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This study aims to explore the effect of competitive aggressiveness on firm performance and the moderating effect of firm 2019s ego-network structures in the international coopetition network.

From the perspective of strong cooperation of the global automobile industry in recent years, this study uses the global automobile firms in Factiva database as samples to test hypotheses using the least squares dummy variable (LSDV) model.

This study finds that there is different relationship between the number and variety of competitive actions and firm performance. In addition, ego-network structures have different coefficients for the number and variety of competitive actions.

The conclusions provide theoretical support and policy suggestions for firms to develop effective competitive strategies according to ego-network structures in the international coopetition network.

This paper aims to analyze how a real estate business model innovation developed in a real estate network, with a special focus on the relationship between ego network structure and the innovative development of the business model.

The paper is a single case study of a Swedish real estate network of 38 actors. The data were collected at the individual actor level using multiple sources: 12 semi-structured in-depth interviews, 94 min of meetings and 28 written contracts. The empirical findings resulted in four propositions.

This study demonstrates that it was primarily the building user who was behind the innovative development of the real estate business model innovation, whereas the real estate company acted as a network hub and network resource coordinator. The ego network structures significantly affected the outcome.

Real estate companies should act as hubs, coordinating all the network actor resources the building user needs in the value-creation process. To be effective hubs, the representatives of real estate companies must create extensive personal and open ego networks to acquire central network positions.

Few studies examine business model innovation, particularly in the real estate context. Though large real estate businesses usually operate in the networks of various actors, analyses based on the network perspective are also lacking. This case study builds a valuable understanding of how network processes in real estate networks can be used as tools to foster real estate business model innovation, which in turn can lead to more competitive real estate companies and building users.

While various scholars have identified relationship marketing objectives as a rationale for sports sponsorship engagement, analytic investigations of the implications of a relational approach to the corporate sponsorship network have been slow to materialize. The purpose of this paper is to advance the discussion of sponsorship as a means of industrial sports marketing towards a network conceptualization, which can be dissected from both the perspective of the sponsoring firms and that of the sponsored enterprise.

This paper employs an illustrative case‐based approach to the application of network analysis tools as a means of exploring the relationship marketing dynamics of corporate sponsorship portfolios.

Several research propositions and applicable network analytics are presented within the context of Formula One racing team sponsorship portfolios. The concepts of network range, density, power, growth, and social capital are explored in regards to their influence on network actors and prospective actors.

Though often neglected in sponsorship research, B2B relational objectives are the focus of this paper, where various evaluative methods are suggested and their dynamic implications illustrated.

By utilizing an international contextual case and explicating several analytic network measures, this research extends the investigation of sports sponsorship beyond the image and awareness‐based objectives that have dominated this area of research. This application of social network analysis to the study of inter‐organizational networks in sport builds on the discussion of sponsorship as a bilateral relationship and advances the dialog towards a broader exploration of corporate sponsors and sport enterprises as network partners.

The purpose of this paper is to understand the role of k-networks in knowledge creation, as existing literature argues that network structure does not provide sufficient explanation per se. This paper proposed diversity as an important construct to explain knowledge creation in SMEs’ k-networks.

First, by reviewing the literature, this paper proposes a hypothesis that predicts a positive association of content and knowledge creation. Then, focusing on patent co-authorship networks of the biotechnology industry in Victoria, this research used an explanatory multiple case study approach to test the formulated hypothesis.

By introducing new constructs, the results provide more insight on the positive association of knowledge content and knowledge creation. Based on the emergent constructs, rival hypotheses are also developed for further research.

Beyond the role of network structure, which has dominated the knowledge network literature, this research highlights how other factors like knowledge diversity are needed to be consider.

Social networks are not just patterns of interaction and sentiment in the real world; they are also cognitive (re)constructions of social relations, some real, some imagined. Focusing on networks as mental entities, our essay describes a new method that relies on stylized network images to gather quantitative data on how people “see” specific aspects of their social worlds. We discuss the logic of our approach, present several examples of “visual network scales,” discuss some preliminary findings, and identify some of the problems and prospects in this nascent line of work on the phenomenology of social networks.

The purpose of this paper is to understand the relationship between foreign direct investment (FDI) and cities and how the relationship between multinational enterprise (MNEs) and local firms facilitates regional cleantech innovation.

Using a combination of social network analysis, regression analysis and interview analysis, the authors map and analyze a cleantech cluster to investigate the relationship between MNEs and local firms and the resulting effects on cleantech innovation.

The findings of the paper indicate that FDI plays a crucial role in cities and their local clusters by acting as a broker between a diverse set of actors: firms, institutions, universities, financial and other intermediaries. Additionally, connectedness to MNEs improves local firms’ innovation.

This study is not free of limitations, mainly, because of the aspects that the analysis is based on one city and one cleantech hub. Further research could verify whether the findings of this paper hold in other cities and industries.

The findings, elucidating the connection between MNEs and local firms, as well as MNEs being important brokers in the local system, and the resulting impact, will help policymakers to take appropriate actions and support the local cleantech innovation. It is important to not only attract high-quality FDI into local clusters, but also to create and support collaborations between foreign firms and local actors, because colocation does not automatically leads to positive spillovers and a lot depends on how MNEs are integrated into the local milieu.

The present paper argues that FDI plays an important role in local cleantech innovation and it is important to integrate foreign firms in local social networks.

The authors analyze FDI patterns in an emerging industry at the city and local cluster level using a unique database containing the information on relationships between MNEs and local firms, as well as interview data.

Social capital has become a general tool for policy interventions in developing countries – often put forward as empowering and improving women’s socioeconomic position. Using the framework of gendered manifestations of networks in patriarchal setting of Bangladesh, the authors argue that while networks are crucial building blocks of social capital they are bound to manifest differently depending on the context in which they are embedded. The paper aims to discuss this issue.

By combining methods of social networks and spatial analysis, this study provides insights into the embeddedness of networks in gender norms. The authors conduct the study in the context of reproductive health networks in rural Bangladesh.

The findings suggest that networks mirror the structure of the society in which they evolve, reproducing rather than challenging disadvantage.

The authors call for a more nuanced view of social capital leading to policy design that is sensitive to different manifestations of networks.

This study is the first to combine novel methods of social networks and spatial analysis to quantify the complex interplay between social networks and gender norms. This study further contributes to the diffusion literature by providing the first comparative view of women’s and men’s reproductive health networks that extend beyond actors’ direct tie.

This paper aims to propose the following questions: How does dynamic positioning influence organization’s innovation performance? Does knowledge base mediate the relationship between them?

The empirical setting of this study is the smartphone collaboration network from 2004 to 2017; the authors selected one-site schemes and data of patents from the Derwent Innovation Database. Furthermore, the authors adopted the negative binomial model with random effects to test the hypotheses.

The regression results show that organization’s dynamic positioning has an inverted-U-shaped relationship with its exploratory innovation. Similarly, organization’s dynamic positioning has an inverted-U-shaped relationship with its exploitative innovation. Besides, knowledge base mediates the relationship between dynamic positioning and organization’s innovation performance.

This study empirically confirms the relationship between dynamic positioning and organization’s innovation performance by separately examining exploratory and exploitative innovation. Furthermore, this study provides a contribution to the literature linking dynamic positioning and organization’s innovation performance by investigating the mediating role of knowledge base.

Prior studies on major customer relationships (i.e. embedded ties) focus mostly on the ties between a focal firm and its immediate customers, hindering the understanding of the influence of indirect ties (both upstream and downstream) on a focal firm's operational performance. In this study, the authors analyze how a focal firm's upstream and downstream connectedness and network location affect its productive efficiency.

Utilizing Compustat segment files, the authors constructed large-scale major customer networks covering the period 2007–2013. The authors applied a fixed-effect panel stochastic frontier model to conduct estimation. Moreover, the authors applied an endogenous panel stochastic frontier model to ensure the robustness of the main analysis.

The authors found that a focal firm's upstream and downstream connectedness both have a positive influence on a firm's productive efficiency, whereas a focal firm's centeredness in the major customer network has a negative influence on productive efficiency. Moreover, it was found that centeredness lessens the positive influences of upstream and downstream connectedness on productive efficiency. The post hoc analysis further confirmed that a focal firm's indirect ties, both upstream and downstream, positively influence a focal firm's productive efficiency.

This study contributes to the literature by evaluating the relative effectiveness of a focal firm's direct and indirect major customer ties, both upstream and downstream. More importantly, this study suggests potential exploitation–exploration trade-offs (i.e. productive efficiency vs. innovation) triggered by a firm's network location.

Facing the global public health emergency (GPHE), the conflict of cultural differences and the imbalance of vital resources such as knowledge among different organizations are becoming more severe, which affects the enthusiasm and sustainability of firms' innovation heavily. It is an urgent problem to be solved for firms how to make use of internal knowledge and external power to help firms' sustainable innovation (FSI). Thus, the purpose of this study is to deeply analyze how firms' internal knowledge diversity (KD) and external ego-network structures [ego-network density (ED) and honest brokers (HB)] affect FSI, as well as how the ego-network structures (ED and HB) moderate the relationship between KD and FSI based on the perspective of the ego network.

Based on the data of the alliance innovation networks of China's new energy industries in 2009–2019, this study uses the social network analysis method and negative binomial regression model to explore the effect of KD and ego-network structures (ED and HB) on FSI, as well as the moderating effects of ego-network structures (ED and HB) on the relationship between KD and FSI based on the perspective of ego network.

This study finds that KD, ED and HB can boost FSI. Moreover, ED plays a negative moderating role in the relationship between KD and FSI. However, the negative moderating effect of HB on the relationship between KD and FSI is not significant.

This study presents fresh empirical evidence and new insights for firms on how to make full use of firms' internal KD and external ego-network structures to facilitate FSI.

First, this study not only enriches the research on the consequences of KD but also expands our understanding of the knowledge-based view to some extent. Second, this study not only enriches the motivation research of the FSI based on the perspective of ego-network in the context of the GPHE but also expands the application scope of social network theory and sustainable innovation' theory in part. Third, this paper is a new attempt to apply social network theory and knowledge-based view at the same time.