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The financial turbulence resulting from the global financial crisis sparked the interest in improving understanding of financial risks. The transmission of financial institution failures can be determined from the prevailing network structures between banks. The purpose of this study is to identify relationship between payment system network characteristics and financial system condition.

The characteristics of the interbank network structure in the payment system are identified using a graph theory and the relationship between the network characteristics of interbank transactions in the payment system and financial system stability is examined using a vector auto regression model.

This study shows that the connectedness of large-value payment transaction is more segmented compared to that of retail value payments. A significant relationship is observed between the characteristics of the network and the large-value payment transactions.

This study found the connectedness of large-value transactions is more segmented when compared to retail-value transactions. It also shows a causal effect of the network characteristic on the financial system stability.

Unlike existing studies, this study considers both the connectedness in large-value transactions and retail-value transactions.

The study here examines how business actors adapt to changes in networks by analyzing their perceptions or their network pictures. The study is exploratory or iterative in the sense that revisions occur to the research question, method, theory, and context as an integral part of the research process.

Changes within networks receive less research attention, although considerable research exists on explaining business network structures in different research traditions. This study analyzes changes in networks in terms of the industrial network approach. This approach sees networks as connected relationships between actors, where interdependent companies interact based on their sensemaking of their relevant network environment. The study develops a concept of network change as well as an operationalization for comparing perceptions of change, where the study introduces a template model of dottograms to systematically analyze differences in perceptions. The study then applies the model to analyze findings from a case study of Norwegian/Japanese seafood distribution, and the chapter provides a rich description of a complex system facing considerable pressure to change. In-depth personal interviews and cognitive mapping techniques are the main research tools applied, in addition to tracer studies and personal observation.

The dottogram method represents a valuable contribution to case study research as it enables systematic within-case and across-case analyses. A further theoretical contribution of the study is the suggestion that network change is about actors seeking to change their network position to gain access to resources. Thereby, the study also implies a close relationship between the concepts network position and the network change that has not been discussed within the network approach in great detail.

Another major contribution of the study is the analysis of the role that network pictures play in actors' efforts to change their network position. The study develops seven propositions in an attempt to describe the role of network pictures in network change. So far, the relevant literature discusses network pictures mainly as a theoretical concept. Finally, the chapter concludes with important implications for management practice.

This chapter examines key drivers of variation in adaptive capacity of project network organizations (PNOs). PNOs are defined as strategically coordinated sets of longer-term, yet project-based relationships, which provide for both stability and change in volatile project businesses. While prior research has emphasized the adaptive role of flexible structures and agency, the author focuses on the role of project variety and contextual embedding and disembedding in building adaptive capacity. Comparing two PNOs in TV movie production, the author argues that differences in adaptive capacity are a function of inter-context connectivity, that is, the level of task and team linkages among diverse project contexts, and the degree to which network ties and relational practices have “dual quality” in being valuable both within and beyond specific project contexts. Findings have important implications for project, network, and organization research.

Social entrepreneurs innovatively exploit opportunities and create, in this way, social change and value by bringing together different resources to meet social needs and solve social problems. To achieve this, given their limited size and financial resources, the personal ties and social networks that social entrepreneurs build in this process play a crucial role in developing relationships and enabling their ventures to succeed. The purpose of this paper is to examine the role of network processes in innovative activities carried out by social entrepreneurs and to stress the importance of network processes rather than network structure/design for social innovation.

“Çöp(m)adam” (Garbage Ladies), a social development project and business in Ayvalik, Turkey (which aims to provide opportunities for women who have never had the chance to work and earn regular salaries in the course of their lifetimes), was explored qualitatively as a case study within the framework of the network orchestration theory. In-depth, semi-structured interviews and observations were conducted. Relevant documents about Çöp(m)adam were also collected at the time of the interview to provide the triangulation of reference material for thematic analysis and post-research inquiry.

It has been found that Çöp(m)adam dynamically manages the network process in the course of realizing social innovation and builds a win-win environment that creates value both for the future of the social enterprise and for all the actors in the network by integrating the relationships among the actors it is in a relationship with.

In contrast to traditional studies dealing with the network theory, this research focuses on network processes rather than network structure. Also, since the literature provides evidence for profit-based organizations, the study differentiates into two main reasons. First, the authors adopt a case study approach in social entrepreneurship for social value creation, and second, based on the case study, the authors provide a conceptual enrichment through proposing the sub-categories of knowledge mobility, innovation appropriability and network stability in orchestration processes. This paper seeks to broaden the existing understanding of how social entrepreneurial processes and innovative outcomes are shaped by social networks and orchestration processes in a network-centric innovation from the viewpoint of a hub/focal firm by undertaking research on a less examined type of enterprise and context – namely, a social entrepreneurial venture in Turkey.

MNEs can usefully be conceptualized as intraorganizational networks; structurally, they often resemble loosely coupled systems. With subsidiaries possessing assets, resources, and capabilities crucial to the worldwide network, management by fiat is unlikely to be effective, and an integration of headquarters/subsidiary perspectives is necessary. Yet the MNE literature is surprisingly silent on the who, what, and how of such integration. This paper introduces the notion of “orchestration” and suggests that high performance requires headquarters to effectively manage the orchestration processes of mobilizing resources, appropriating value, and ensuring global network stability. Research propositions are developed and managerial implications are discussed.

From a financial stability viewpoint, this paper aims to study cyclical interdependencies arising from the cross-holding of securities in the Colombian financial system.

Cross-holding of securities in financial systems occurs when two financial institutions hold securities issued by each other or when more than two financial institutions hold securities issued by each other in a circular structure. Securities cross-holding is key for financial stability because of potential contagion arising from cyclical interdependencies in the connective architecture of financial systems. The presence of cyclical interdependencies is studied based on network analysis. The data set is a multilayer network that comprises bonds, certificates of deposit and equity issued and held by Colombian financial institutions from 2016 to 2019.

Results show that the extent of securities’ cyclical interdependencies is particularly low and stable – even when cross-holding across different types of securities is considered.

The monetary value of exposures and their size with respect to financial institutions’ balance sheets are not considered. Studying the impact on the financial system’s solvency is a compulsory research path.

The network topology suggests that increased potential contagion by cyclical interdependencies and feedback effects from securities cross-holding is rather limited.

To the best of the authors’ knowledge, this is the first time that cyclical interdependencies arising from the securities cross-holding are studied. From a financial stability perspective, the methodology is general and promising for monitoring and analytical purposes.

To solve the above problems and ensure the stability of the ad hoc network node topology in the process of wireless signal transmission, this paper aims to design a robust adaptive sliding film fault-tolerant controller under the nonlinear distortion of signal transmission in an amorphous flat air-to-ground wireless ad hoc network system.

This paper designs a robust adaptive sliding film fault-tolerant controller under the nonlinear distortion of signal transmission in an amorphous flat air-to-ground wireless ad hoc network system.

The simulation results show that the amorphous flat wireless self-organizing network system has good nonlinear distortion fault-tolerant correction ability under the feedback control of the designed controller, and the system has the asymptotically stable convergence ability; the test results show: the node topology of the self-organizing network structural stability is significantly improved, which provides a foundation for the subsequent realization of long-distance transmission of ad hoc network nodes.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further.

The controller can extract the fault information caused by nonlinear distortion in the wireless signal transmission process, and at the same time, its feedback matrix K can gradually converge the generated wireless signal error to zero, to realize the stable transmission of the wireless signal.

The purpose of this paper is to help better understand the translation process of the management control system (MCS) of privatised solid waste management (SWM) towards creating a stable network.

Drawing on the actor network theory (ANT), the case of a privatised SWM was studied. Data were collected from all entities involved in the privatisation process of SWM, which include Department A, Corporation X and the private sector concessionaire. Six documents were reviewed, 20 interviews were conducted and two observations were carried out.

The findings reveal that the control mechanism of SWM is complex, involving the interaction between human and non-human actors. Non-human actors include the key performance indicators (KPIs) and the concessionaire agreement (CA), which are the main control mechanisms towards creating a stable SWM network. Essentially, stability is achieved when the KPIs and CA can influence the activities of both intra- and inter-organisational relationships.

This paper provides a better understanding of the translation process of the MCS that adds to the stability of the network of a privatised SWM from the lens of the ANT.

The purpose of this paper is to study the dynamic behavior of complex-valued switched grey neural network models (SGNMs) with distributed delays when the system parameters and external input are grey numbers.

Firstly, by using the properties of grey matrix, M-matrix theory and Homeomorphic mapping, the existence and uniqueness of equilibrium point of the SGNMs were discussed. Secondly, by constructing a proper Lyapunov functional and using the average dwell time approach and inequality technique, the robust exponential stability of the SGNMs under restricted switching was studied. Finally, a numerical example is given to verify the effectiveness of the proposed results.

Sufficient conditions for the existence and uniqueness of equilibrium point of the SGNMs have been established; sufficient conditions for guaranteeing the robust stability of the SGNMs under restricted switching have been obtained.

(1) Different from asymptotic stability, the exponential stability of SGNMs which include grey parameters and distributed time delays will be investigated in this paper, and the exponential convergence rate of the SGNMs can also be obtained; (2) the activation functions, self-feedback coefficients and interconnected matrices are with different forms in different subnetworks; and (3) the results obtained by LMIs approach are complicated, while the proposed sufficient conditions are straightforward, which are conducive to practical applications.

Few papers address innovation activities among tourism entities. The purpose of this paper is to elucidate the extent to which the theoretical framework of network orchestration can explain the system of relations underlying roles and behaviors of tourism actors in collaborative innovation settings.

Using interview data collected from destination management organizations and their destination partners within two polar-sampled North American destinations, this study identifies relationships which underlie the behaviors of tourism and hospitality actors engaged in collaborative innovative activities. To understand these relationships, this study abductively imposes the emergent theoretical framework of network orchestration and offers practical implications for conducting successful innovation among tourism collaborators.

First, orchestration of knowledge mobility processes in collaborative innovation settings is associated with trust, perceived fairness and the search for experts within the network. Second, orchestration of innovation appropriability processes is associated with forging shared ownership and knowledge exchange with “dissimilar” partners. Third, orchestration of network stability processes is associated with enhancing the reputation of influential actors within the tourism destination, and shared visioning of future innovation outcomes.

This paper contributes to the collaborative innovation landscape by testing the emerging theoretical framework of network orchestration and proposing practical implications for hospitality and tourism actors engaged in innovative activities. The research further demonstrates the value of abductive reasoning for elucidating theory from interview evidence and proposes a model for future studies on collaborative innovation networks.