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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.

There is a strong academic and professional interest in the changing business model of LCCs in Europe. Recently, even Ryanair which is often considered a European LCC role model has departed from the point-to-point paradigm by offering transfers within its own network. We first provide a general overview of recent changes in the business model of airlines that used to be categorized as LCCs. We then add to existing studies on LCC network strategies toward building connections. While we distinguish different approaches to accommodate transfer passengers, our analysis focuses on mesh networks as an airline network topology other than hub-and-spoke networks to provide online connections. A schedule analysis of Ryanair’s direct and indirect services at its base at Porto airport exemplifies that a mesh network might allow LCCs to go beyond stand-alone operations to become network carriers without requiring a complete transition of the generic LCC business strategy.

This study examines the effect of employees' perceptions of political connections on performance measurement systems (PMS) design choice and firm performance. In addition, this study explores the moderating effect of social networking, a very common and widely used factor by domestic and foreign multinational firms operating in China, and its joint effect with political connections or PMS design choice on firm performance. We collected survey responses from a sample of 110 managers from manufacturing firms in China. Our results reveal that highly politically connected managers use nonfinancial measures, leading to improved firm performance. Our results suggest that social networking interacts significantly with political connections, and nonfinancial and financial measures on firm performance. The theoretical and practical implications of our findings are discussed.

The purpose of this study is to explore the antecedents of digital technology adoption by firms, specifically the role of strategic leader social ties such as board networks and executive academic connections in promoting digital transformation. Moreover, the authors also aim to examine the moderating effect of exploratory innovation strategy on the relationship between board networks, academic connections and digital transformation.

This study uses the panel data of Chinese A-share listed companies from 2010 to 2019. Through text analysis of data such as company annual report, media interaction, asset annotation and International Patent Classification, the authors measure degrees of digital transformation from four dimensions: management attention, media discussion, digital input and digital output. Further, this study employs social network analysis and instrumental variable method to examine the causal relationship between strategic leader social ties and digital transformation.

The study finds that an expansive board network can significantly promote the digital transformation process of companies, in which academic connection of senior executives plays a positive synergistic role with board network. Additionally, firms with exploratory innovation strategies are more likely to utilize board networks to accelerate their digital transformation process.

One limitation of this study is the use of Chinese A-share listed companies as the sample, which may limit the generalizability of the findings to other contexts. Additionally, the study focuses only on two types of strategic leader social ties and does not consider other potential antecedents of digital transformation.

This research provides insights for governments to promote digital economy and industrial upgrading. Policymakers can facilitate industrial digital transformation by creating a supportive policy environment that encourages university–industry collaboration. By fostering academic entrepreneurship and cross-border knowledge transfer, governments can create a thriving ecosystem for digital innovation, thereby enhancing industrial competitiveness and economic growth.

This study helps to improve social welfare. By reducing production costs and enhancing customer experience, digital transformation increases economic surplus for both consumers and manufacturers, enabling society as a whole to benefit from the digital dividend. By promoting collaboration across borders and embracing a digital-friendly culture, businesses and governments can achieve long-term success in the digital age and contribute to building more prosperous and sustainable societies.

This research makes several contributions to the literature on digital transformation and leadership. Firstly, this paper empirically examines the role of board network and executive academic connection in promoting the adoption of digital technology, filling the research gap of leadership antecedents of digital transformation. Secondly, the authors put forward a relatively comprehensive measure for digital transformation, which could help to advance the literature on digital transformation and provide a more nuanced perspective on this topic. Finally, the paper enriches the theoretical understanding of board network and executive academic connection from the perspective of social capital theory and organizational learning theory.

This study aims to explore the influence of a region’s network location characteristics and indirect connections on its innovation capability. The aim is to assist regions in different network locations to use innovation resources to improve their innovation capabilities more efficiently.

This paper represents the Chinese regional innovation network using the gravity model. A theoretical framework is developed to explore the relationships between a region’s innovation capability and its network location. Hypotheses are tested using hierarchical regressions.

First, this paper finds that a region’s network centrality can promote its innovation capability. Second, a structural hole can positively adjust the relationship between a region’s centrality and innovation capability. Third, a region’s indirect connections can inhibit its innovation capability while exhibiting a U-shaped relationship in moderating centrality and innovation capability.

This study uses a multi-index system to construct an innovation network covering 29 regions in China. This network represents the innovation cooperation and overall situation of innovation in China. The paper is one of the first attempts at investigating the relationship between regional network locations and innovation capability. It is also the first attempt at testing the influence of indirect connections on a region’s innovation capability. The findings provide a new perspective on the factors influencing regional innovation capacity and a new way for regions to improve their innovation capability.

The recent economic crisis has significantly slowed Slovenia’s recent social and economic progress and exposed some important long-term problems such as a reliance on low value added industries and lagging labor productivity. The Slovenian government has taken steps to create research partnerships between public science and the private sector and among multiple private sector companies. The purpose of this paper is to conduct a social network analysis (SNA) of the research partnerships and examine whether public funding has created the desired partnerships.

The authors employed a SNA in two stages. In the first stage, the authors treated the founding partners of government-funded 32 research centers as a single two-mode network and investigated how each of the members was bound to the network. In the second stage of the analysis the authors used project data from ten of the centers to characterize a project network based on collaborations on specific projects. Thus, the second stage overlaps the center network with the project network. The authors used information from interviews with network members to assist in interpreting the results.

Networking policies are stimulating collaborations among different types of centers and partners, but to differing degrees. While the formal collaborative network showed strong participation from the private sector, public research organizations, and higher education institutions, some of the centers are not well connected to the rest of the network. Partnership in the development of a proposal in response to a tender does not always translate into project collaboration, and the networks have evolved as project workplans and staffing plans are developed. The innovation network is evolving into an international network within and across scientific areas. Networks are path dependent and require policy stability; experienced bridging institutions can fill gaps where partners lack experience.

The definition of a network member is the company, faculty, or department. In reality, individuals within these organizations are acting on their own connections and experiences, and these may or may not encourage other individuals in the same organization to engage in partnerships. Thus, the authors may be overstating the extent to which one connection among organizations generates experience that will lead to future connection. Another important limitation of the data is that for the second stage of the analysis the authors received project information from only ten of the 32 formal center programs examined in the first stage.

Partnership is a learned behavior and the development of trust among partners takes time. The Slovenian government should provide policy stability and allow niches of technical excellence to emerge through consortium proposals. They should monitor the project partnerships and adjust funding so that it is reaching applicants that are actually partnering on projects rather than working alone or within their own institutional types. Other nations should also monitor the impact of partnership programs to ensure that as they evolve the funding is continuing to support and demonstrate the benefits partnership behavior.

Due to the path dependent nature of innovation partnerships, the authors expect participation in innovation networks to generate a change in the culture of research and development (R & D) partnerships in Slovenia. However, this transition will occur faster as organizations partner face-to-face on actual projects. Centrality in a network fosters common understanding and shared principles of collaboration.

Like many nations struggling to emerge from the recession, Slovenia has to examine its long-term strategy for upgrading its industries and improving productivity. This paper demonstrates how policies to enhance the innovation agenda might be more effective by examining how the networking resources are actually being used, whether participants are participating in networks that cross institutional types, whether policies are encouraging the exchange of information across stages of the innovation process, and therefore whether the policy will move the culture toward greater collaboration and R & D effectiveness. The results can assist Slovenia’s policymakers in redesigning innovation network policy.

Tech startup is the new hope for sustaining economic growth and job creation in a knowledge-based economy. However, research on the entrepreneurial ecosystem (EE) is always constructed upon macro-level analysis and is still very limited to the developed economies. This study aims to tackle those issues by exploring the connections within an EE in an emerging economies context with a micro and meso-level social network approach to unravel the pattern of networks and interactions between each actor in the EE.

This research used multi-layered social network analysis, exploring actors in the ecosystem and their interactions. The authors conducted interviews with startups, support organizations and government agencies. The authors used Atlas.ti software to visualize the network structures.

The authors found that the content of interaction within the EE in the emerging economies differs greatly with EE in the developed economies and they produced distinctive characteristics as follows: lack of a dense network, resource scarcities and structural gaps and weak institutional policies.

The research is based on a case study of tech-based EE in Yogyakarta, Indonesia. Therefore, the authors encourage other researchers to investigate networks and connections in other EEs in emerging economies. This research contributes a conceptual framework to better understand the network of connections in an emerging-economies-based EE.

The research shows grants provision alone cannot contribute to the functioning of EE. The authors argue strategic networks which promote collaboration among actors can reduce holes and structural gaps, as well as resource scarcities in the ecosystem. In addition to that, strong institutional policies and effective policy integration are needed to create a successful EE.

This research promotes the importance of networks, particularly networks between tech startups and strategic organizations to provide resources and support productive entrepreneurship in hopes of sustaining and accelerating tech startup growth within an EE.

The research proposes to add to the existing EE literature by shedding light on governance of EE, as well as exploring network of connection and interaction among actors within the ecosystem. As a result, the study addresses the need for a more micro or operational-level understanding of an EE. Recent calls for EEs literature have also focused on a certain actor’s dynamic function in the ecosystem. By focusing on the role of the government, the research added to the underdeveloped EE literature.

This paper aims to investigate the underlying dynamics of crowdfunding networks. The study examines the impact of actors’ connections, i.e. entrepreneurs’ ties and connections between crowdfunders, on funding success, i.e. the funding amount collected at the end of crowdfunding campaigns. Furthermore, this research explore the role of communities within crowdfunding platforms.

The study leverages the network theory and uses a quantitative methodology based on a regression analysis (ordinary least squares). Data collection was done through Ulule, a leading crowdfunding platform in Europe.

The research provides a description of the structure of crowdfunding networks and their communities. The results show that actors’ connections play a key role in affecting the funding success. Both the entrepreneurs’ ties, i.e. the connections of the entrepreneur before the launch of the campaign and the connections between crowdfunders, i.e. the ties established within crowdfunding communities (redundancy and effective size), positively affect the funding amount collected at the end of the campaign.

This paper has useful implications for several stakeholders such as entrepreneurs, platform managers, communities’ managers, policy makers and authorities. Entrepreneurs should expand and strengthen their ties before the launch of the online call, while managers of platforms/communities should stimulate connections between actors, in particular between crowdfunders within communities, and improve the online spaces of campaigns with new dedicated sections or specific forums. Policy makers and authorities should design specific policies, favor the rise of new types of entrepreneurship (e.g. community spin-off) and support the development of new tools and communities.

This is one of the first empirical studies that explore the underlying dynamics of crowdfunding networks. Results revealed by the analysis might steer other scholars’ interest towards this research path. The connections between crowdfunders within the communities have been neglected so far. This research proposes an original network approach based on typical network parameters. The study sheds some light on the importance of actors’ connections and adds new knowledge in a recent research stream that is still in its infancy.

The upper three OSI layers support the communication requirements of applications, while the lower four layers provide reliable transmission of data. This article describes the lower four layers. First, though, a brief overview of the layered model is presented including a summary of the upper three layers. Then a description of the lower three layers is followed by a discussion of data communication standards associated with specific layers. Architectural concepts are then explored: hierarchy and abstraction within the layers, levels of dialogue, internetworking, end‐to‐end communication, analysis of layer four, and a discussion of connection‐oriented, connectionless, and message‐oriented protocols and applications. The article concludes with a comparison of OSI and the de facto industry protocols, TCP/IP, which are currently used within the Internet.