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Collaborative research and development have remained a pertinent mechanism for conducting technological innovations. With the lens of knowledge-based view (KBV), this study aims to examine the role of changes in knowledge couplings and network cohesion to elevate innovation performance.

Data analysis has been performed on 53,459 patents through regression analysis with random effects. These independent and joint patents are extracted from Derwent Innovation Database.

Findings explicate that change in external existing or existing and new knowledge couplings have inverted U-shaped effects on a firm’s innovation performance. Changes in internal existing or existing and new knowledge couplings have direct positive effects on firm’s innovation performance. The moderation effect of network cohesion flattens the inverted U-shaped effect of external new and existing knowledge coupling, whereas it has no significant effect on external existing knowledge coupling. Network cohesion further elevates the effects of internal knowledge couplings – existing or existing and new.

This study theoretically contributes to KBV and innovation management literature by highlighting the scope of changes in internal and external knowledge couplings and subsequent output. Network cohesion flattens the curviness of changes in external new and existing knowledge couplings, which is a contribution to strategic management literature.

Organizations need to carefully manage changes in knowledge couplings and ensure their benefits (obtain new knowledge domain or new combination) outweigh liabilities (damages to organizational routines or increase in collaboration costs). Managers must consider four kinds of knowledge coupling changes along with developing network cohesion as an R&D strategy.

This study is one of its types to flatten the curve through network cohesion. This study divided the changes in knowledge coupling into four types and two dimensions; external existing and new and existing knowledge couplings and internal existing and new and existing knowledge couplings.

In the planning and design processes, the urban territories frequently face problems related to the lack of cohesion, not only regarding the morphological fragmentation but also fragilities of social and economic dynamics. The proposed concept of urban cohesion involves these two dimensions – the physical form of the city and the city's socio-economic and socio-cultural dynamics. In introducing this concept our aim is to focus on the idea that public spaces play a fundamental role in those processes, understanding that they are organised in a systematic way. This means that public space is structured in a cohesive system on different territorial scales within the city, forming a "network of networks". Intending to contribute to the strengthening of urban cohesion, the study proposes a method capable of assessing public space networks in terms of their cohesion, not only within the urban structure of the neighbourhood, but also their links to the surrounding networks. This method assumes that the city is formed by diverse territories due to several reasons. Firstly, due to their specific history and genesis, secondly, due to their morphologic characteristics, and thirdly, because of their socio-economic and socio-cultural features. This leads to the key principle that the city is the place of diversity par excellence, and that it is this diversity that gives the city its own character and distinguishes it from other territories. Two cases in the city of Barcelona are analysed. The neighbourhood of Barceloneta, a historic quarter outside the city walls that is now part of its consolidated urban fabric, and the Baró de Viver neighbourhood, an area that can still be considered peripheral to the city.

In this paper, extending the research on the positive effects of marketing channel conflicts, this paper aims to examine how functional and dysfunctional conflicts influence channel innovation capability by triggering channel cohesion and investigate the moderating role of a distributor’s network structure.

Based on social network theory and Coser’s conflict theory, this paper develops a framework, tested using Chinese manufacturers’ data, which incorporated six key variables, namely, functional conflict, dysfunctional conflict, channel cohesion, channel innovation capability, network density and network centrality.

The empirical results revealed that functional conflict can arouse channel cohesion and that distributor network density and centrality positively moderates this relationship; dysfunctional conflict negatively affects channel cohesion, but distributor network density negatively moderates this relationship; channel cohesion had a mediating effect on the relationship between channel conflict and channel innovation capability.

This paper contributes to the research on channel conflict by incorporating the entire channel system’s innovation capability as a positive consequence of channel conflict and expands the channel conflict literature that adopts a network structure perspective.

Relational cohesion theory posits that relational cohesion helps build relationships among communication partners, implying that users would expect a growth in relations or making more friends in the future. However, little is known about expectancy of a better future state of relations, i.e. expectancy of relational growth, and its impact on users' continued engagement in online communication. Our study extends relational cohesion theory to explain how expectancy of relational growth impacts online gamer loyalty.

We test the framework using structural equation modeling to analyze a large sample of 1,429 responses from online gamers.

We find that expectancy of relational growth is positively related to norm compliance and relational cohesion, which are further related to network convergence and interdependence, fostering online gamer loyalty.

The findings contribute to relational cohesion theory by identifying novel sources of relational cohesion, i.e. expectancy of relational growth and norm compliance. Hence, game providers should create gamers' expectancy of growth in online relationships. Such expectancy could motivate continued gaming communication, even when gamers are not satisfied with the current state of online relationships. Moreover, we propose the new concept of expectancy of relational growth, which should have a strong impact on online communication in various areas.

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.

To explore the mechanism that shapes firms' supply chain learning (SCL) practices, this study examines the relationship between firms' knowledge network embeddedness and their SCL practice in a supply chain network, as well as the moderating role of supply chain network cohesion in this relationship.

Using patent application data and supply chain partner information from 869 listed firms between 2011 and 2020 in China, this study uses fixed-effect regression models to reduce endogeneity problems by controlling for individual heterogeneity effects that cannot be observed over time.

Firms' knowledge network embeddedness has an inverted U-shaped effect on their SCL, and this non-linear relationship is conditional on supply chain network cohesion, which strengthens (weakens) the positive (negative) effect of knowledge network embeddedness on SCL.

The findings show that managers can reconcile the downsides of knowledge network embeddedness on SCL by fostering greater supply chain network cohesion.

Drawing from the network pluralism perspective, this study contributes to supply chain literature by extending the research context of the antecedents of SCL from a single-network setting to a dual-network setting. It extends the network pluralism perspective by showing that not only positive effects but also negative effects of network embeddedness can transfer from one network to another.

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.

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.

The impact of network centrality on innovation performance is inconclusive. The purpose of this paper is to examine how formal and informal institutions affect the influence of network centrality on firms’ innovation performance in emerging economies by integrating social network theory and institutional theory.

Multisource and lagged data from 234 technology-based entrepreneurial firms listed on the Chinese Growth Enterprise Market were leveraged to test a proposed research model.

Results suggest that formal institutions (marketization) positively moderate the relationship between network centrality and innovation performance, whereas informal institutions (social cohesion) negatively moderate this relationship. Moreover, formal and informal institutions have a strong joint impact on such relationship, that is, the effect of network centrality on innovation performance is most positive when marketization is high and social cohesion is low.

This empirical research provides new insights into whether and how firms can grasp the innovation benefits of network centrality by exploring institutional contingencies. It further sheds on light the scope of the network centrality–innovation issue by extending its research context to Chinese entrepreneurial firms.

This article aims to introduce a two‐dimensional instrument for the measurement of the social capital of professions. On a general level, the social capital of a profession is defined as a source of power that allows a profession to further its goals and maintain its professional identity.

The measure is developed and tested by using data collected among Finnish dentists (N=1,302) in April 2012. The methods employed include confirmatory factor analysis (CFA), mean comparisons (ANOVA and t‐test) and OLS regression. Data analysis is guided by theories of social capital, especially the Putnamian tradition, and the literature on modern professions.

The first dimension of social capital is social cohesion, which consists of solidarity, trust, identification and commitment to professional ethical principles. The second dimension of social capital is network density, which includes both formal and informal professional networks. Social cohesion and network density are positively correlated. By conceptualizing social capital as an individual‐level attribute, this research shows that the employment of dentists across the public and private sectors increases the social capital of the profession.

Until now no tools have been available for the measurement of the social capital of professions. The article also sheds new light on the nature of modern professions, their associations and sources of power in contemporary societies.