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This study seeks to provide an examination of a health policy network operating in a single, small community along the US‐Mexican border. The purpose of the paper is to discuss why and how this network evolved, and then to present findings on how the network was structured. Analysis will focus especially on agency involvement, or “embeddedness” in the network, and its relationship to attitudes held by network members regarding trust, reputation, and perceived benefit.

Data were collected from 15 public and nonprofit agencies trying to work collaboratively to influence local policy and services regarding the prevention of obesity‐related chronic disease, especially diabetes. Embeddedness was measured in three different ways and both confirmed and unconfirmed networks were assessed. Network analysis methods were utilized as well as nonparametric correlation statistics.

The network was found to be densely connected through unconfirmed linkages, but much less so when these links were confirmed. Strongest findings were found for shared information. Measures of agency embeddedness in the network were strong predictors of agency reputation, but findings for trust and perceived benefit were generally weak.

From a practice perspective, the study points to the problems in building and sustaining community‐based chronic disease health networks, especially in a small community with substantial health needs. The research also contributes to theory on embeddedness and to methodology for collecting and analyzing data on community health networks.

The motivation for this investigation is to apply social networking features to a semantic network portal, which supports the efforts in enterprise training units to up‐skill the employee in the company, and facilitates the creation and reuse of knowledge in online communities.

The paper provides an overview of an emerging area for work‐related research in the field of knowledge management and collaborative online communities.

The growing number of social network online communities requires a systematic assessment of the application and design of social network technologies, which makes this study relevant and timely.

This paper gives guidance in an emerging research area with major implications for online communities and human resources management.

Fulfils a need, since a lack of literature in the field is apparent.

To produce rapid innovation, Japanese companies have learned to manage strategic communities for new product development. These communities require the merging and integration of different technologies and the coordination of relationships among all levels of management, alliance partners, and customers.

Through case studies of two Japanese companies, the author examines the successful new product development process practised by these strategic communities and their networks.

As the cases reveal, strategic teams at each company – consisting mainly of cross‐functional middle managers from a number of business divisions – formed strategic communities inside and outside the companies that included customers, and then formed networks that transcended the strategic communities' boundaries. In record time, strategic community leaders enabled companies to build new business models aimed at customers and then achieve successful new product development.

Two case studies are reported on. The author was directly involved in one of them.

As this research indicates, to successfully innovate, companies may need to form strategic communities that are not tied to existing organizational structures or cultures. Superior core technology in the leading‐edge high‐tech fields of IT and e‐commerce continues to spread throughout the world and undergo dramatic changes. Innovative companies that need to establish competitive advantage in the network economy must not try to retain full control over innovative processes under the conditions of conventional hierarchical mechanisms and closed autonomous systems. In other words, companies will from now on probably increasingly require a management that can use networked strategic communities to synthesize superior knowledge that is open and spread out both inside and outside the organization, including customers.

Companies will from now on probably increasingly require a management that can use networked strategic communities to synthesize superior knowledge that is open and spread out both inside and outside the organization, including customers.

This paper aims to integrate the consumption perspective within the Industrial Marketing and Purchasing (IMP) debate. The study delves into how consumer communities can be conceived like other network business actors. The perspective of sustainable new ventures (SNVs) in the fashion industry is adopted, considering their specific connection with consumer communities.

Adopting a multiple case study methodology, this paper uses a qualitative approach. Data collection mainly relies on interviews conducted with 10 SNVs in the fashion industry; this sector is a fertile ground for studying sustainability and consumer communities. For data analysis, the abductive approach of systematic combining is applied.

The paper identifies four distinct types of consumer communities and four roles that they can assume as business actors in the business network. Owing to their engagement in these specific roles, consumer communities become part of the SNVs’ network, akin to other business-to-business players.

This study represents one of the initial endeavors to introduce consumption into the IMP theoretical framework. In this paper’s conceptualization, consumer communities are groups of consumers and collective actors in the business network. Additionally, this study advances the research on sustainability as a network concept by including consumer communities’ roles in business networks.

Community rail is a grassroots movement that spans Britain, made up of hundreds of community groups and partnerships that engage people with their railways and stations and provide a bridge between the rail industry and the public at a local level. The movement has grown up from the grassroots, but it has also been increasingly supported and nurtured by the rail industry, with train operators proactively encouraging its spread and development. They, and national and devolved governments, recognise the value of community rail, and its contribution to social inclusion, sustainable development and the railway’s ability to prosper and serve passengers and communities well, now and in the future. This idea is supported by passenger data showing that railway lines with community rail partnerships – working to enhance, promote and aid access to those lines – outperform comparable lines. A swathe of qualitative evidence shows community rail partnerships and station groups having a demonstrable impact on their localities and people’s lives, and appreciation of this role by industry leaders. The many examples of community rail volunteers and practitioners bringing about positive change resonate with academic research exploring how civic engagement and local efficacy and communications can support change, particularly with regard to sustainable behaviours and development. A range of researchers argue that localised, interactive engagement and communications may be the key, when it comes to bringing about the major shifts in behaviour needed to address the global, existential threat posed by the climate crisis, which unsustainable behaviours and policies have brought about. In this way, evidence suggests that engaging communities with their railways, and local transport networks generally, is critical, both to these networks operating in a truly sustainable manner and to achieving inter- and intra-generational equity within the communities they serve.

This paper aims that privacy research is divided in distinct communities and rarely considered as a singular field, harming its disciplinary identity. The authors collected 119.810 publications and over 3 million references to perform a bibliometric domain analysis as a quantitative approach to uncover the structures within the privacy research field.

The bibliometric domain analysis consists of a combined directed network and topic model of published privacy research. The network contains 83,159 publications and 462,633 internal references. A Latent Dirichlet allocation (LDA) topic model from the same dataset offers an additional lens on structure by classifying each publication on 36 topics with the network data. The combined outcomes of these methods are used to investigate the structural position and topical make-up of the privacy research communities.

The authors identified the research communities as well as categorised their structural positioning. Four communities form the core of privacy research: individual privacy and law, cloud computing, location data and privacy-preserving data publishing. The latter is a macro-community of data mining, anonymity metrics and differential privacy. Surrounding the core are applied communities. Further removed are communities with little influence, most notably the medical communities that make up 14.4% of the network. The topic model shows system design as a potentially latent community. Noteworthy is the absence of a centralised body of knowledge on organisational privacy management.

This is the first in-depth, quantitative mapping study of all privacy research.

To enhance an entrepreneur's business network through the integration of the social network concepts and design principles of virtual communities.

This study documents the design and initial deployment of a virtual community case, Innovation Information Infrastructure, based on social network concepts.

Basic design principles, deployment strategy, and future directions for social network‐based virtual communities are presented.

Because of resource and time constraints, only basic content service, communication tools, and transaction functions were implemented in the initial deployment. Future extensions of this study may include development of a personalized and intelligent information retrieval system utilizing data mining techniques, development of advanced communication features to promote active participation, and creation of automatic social network‐tracking tools to monitor an individual's network evolution.

Sample designs are provided for researchers who are interested in conducting a similar study.

This study serves as a starting‐point for how theories from social network and virtual community research streams can be applied in creating a virtual community that facilitates transformation of knowledge into products and services, which in turn lead to greater economic prosperity.

The purpose of this paper is to discuss the support network organisations between local government, non‐government organisations (NGOs) and community groups in post‐disaster management.

The paper takes the form of an exploratory case study which concentrates on the Bantul district, Indonesia. The Bantul local government, located in Yogyakarta Provincial Indonesia, was selected as a case study because it had experience in managing post‐disaster conditions after the 2006 earthquake. Data were gathered through in‐depth interviews with 40 key informants with knowledge about the case.

The research revealed that this local government has made significant achievements in managing network organisations for logistic and humanitarian aid implementation. Inter‐organisational networks, citizen‐to‐organisation networks and organisation‐to‐citizen networks have become prominent resources for local government in managing a disaster because they address the lack of local government capability through negotiated efforts or partnership with other government levels, social institutions, non‐profit sector organisations and the community, in order to mobilize and utilize available capacity effectively.

This paper presents lessons learnt from local government in organising the support network for logistic and humanitarian aid to respond to disasters.

Based on the data obtained from a questionnaire of 595 people, the authors explore the relative importance of consumers, checking whether socioeconomic variables influence their centrality, detecting the communities within the network to which they belong, identifying consumption patterns and checking whether there is any relationship between co-marketing and consumer choices.

A multilayer network is created from data collected through a consumer survey to identify customers’ choices in seven different markets. The authors focus the analysis on a smaller kinship and cohabitation network and apply the LART network community detection algorithm. To verify the association between consumers’ centrality and variables related to their respective socioeconomic profile, the authors develop an econometric model to measure their impact on consumer’s degree centrality.

Based on 595 responses analysing individual consumers, the authors find out which consumers invest and which variables influence consumers’ centrality. Using a smaller sample of 70 consumers for whom they know kinship and cohabitation relationships, the authors detect communities with the same consumption patterns and verify that this may be an adequate way to establish co-marketing strategies.

Network analysis has become a widely used technique in the extraction of knowledge on consumers. This paper’s main (and novel) contribution lies in providing a greater understanding on how multilayer networks represent hidden databases with potential knowledge to be considered in business decisions. Centrality and community detection are crucial measures in network science which enable customers with the highest potential value to be identified in a network. Customers are increasingly seen as multidimensional, considering their preferences in various markets.