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This research examines how knowledge and information are managed within two care networks. We develop a conceptual framework drawing on the notion of brokering and the 3T framework, which is used to describe the relative complexity of boundaries (referred to in the framework as syntactic, semantic and pragmatic) as well as capabilities and processes required to exchange information within the network. Previous research on brokering has focused on healthcare managers and professionals, but this research extends to patients and caregivers. Understanding knowledge exchange and brokering practices in healthcare is critical to the delivery of effective services.

For this case research, non-participant observation and experienced-based interviews were undertaken with healthcare professionals, patients and caregivers within two care networks.

The findings reveal brokering roles occupied by healthcare professionals, patients and caregivers support the transfer, translation and transformation of knowledge and information across functional and organisational boundaries. Enablers and disablers to brokering and the exchange of knowledge and information are also identified.

The study is limited to two care networks for long-term conditions within the UK. Further research opportunities exist to examine similar care networks that extend across professional and organisational boundaries.

This research informs healthcare professionals of the brokering capabilities that occur within networks and the enabling and disabling factors to managing knowledge across boundaries.

This paper provides a conceptual framework that categorises how increased levels of knowledge and information exchange and brokering practices are managed within care networks.

Research on business networks in organisationally thin regions, which are characterised by a low density and quality of business networks, is still in its infancy, while the facilitation of business networks receives increasing interest. The present paper combines both perspectives by investigating how different types of network brokers facilitate business networking and knowledge-sharing in organisationally thin regions.

Burt's theory on brokers in social networks is applied to knowledge-sharing in business networks for organisational thinness as context. A qualitative case study represents the empirical basis that describes network brokers from various domains in three different German case regions, which are characterised by organisational thinness.

The network brokers studied facilitate different types of business networks, and they use various levers to increase knowledge-sharing among companies in business networks. Two broker types emerge, private business-driven versus public policy-driven network brokers with distinct approaches to the facilitation of business networking and knowledge-sharing and different limitations due to organisational thinness.

Companies, notably SMEs, in contexts characterised by low networking density and quality may benefit from various types of network brokers that foster business networking and instigate knowledge exchange. Public policy should embed activities of private brokers in existing SME assistance programmes to increase the quantity and quality of business networks.

Network facilitation in regions with weaknesses in their endowment with industry clusters, business networks and innovative knowledge exchange is under-explored, and this paper contributes to shedding light on this topic with a case study.

In contrast to the vertical supply chain structure, firms are increasingly engaging in horizontal inter-firm collaborations to develop new technologies, products and services, yet, little is known about factors that influence the governance mechanism and performance of such collaborative projects. The purpose of this paper is to investigate how different factors affect the role or the centrality of the governing mechanism (the broker) in inter-firm collaborative networks.

Using a case study method approach, this paper studies three dynamic networks comprising firms that are not in a traditional supply chain relationship. The networks comprised firms engaged in the development of different aspects of an innovative automotive technology.

The study finds that broker’s centrality varies over time and is directly related to project performance; network structure and perceived broker power are related to broker centrality in dynamic networks. The more loosely connected a network is (open network), the more the degree of broker centrality. The higher the degree of expert power that a broker is perceived to possess, the higher is the degree of broker centrality.

Investigating governance mechanism and determinants of network outcomes in inter-firm collaboration for new product development represents a departure from the traditional studies on similar phenomena in vertically structured supply chain arrangements; thus, contributes to the literature on innovation in inter-firm arrangements. Understanding how the salient factors contribute to performance at the network level builds on firm level and dyadic level of analysis or focus of previous studies.

Under given environmental uncertainties, the purpose of this paper is to examine the effect of brokers on the networking behaviour of small- and medium-sized enterprise (SMEs) and the subsequent impact on the performance of SMEs. The following five different types of brokers were tested, namely, coordinator, representative, cosmopolitan, liaison and gatekeeper brokers.

Data were collected through an online survey and analyzed by using the hierarchical regression method.

The results from the hierarchical regression analysis of 198 Czech firms showed that coordinator and representative brokers moderate the relationship between environmental uncertainty and networking behaviour. However, under high environmental uncertainty, the coordinator broker worked best, whereas in the host country, under low environmental uncertainty, the representative broker worked best.

The findings of this study have useful implications for SMEs in selecting an appropriate broker for strengthening their networking behaviour in the international market. This study aimed to explore the effectiveness of various types of brokers on networking behaviour during their internationalization of SMEs. More specifically, this study examined if and how, given the uncertainties in the international market, multiple brokers help SME executives develop networking behaviour.

The purpose of this paper is two-fold: (1) to offer a conceptual understanding of knowledge brokering from a sociometric point-of-view; and (2) to provide an empirical example of this conceptualization in an education context.

We use social network theory and analysis tools to explore knowledge exchange patterns among a group of teachers, instructional coaches and administrators who are collectively seeking to build increased capacity for effective mathematics instruction. We propose the concept of network activity to measure direct and indirect knowledge brokerage through the use of degree and betweenness centrality measures. Further, we propose network utility—measured by tie multiplexity—as a second key component of effective knowledge brokering.

Our findings suggest significant increases in both direct and indirect knowledge brokering activity across the network over time. Teachers, in particular, emerge as key knowledge brokers within this networked learning community. Importantly, there is also an increase in the number of resources exchanged through network relationships over time; the most active knowledge brokers in this social ecosystem are those individuals who are exchanging multiple forms of knowledge.

This study focuses on knowledge brokering as it presents itself in the relational patterns among educators within a social ecosystem. While it could be that formal organizational roles may encapsulate knowledge brokering across physical structures with an education system (e.g. between schools and central offices), these individuals are not necessarily the people who are most effectively brokering knowledge across actors within the broader social network.

Cooperative relationships between actors located in the same geographical area that are economically independent and culturally distinct are the heart of functioning innovation clusters. This can slow down the creation of common innovation projects, particularly in French innovation clusters where cooperation is influenced by the governmental financing devoted to this system. This research focuses on knowledge brokering activities implemented in this inter-organizational context, showing how they cross knowledge boundaries, structure cooperative dynamics and participate in common strategy-making. The mobilization of the strategy as practice theory allows for an in-depth analysis, shedding light on various practices, resources and practitioners related to the brokering activities taking place within an innovation cluster in Paris. Findings show a widespread development of brokering activities that emerges from cluster governance unit to its networks according to a reflexive relationship progressive structured over time.

This research is based on a longitudinal exploratory analysis of the Parisian cluster Advancity. To capture its organizational dynamics, two databases of the cluster (focused on innovation projects and integration of members), 24 power point files presented to negotiate strategy and 13 interviews with managers and members of the cluster were used. The whole data was triangulated and generated categories of data that can be compared with the concepts of the literature on innovation clusters (governance), brokering activities (knowledge access, learning, networking and implementation) and strategy-making (recursive process and adaptation of the strategy).

The analysis shows the effects of each type of brokering activities on strategy-making across knowledge and organizational boundaries. The practices of implementation activity initially absent from the cluster become, in its mature phase, one of the central activities. Moreover, all the brokering activities are initially handled by the managers of the cluster and progressively are extended to their members, then becoming a widespread activity within the internal networks. The maturation of these practices goes together with the maturation of its own cluster. The practice of experimentation particularly affects brokering activities and produces learning and networking effects within the cluster.

From a managerial point of view, considering the organization of the clusters as a constellation of communities of practice (Wenger, 1998) emphasizes that the knowledge brokerage activities can be extended and delayed within each community that makes up the organization. A top-down approach could therefore suffocate the network. It would be interesting to develop this research approach in future work and complete this research by reinforcing microscopic analysis enabled, for example, by tracking a small number of innovation projects during their lifecycle.

The empirical foundation proposed in this research strengthens the scientific nature of the theory of the activity that is itself integrated in the perspective of the practice (Seidl et al., 2006). The multilevel approach and wealth of the mobilized and analysed empirical data allowed making more visible how a social activity builds itself, develops and creates aperture effects on the strategy driven by innovation at the intersection of different boundaries.

The results of this research provide a theoretical contribution in that they allow to revisit the classification of the activities of a knowledge broker (Hargadon 1998, 2005) in a new organizational context representative of the knowledge-based innovation (Amin and Cohendet, 2004). They are also contributing to the current emerging from the knowledge-based view of clusters (Bahlmann and Huysman, 2008; Arikan, 2009) by mobilizing the theory of the practice (Whittington, 2006; Jarzabkowski, 2005). This perspective helps to discern a particular form of strategy-making within the clusters.

We argue for a broadened approach to brokerage by distinguishing between brokerage emphasizing a particular structural pattern in which two otherwise disconnected alters are connected through a third party (“brokerage structure”) and the social behavior of third parties (“brokerage process”). We explore a processual view of brokerage by examining three fundamental strategic orientations toward brokerage: conduit, tertius gaudens, and tertius iungens that occur in many different forms and combinations. This processual view is especially relevant in increasingly complex and dynamic environments where brokerage behavior is highly varied, intense, and purposeful, and has theoretical implications for studying multiplexity, heterogeneity, and brokerage intensity.

The purpose of this paper is to introduce and investigate social brokers who belong to and connect multiple groups in a social network. This paper also reveals the differential effects of innovative and following social brokers on content diffusion in terms of adoption timing, speed and size.

The paper collected field data related to 69,086 users on the largest social network platform in China and analysed their adoption behaviours of 2,492 pieces of content.

The analysis reveals that social brokers encourage content diffusion and accelerate the speed of content adoption in a social network. Specifically, following social brokers play a greater role than innovative social brokers in accelerating the speed of content adoption and expanding the size of content adoption. However, in the early stage of content diffusion within the social network, innovative social brokers could predict the success of content adoption more effectively than following social brokers.

This research extends the current diffusion literature by introducing the social broker and examining the effect of social brokers on the process of content adoption.

The findings provide suggestions to marketing managers on how to improve the diffusion of marketing-related content, such as by seeding specific people – that is, social brokers – with content, so they can serve as content transmitters in marketing campaigns. In addition, the findings suggest that to optimise content adoption in a social network, managers should strategically target innovative social brokers or following social brokers at various stages of content seeding-based marketing campaigns.

To the best of the authors’ knowledge, this research is the first to test the effects of social brokers on content adoption and identify innovative and following social brokers. The findings enrich the literature on content marketing by providing new perspectives on social structures in social networks.

The decoupling and asynchrony properties of the content‐based publish‐subscribe paradigm makes it very appealing for dynamic wireless networks, like those that often occur in pervasive computing scenarios. Unfortunately, most of the currently available content‐based publish‐subscribe middleware do not fit the requirements of such extreme scenarios, in which the network is subject to very frequent topological reconfigurations due to mobility of nodes. In this paper we propose a protocol for content‐based message dissemination tailored to Mobile Ad Hoc Networks (MANETs) showing frequent topological changes. Message routing occurs without the support of any network‐wide dispatching infrastructure thus eliminating the need of maintaining such infrastructure on top of a physical network continuously changing its topology. The paper reports an extensive simulation study that confirms the suitability of the proposed approach along with a stochastic analysis of the central mechanism adopted by the protocol.

In the late 1980s, the Danish Technological Institute received funding to determine whether structured networking might offer a concept for promoting survival and growth among small‐ and medium‐sized enterprises (SMEs). To overcome the frequent absence of a large firm‐type hub in the SME sector, the Institute evolved a five‐phase model in which an independent individual external to the potential network assumes the role of broker and is responsible for guiding an inter‐firm co‐operation process. Observation of a pilot initiative in the UK determined that the most critical event within the process model is the identification of a viable idea which can provide the basis for forming a new business network. A study to gain further understanding of the nature of any process gap within the methodology, which brokers have been advised to utilize, indicated that the technique of unstructured, open‐ended interviewing to gain an understanding of factors influencing the performance of firms is often not very effective. Details are provided here of a new, more structured audit tool. A preliminary qualitative evaluation of the new technique indicated this has significant potential for assisting the broker to rapidly identify a viable idea which can provide the basis for forming a new business network.