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This study aims to examine how external and internal conditions drive the impact of circular economy mechanism by decomposing into three policy networks in terms of reduce, reuse and recycle, to better understand the contingency model of climate change and effect of firm size on subsequent performance.

Drawing on circular economy network and resource-based view (RBV)-network-resilience strategy framework, a pooled longitudinal cross-sectional data model is developed using a sample of 4,050 Taiwanese manufacturing multinational corporations (MNCs) making foreign direct investment between 2013 and 2018. Structural equation modeling analysis is used to comprehensively examine and investigate each circular economy policy network in the context of climate change and firm size. Post hoc multigroup analysis (MGA) is also conducted.

MGA shows that the reduce policy network is positively and negatively related to manufacturing know-how and production size, respectively. The impact of reuse policy network can enhance the competence of large firms. The recycle policy network is more prominent in terms of competence enhancement of climate change.

MNCs are seeking to build circular economy policy networks to a greater extent, given climate change pressure and guidelines.

This study adds to the circular economy and RBV-network-related literature on climate change and interactions to enhance performance, echoing the recent call on the sustainability of the circular economy of MNCs.

The purpose of this paper is to suggest how enabling policy should be focused in a knowledge economy by developing the concept of a knowledge economy social network (KESN).

The paper employs an interdisciplinary approach in developing the KESN by drawing on concepts and methodology from economics, political science and social network theory.

The KESN's social capital is defined. As such, maintaining accountability, increasing cohesion and connections among knowledge actors are suggested as relevant guidelines for policy in the KESN.

The knowledge economy should ideally be seen as having unique needs compared to the traditional economy in devising policy.

The paper suggests using the KESN as a basis for devising policy for a knowledge economy.

The paper uses an interdisciplinary approach to studying the knowledge economy and introduces the KESN.

In this chapter, the authors highlight the emerging discipline of network sciences and the evolution and adaptation of human networks. The change is considered in the context of a shifting economic landscape and the importance of knowledge in the twenty-first-century knowledge economy. The chapter offers a fundamental definition of networks and explores the shifting geography of networks. Specifically, the authors explore door-to-door, place-to-place, and person-to-person network geographies. The authors model economic systems as networks and explain the role of human, structural, and relational capital as nodes, messages, and links in networks.

This paper aims to clarify the spatial connection characteristics and organization mode of logistics economy of 21 cities in Guangdong Province under the background of the integrated development of Guangdong, Hong Kong and Macao Bay area, and explore the spatial development characteristics and influencing factors of logistics economy in Guangdong Province.

This paper constructs the development level model of urban logistics economy in Guangdong Province from three aspects: demand level, supply level and support level, and uses the entropy weight method to measure the development level index of urban logistics economy in Guangdong Province. Then, the traffic accessibility index model is used to measure the traffic accessibility index between cities in Guangdong Province. Finally, using the social network analysis method, combined with the development level index of urban logistics economy in Guangdong Province and the urban traffic access index in Guangdong Province, this paper analyzes the spatial connection characteristics and influencing factors of logistics economy network in Guangdong Province.

There are regional differences in the development level of logistics economy in Guangdong Province; The overall network density of its logistics economic connection is large, but there is an imbalance in the network structure, and the core edge phenomenon is obvious; Logistics economic space presents the characteristics of double core development.

Because the research object is the spatial connection characteristics of logistics economy in Guangdong Province, the research results may lack universality. Therefore, researchers are encouraged to put forward further tests.

By studying the spatial connection mode of logistics economy in 21 cities in Guangdong Province, China, this paper promotes the original methods and empirical contributions, and constructs the research framework of spatial relationship of logistics economy. This research framework is universal to a certain extent.

This paper is conducive to promoting the integrated development of logistics economy in Guangdong Province and improving the balance of regional development of logistics economy.

Firstly, this study provides a new perspective to understand the spatial relationship and spatial spillover of logistics economy from relational data rather than attribute data. Secondly, This study enriched and broadened the research topic of spatial correlation of logistics economy. Thirdly, this research aims to promote the original methods and empirical contributions. Specifically, this study establishes a comprehensive research framework on the spatial network structure of logistics economy.

This paper aims to discuss the important and changing role of personal networks for transformation in Russia, and the related challenges for management. Formal institutions supporting the transformation to a market economy have been weak and Russian managers still tend to rely on personal networks. While these networks are important in all economies, they play a different role in full‐fledged market economies than in planned economies.

The paper is conceptual and is based on literature on the nature of markets, the Soviet planned economy, and the transformation process in Russia. A business network approach is used to understand markets and focus on the dynamics of overlapping business and personal networks.

Overlapping between business networks involving non‐Russian networks and between personal and business networks are important drivers of transformation. The challenges for management in Russia are both organizational and strategic, and transformation implies substantial changes in the network structures.

The authors recommend further empirical analysis of the role that the overlapping of business and personal networks plays in transformation, as well as its managerial implications.

This paper shows why firms must build business relationships during transformation that are integrated in nature and in which personal relations support the technical, logistical, financial, and knowledge exchange dimensions.

This paper challenges the dominating view of transformation, which says that market exchange is transactional, impersonal, and competition‐driven. The paper analyzes transformation in Russia as a network overlapping process in which the role of personal relations changes.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of this paper is to examine whether competitor concentration relates to better customer acceptance of the firm’s offerings and better networking of the firm with competitors and government officials.

The research is conducted in the context of the transition economy of Vietnam, using a combination of methods. Qualitative interviews are followed by a survey of 199 small firms in Hanoi, Vietnam. Since competitor concentration is count data, Poisson regression is used to test the relationship between networking, customer acceptance, and competitor concentration.

The results show that locating in a competitor concentration area improves customer acceptance of the firm’s offerings and increases networking with competitors, while decreasing networking with government officials. Competitor concentration does not help improve firm performance.

A sample of 199 businesses in the food, furniture, and jewelry sectors in Hanoi may not be representative of all private businesses in Vietnam. The use of cross-sectional data could not establish causational relationships among variables.

Small firms in transition economies should be aware of the trade-offs between initial customer acceptance and negative consequences of being in a competitor concentrated area. Thus, once the firm’s offerings are generally accepted by customers, the firm may consider moving out of competitor concentration areas to expand and differentiate.

This paper points out that in the absence of effective market institutions, businesses want to be located near a concentration of similar firms as a means of gaining initial customer acceptance. This initial acceptance does not necessarily help firms improve business performance beyond the firm’s survival.

In the absence of well-developed, formal institutional frameworks, informal network-based strategies have been argued to be especially viable in emerging economies. However, some empirical research has challenged these earlier theoretical arguments. In light of new evidence, this chapter develops a contingency perspective differentiating firms' networks as strong ties and weak ties. It suggests that while strong-tie networks are typically found during the early phase of institutional transitions, weak-tie networks are more likely to be developed and leveraged during the late phase of transitions. The upshot is that as the performance benefits of strong ties decline during institutional transitions, emerging weak ties' impact on firm performance is likely to increase.

Social media networks make their services freely available to all users. Users pay for the service received with the time and attention taken by the advertisements. This chapter argues that social media platforms are a unique form of monopoly driven by “the more the merrier” effect (i.e., network effects) in users' consumption. These monopolies exercise market power, not by charging higher prices to users but by “tying” larger amounts of advertising to their content. Traditional antitrust instruments designed to address excessive pricing and reduced output by monopolies need to be reframed to tame the attention economy problems in the social media industry. This chapter discusses five antitrust instruments grouped in three categories: structural, behavioral, and market-based remedies. Market-based solutions are the least explored in the literature, despite being the most promising instruments to lower the attention costs imposed on users, while preserving the economies of scope in production and the network effects in consumption, and possibly maintaining free access to social media, as we know it today.

The purpose of this paper is to examine how entrepreneurs in emerging economies use their knowledge to help create new businesses and increase their profitability in the international marketplace. Emerging economies are playing an increasingly important part in the global marketplace, particularly in terms of how they use knowledge-based resources and entrepreneurial networks.

The methodological approach of this paper is to analyse the entrepreneurial processes in emerging economies by using the Global Entrepreneurship Monitor (GEM) to evaluate whether the stage of economic development affects intention rates of individuals to start new businesses. Utilising a panel approach to evaluating entrepreneurial intention from 2009 to 2013, a number of hypotheses are tested to see how entrepreneurial knowledge and network knowledge affect the likelihood to engage in new business activity.

These hypotheses are analysed based on the economic development stage of a country. The findings of the hypotheses suggest that entrepreneurial and network knowledge can help determine an individual’s intention to start a business, but although network knowledge is related to economic development, entrepreneurial knowledge is not significant.

The GEM report is helpful in seeing longitudinal changes in entrepreneurship from emerging economies. This helps increase research interest in emerging economies by encouraging more appropriate policy aimed at increasing new business creation.

Implications for entrepreneurs and public policymakers in emerging economies are stated, which suggest that it is important to foster entrepreneurship education. Suggestions for future research linking knowledge-based resources and entrepreneurial intentions in emerging economies are also highlighted.

The findings demonstrate that the propensity of individuals to engage in new business creation in emerging economies is different to those in developed countries because of funding constraints and lack of access to the appropriate skills.