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In response to provisions in Public Law 99–383, which was passed 21 June 1986 by the 99th Congress, an inter‐agency group under the auspices of the Federal Coordinating Council for Science, Engineering, and Technology (FCCSET) for Computer Research and Applications was formed to study the following issues: the networking needs of the nation's academic and federal research computer programs, including supercomputer programs, over the next 15 years, addressing requirements in terms of volume of data, reliability of transmission, software compatibility, graphics capabilities, and transmission security; the benefits and opportunities that an improved computer network would offer for electronic mail, file transfer, and remote access and communications; and the networking options available for linking academic and research computers, including supercomputers, with a particular emphasis on fiber optics. Bell reports on the process and recommendations associated with the committee's work, and suggests a means for accomplishing the network objectives addressed by its report.

This paper aims to shed light on the linkage between research and development (R&D) networks and public funding presented in a given period by using network-based evaluation tools as a means of exploring the relational dimension in public projects designed to foster technology R&D activities.

This research uses co-occurrence network analysis of relevant public projects to assess how technological associations might occur within the R&D activities of given publicly funded projects as well as conducts correlation analysis to understand the extent to which linkages of R&D activity in technology fields are related to public expenditure.

Core technology fields, regarded as eligible to receive continued public funding, are critical for enhancing competitiveness and sustainable growth at the nationally strategic technology level. Thus, the relationship between R&D and the level of government funding for these fields is generally perceived as strong. However, a few technology fields, which did not actively form specific network relationships with other technology fields, are considered to exceptionally drive the largest government support. This trend indicates that the government-funded R&D should be designed and managed not only to curb the inefficiencies existing in the current funding programs but also to achieve the appropriateness for further technology development.

Despite the comprehensive findings, this study has several limitations. First, it is difficult to control any confounding factors, such as the determinants and constraints of the government budget allocation and expenditure decisions over S&T areas, strategic frameworks for public investment and evolving policy landscapes in technology sectors, which lead to bias in the study results. Second, this study is based on a narrow, single-year data set of a specific field of projects supported by the Korean government’s R&D program. Therefore, the generalization of findings may be limited. The authors assumed that influences caused by confounding variables during the initial phase of the public funding schemes would not be significant, but they did not take into account possible factors that might arise coincident with the subsequent phase changes. As such, the issue of confounding variables needs to be carefully considered in research design to provide alternative explanations for the results that have been ruled out. The limitations of this study, therefore, could be overcome by comparing the outcome difference between subsidized and non-subsidized R&D projects or evaluating targeted funding schemes or tax incentives that support and promote various areas of R&D with sufficiently large, evidence-based data sets. Also, future research must identify and analyze the R&D activities concerning public support programs performed in other countries associated with strategic priorities to provide more profound insight into how they differ. Third, there are some drawbacks to using these principal investigators-provided classification codes, such as subjectivity, inaccuracy and non-representation. These limitations may be addressed by using content-based representations of the projects rather than using pre-defined codes. Finally, the role that government investment in R&D has played in developing new science and manufacturing technologies of materials and components through network relationships could be better examined using longitudinal analysis. Furthermore, the findings suggest the need for further research to integrate econometric models of performance outcomes such as input–output relations into the network analysis for analyzing the flow of resources and activities between R&D sectors in a national economy. Therefore, future research would be helpful in developing a methodological strategy that could analyze temporal trends in the identification of the effects of public funding on the performance of R&D activity and demand.

Public funding schemes and their intended R&D relationships still depend on a framework to generate the right circumstances for leading and promoting coordinated R&D activities while strengthening research capacity to enhance the competitiveness of technologies. Each technology field has a relatively important role in R&D development that should be effectively managed and supervised to accomplish its intended goals of R&D budgeting. Thus, when designing and managing R&D funding schemes and strategy-driven R&D relations, potential benefits and costs of using resources from each technology field should be defined and measured. In this regard, government-funded R&D activities should be designed to develop or accommodate a coordinated program evaluation, to be able to examine the extent to which public funding is achieving its objectives of fostering R&D networks, balancing the purpose of government funding against the needs of researchers and technology sectors. In this sense, the examination of public R&D relations provides a platform for discussion of relational network structures characterizing R&D activities, the strategic direction and priorities for budget allocation of the R&D projects. It also indicates the methodological basis for addressing the impact of public funding for R&D activities on the overall performance of technology fields.

The value of this work lies in a preliminary exploratory analysis that provides a high-level snapshot of the areas of metallurgy, polymers/chemistry/fibers and ceramics, funded by the Korean Government in 2016 to promote technological competitiveness by encouraging industries to maintain and expand their competencies.

The purpose of the empirical study was to examine whether strategies shown to work well in one model of network development for library and information science (LIS) practitioners and researchers could be applied successfully in the development of a new network and contribute to the narrowing of the research–practice gap in LIS.

Overall, 32 members of a new professional network were surveyed by a questionnaire following the completion of a programme of four network events held between 2019 and 2021.

The analysis demonstrates the transferability of the existing model of network development to a new network and that it can be successfully adapted for online delivery of network events and activities.

The criteria deployed for the evaluation of the new network could be used in other similar settings. Funding bodies can also use these findings as demonstration of the value of their investment in network grants.

This contribution on means of growing collaborative networks to narrow the LIS research–practice gap stands out in contrast with prior research that tends to focus the support of research productivity of academic librarians in North American universities for the purposes of career development. Here wider aspects of research engagement are considered of value for LIS practitioners from a range of sectors and institutions, beyond North America, for purposes that are broader than personal advancement.

While there is a large volume of entrepreneurial social capital research, the philosophical assumptions have received limited attention. The purpose of this paper is to review and classify entrepreneurial social capital studies according to the following approaches – objectivist (positivist-realist, structuralist) and subjectivist (social constructionist). There is a neglect of structure and agency, and the authors encourage a critical realist approach that permits an understanding of observable network structure, constraint-order and human agency as a dynamic system.

The ontological and epistemological assumptions, and associated strengths and weaknesses of objectivist (positivist-realist, structuralist) and subjectivist (social constructionist) entrepreneurial social capital studies are discussed. The case for a more progressive critical realist approach is developed.

The authors demonstrate that objectivist (positivist-realist, structuralist) research with findings bereft of situated meaning and agency dominates. The emergence of subjectivist research – narratively examining different network situations from the perspective of those embedded in networks – is an emerging and competing approach. This dualism is unlikely to comprehensively understand the complex system-level properties of social capital. Future research should adopt critical realism and fuse: objective data to demonstrate the material aspects of network structures and what structural social capital exists in particular settings; and subjective data that enhances an understanding of situated meaning, agency and intention in a network.

This paper contributes a review of entrepreneurial social capital research and philosophical foundations. The development of a critical realist approach to understanding social capital gestation permits a system-level analysis of network structure influencing conduct, and agency.

For some time, researchers at the marketing/entrepreneurship interface have employed the concepts of networks and networking as a means of exploring how entrepreneurs “do business”. More recently, attempts have been made to show how the process of networking contributes to small firm marketing. The overall research study on which this paper is based aimed to show how networking contributes to marketing. This paper focuses on a specific objective of the overall research study, namely an understanding of the process of small firm networking. It reviews previous research into the concept of networking and demonstrates how the process of networking can be captured as a number of dimensions along which entrepreneurial networking may vary. The paper then explains that while previous research has allowed a conceptual framework of small firm networking to be developed, further empirical research is merited and an entirely appropriate type of research is of a qualitative nature.

The purpose of this paper is to understand the role of k-networks in knowledge creation, as existing literature argues that network structure does not provide sufficient explanation per se. This paper proposed diversity as an important construct to explain knowledge creation in SMEs’ k-networks.

First, by reviewing the literature, this paper proposes a hypothesis that predicts a positive association of content and knowledge creation. Then, focusing on patent co-authorship networks of the biotechnology industry in Victoria, this research used an explanatory multiple case study approach to test the formulated hypothesis.

By introducing new constructs, the results provide more insight on the positive association of knowledge content and knowledge creation. Based on the emergent constructs, rival hypotheses are also developed for further research.

Beyond the role of network structure, which has dominated the knowledge network literature, this research highlights how other factors like knowledge diversity are needed to be consider.

The purpose of this paper is to review the post‐1996 literature of information science and other disciplines for the application of social network theory and social network analysis to research that provides an understanding of information environments.

The literature review involved a content analysis of 373 articles retrieved from five electronic journal databases offering broad disciplinary coverage, and a selection of nine peer‐reviewed electronic access journals in information science. Each database was limited to academic or peer reviewed journals and searched using two query phrases: social network theory (SNT) and social network analysis (SNA).

The paper demonstrates the growth of interest by information science and other disciplines in research that applies social network theory and utilizes social network analysis, indicating what research approaches and major focus trends differentiate the disciplines.

The search phrases overlook articles using social networks as the only key phrase for indexing. However, the intention was to examine the application of a theoretical concept and specific methodology, so the terms used were appropriate for this purpose.

The paper identifies opportunities to apply social network theory and social network analysis to the study of the exchange of information resources.

The paper demonstrates that information science could advance valuable contributions to an understanding of information behavior using social network theory and social network analysis as a vehicle to connect with a significant body of existing research in other disciplines.

The purpose of this paper is to present a longitudinal case study of a regional innovation policy initiative, in which ideas with regard to how innovation might be facilitated were changing over time. Through the scrutiny of insights in industrial network studies (IMP), the authors seek to shed light on the challenges created by policy interventions aimed at constructing complementary networks for the facilitation of innovation. That is to say, the authors endeavour to understand the interfaces between innovation networks and industrial networks, and the way in which they may influence innovation.

This study is based on a longitudinal case study of four successive regional innovation projects in Norway. Data are drawn from relevant policy documents and project documentations, as well as from participatory observation of application processes and project activities.

This study shows that regional innovation policy concerns first and foremost the interaction within and between relatively established diverse networks, which affects both structuring and restructuring. Changes in innovation policy required the re-configuring of constellations of business networks, research networks and policy networks. All initiatives required mobilisation input by persistent actors – often boundary organisations or researchers. The construction of innovation networks served as an instrument in the production of new interfaces between businesses, researchers and policy makers. The use and usefulness of these networks as perceived by the business actors were heavily influenced by the way in which the networks were configured.

Generalisation based on in-depth qualitative case research requires further testing across similar and varying cases, and there have hitherto been relatively few studies of the interfaces between industrial and innovation networks. Despite this it can be argued that the conceptual distinction between constructed and emerging networks is a productive one in the study of networked innovation dynamics. During the research into this longitudinal case, it has been interesting to observe the way in which innovation research, and thus its influence on innovation policy, has changed over time. It would be beneficial if further studies were to be conducted on the way in which this has played out.

The administration of the public funding of innovation network activities requires great care. Where innovation policy initiatives are closely related to established industrial networks, it may be possible to strengthen innovation dynamics, challenge established practices and conceptions, and contribute to expanding, or even initiate innovation activities. In the first place, new activities need to be initiated in a way that supports the long-term development of actual business networks; and second, innovation policy bodies should be prepared to stimulate activity over longer periods of time.

This paper engages in, and combines, two parallel and rarely interacting debates on, respectively, innovation within innovation policy (innovation systems, clusters, networks) and industrial network studies (IMP and others). The authors make an “ideal type” distinction between alternative “constructed” networks and “emerging” networks, and the way in which they influence innovations.

Despite the popularity of talent management (TM), very little has been published on the community of scholars that contribute to the knowledge base of the field. The purpose of this paper is to disclose the dynamics in TM research through a detailed analysis of its evolving collaboration networks (i.e. research communities) in order to identify key authors and major topics covered.

A total of 225 co-authored articles published on TM from 2001 to May 2016 were retrieved from the Web of Science and Scopus and then analyzed and mapped using social network analysis methods.

The authors identified two major scientific communities (one of 63 authors and the other one of 24 authors). Both communities not only have different characteristics and structure, but also focus on different topics. The authors identified key players within each community and offer a dynamic view on the main topics studied.

This paper may help practitioners and newcomers to the field to rapidly identify key players and main topics studied in the TM field. It may assist academic institutions and journal editorial teams in better assessing and identifying key scholars in this field.

This paper offers the first analysis of TM collaborative research networks.

This paper considers the relevance which networks have for research at the Marketing/Entrepreneurship Interface. The paper argues that while there is some evidence to suggest that networks are an important tool for entrepreneurial firms, there is a need to more clearly explain what is meant by the terms “network” and “networking”. It is proposed that by using a definition of networks borrowed from the field of social anthropology, current understanding of the marketing benefits that can accrue to firms which make entrepreneurial use of networks can be advanced. Drawing upon the findings of research which employed such a definition, the paper concludes that networks and the activity of networking are indeed important entrepreneurial marketing tools and that further research attention to these is required to acquire a comprehensive understanding of these.