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This study aims to explore the relationship between network position, various types of inter-organizational conflicts and project performance in the context of megaprojects.

Centrality and structural holes were used to represent network position. A theoretical model was developed, and a structured questionnaire survey was conducted with construction professionals involved in megaprojects. A total of 291 valid responses were obtained, which were analyzed via structural equation modeling.

The results showed that centrality negatively impacts project performance, while structural holes do not significantly impact project performance. Centrality negatively affects task conflicts, but positively affects process conflicts and relationship conflicts. Structural holes positively impact task conflicts, but negatively impact both process conflicts and relationship conflicts. Task conflict and relationship conflict exert constructive and destructive effects on project performance, respectively, while process conflict does not significantly impact project performance. Task conflict and relationship conflict play mediating roles. Task conflict weakens while relationship conflict strengthens the relationship between centrality and project performance. Task conflict strengthens while relationship conflict weakens the relationship between structure hole and project performance.

This study provides a reference for the implementation of network governance, inter-organizational conflict management and project performance management in megaprojects. However, the impact of dynamic changes of inter-organizational conflicts and network position on project performance has not been discussed in the context of megaprojects. Future research may explore the impact of dynamic changes of conflicts and network position on project implementation.

This study increases the current understanding of the impact of network position on project performance. Moreover, a new direction for network governance in the context of megaprojects is provided. This study also verified both the constructive and destructive effects of conflicts and the mediating role they play, thus supplementing the literature on inter-organizational conflict management in the construction field.

The authors selected global automobile manufacturing firms whose sales ranked within 100 in the five years from 2014 to 2018 in the Factiva database to examine how the characteristics of a firm's whole network and ego-network in a transnational coopetition network influence network performance.

The authors analyzed the public news of the sample firms about the coopetition by structural content analysis to build the coopetition networks and access to data on the competitive actions of firms. Then, to measure the variables associated with the coopetition network, such as the structural hole, centrality and ego-network stability, the authors use UCINET 6 that is a widely used piece of software for social network analysis to establishing five undirected binary adjacency matrices.

The authors find that a firm's competitive aggressiveness mediates the relationship between a firm's whole network position and network performance that emphasizes the need for integrating competitive dynamics research and coopetition research and shows how valuable insights can be gained through such integration. And the interaction of structural hole and centrality impacts competitive aggressiveness and network performance, and the interaction is different under high and low ego-network stability. The integration of whole network and ego-network literature studies provides new insights into firm network literature.

In the process of cooperation, firms should consider whether they can occupy the structural hole and center as important indicators for partner selection. Too stable relationship will prevent firms from obtaining new resources. Firms should weigh the period of cooperation according to specific situation.

These results indicate that ego-network stability, as an important complementary characteristic of coopetition network, has a significant synergistic effect with structural holes and centrality on competitive aggressiveness and network performance. And these findings expand the current literature on the relationship between characteristics of network, competitive aggressiveness and network performance.

This study investigates the impact of network positions on inter-team conflicts and project success in megaprojects.

Network position is measured with centrality and structural holes. Substantive conflict and affective conflict reflect inter-team conflicts. A questionnaire survey was implemented in Chinese megaprojects, and 309 valid questionnaires were collected. The data were analyzed using structural equation modeling and bootstrapping methods.

The results show that centrality negatively impacts project success, while the presence of a team in a structural hole has no significant impact on project success. Centrality is negatively related to substantive conflict and is positively related to affective conflict. The team in a structural hole has a positive effect on substantive conflict and a negative effect on affective conflict. Substantive conflict and affective conflict have positive and negative effects on project success, respectively. The effect of network position on project success is mediated by inter-team conflict.

This research provides a reference for megaproject managers to better conduct network governance, manage inter-team conflict, and successfully manage projects. The study did not investigate the effects of changes in teams' network positions on project success. Future research should explore this facet of megaprojects.

This research adds to existing research on network position, and reveals that project network governance is important for megaproject success. This provides a new direction for megaproject management. Furthermore, the results validate constructive and non-constructive roles and the mediating role of inter-team conflict. This complements the literature on conflict management, providing a reference for megaproject managers when managing inter-team conflict.

This paper aims to examine how the firm’s global coopetition network position impacts market share and to explore the multiple moderating effects of trade network strength and structures on the relationship between firm global coopetition network position and market share.

This paper selects global automobile manufacturing firms as samples whose classification is “Automobile” in the Factiva database from 2014 to 2018 and develops the measurement for global coopetition network and trade network by using Ucinet6. Finally, Stata was used for data analysis.

This paper finds that structural holes and centrality are beneficial to improve global market share. And the trade network strength and structures have positive multiple moderating effects on the relationship between the firm global coopetition network position and market share.

This paper explores industrial international competitiveness according to the intricate trade relations among countries and the impact of industrial international competitiveness on the relationship between global coopetition network position of brand firms and market share. The results of this paper expand the current literature on the relationship between characteristics of coopetition network and trade network.

The purpose of this paper is to investigate whether the manufacturer that occupies the central position in the triadic supply chain is capable of enhancing relationships within both dyads to produce the network rent and extra profit shared among all supply chain actors.

The paper opted for an exploratory study using a survey of triads forming supply chains. To reveal the capability of yielding the network rent in the examined triads, multiple regression analysis with Interaction effects was used. Having confirmed the existence of supernormal profit, the partial least square path model was developed to investigate the effects of manufacturer structural embeddedness on relational embeddedness and the resulting impact on the network rent.

The obtained findings show that manufacturer structural embeddedness has a direct and positive effect on relational embeddedness and relational embeddedness of two dyads (represented as a higher order factor) has a direct and positive effect on the network rent. In addition, relational embeddedness mediates the positive relationship between manufacturer structural embeddedness and network rent, as the null model with no mediation appears to underestimate the direct and positive effect between manufacturer structural embeddedness and the network rent.

The study makes three key contributions. First, it extends the application of both relational and structural embeddedness to grasp the network architecture of the triadic supply chain. Second, the concept of manufacturer structural embeddedness is used to elaborate on the role of the manufacturer in establishing relationships of high quality with the supplier and the customer. In connection to the previous point, the calculated network rent demonstrates that establishing collaborative relationships in triadic supply chains may bring a significant supernormal profit, derived as the outcome of mutual interplay between the relational performances of two dyads.

The study shows that manufacturers intending to use their central position to develop collaborative relationships with both partners, and the supplier and the customer, ought to appreciate the role of social ties embedded in interorganizational networks. The paper also implies that in parallel with using formal contracts as a governance mechanism, the manufacturer centrally positioned in the triadic supply chains ought to deliberately shape relational embeddedness of both dyads. Finally, managers can consider the ways to enhance relational embeddedness in a triad by improving relational embeddedness of a certain dyad.

This study provides a novel framework for studying two basic dimensions of embeddedness (structural and relational) and their impact on the network rent in triadic supply chains that goes beyond the dyadic perspective and incorporates the extended supply chain.

This paper aims to attempt to explore the influence of network position on innovation performance, specifically for companies from a less-developed area in China.

The paper uses a social network analysis method based on the data of high and new tech companies from Jiangxi province, China. It relies on Ucinet 6.212 software for data processing.

The present work, on the one hand, reveals that a high and new tech company from Jiangxi province tends to achieve better innovation performances if it is in the central position of its social network. On the other hand, it indicates that the same type of company from the same area does not always accomplish better innovation performance, even it possesses more structural holes.

The conclusions of this paper suggest that a high and new tech company from a less-developed area in China should build up its position closer to the center when constructing a social network. Meanwhile, the company should also exert more effort into managing its networks, as only building structural holes offers little help with operations besides showing that it has a broad social network.

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.

Social network theory can help management scholars to understand how the pattern of social ties between employees can lead to unpredictable consequences. Sometimes people occupying lower positions in organizations, like junior‐level secretaries, can be quite powerful and effective. Such consequences appear to be related to their status in the social networks they operate. The aim of this paper is to determine the level of the relationship between the network status and power of junior‐level office secretaries.

Two different methodological approaches were used to test the basic claims of this study. First, social network analysis was applied to network data gathered from 80 employees working in six academic departments and four administrative units, and then qualitative research techniques were used to explain the findings of the study. Interviews were carried out with 35 academicians.

The findings suggest that the secretaries have strong positions in terms of brokerage and network centrality. The results of interviews indicate that they use their social connections between academic and administrative departments to create various kinds of dependencies.

This research shows that secretaries may have high power potential in organizations, and those who are aware of their strong positions in a social network can use this for their self‐interests.

Social network theory and methodology have never been used to determine and explain the critical role of secretaries in organizations in the management literature. This study may give management scholars further ideas to explain how some organizational positions can provide advantage to the focal actors to construct social ties in organizations.

Supply chain fraud is a significant global concern for firms, consumers and governments. Evidence of major fraud events suggests the role of supply chain structures in enabling and facilitating fraud, as they often involve several parties in complicated networks designed to obfuscate the fraud. This paper identifies how the structural characteristics of supply chains can play an important role in enabling, facilitating and preventing fraud.

The research follows a theory elaboration approach. The authors build on structural holes theory in conjunction with a multiple case study research design to identify new concepts and develop propositions regarding the role of network structure on supply chain fraud.

This research shows how structural holes in a supply chain can create advantages for unscrupulous firms, a role we call tertius fraudans, or the cheating third. This situation is exacerbated by structural ignorance, which refers to the lack of knowledge about structural connections in the network. Both structural holes and structural ignorance can create information gaps that facilitate fraud, and the authors propose solutions to detect and prevent this kind of fraud.

This paper extends structural holes theory into the domain of fraud. Novel concepts including tertius fraudans, structural ignorance and bridge collapse are offered, alongside a series of propositions that can help understand and manage structural supply chain fraud.

Although collaborative research is believed to be an important means of accessing external knowledge, research on whether taking a strategic network position benefits new product development (NPD) is inconclusive. This study aims to unravel the conditions under which taking a strategic position within a collaborative research network is conducive for a firm’s NPD.

Drawing on social network theory, absorptive capacity theory and knowledge recombinant studies, this study examines how strategic network positions (i.e. degree centrality and structural holes) and knowledge base cohesion (i.e. local and global cohesion) in tandem affect a firm’s NPD. A panel data set of 366 firms in the Chinese automobile sector (2002–2010) is empirically analyzed, using the panel negative binomial approach with random effects and several alternate estimation approaches.

This study reveals that, rather than the volume of a firm’s knowledge base, its cohesion determines how it absorbs and uses knowledge accrued from collaborative research for NPD. Specifically, this paper finds that centrally positioned firms have greater NPD when their knowledge bases are locally cohesive, while firms spanning structural holes have more NPD when their knowledge bases are globally cohesive.

Successfully transferring collaborative research outcomes into product innovation is difficult. This study contributes to the literature on strategic network positions and NPD. The findings advance the understanding of knowledge base cohesion’s moderating role in explaining how firms absorb and exploit external knowledge for internal innovation. The findings also have important implications for managers who wish to promote product innovation by engaging in collaborative research with external partners.