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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 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.

In the pursuit of co-exploration, the strength and brokerage dimensions of dyadic ties create a novelty–action trade-off: tie strength facilitates coordination but constraints novelty, while tie brokerage expands knowledge diversity but aggravates coordination difficulty. This study contributes towards a better understanding of this tension by comparing two dimensions of relational ties and examining their contingent values given different environmental factors and exchange characteristics.

The authors used survey data from 194 matched buyer–supplier dyads in China's high-tech industries and employed hierarchical moderated regression analysis to test the proposed hypotheses.

The authors find that compared with tie strength, tie brokerage has a stronger positive effect on co-exploration. Moreover, guanxi importance amplifies the effect of tie strength while decreasing the value of tie brokerage. As market uncertainty increases, the role of tie brokerage becomes more salient. Additionally, tie strength becomes less effective when buyer centralization is high, whereas tie brokerage exerts a stronger impact on co-exploration when an exchange is highly formalized.

This study contributes to the supply chain literature by adopting a relational perspective to integrate relational ties into the study of buyer–supplier co-exploration and by elaborating on the different implications of tie strength and tie brokerage in resolving the novelty–action trade-off. Furthermore, it provides a more nuanced understanding of when distinct dimensions of relational ties are effective, by clarifying boundary conditions in terms of environmental factors and exchange characteristics.

Sustainable development involves companies on an individual, organizational and social level requiring the adoption of business models or innovations capable of privileging the co-creation of mutual value with a view to sustainability. From an organizational perspective, this paper aims to show that knowledge brokers, by making explicit their roles as mediators of interactions and acting on dynamic capabilities (DCs), can generate a proactive approach to the three dimensions of sustainability and specifically allows capabilities to positively impact the propensity toward sustainable supply chain management (SSCM) practices.

This study offers an empirical analysis of 200 companies in the agro-food sector participating in a knowledge brokerage system activated by protection consortia. It uses a multiple regression technique that allows for observing relationships between DCs and SSCM.

Absorptive, adaptive and innovative capabilities, when understood and brokered, have a positive and direct impact on the SSCM.

As there have rarely been frameworks developed that correlate knowledge brokerage, DCs and sustainability, this paper suggests that DCs, when adequately valued by the knowledge broker, allow for identifying the requirements of the various stakeholders regarding sustainability and changes in market scenarios to generate sustainability practices along the supply chain.

Health care ecosystems instantiate different innovation trajectories, driven either by science-/techno-push or user-centric rationales. This article focuses on organization intermediaries (OIs), respectively, active in health care ecosystems driven by science- and techno-push versus user-centric innovation processes; it aims at characterizing their operation and intervention modes. The analysis elaborates on network and content brokerage. Innovation also needs to consider various challenges associated with physical vicinity. The authors check whether territorial anchoring plays a role in brokerage, depending on the innovation model.

The article offers an investigation of eight French organizations matching the definition of OIs and active in different areas of health care-related innovation. It follows a qualitative and abductive research protocol adhering to the precepts of grounded theory.

First, the authors show that content and network brokerage specialize in specific activities in each innovation model. On network brokerage, the authors show that OIs foster the development of communities of practice in the science-/techno-push model, while they nurture communities of innovation in the user-centric model. Services materializing content brokerage are typical consequences of activities performed in each model. The second contribution deals with physical vicinity. In the science-/techno-push model, OIs install a physical space (the “internal” dimension) to support the development of communities of practice, while the “external” dimension copes with agglomeration effects. In the user-centric model, OIs deliver services thanks to the “internal” space; communities of innovation create a leverage effect on the physical space to operate their activities that are supported by “external” network effects.

The originality of the article lies in the description of the alternative roles plaid by organization intermediaries in the science-/techno-push versus user-centric approaches of innovation. In these two approaches, (contents and network) brokerage and physical vicinity play different roles.

Existing literature is limited in its ability to consider start-ups as a knowledge broker to trigger innovation in a supply chain ecosystem (SCE). In a traditional SCE, start-ups are relatively isolated, leading to structural holes that limit knowledge sharing among members. This paper aims to overcome that limitation and to build frameworks that help to illustrate the interaction between knowledge management and sharing, start-up innovation and an ecosystem from a supply chain perspective.

Following a qualitative approach, this study theorizes about the role of start-ups as knowledge brokers and the implications of knowledge management and sharing with members in an SCE concerning innovation. Conceptual analysis is used for examination, and this study uses a set of qualitative tactics to interpret and generate meaning from the existing literature.

This study develops two frameworks to provide insight into how start-ups can trigger innovation as knowledge brokers in an SCE. The first framework shows how start-ups, and their knowledge base, influence supply chain members and the overall ecosystem, highlighting the isolated function of start-ups and the issue of structural holes in a traditional SCE. The authors propose a model that illustrates how structural holes can be bridged within an SCE, thereby demonstrating how start-ups redefine the ecosystem architecture according to their knowledge broker position in the SCE.

By expanding insight into the concepts of how start-ups can trigger innovation as knowledge brokers in an SCE, this paper extends the so-far neglected area of start-ups and knowledge brokers. This study clarifies the conceptual and theoretical components and processes in an SCE and links the different roles of start-ups as knowledge brokers to the respective supply chain members to better understand the implications on the entire SCE.

The purpose of this study is to show that an important antecedent of perceived knowledge quality is an employee’s position in the organizational network due to their participation in different interest groups. In particular, this study theorizes that brokers establish a network of groups, which increases perceived knowledge quality vis-a-vis the social capital that employees draw on.

To test this study’s hypotheses on the influence of the structural position of knowledge brokers on the positive effects of social capital on perceived knowledge quality, this study combines data from an online survey with longitudinal archival data from a youth-care organization who used an enterprise social network (ESN) for knowledge sharing.

This study found a mitigating effect of being a broker on the relationship between trust and perceived knowledge quality, and also between inter-team interaction and perceived knowledge quality for lower levels of both trust and inter-team interaction on perceived knowledge quality.

Although the hypotheses are supported, in light of prior research, the authors would have expected stronger and positive effects.

This research is particularly interesting because it emphasizes the important role of social capital. For organizations that deal with trust issues, it might help to stimulate employees to broaden their activity on ESNs by becoming active in multiple groups.

While knowledge sharing on ESNs is generally conducive for creating organizational value, there is a lack of understanding of what drives employees’ perception of the quality of shared knowledge, and how this perception may depend on their position in the social network. To investigate this question, the authors turn to social capital theory.

The purpose of this paper is to understand the relationship between foreign direct investment (FDI) and cities and how the relationship between multinational enterprise (MNEs) and local firms facilitates regional cleantech innovation.

Using a combination of social network analysis, regression analysis and interview analysis, the authors map and analyze a cleantech cluster to investigate the relationship between MNEs and local firms and the resulting effects on cleantech innovation.

The findings of the paper indicate that FDI plays a crucial role in cities and their local clusters by acting as a broker between a diverse set of actors: firms, institutions, universities, financial and other intermediaries. Additionally, connectedness to MNEs improves local firms’ innovation.

This study is not free of limitations, mainly, because of the aspects that the analysis is based on one city and one cleantech hub. Further research could verify whether the findings of this paper hold in other cities and industries.

The findings, elucidating the connection between MNEs and local firms, as well as MNEs being important brokers in the local system, and the resulting impact, will help policymakers to take appropriate actions and support the local cleantech innovation. It is important to not only attract high-quality FDI into local clusters, but also to create and support collaborations between foreign firms and local actors, because colocation does not automatically leads to positive spillovers and a lot depends on how MNEs are integrated into the local milieu.

The present paper argues that FDI plays an important role in local cleantech innovation and it is important to integrate foreign firms in local social networks.

The authors analyze FDI patterns in an emerging industry at the city and local cluster level using a unique database containing the information on relationships between MNEs and local firms, as well as interview data.

This study aims to theoretically explore the relationship between potential antecedents of business model innovation (BMI) in multinational enterprises (MNEs) and the paths through which BMI unfolds in such contexts. This study theorizes how multiculturalism in top management teams (TMTs) influences team-level cultural intelligence (CQ), which enhances firm strategic agility and helps develop BMI in MNEs.

This study’s cross-level theoretical framework describes the mediating role of CQ of TMTs in the relationship between team multiculturalism and strategic agility, which subsequently influences BMI. This study discusses contributions, limitations and future directions.

MNEs’ capability of developing and recombining disruptive knowledge from globally dispersed sources and integrating them to innovate is subject to the knowledge-sourcing paradox. Despite the importance of intra-member diversity in the form of multicultural individuals in multicultural teams, inter-member diversity is more prominent in the literature. Regardless, the applicability of a comprehensive conceptualization of diversity in multicultural teams to BMI has yet to be examined. This study’s theoretical model links multiculturalism in TMTs with BMI in MNEs through a cross-level framework.

This study contributes to the International Business literature by proposing a novel conceptualization of team multiculturalism and leverage theoretical underpinnings of the Dynamic Managerial Capabilities perspective to develop a cross-level model of factors influencing BMI in MNEs.

Literature on strategic alliances (SAs) is large, diverse and growing. It needs synthesis and analysis for application and further research. Authors have also underlined the need for studies covering differences in structuring, situational application and management of alliances. This systematic literature review aims to cover dyadic, network and ecosystem (DNE) alliances with theory, context, characteristics and methodology (TCCM) methodology covering the life cycle stages of an alliance (pre-formation, formation and management) to uncover insights which inform practice and guide further research on this important subject.

This paper follows systematic literature review (SLR) methodology for research design and article selection and TCCM methodology for analysis. It also analyses the literature on DNE alliances using a nine-box matrix with DNE alliance forming one axis and three alliance lifecycle stages of pre-formation (alliance objectives), formation (alliance design and operationalisation) and post formation (alliance management) stages along the other axis.

Analysis indicates focus on individual firms and their own customer value proposition (CVP) in the dyadic and network alliances. Industries with fast-paced technological change benefit from loosely coupled alliances. Social context and social exchanges leading to collaboration and collective strengths mark network alliances, with a focus on knowledge creation and dissemination. Ecosystems focus on a collective CVP, which guides alliance behaviour. Ecosystem leadership guides this purpose through governance for sustained competitiveness. Negative consequences (dark side) of alliances can be mitigated by careful design, formation and management of DNE alliances.

While literature has focussed on static view of alliances in their industry or social context, this literature review analyses alliances along the dyadic, network and ecosystem typology, thus providing a new lens to study alliances. The review also recognises that alliances evolve over their life-cycle stages and observes their progression through their lifecycle stages aids for fuller comprehension of their behaviour. Areas for future research in structuring, leadership, value co-creation and technological change set an agenda for future research.

Dynamic managerial capabilities are drivers of alliance performance. The analysis using the nine-box matrix allows managers to better appreciate the options that exist and the consequences of their actions. Situating their alliance in the appropriate box can allow managers better plan, operationalise and manage their own alliances.

This systematic review compares and contrasts DNE alliances in extant literature and through their lifecycle stages. Insights from TCCM analysis and the nine-box matrix provide unique contribution to both theory and practice in this large and growing domain.