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Knowledge sharing is a fundamental source of competitive advantage. Social networks are thought to play an important role in knowledge sharing, but are presumed to create a trade-off such that a network can be optimized to promote either knowledge seeking or knowledge transfer, but not both. The trade-off, however, is premised on, and representative of a broader tendency to treat, brokerage and closure as contradictory network forms. We challenge this assertion and propose a theory of knowledge sharing with brokerage and closure as compatible and complementary. Evidence from a contract research and development firm broadly supports our theory. We also report the results of a simulation analysis, which illustrate that only in the extremely rare case when a network is characterized by nearly complete balance do brokerage and closure begin to create a trade-off.

The purpose of this paper is to examine the information flows, in terms of content and process, underpinning the sharing of knowledge by managers and owners. Such an examination reveals similarities and differences that will influence the generation and dissemination of knowledge used in tourism business operations and contribute to innovation.

This paper examines information flows within the theoretical and methodological framework of social network analysis. The findings were derived from a quantitative study of tourism managers and owners of a tourism hub in South-West England.

The main finding was that network structure characteristics determine the flow of information within owners’ and managers’ social networks. The owners of smaller businesses received information from several sources and, therefore, had fewer structural constraints and reported larger structural holes. In comparison, the managers had more brokerage opportunities to disseminate the information within their social networks.

This paper highlights knowledge sharing between tourism business managers and owners in an open network structure. First, an open network structure builds innovation through the provision of nonredundant information. This is determined through the effective size of structural holes and the dissemination of information through brokerage roles. Second, the knowledge capability of a destination is built up through the social networking of managers and owners. The generation and dissemination of knowledge in a tourism destination are facilitated by the social networking activities of managers and owners.

Managers and owners of tourism businesses require knowledge through information to assist with innovative business practices. The practical implication of this is that the social networks of managers and owners have different network characteristics, and that these differences result in consequences for the innovation of business practices. Another practical implication relates to the importance of managers in knowledge dissemination based on having several brokerage roles in the tourism destination.

These findings are important because an understanding of social networks and the flow of information is one of the keys to determining the influences on knowledge sharing within tourism destination knowledge networks of owners or managers and their potential contributions to innovation.

This paper aims at investigating the multifaceted nature of innovation networks by focusing on two research questions: Do cluster actors exchange only one type of innovation-related knowledge? Do cluster actors play different roles in innovation-related knowledge exchange?

This paper builds on data collected at the firm level in an Italian aerospace cluster, that is a technology-intensive industry where innovation is at the base of local competitiveness. A questionnaire was used to collect both attribute data and relational data concerning collaboration and the flows of knowledge in innovation networks. The authors distinguished among three types of knowledge (technological, managerial and market knowledge) and five types of brokerage roles (coordinator, gatekeeper, liaison, representative and consultant). Data analysis relied on social network analysis techniques and software.

Concerning the first research question, the findings show that different types of knowledge flow in different ways in innovation networks. The different types of knowledge are unevenly exchanged. The exchange of technological knowledge is open to everyone in the cluster. The exchange of market and managerial knowledge is selective. Concerning the second research question, the authors suggest that different types of cluster actors (large firms, small- and medium-sized enterprises, research centers and universities and institutions for collaboration) do play different roles in innovation networks, especially with reference to the three types of knowledge considered in this study.

The present paper has some limitations. First of all, the analysis focuses on just one cluster (one industry in one specific location), cross- and comparative analyses with other clusters may illuminate the findings better, eliminating industry and geographical biases. Second, the paper focuses only on innovation-related knowledge exchanges within the cluster and not across it.

The results have practical implications both for policy makers and for managers. First, this research stresses how innovation often originates from a combination of different knowledge types acquired through the collaboration with heterogeneous cluster actors. Further, the analysis of brokerage roles in innovation-driven collaborations may help policy makers in designing programs for knowledge-transfer partnerships among the various actors of a cluster.

The paper suggests a clear need of developing professional figures capable of operating at the interface of different knowledge domains.

The data illuminate several aspects of how innovation takes place in a cluster opening up intriguing aspects that have been overlooked by extant literature. The authors believe that this may trigger several lines of further research on the topic.

This study aims at analyzing the features of knowledge flow and the role-specific nodes in knowledge networks among individuals and business units of six organizations in different industries, and suggesting prescriptions to prevent the organizational knowledge sclerosis.

This research conducts multiple case studies on the organizational knowledge paths of six companies in the multiple industries through social network analysis (SNA) tool developed by the authors of this paper.

This study provides four major findings which shed a new light on how to comprehend the features of knowledge flow and the role-specific nodes in knowledge networks in organizations: the within-business unit knowledge flows are more dominant over the inter-business units knowledge flow; the downward knowledge flows are dominant over the horizontal and upward knowledge flows in the management levels; distributions of knowledge owners and providers are like L-shape and the gap between knowledge owing and providing expands as the management levels go up; and the top 20 percent people in an organization dominate over a large portion of the knowledge brokerage activities.

Cultural difference issue might arise because data collection was limited to Korean organizations. Therefore, the findings from this study needs to be cautiously interpreted considering the cultural difference/deeper understanding of the organizational knowledge paths through social network lens can make it possible for more context-specific KM strategies (e.g. suitable for a specific functional unit, management level, or industry type) to be identified and implemented.

Managers can have a solid grasp about knowledge flows and knowledge node roles in their organization through social network analysis in order to facilitate the knowledge transfer and eliminate the knowledge link lapse in organizations.

This study could be a stepping stone for further empirical research since it expanded the level of organizational knowledge network analysis from individual and team to inter-unit and inter-management level through the block modeling analysis of knowledge network.

This paper aims to explore the role of business support organisations (BSO) in overcoming barriers to the adoption of Industry 4.0 (I4.0) technologies, especially in disseminating knowledge on such technologies among cluster firms.

The study is based on in-depth interviews conducted in 2021 with representatives of BSO in three manufacturing clusters (furniture, metal and automotive) in the Wielkopolska region in Poland.

Companies in clusters face important barriers impeding the adoption of I4.0 technologies, in particular, the unawareness of the characteristics and potential of those technologies. BSO might be particularly helpful in overcoming this barrier by supporting knowledge dissemination among companies. This study’s analyses suggest they can do so in three roles: as knowledge gatekeepers, as brokers of purposeful knowledge transfer and as facilitators of spontaneous knowledge diffusion. Evidence suggests that different types of organisations are more likely to be associated with each of these three roles, despite such a combination of the three often being in one place: public agencies are gatekeeping, selecting and passing on certain knowledge on I4.0; research-oriented organisations (such as technology parks) play a knowledge transfer brokerage role; industry associations and cluster initiatives are actively facilitating spontaneous knowledge diffusion.

This paper is a contribution to the emerging literature on digital transformations of clusters by investigating the difficulties preventing firms from adopting I4.0 technologies and the roles BSO can take on to support overcoming them.

This paper draws on the affordance perspective, to explore the social media (SM) usage experiences that might render valuable for academic women professionals, for knowledge exchange, networking and success. Owing to the increased SM usage during COVID-19 pandemic, this paper tries to find out that in what ways do SM affordances facilitate the underprivileged group of women professionals to grow in their careers in a masculine, conservative society through knowledge exchange.

By utilizing qualitative study design, the authors collected data from 31 women employed in Pakistani universities, through unstructured questionnaires. The responses were analyzed through Nvivo.

The generated themes suggested that women in Pakistan are aware of SM's potential for knowledge exchange among fellow professionals. They use it to aid them in communication, collaboration and networking. Additionally, they utilize it to share knowledge and build networks that are vital for career progression and success.

The paper concludes with the implications for practitioners that would aid them in boosting career prospects for women academicians through SM usage in a developing country Pakistan; where women's career outlooks are not as promising as for men; or as bright as for women working in the developed economies.

This a unique attempt to explore knowledge exchange dimensions with the help of SM in the context of working women by the deploying the phenomenological approach.

This study aims to refocus the analysis of global political economies using concepts from studies on Varieties of Capitalism (VoC) to track Taiwan’s rise in the Thin Film Transistor Liquid Crystal Display (TFT-LCD) industry. Taiwanese electronics firms began to outpace their competitors from Japan in TFT-LCD industry’s competition from about the year 2000.

Drawing on depth interviews and analysis of secondary source material, newspaper and magazine.

A time factor that helps determine advantage and/or disadvantage of high-tech industry in Japan and Taiwan. Stable organizational structure and less talent mobility in the Japanese TFT-LCD firms may well have been an advantage initially in the transformation process from US firms’ experimental technologies to tacit mass production technologies, but proved to be a disadvantage in the subsequent competition with more mobile talent in Taiwanese firms eager to standardize mass production techniques. Japanese firms’ rigid organizational structure could not keep pace to the market-oriented technology strategy in the global TFT-LCD industry, lost competitive advantage in a rapid pace.

VoC literature should be focused to highlight two insights. The first is the premise of institutional forms specific to national models of capitalism. Patterns of technology transfer appear critical in the innovation process, and differ markedly between Taiwan and Japan. Second, the VoC literature suggests comparative institutional advantage.

Through the comparative analyses between Taiwanese capitalism model and Japanese counterparts, we can understand the reason and process of the rise of Taiwan in global TFT-LCD market.