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The purpose of this study is to begine to address this question. The concept of the ideas-informed society (IIS) represents a desired situation in which citizens actively and critically engage with new ideas, developments and claims to truth. Its successful actualisation is dependent on high-quality educational opportunity at all stages of the life course. Social networks represent our connections to one another. Features of our social networks impact on how we engage with ideas. For instance, homophily dictates that individuals form networks with others seen as being like themselves. A key question, however, is whether there are forms of homophily that, by the nature of those they bring together, promote ideas engagement by individuals and the implications of consequent networks for the IIS?

This study re-analysed survey data from 1,000 voting-age citizens in England. Focusing on friendship networks, the authors used a structural equation model approach to explore the existence and potency of homophilic friendship networks; whether such networks drive respondents’ ideas-engagement with friends; and whether ideas discussions with friends impacts on the importance respondents place on staying up to date.

Political homophily has the strongest influence on whether people discuss new ideas with their friends (ES = 0.326, p < 0.01). In turn, ideas discussion has a significant impact on the extent to which people value engaging with ideas (ES = −0.345, p < 0.01).

The authors consider whether ideas-related discussion within politically homophilous networks is problematic for the IIS and what is required from education systems if we are to build individuals’ capacity to engage with ideas while escaping echo chambers.

The purpose of this paper is to propose that there is not one ideal network structure of knowledge flow, but many, and that the network structures of knowledge flows between employees in teams are task‐related.

Ideal knowledge network structures in teams are examined on the basis of the literature. A case study of a well‐established team, presented with social network analysis methods, reveals the different structures of knowledge flow.

According to the case study, it is shown that the network structures of knowledge flow are different in different tasks. It is suggested on the basis of theory that the ideal knowledge network structures are hierarchical for routine tasks, core‐peripheral for development tasks and ego‐centric for idea generation tasks.

The research design presented in this paper should be applied to more cases to ascertain its validity.

This paper provides means for understanding, assessing and managing knowledge networks in teams.

Flows of knowledge have been found to be an important area in network research. This paper shows how they are structured according to the nature of the tasks.

This chapter addresses ambidexterity at the individual level. Ambidexterity is defined as a company's ability to guarantee both short- and long-term successes by simultaneously exploring new market or new technological paths and improving existing products. We demonstrate that this ability can result from the evolution of social networks linking individuals involved in idea development. We used a longitudinal approach that combined case study and social network structure analysis of the R&D center of a semiconductor company. Six cases have been selected according to the level of disruption of the first idea generated and the end result in terms of exploration and exploitation. For these six cases, data have been gathered from monthly project reviews, press articles and listings of patents. Seventy-four interviews with key actors in the idea-development process have also been conducted.We mapped the relationships between actors who have contributed to the development of the idea through creative thinking and/or helped it to be accepted both internally and externally over three-year windows. Consequently, two network pictures are drawn for each case, and network structure indicators are computed for these two representations. We created a description of network evolution and the consequences of this process on the level of disruption of the ideas involved. This research demonstrated that different network structures and types of connections are relied upon depending on the explorative or exploitative objectives of teams of individuals.

While strategy was traditionally perceived as exclusive, and limited to small groups within organizations, recently a shift toward greater openness through inclusion of a larger number and variety of actors is emerging. The purpose of this paper is to adopt a social network perspective to develop a theoretical framework on how this increased openness has a varying impact in the different phases of the strategy process.

The author suggests that the strategy process is shaped through social interactions between individuals. Specifically the author conceptualizes how introducing openness affects individuals’ structural and relational characteristics, which impact generating new strategic ideas (variation), and selecting (selection), and integrating them into the existing set of routines (retention).

The framework shows that benefits and costs of increased openness balance differently. While substantial benefits may be realized in the idea generation phase, costs may outweigh the benefits in the selection and retention phase.

Based on the framework, implications can be drawn on how openness should be introduced in the different phases of the strategy process. Specifically the author discusses appropriate open strategy tools based on social technologies, which organizations can use to benefit from openness in the different stages.

Open strategy is a newly emerging phenomenon, which seems to fundamentally change the strategist’s work. More open, inclusive ways of strategizing offer new benefits but also create costs in the strategy process. This paper deepens the theoretical understanding of the consequences of openness in the strategy process.

This paper aims to contribute to the lack of research on female social entrepreneurs and their social and contextual embeddedness, promoting women’s social entrepreneurial activity as promising, specifically in the South African context.

By analyzing the founding process and networks of 11 female social entrepreneurs in South Africa using a mixed-method approach consisting of semi-structured interviews, media analysis and egocentric network analysis, this paper seeks to discover the idea-fruition process of female social entrepreneurs. This approach enables us to analyze contextual factors with a focus on personal networks and their influence on the processes of idea-generation and development.

The results indicate that social networks are an important part of the personal context which influences the idea-fruition process of female social entrepreneurs. The paper identifies specific actors as well as group outcomes as particular relevant within this context.

While the results enable the generation of a structure based on the authors’ first insights into how social relational networks influence female social entrepreneurship, it remains unclear if these results can be specifically traced to women or social entrepreneurial aspects, which suggests that further attention is needed in future studies.

Practical implications can be derived from the results concerning the support of female social entrepreneurs by, for example, optimizing or using their (social entrepreneurial) environment. Contrary to studies on business idea-generation, the results stress that women can make use of certain network constructions that are often considered to be obstructive.

This study introduces an innovative gender perspective on social entrepreneurship in South Africa and offers new directions for future research on the opportunity recognition process of female social entrepreneurs.

This paper aims to analyze idea generation in a public-private collaboration of a Brazilian Government Agency. The authors start from the following research question: How did the process of open creativity occur from collaboration, network relationships and creative practice in the experience of open innovation cycles of the Public Prosecutor’s Office of Pernambuco, Brazil?

The research was characterized as a case study that empirically explored a contemporary phenomenon in a specific context. The authors conducted document research and interviews and used the content analysis technique.

The findings showed that open creativity enabled more efficient idea generation when the public-private partnership was established in a well-structured collaboration network with the private sector of the economy; when it consisted of a heterogeneous group of external collaborators who developed a wide exchange of expertise; and when practical actions were developed to make the creative process more efficient.

The study was limited to a single reality. The study was conducted in a single country and other nations may have social and institutional elements that were not considered in the analysis and that may influence the results in similar studies.

The authors investigated open creativity in the public sector, a field that still has gaps in understanding. The authors focused on social relationships for the generation and improvement of ideas among actors external to the organization involved, a niche that is still little explored in the literature.

This chapter examines the influence of the Federalist Society for Law and Public Policy on some of the most important Supreme Court decisions of the past three decades. Mobilizing the epistemic community framework, it demonstrates how network members, acting as amici curiae, litigators, academics, and judges worked to transmit intellectual capital to Supreme Court decision makers in 12 federalism and separation of powers cases decided between 1983 and 2001. It finds that Federalist Society members were most successful in diffusing ideas into Supreme Court opinions in cases where doctrinal distance was greatest; that is, cases where the Supreme Court moved the farthest from its established constitutional framework.

This study aims to explore how online reviews and users’ social network centrality interact to influence idea popularity in open innovation communities (OICs).

This study used Python to obtain data from the LEGO Innovation Community. In total, 285,849 reviews across 4,475 user designs between March 2019 and March 2021 were extracted to test this study’s hypotheses.

The ordinary least square regression analysis results show that review volume, review valence, review variance and review length all positively influence idea popularity. In addition, users’ in-degree centrality positively interacts with review valence, review variance and review length to influence idea popularity, while their out-degree centrality negatively interacts with such effects.

Drawing on the interactive marketing perspective, this study employs a large sample from the LEGO community and examines user design and idea popularity from a community member’s point of view. Moreover, this study is the first to confirm the role of online reviews and user network centrality in influencing idea popularity in OICs from a social network perspective. Furthermore, by integrating social network analysis and persuasion theories, this study confirms the interaction effects of review characteristics and users’ social network centrality on idea popularity.

This study’s results highlight that users should actively interact and share with reviewers their professional product design knowledge and/or the journey of their design to improve the volume of reviews on their user designs. Moreover, users could also draw more attention from other users by actively responding to heterogeneous reviews. In addition, users should be cautious with the number of people they follow and ensure that they improve their in-degree rather than out-degree centrality in their social networks.

This study integrates social network analysis and persuasion theories to explore the effects of online reviews and users’ centrality on idea popularity in OICs, a vital research issue that has been overlooked.

Purpose – Structural embeddedness of social networks within and beyond work organizations has shown its association with the innovation at work for employees from literature. Structural embeddedness includes three dimensions: the diversity, density, and trust of accessed networks. This chapter attempts to compare how structural embeddedness mechanizes on innovation at work differently for employees in hi-tech and non-hi-tech sectors.Methodology/approach – We analyzed 1,817 cases of currently employed respondents from the 2005 Taiwan national survey on social capital. All the indicators on structural embeddedness are operationalized from position-generated networks, and we performed regression models for total, hi-tech, and non-hi-tech samples.Findings – Except the universal effects of diversity on innovation at work for employees in both hi-tech and non-hi-tech sectors, density and trust of accessed networks significantly affect innovation at work only for employees in non-hi-tech sectors. There is a slight interaction effect between trust and density on innovation at workplaces. Those individuals with high-degree trust in accessed networks tend to have a lower degree of innovation while their network density is high. It implies that complementary networks seem to be more useful for applying new ideas at the workplace for non-hi-tech workers.Originality/value of chapter – This chapter contributes to the literature by presenting the importance of structural embeddedness of accessed social networks for innovation at work.

Traditionally, firms have been dependent on internal sources such as their own employees – and up to a certain extent, on some external sources, their customers – for innovation. However, in the current scenario of technological dynamism, firms are exploring multiple sources to generate ideas for innovation. Therefore, there is a need to understand the relative effect of various sources of innovations on a firm’s performance.

We offer a conceptual framework where we identify six distinct sources of innovations – firm, customers, external network, competition, macro-environment, and technology and how they create value for focal firms especially their brand equity. We introduce a taxonomy of various costs and benefits related to innovations. We then argue using our proposed taxonomy to understand the relative strengths of various sources of innovation affecting a firm’s brand equity.

We discuss and compare the relative effects of these sources of innovations on a firm’s brand equity by rank-ordering the sources. The customers and the technology as a source of innovation have the maximum impact on the firm’s brand equity followed by the marginal impact of macro-environment and external network of a firm. The firm itself has a moderate impact on its brand equity, while competition has the minimal impact. Further, we also discuss how the relationship is moderated by different innovation characteristics (nature and type of innovations).

The main practical implication is to create awareness among managers about various costs and benefits of the proposed six sources of innovations and their effects on brand equity. Managers would be able to prioritize their sources of innovation based on firms’ current needs, and whether to focus on lower costs or building higher brand equity in the scarce resource environment.

We offer a comprehensive list of six sources of innovation, build a conceptual framework wherein we discuss the relative strengths of these sources affecting brand equity.