects of the network structure and how these aspects impact innovative performance. Second, it sheds light on the configuration of resources and allocations for new ventures, which must compete with rivals in an uncertain environment.

To reveal the impact of the development of technology parks and innovative networks on the national digital economies.

The following methods are utilised: the complex method, statistical analysis, comparative method, correlation analysis and linear programming (method of the game approach category).

We reveal the impact of the development of technology parks and innovative networks on the national digital economies. Analysis of the formation of the digital economy includes the assessment of its components (Rank Knowledge, Rank Technology, Rank Future readiness) in the context of the development of the analysed developed countries (Belgium, France, Iceland, Spain and Hong Kong). It is discovered that Hong Kong and Iceland have high indicators of digital technologies implementation. We prove that these results are connected to investments in this sphere made by integration structures, including the sphere of business, sciences and government agents (in the case of Hong Kong). We perform an analysis of the clustering of the given countries and describe the main forms of integration that ensure the innovative development of the economy. Based on the study of analytical and statistical materials, we determine the perspective model of the impact of these integration mechanisms on the state of innovative development of the digital economy, which could be applied to developing countries.

The originality and value of this research are due to the development of a model of the impact of implementing the integration mechanisms on the state of innovative development of the digital economy, which could be used in the case of developing countries.

The purpose of this paper is to investigate the relationship between capabilities and renewal of organizational and business know-how in franchise networks.

This work uses a comparative case study of adaptive, absorptive and innovative capabilities to investigate knowledge renewal in 16 franchise networks.

The findings show that adaptive and innovative capabilities complement each other to foster know-how renewal. Furthermore, networks without internal R&D need to mobilize adaptive, absorptive and innovative capabilities to renew both organizational and business know-how. The findings also highlight that the three capabilities are interconnected.

The results of this research could provide insights for franchise networks to regenerate their knowledge base and ensure their long-term survival.

The underlying capabilities that explain organizational and business know-how renewal in franchises have not been investigated.

This paper aims to investigate the role of characteristics of vocational education teachers’ personal network at the workplace for determining the resources that enable them to cope with innovation-related demands at work.

A survey study with 48 vocational education teachers is carried out. Social network analysis, correlation analysis, and a comparative descriptive analysis of cluster profiles of teachers’ personal network at the workplace are carried out.

This study provides evidence for the role of network size as a facilitator of innovative work behaviour (IWB) outside the classroom. However, smaller networks can also support the development of innovations if they contain dense interactions with experienced, innovative professionals.

This study implies to further investigate the role of network size in relation to the kind of network interactions (e.g. density of interactions and experience of members) in the context of larger and versatile work contexts.

This study implies that organisations should provide structures, tasks and events (e.g. interdisciplinary work teams and boundary crossing events) that enable employees to build network connections that help them to manage work-related demands. Employees themselves should reflect on their personal interaction preferences, their specific needs for support and the availability of co-workers who can provide this support.

This study contributes to the discourse on the relationship between professional networks and the development of innovations. Especially, the social work context and its role for IWB have hardly been investigated from a network perspective.

The purpose of this study is to systematically review the existing literature on the blood supply chain (BSC) from a network design perspective and highlight the research gaps in this area. Moreover, it also aims to pinpoint new research opportunities based on the recent innovative technologies for the BSC network design.

The study gives a comprehensive systematic review of the BSC network design studies until October 2021. This review was carried out in accordance with preferred reporting items for systematic reviews and meta-analyses (PRISMA). In the literature review, a total of 87 studies were analyzed under six main categories as model structure, application model, solution approach, problem type, the parties of the supply chain and innovative technologies.

The results of the study present the researchers’ tendencies and preferences when designing their BSC network models.

The study presents a guide for researchers and practitioners on BSC from the point of view of network design and encourages adopting innovative technologies in their BSC network designs.

The study provides a comprehensive systematic review of related studies from the BSC network design perspective and explores research gaps in the collection and distribution processes. Furthermore, it addresses innovative research opportunities by using innovative technologies in the area of BSC network design.

This paper aims to explore the latent structure of the literature on interorganizational network and innovation as well as to map the main themes and empirical advances in this research stream.

Using bibliometric coupling, the authors analyze the citation patterns in 67 management studies regarding innovation networks, published in ISI-journals from January 1996 to October 2012.

The authors identify the conceptual orientations that studies share. Bibliometric analysis allows us to draw an overview of how this field of research has developed, recognizing in essence six main clustered research themes: networks as a framework that sustains firm innovativeness in specific contexts; network dimensions and knowledge processes; networks as a means to access and share resources/knowledge; the interplay between firm and network characteristics and its effects on innovative processes; empirical research on networks in highly dynamic industries; and the influence of industry knowledge domain’s peculiarities on network dimensions and characteristics.

By providing a comprehensive survey of current trends in the literature on interorganizational network and innovation, the authors eventually identify the major gaps in our knowledge and help refocusing the current research agenda in this increasingly relevant research stream.

The systematic introduction to the field of innovation networks is of notable interest to scholars and practitioners, who have (or desire to have) some awareness in the topic. Here, practitioners may find their compass to acquire some knowledge on innovation networks and orient their choices.

First, the spatially organized picture of the intellectual structure of the literature the authors offer is the initial thought-out comprehensive introduction to the field of on interorganizational network and innovation. Second, by developing a thorough bibliometric analysis of the extant bulk of the innovation networks literature, the authors develop specific methodological contribution. Third, we are able to map the intellectual structure in a two-dimensional space to visualize spatial distances between intellectual themes.

How do ego-networks evolve? How does such evolution affect firms’ innovation output? This chapter uses a longitudinal sample of firms in the biotechnology industry to address these questions. We use social network theory to develop a model of the structure and dynamics of firms’ interorganizational research collaboration ego-networks. Using novel longitudinal methods, this chapter demonstrates how research collaboration ego-networks in the biotechnology industry change over time and how this evolution affects focal firms’ subsequent innovative output. The model is tested on a sample of 482 biotechnology firms over a span of 17 years (1990–2006). The results indicate the significant impacts of ego-network size, ego-network growth, and the inclusion of new members in the ego-network on the innovation output of biotechnology firms. Our results also suggest that enlarging ego-networks by adding new and diverse members presents significant management challenges.

The purpose of this paper is to develop a framework for analysing the configuration of knowledge networks used by innovative rural small- and medium-sized enterprises, and the nature of the relationships between knowledge transferring actors.

The research is based on semi-structured interviews with rural innovative entrepreneurs and regional key informants. Social network analysis (SNA) was used to identify configuration of relationships, and content analysis to understand the nature of the knowledge relationships.

Higher innovation levels are related to proactive and strong relationships with extra-local actors, usually from the international level, mainly from the Baltic Sea region. The actors, who have a greater role in innovation, are special customers, scientific organisations and non-human actors (e.g. trade fairs). Greater variety in proactive relationships helps achieve higher-level innovations. Reactive and weaker relationships tend to be related to lower innovation levels.

This study contributes to the development of rural innovation research practice through the development of a framework for analysing the configuration of knowledge networks and the nature (activity and strength) of relations between actors. Thus, two different dimensions not used together previously are combined and advanced. In addition, in this paper, the relations that go beyond a region’s borders are also included, compared to earlier studies, where SNA was commonly used only with reference to relations inside a territory. An example from Central and Eastern Europe supplied to the literature on rural innovation networks is of additional value.

Energy conservation and environmental protection industry (ECEPI) is a strategic choice to promote energy conservation and emission reduction, develop green economy and circular economy. However, China’s ECEPI is still in the stage of rapid development and the overall scale is relatively small, what development periods have the ECEPI experienced? This study aims to contribute to a better understanding of collaborative innovation evolution based on social network analysis from the perspective of multi-dimensional proximity.

Methodologically, this study uses social network analysis method to explore the co-evolution of multidimensional collaboration networks. It divides China’s ECEPI into four periods based on national policies from 2001 to 2020. This contribution constructs collaborative innovation networks from geographical, technological and organizational proximity.

The results show that the collaborative innovation network was initially formed in the central region of China, gradually expanded to neighboring cities and the core positions of Beijing, Jiangsu and Guangdong have been continuously consolidated. C02F has been the core of the collaboration networks, and the research focus has gradually shifted from the treatment of wastewater, sewage or sludge to the separation field. Enterprises always occupy a dominant position in the collaboration networks.

This research investigates the dynamic evolution process of collaborative innovation network in China’s ECEPI from the perspective of multidimensional proximity, explores the community structure, important nodes and multidimensional proximity features in the network, expands the research perspective on evolution characteristics of innovative network and the research field of social network analysis. Theoretically, this study enriches collaborative innovation theory, social network theory and multi-dimensional proximity theory.