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This study aims to advance networking-based, construction-related business management (BM) knowledge, concepts and practices. The focus is on the supply side and therein networking between three or more companies on an equal, legal, managerial and organisational basis.

The literature reviewing process has resulted in the identification of 79 construction-related BM concepts published between the years 1990 and 2017. In this paper, the focused review reveals the degrees to which the authors have designed their BM concepts along the networking dimension.

Indeed, 33 (42 per cent) construction-related BM concepts have been designed along the networking dimension. There are 7 (9 per cent) high-degree, 11 (14 per cent) medium-degree and 15 (19 per cent) low-degree BM concepts. The high-degree ones include Bennett’s (2000) tapestry, Hobday’s (2000) project-based organisation, Cheng and Li’s (2002) partnering model, Love et al.’s (2002) long-term alliance, Kiiras and Huovinen’s (2004) virtual PM company, Helander and Möller’s (2007) network resources as well as Wikström et al.’s (2010) business networks.

Aligning with Penrose (1995), networking-based BM may imply a paradigm shift vis-à-vis managing in construction markets, i.e. it is envisioned that many researchers replace a firm with a business network as a unit of theorising.

It seems that the seven high-degree BM concepts enable firms to manage businesses with similar contexts embedded within construction markets in networking-based, viable ways.

There is very little applied theoretical knowledge about networking as part of construction-related BM. This exploratory, focused review may trigger future BM research along the networking dimension.

The study utilises unique survey data gathered from 12,427 party members. The dependent variable measures party members’ in-party commitment and is based on willingness to donate money, to contribute effort, the feeling of belonging in the party network and social trust in the party network.

In this article, we study how different extra-parliamentary online and offline activities are associated with in-party commitment amongst political party members from the six largest Finnish parties. We especially delve into the differences between members of the Finnish parties.

We found that extra-parliamentary political activity, including connective action through social media networks and collective action through civic organisations, is highly associated with members’ in-party commitment. Additionally, members of the newer identity parties more effectively utilised social media networks, whilst the traditional interest parties were still more linked to traditional forms of extra-parliamentary political action.

By employing the sociological network theory perspective, the study contributes to ongoing discussions surrounding the impact of social media on political participation amongst party members, both within and beyond the confines of political parties.

Using overlapped portfolio data on public equity funds in Korea, the authors construct several types of fund-stock weighted bipartite networks and measure fund network centrality. The authors also examine the relationship between network centrality and fund investment performance. The authors' results are three-fold. First, the authors find that the fund centrality of the network in which funds and stocks are connected based on the most active investing behavior positively affects the fund performance. Second, the funds with a high centrality level based on the same network generate higher returns by holding stocks with high value uncertainty. Third, the authors find that fund centrality is not associated with herd behavior. Based on these results, the authors argue that fund centrality is a proxy of information advantage and skill of fund managers. The authors' paper shows that network analysis could be a new way to identify funds with better performance and measure the skill and information advantage to construct an optimal portfolio.

The purpose of this study is to investigate whether and how inter-firm cooperation and firm age moderate the relationship between family ownership and productivity.

We first estimate the total factor productivity (TFP) of a large sample of Italian firms observed over the period 2010–2018 and then apply a Poisson random effects model.

TFP is, on average, higher for non-family firms (non-FFs) than for FF. Furthermore, inter-organizational cooperation and firm age mitigate the negative effect of family ownership. In detail, it is found that belonging to a network acts as a moderator in different ways according to firm age. Indeed, young FFs underperform non-FF peers, although the TFP gap decreases with age. In contrast, the benefits of a formal network are high for older FFs, suggesting that an age-related learning process is at work.

The study provides evidence that FFs can outperform non-FFs when they move away from Socio-Emotional Wealth-centered reference points and exploit knowledge flows arising from high levels of social capital. In the case of mature FFs, networking is a driver of TFP, allowing them to acquire external resources. Since FFs often do not have sufficient in-house knowledge and resources, they must be aware of the value of business cooperation. While preserving the familiar identity of small companies, networks grant FFs the competitive and scale advantages of being large.

Despite the wide but ambiguous body of research on the performance gap between FFs and non-FFs, little is known about the role of FFs’ heterogeneity. This study has proven successful in detecting age as a factor in heterogeneity, specifically to explain the network effect on the link between ownership and TFP. Based on a representative sample, the study provides a solid framework for FFs, policymakers and academic research on family-owned companies.

The article aims at exploring the challenges and possibilities of cooperation of higher education in a Latin American social, political and cultural context that faces historical difficulties of integration, as well as the potential contribution of academic cooperation for global citizenship.

The paper presents a general overview of networks and international centers of academic cooperation of higher education in Latin America. The analysis comprises objectives, countries, stakeholders, activities, projects and scope. The study is based on literature on internationalization, regional integration and the development of higher education, as well as on empirical gathered with networks/centers and key actors in the field. This study was carried out as a mixed qualitative method design. Firstly, a systematic review of a literature corpus of studies produced by Latin-American scholars was performed. Semi-structured interviews were then carried out with a group of scholars who are members of networks.

The findings include a review of the role of higher education in a politically fragmented reality, a panorama of major networks and international centers of academic cooperation with emphasis on internationalization of higher education, as well as their connections. The are highlighted examples of successful initiatives of cooperation and, based on interviews, there is presented a preliminary view on cooperation and trust building from professionals in higher education in Latin America.

In the last decades, with the growing interest and need for internationalizing higher education, many universities have organized or joined networks and international centers. The article will contribute for mutual knowledge of these spaces, their shortcomings and potentials, thus creating conditions for dialogue among them, as well as with universities in other continents.

The circular economy (CE) has been endorsed as representing a model that is able to achieve environmental protection through decreased use of raw materials, together with changing economic values and social inclusion thanks to its demand for a wide variety of skill profiles. This has motivated many policy initiatives to support the implementation of the CE. The purpose of this study is to follow such policy initiatives in three geographically anchored industry-specific networks.

The study contributes to the research debate on the CE through a spatial approach with a focus on how the implementation of the CE is conditioned by spatial and regional contexts. The authors investigate three different networks in Sweden for CE with different locations and industrial profiles.

The findings reveal the difficulty that exist in relation to the implementation of the CE. The network and support functions in combination with private industry are vital. The risk of sustaining an uneven regional economic development is evident.

Although research on the development of the CE has proliferated, geographical approaches to this development are comparably rare to date. The authors seek to contextualise the strategy development and policy implementation of a CE policy.

This paper aims to investigate the reliability, availability, maintenance and safety analysis method for railway network operation.

The reliability of the railway network is proposed based on the accident frequency and the topology of the railway network. Network efficiency and capacity are proposed to evaluate the availability of the railway network. The maintenance of the railway network is analyzed from the perspective of accident recovery time. The safety index of the railway network is proposed to measure the safety of railway stations and sections and the K-means method is proposed to find the safety critical stations and sections. Finally, the effectiveness of the proposed method is illustrated through a real-world case study.

The case study shows that the proposed model can produce a big-picture averaged view of the network-wide safety level and help us identify the safety critical stations and sections by considering both the expected reduction of network efficiency and capacity.

The potential application of the proposed model is to help the safety managers determine the investments in safety management of each section and station and then increase the safety and robustness of railway network operation.

The safety analysis of the railway network should consider the reliability, availability and maintenance of the railway network. In this paper, the reliability of the railway network is proposed based on the accident frequency and the topology of the railway network. Network efficiency and capacity are proposed to evaluate the availability of the railway network. The maintenance of the railway network is analyzed from the perspective of recovery time. Finally, the safety index of the railway network is proposed to analyze the safety critical stations and sections.

Implementations of inter-organizational networks are common, following a growing diversity of cooperative modes between the independent companies associated in these networks.

Their scientific analysis has recently intensified, attention to network structures obviously including the study of the way their performance can be measured. Although academic research has mostly dealt with the performance of the network’s members, the concern of this article is rather with the performance of the global network.

Among the numerous forms of existing inter-organizational networks, maritime port communities are complex organizations which have to deal with operational synchronization, strategic cohesiveness and global performance measurement problems.

This article therefore mainly describes a port performance measurement system (PPMS): built in a predominantly empirical research context, the performance model and the associated measurement indicators illustrate the kind of network-level dedicated, performance control systems, on which port communities need to rely when designing their global strategy.

The purpose of this study is to address a significant gap in the understanding of entrepreneurship at the microfoundation level. It focuses on how individual entrepreneurs, specifically Hongbang entrepreneurs in China from 1896 to 1949, shape and transform their contexts. The aim is to provide a deeper understanding of the mechanisms that facilitate entrepreneurial success.

The study adopts a microhistorical approach, investigating the case of Hongbang entrepreneurs in China during 1896-1949. It involves an in-depth examination of historical records to explore the strategic interactions between these entrepreneurs and core stakeholders such as consumers, financial intermediaries, government regulators, and human resources. The research methodology emphasizes a process-oriented view, examining the evolution of personalized networks into extensive connections.

The research reveals that Hongbang entrepreneurs successfully reshaped their unfavorable embedded contexts by strategically collaborating with key stakeholders. They influenced consumer tastes, allied with financial intermediaries, negotiated with governments on regulation policies, and developed human resource stocks. The transformation was facilitated by the evolution of their networks from personalized to extensive connections. These findings highlight the localized strategies such as cronyism in resource acquisition within China’s private property development industry.

This study contributes to the field by offering insights into entrepreneurial contextualization and networking. It sheds light on the complex interplay between entrepreneurs and their contexts, providing a nuanced understanding of localized strategies in the Chinese context. The findings add value to the discourse on entrepreneurship by elucidating the strategic and processual acts through which entrepreneurs engage with stakeholders and reshape their environments.

Design-based research (DBR) involves multiple iterations, and innovations are needed in analytical methods for understanding how learners experience a learning experience in ways that both embrace the complexity of learning and allow for data-driven changes to the design of the learning experience between iterations. The purpose of this paper is to propose a method of crafting design moves in DBR using network analysis.

This paper introduces learning experience network analysis (LENA) to allow researchers to investigate the multiple interdependencies between aspects of learner experiences, and to craft design moves that leverage the relationships between struggles, what worked and experiences aligned with principles from theory.

The use of network analysis is a promising method of crafting data-driven design changes between iterations in DBR. The LENA process developed by the authors may serve as inspiration for other researchers to develop even more powerful methodological innovations.

LENA may provide design-based researchers with a new approach to analyzing learner experiences and crafting data-driven design moves in a way that honors the complexity of learning.

LENA may provide novice design-based researchers with a structured and easy-to-use method of crafting design moves informed by patterns emergent in the data.

To the best of the authors’ knowledge, this paper is the first to propose a method for using network analysis of qualitative learning experience data for DBR.