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This study aims to evaluate the network robustness of major Asian airlines and to explore which airport types have the greatest impact on robustness. We also analyze airports’ specific brokerage roles and their impacts on the robustness of the entire air route network. We select 10 major Asian full-service airlines that operate the main passenger terminals at the top-ranked hub airports in Asia. Data is collected from the Official Airline Guide passenger route dataset for 2017. The results of the network robustness analysis show that Air China and China Eastern Airlines have relatively high network robustness. In contrast, airlines with broader international coverage, such as Japan Airlines, Korean Air, and Singapore Airlines have higher network vulnerability. The measure of betweenness centrality has a greater impact on the robustness of air route networks than other centrality measures have. Furthermore, the brokerage role analysis shows that Chinese airports are more influential within China and Asia but are less influential globally when compared to other major hub airports in Asia. Incheon International Airport, Singapore Changi Airport, Hong Kong International Airport, and Narita International Airport play strong “liaison” roles. Among the brokerage roles, the liaison role has a greater impact on the robustness of air route networks.

This study aims to evaluate the network robustness of major Asian airlines and to explore which airport types have the greatest impact on robustness. We also analyze airports’ specific brokerage roles and their impacts on the robustness of the entire air route network. We select 10 major Asian full-service airlines that operate the main passenger terminals at the top-ranked hub airports in Asia. Data is collected from the Official Airline Guide passenger route dataset for 2017. The results of the network robustness analysis show that Air China and China Eastern Airlines have relatively high network robustness. In contrast, airlines with broader international coverage, such as Japan Airlines, Korean Air, and Singapore Airlines have higher network vulnerability. The measure of betweenness centrality has a greater impact on the robustness of air route networks than other centrality measures have. Furthermore, the brokerage role analysis shows that Chinese airports are more influential within China and Asia but are less influential globally when compared to other major hub airports in Asia. Incheon International Airport, Singapore Changi Airport, Hong Kong International Airport, and Narita International Airport play strong “liaison” roles. Among the brokerage roles, the liaison role has a greater impact on the robustness of air route networks.

Using the large database of patent, the purpose of this paper is to structure a technology convergence network using various patent network analysis for integrating different results according to network characteristics.

The patent co-class analysis and the patent citation analysis are applied to discover core safety fields and technology, respectively. In specific, three types of network analysis, which are centrality analysis, association rule mining analysis and brokerage network analysis, are applied to measure the individual, synergy and group intensity.

The core safety fields derived from three types of network analysis used by different nature of data algorithms are compared with each other to understand distinctive meaning of cores of patent class such as medical safety, working safety and vehicle safety, differentiating network structure. Also, to be specific, the authors find the detailed technology contained in the core patent class using patent citation network analysis.

The results provide meaningful implications to various stakeholders in organization: safety management, safety engineering and safety policy. The multiple patent network enables safety manager to identify core safety convergence fields and safety engineers to develop new safety technology. Also, in the view of technology convergence, the strategy of safety policy can be expanded to collaboration and open innovation.

This is the initial study on applying various network analysis algorithms based on patent data (class and citation) for safety management. Through comparison among network analysis techniques, the different results are identified and the collective decision making on finding core of safety technology convergence is supported. The decision maker can obtain the various perspectives of tracing technology convergence.

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.

The purpose of this paper is to present an alternative perspective on understanding the coordinating role of destination management organizations. Destination Management Organizations (DMOs) are known to have a coordinating role within a destination. Many qualitative case studies discuss this role in the institutional context, assuming that the DMO is supposed to coordinate the network of the organizations and stakeholder groups in the destination. By contrast, this paper analyzes the coordinator role of DMOs by focusing primarily on the prominent individuals (directors and board members) affiliated with it. In so doing, it proposes an alternative perspective on these organizations. Looking at the influential individuals in the destination, in particular those affiliated with the DMO, reveals new insights into what the DMO alternatively could be from an individual’s perspective.

Using social network analysis, the coordinator role of the actors affiliated with the DMO for six destination cases in Switzerland, Italy and Austria was measured. First, the network of the most salient individuals in the destination was identified. Second, the coordinator score with the help of the Gould and Fernandez measure was measured. Third, the coordinator scores of individuals affiliated with the DMO were compared against those of the other actors in the network. Fourth, the scores of actors affiliated with the DMO and other actors were compared to the coordinator role attributed to the whole organization by those individuals (i.e. how they see the DMO as coordinator). Fifth, the analysis of the results with case-specific information was completed.

In each of the six destinations, there are actors affiliated with the DMO as top scorers; these are usually the president of the board and other board members, as well as the director. Additionally, the analysis identifies further board members of the DMO among the tourist elite in the destination. The DMO as an organization is generally seen as an important coordinating institution. In particular, the actors affiliated with the DMO attribute a higher coordinating role to the organization than do the other respondents.

In their board constellation, DMOs support the formation of interlocking directorships through the representation of various stakeholder groups. They increase the concentration of power in favor of a small group (elite), but they can also increase the effectiveness of decisional processes. In so doing, a DMO serves as a valuable platform for leaders in its destination.

This study affords a surprising insight into the difference between the overall image actors have of DMOs and the organizations’ self-images, expressed by the actors affiliated to the organizations – the former is always lower than the latter. The study also clearly demonstrates that the role of an institution largely depends on the actors affiliated to it and hence points to the constantly adapting coordinating role of DMOs within destinations.

A DMO can be seen as an organization constituted by individuals who join and leave its board or its management. This paper proposes an actor-based analysis of these often small, but controversially discussed organizations. We do it with a combination of quantitative measures from network analysis and qualitative information. The alternative perspective (actors of the DMOs inside the elite) and the application of social network analysis for this purpose have not been used in studies before. Further research points to two new research streams, namely, to understanding the role attributed to the DMO by different actors in the destination and the reasons for joining/leaving the organization and the shift of the self-concept of the DMO.

The purpose of this paper is to elucidate the methodology of total interpretive structural modeling (TISM) in order to provide interpretation for direct as well as significant transitive linkages in a directed graph.

This study begins by unfolding the concepts and advantages of TISM. The step-by-step methodology of TISM is exemplified by employing it to analyze the mutual dependence among inhibitors of smartphone manufacturing ecosystem development (SMED). Cross-impact matrix multiplication applied to the classification analysis is also performed to graphically represent these inhibitors based on their driving power and dependence.

This study highlights the significance of TISM over conventional interpretive structural modeling (ISM). The inhibitors of SMED are explored by reviewing existing literature and obtaining experts’ opinions. TISM is employed to classify these inhibitors in order to devise a five-level hierarchical structure based on their driving power and dependence.

This study facilitates decision makers to take required actions to mitigate these inhibitors. Inhibitors (with strong driving power), which occupy the bottom level in the TISM hierarchy, require more attention from top management and effective monitoring of these inhibitors can assist in achieving the organizations’ goals.

By unfolding the benefits of TISM over ISM, this study is an endeavor to develop insights toward utilization of TISM for modeling inhibitors of SMED. This paper elaborates step-by-step procedure to perform TISM and hence makes it simple for researchers to understand its concepts. To the best of the authors’ knowledge, this is the first study that analyzes the inhibitors of SMED by utilizing TISM approach.

Corporate success depends partially on the quality of knowledge accessible to the executive board. One route of access to such knowledge is the appointment of directors who already hold directorships with prominent other corporate actors. Such director appointments provide interlocks to a corporate knowledge ecosystem (Haunschild and Beckman, 1998). The purpose of this paper is to examine how linkages between companies belonging to different sectors impact firm performance and to examine how linkages created by female directors, as opposed to male directors, shape performance.

This paper investigates the interlocks created between UK FTSE 350 companies from 2010 to 2018. It draws on network analysis to map the roles that male and female directors play in linking firms with varying sector classifications. The paper provides an examination of the impact of these roles on firm performance, through a panel data regression analysis.

This paper finds that there is an increase of inter-industry brokers over the period, and that men are still dominant in both the network and creating inter-industry ties amongst companies. However, the role of women in establishing these ties appears to be changing, and women are more important when it comes to create inter-industry ties among key economic sectors.

This paper provides a novel approach to examine the interplay between gendered inter (and intra) sectoral linkages and firm performance. It provides an original application of the two-mode brokerage analysis framework proposed in Jasny and Lubell (2015).

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.

The purpose of this paper is to discuss the rationale and functioning of the partnership-based brokerage model as a vehicle of service integration with special reference to its support for information intermediation, learning and service market creation.

The theoretical framework is built on the tension between New Public Management (NPM) and post-NPM thinking, which frames the analysis of the brokerage model for elderly care services in the city of Tampere, Finland. The empirical data are derived from interviews, evaluation reports and existing case descriptions.

In the Kotitori model, the broker enhances the capacity building of the city government and the cost-effectiveness of its service provision, provides added value through improved information processes and handles matters relating to subcontracting and the facilitation of the service provider network. The model as a whole reflects the hybridisation of public administration. Even if Kotitori contains many NPM-inspired elements, they are complemented by features derived from New Public Governance and the neo-Weberian local state. The most neglected aspect of post-NPM thinking in the design of Kotitori is citizen centredness.

This paper broadens the perspective on the role of brokers in public service provision and highlights the multi-dimensionality of the brokerage function. It also shows how such partnership-based brokerage model reflects various aspects of both NPM and post-NPM paradigm.

A case is made for developing “Relationally Integrated Value Networks for Total Facilities Management” (RIVANS-TFM) by synergistically connecting significant stakeholders of the project management (PM) and facilities management (FM) phases to deliver substantially better value for the end users of built infrastructure. The paper aims to discuss these issues.

A structured questionnaire survey enabled identification of typically significant stakeholders in the PM and FM phases. In total, 14 key stakeholders were identified through t-test analysis in this Sri Lankan study. Semi-structured interviews unveiled relationships among the aforementioned stakeholders and the findings were used to develop the “required” RIVANS-TFM, as well as the “existing” RIVANS-TFM, using the UCINET social network analysis software package. Social network theory of relationships was applied to analyze the networks in terms of “Structural Holes” or missing links and “Brokerage Potentials.”

Structural holes analysis highlighted the existing setup to be more vulnerable to missing links than the “required”/targeted setup. Furthermore, brokerage potentials analysis revealed that owners, project managers, facility managers, maintenance engineers, main contractors, designers, principal consultants, and other specialist consultants can act as “brokers” to bridge the gaps or minimize structural holes, thereby uplifting and reinforcing the existing network to deliver better performance and value in TFM.

By revealing existing and required levels of integration of each stakeholder in RIVANS-TFM, clients are provided a great opportunity to identify the stakeholders who should be engaged more, or less – in order to best achieve clients’ long-term aspirations and project objectives. Furthermore, the findings also indicate appropriate levels of stakeholder relationships to target, in order to maintain efficient flows of information, material and services in the supply chains while enhancing TFM life-cycle values.