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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.

The ongoing paradigm shift in the energy sector holds paramount implications for the realization of the sustainable development goals, encompassing critical domains such as resource optimization, environmental stewardship and workforce opportunities. Concurrently, this transformative trajectory within the power sector possesses a dual-edged nature; it may ameliorate certain challenges while accentuating others. In light of the burgeoning research stream on open innovation, this study aims to examine the intricate dynamics of knowledge-based industry-university-research networking, with an overarching objective to elucidate and calibrate the equilibrium of ambidextrous innovation within power systems.

The authors scrutinize the role of different innovation organizations in three innovation models: ambidextrous, exploitative and exploratory, and use a multiobjective decision analysis method-entropy weight TOPSIS. The research was conducted within the sphere of the power industry, and the authors mined data from the widely used PatSnap database.

Results show that the breadth of knowledge search and the strength of an organization’s direct relationships are crucial for ambidextrous innovation, with research institutions having the highest impact. In contrast, for exploitative innovation, depth of knowledge search, the number of R&D patents and the number of innovative products are paramount, with universities playing the most significant role. For exploratory innovation, the depth of knowledge search and the quality of two-mode network relations are vital, with research institutions yielding the best effect. Regional analysis reveals Beijing as the primary hub for ambidextrous and exploratory innovation organizations, while Jiangsu leads for exploitative innovation.

The study offers valuable implications to cope with the dynamic state of ambidextrous innovation performance of the entire power system. In light of the findings, the dynamic state of ambidextrous innovation performance within the power system can be adeptly managed. By emphasizing a balance between exploratory and exploitative strategies, stakeholders are better positioned to respond to evolving challenges and opportunities. Thus, the study offers pivotal guidance to ensure sustained adaptability and growth in the power sector’s innovation landscape.

The primary originality is to extend and refine the theoretical understanding of ambidextrous innovation within power systems. By integrating several theoretical frameworks, including social network theory, knowledge-based theory and resource-based theory, the authors enrich the theoretical landscape of power system ambidextrous innovation. Also, this inclusive examination of two-mode network structures, including the interplay between knowledge and cooperation networks, unveils the intricate interdependencies between these networks and the ambidextrous innovation of power systems. This approach significantly widens the theoretical parameters of innovation network research.

Informed by multiple disciplines, theories, and methods, higher education scholars have developed a robust and diverse literature in many countries. Yet, some important (organizational) sociological perspectives, both more established and more recent, are insufficiently linked. In particular, we identify two theoretical strands – institutional and relational – that, when joined, help to explain contemporary developments in global higher education and yield new organizational insights. We review relevant literature from each perspective, both in their general formulations and with specific reference to contemporary higher education research. Within the broad institutional strand, we highlight strategic action fields, organizational actorhood, and associational memberships. Within the relational strand, we focus on ties and relationships that are especially crucial as science has entered an age of (inter)national research collaboration. Across these theories, we discuss linkages between concepts, objects, and levels of analysis. We explore the methodological approach of social network analysis as it offers great potential to connect these strands and, thus, to advance contemporary higher education research in a collaborative era.

This chapter presents the strategy employed to develop a methodology to evaluate research collaboration networks in a higher education context. The research design comprised four successive tracks. We understand these methodological tracks as the tactics employed to organise available means to accomplish an objective. In the first track, we selected the key subjects, the ego networks and the network leaders to be analysed. In the second track, we visualised networks through graphs. In the third track, the statements of the subjects about formed networks were pursued, based on interviews. In the fourth track, case studies were researched and described. The study included qualitative and quantitative data to uncover the interactive processes of doing collaborative research inside a network. The methodology was useful to obtain visual understanding of the networks of co-authorial relations, quantitative and qualitative markers to be used in participatory evaluation of collaborative research networks, as well as an extended view of the life cycles of collaborative research networks. The main contribution of the chapter is to show a sequence of cross-disciplinary methodological steps allowing to understand different types of relations inside research network.

In this chapter, the authors focus on three challenges related to the attributes of the interactive business world and on the related implications for methodology. The first challenge is how to capture the continuity of business relationships, which implies: (1) Taking a two-sided (bilateral) view when researching business relationships, (2) collecting data on content and consequences of business relationships and (3) developing a research design to capture development over time. The second challenge is how to set boundaries and trace network-like structures, which implies: (1) identifying the relevant relationships that appear to affect each other in a network-like manner, (2) capturing interdependences among relationships (how they affect each other) and (3) researching forces generating network dynamics (how these interdependencies are established and change over time). The third challenge is how to observe and research interaction processes in business relationships, which leave little traces and are difficult to record. This requires the attention on (1) the choice of point(s) of observation, (2) the handling of the subjective understanding of interaction and (3) researching how interaction unfolds. The authors conclude with a discussion on the complexity of handling these challenges, and related methodological choices, when ‘research objects’ are interconnected.

Purpose: Provide insights on how social entrepreneurship (SE) knowledge can be more effectively generated by universities through the entrepreneurial creation and effective management of a knowledge network centered on international collaborative research; illuminate how one such network has enabled Latin American researchers to advance the knowledge and practice frontiers in the hemisphere and globally. Methodology/Approach: Retrospective analysis of the two-decade evolution of the Social Enterprise Knowledge Network, a pioneering international research collaboration (IRC) of Ibero-American management schools. Findings: Documents factors and dynamics enabling the successful creation and operation of international knowledge networks. Analyzes the key mechanisms for capturing synergies in collaborative research. Identifies specific effectiveness determinants for successfully operating an international social enterprise knowledge generation network. Identifies multiple impacts of a knowledge generation network. Research Implications: Advances understanding of IRCs. Provides a model for assessing knowledge network multiple impacts. Identifies a series of future research opportunities and needs. Practical Implications: Provides operational guidance for researchers developing or operating collaborative international knowledge networks. Social Implications: Reveals the value of collaboration in international research and factors that contribute to effective collaboration. Originality/Value: Provides unique retrospective study of an IRC network operated by developing country schools of management. Expands the scope of recent comparative research on SE education to include a set of countries in Ibero-America. Documents an approach to assessing the impacts of a knowledge network. Identifies important areas for advancing future social enterprise research and teaching.

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.