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Previous studies have addressed the importance of knowledge base and its effect on innovation outputs. However, few studies have focused on the antecedents of dynamic changes of the organizational knowledge base. This study aims to shed light on the antecedents of dynamic change of the organizational knowledge base by examining how network centrality in an organization's collaboration network impacts this change and the moderating role of knowledge network cohesion.

The empirical setting of this study is the smartphone collaboration network. The authors selected patent data from the Derwent Innovation Database. A negative binomial model was used to test the hypotheses.

The results verified that network centrality has a positive effect on the change in coupling among existing knowledge domains and has an inverted U-shaped relationship with the coupling between new and existing knowledge domains. Furthermore, when local cohesion is high, network centrality has a stronger positive effect on the change in coupling among existing knowledge domains. Global cohesion moderates this process in such a way that when it is at a high level, the coupling between new and existing knowledge domains can benefit more from a moderate level of network centrality.

This study sheds light on the antecedents of dynamic change of the organizational knowledge base and links the literature on collaboration and knowledge networks by providing novel insights to match collaboration network centrality with knowledge network cohesion for successful improvement of the organizational knowledge base.

This paper aims to explore what factors influence the possibility of internal and external risk propagation in R&D networks and investigate how government intervention moderates the associations between the influencing factors and risk propagation.

The authors divided government intervention into directive and facilitative intervention and adopted an empirical research approach in this study. They collected 228 questionnaires from managers and R&D personnel participating in R&D projects in Shanghai and Jiangsu province through e-mail and in person. The data were used to carry out multiple regression analysis to test hypotheses.

The results show that the probability and consequence of risks positively affect the possibility of internal and external risk propagation; risk perception and transformation ability negatively influence the possibility of internal and external risk propagation; both directive and facilitative intervention weaken the relationship between the probability of risks and internal risk propagation when they are high than low the association between transformation ability and internal risk propagation is weaker when directive intervention is high than low, whereas facilitative intervention presents the insignificant moderation effect on the relationships between risk perception ability and internal and external risk propagation.

This study provides a distinctive theoretical perspective for risk conduction theory, government intervention theory and risk management. It also offered managers and the government a clear understanding of how to reduce or avoid risk propagation by leveraging directive and facilitative government intervention.

Previous studies examined the effect of inter-organizational collaboration relationships on organizational innovation. However, most focused on the configuration of the network from the static network perspective, and few examined the influence of network structure stability on an organization's exploratory innovation from the ego-network perspective. This study addresses this research gap by focusing on ego-network stability and its effect on an organization's exploratory innovation.

The empirical setting is the smartphone collaboration network from 2004 to 2017. We selected one-site schemes and panel data of patents from the Derwent Innovation Database. A negative binomial model with fixed effects was used to test our hypotheses.

The regression results show that an organization's ego-network stability has an inverted-U-shaped relationship with its exploratory innovation. Global cohesion of the focal organization's knowledge network moderates the process in such a way that when it is at a high level, an organization's exploratory innovation can benefit more from a moderate level of ego-network stability. However, local cohesion moderates in such a way that, at a low level, an organization's exploratory innovation can benefit more from a moderate level of ego-network stability.

This study highlights the importance of ego-network stability and its effect on the focal organization's exploratory innovation. It contributes to the literature on the relationship between ego-network stability and exploratory innovation by investigating the moderating role of global cohesion and local cohesion in knowledge networks.

The purpose of this study is to enhance the comprehensive understanding of the roles of resource investments, explicit contracts and three components of guanxi (i.e. renqing, ganqing and mianzi) in asymmetric research and development (R&D) partnerships. Treating dependence asymmetry as a multidimensional construct, this study examines the moderating effects of these elements on the relationships between resources and information asymmetry and opportunism.

The study was executed by issuing questionnaires to R&D managers participating in R&D projects and collaborations in the Shanghai and Jiangsu provinces via e-mail and face to face surveys. A multiple regression analysis was used to test the hypotheses.

The empirical test generally supported the conceptual model and produced the following findings: first, resources and information asymmetry significantly and positively affect opportunism. Second, the partner’s resource investments can weaken the effect of resources and information asymmetry on the partner’s opportunism. Third, explicit contracts can reduce the impact of information asymmetry on the partner’s opportunism. Fourth, renqing and ganqing but not mianzi can weaken the influence of information asymmetry on the partner’s opportunism.

This study provides a comprehensive and clear understanding of how opportunism can be curbed by jointly considering resource investments, explicit contracts and guanxi in asymmetric R&D cooperative relationships. Moreover, dependence asymmetry and guanxi are measured as a multidimensional construct and reveal their underlying structure, which expands previous understandings of risk management in R&D collaborations.

The purpose of this paper is to investigate the influence of two dimensions of relational risks, namely, opportunism behavior and interest conflict, on knowledge flow and to explore the moderating effect of network power among these untested relationships and to examine the positive effect of opportunism behavior and interest conflict.

This paper adopts survey data collected from 180 enterprises in China's high-technology industry and examines the relationship between relational risks, network power and knowledge flow.

This research empirically shows that opportunism behavior and interest conflict significantly and negatively impact on knowledge flow. Those relationships are positively moderated by network power.

To be more generalized to the high-technology industry, future research should adopt the quantitative research, which can obtain more comprehensive information to explore the nature of phenomenon. The future research can also combine with other variables. In addition, this research extends the current literature by investigating the relationship of so far understudied theorized antecedents.

This research enriches the related network perspective literature by providing new insight combining relational risks and knowledge flow. Especially, the moderating effect of network power is empirically examined.

Previous research has analyzed the consequence of network stability; however, little is known about how partner type diversity influence network stability in R&D network. Based on knowledge-based view and social network theory, the purpose of this paper is to unravel the internal mechanisms between partner type diversity and network stability through the mediating role of knowledge recombination in R&D network.

The authors collected an unbalanced panel patent data set from information communication technology industry for the period 1994–2016. Then, the authors tested the different dimensions of partner type variety and its relevance in the R&D network and the mediating role of knowledge recombination through adopting the multiple linear regression.

Results indicate an inverted U-shaped relationship between partner type diversity (variety and relevance) and network stability, whereas knowledge recombination partially mediate these relationships.

From the perspective of R&D networks, this paper explores that there are the under-researched phenomena the antecedent of network stability through nodal attributes (i.e. partner type variety and partner type relevance). Moreover, this paper empirically examined the mediating role of knowledge recombination in the partner type diversity–network stability relationships. The novel perspective allows focal firm to recognize importance of nodal attributes, which are critical to fully excavate the potential capabilities of cooperating partners in R&D 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.

The purpose of this paper is twofold: first, to explore how the number of structural holes influences the possibility of risk propagation in R&D networks; and second, to investigate how the specific context of tie strength and common cognition moderate the association between structural holes and risk propagation.

This study focuses on how structural holes influence risk propagation under the specific context of relationship and cognitive dimension by drawing on social capital theory. Risk sharing and risk perception as mediating variables are employed in the proposed conceptual model. The authors issued questionnaires to managers and R&D personnel participating in R&D projects and collaboration in Shanghai and Jiangsu province through e-mail and face to face. The data were used to carry out multiple regression analysis to test hypotheses.

The results show that relationship between structural holes and risk propagation of R&D network is U-shaped. Risk perception and risk sharing partially mediate the relationship between structural holes and risk propagation. Tie strength significantly moderates the relationship between structural holes and risk sharing, but insignificantly moderates the association between structural holes and risk perception. Common cognition significantly moderates the associations between structural holes and risk sharing, and structural holes and risk perception, respectively.

This study provides a distinctive theoretical perspective for social capital and risk management. It also offers managers a clear understanding of how to reduce or to avoid risk propagation by jointly leveraging the number of structural holes, tie strength and common cognition.

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.

Sedimentary facies type of the Shanxi Formation in northeastern Ordos Basin is an ongoing debate. Based on field measurements, sample collection and identification, and laboratory analysis, we systematically evaluated the sedimentary characteristics of the sandstone bodies of Shanxi Formation of Chengjiazhuang section in Liulin. Analysis included identifying sample composition, grain size, texture, sedimentary structure and spatial distribution. We came to the conclusion that the sedimentary environment of Shanxi Formation is deltaic. This deltaic environment included deltaic front and deltaic plain. It can be further divided into five sedimentary microfacies: subfluvial distributary channel, subfluvial distributary interchannel, distributary channel, levee, and peat bog. And lastly, the evolution of sedimentary environment of Shanxi Formation is discussed.