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This paper aims to focus on the characteristics of a two-tier network featuring internal subject cooperation and external embedded cooperation in the context of regional innovation systems (RISs) and explore the influence of network characteristics on knowledge emergence.

Using social network analysis, a two-tier internal and external cooperation network of a RIS is constructed. A negative binomial regression method is used to explore the effects of the characteristics of these two-tier internal and external networks on knowledge emergence, the moderating effect of the cooperation knowledge base in this context is investigated and grouping and quantile regressions are used to conduct heterogeneity analysis.

The scale of the internal cooperation network has a positive effect on knowledge emergence, and the betweenness centralization of the internal cooperation network has an inverted U-shaped effect on knowledge emergence. The scale and structural holes of the external embedded network have an inverted U-shaped effect on knowledge emergence. Furthermore, the internal cooperation knowledge base weakens the influence of the external embedded network on knowledge emergence.

This research may enlighten policymakers with respect to improving the scale and structure of the RIS cooperation network and matching the embedded network based on the internal cooperation knowledge base to promote knowledge emergence.

This research contributes to the study of knowledge emergence by exploring the influence of a two-tier network structure and scale characteristics on knowledge emergence in RISs. This paper also extends the framework of relevant research by integrating the internal cooperation knowledge base into the analysis of externally embedded cooperation and knowledge emergence.

Fifth-generation (5G) networks play a significant role in handover methods. 5G wireless network is open, flexible and highly heterogeneous along with the overlay coverage and small cell deployments. Handover management is one of the main problems in the heterogeneous network. Also, handover satisfies the needs of ultra-reliable communications along with very high reliability and availability in 5G networks. Handover management deals with every active connection of a user’s device, which moves the connection between the user’s device and the counterparty from one network point to another. Thus, the handover decision determines the best access network and also decides whether the handover is performed or not.

The main intention of this survey is to review several existing handover technologies in 5G. Using the categories of analysis, the existing techniques are divided into different techniques such as authentication-based techniques, blockchain-based techniques, software-defined-based techniques and radio access-based techniques. The survey is made by considering the methods such as used software, categorization of methods and used in the research works. Furthermore, the handover rate is considered for performance evaluation for the handover techniques in 5G. The drawbacks present in the existing review papers are elaborated in research gaps and issues division.

Through the detailed analysis and discussion, it can be summarized that the widely concerned evaluation metric for the performance evaluation is the handover rate. It is exploited that the handover rate within the range of 91%–99% is achieved by three research papers.

A survey on the various handover mechanisms in 5G networks is expected in this study. The research papers used in this survey are gathered from different sources such as Google Scholar and IEEE. Also, this survey suggests a further extension for the handover mechanism in 5G networks by considering various research gaps and issues.

In this paper, a unique development in a network of small enterprises is presented and discussed. This is the creation of a network of employees that, in the first phase, had a function in parallel with the network of their managers, and which, over time, has led to tighter integration, by means of incorporating more employees in development work. The importance of trust and dialogue will be highlighted as well as the significance of both explicit and tacit knowledge. Finally, attention will be drawn to this network structure as a form of inter‐organisational empowerment of employees. This is an extended and modified version of a conference paper that was written by Marieke Hoekstra, Max Lundberg and Joakim Tell for the 5th Annual International Conference on Post‐compulsory Education and Training, Queensland, Australia, 26‐28th November, 1997.

Non-financial corporate debt is one of the important sources of systematic risk in the real economy. Assessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model.

Assessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model based on four dimensions: concept definition, data structure, risk contagion network construction, and risk measurement indicators construction. We take the Jiangsu bond issuer guarantee network as a sample area.

Taking the Jiangsu bond issuer guarantee network as a sample area, we find that there is a strong correlation between the debts of non-financial corporation in China, and it is easy to become a potential regional systematic risk source. In addition, our empirical research also reveals that external risk exposure and node degree of network are two key indicators when identifying key risk-contagion enterprises.

The main contributions of this study are two-fold. First, this article proposes a two-tier risk contagion networks model to measure systematic risk in non-financial corporation. Second, this article describes the structure of the corporate risk contagion network.

This paper attempts to address three key objectives. The primary aim is to enhance sourcing strategy for a centralized and coordinated multitier multiple suppliers networks with uncertain demand and supplier failure risks. The second objective is to enumerate all possible practical supplier(s) failure scenarios and quantify expected loss of demand cost. Finally, the work illustrates statistical experimentation to identify “influential” variables that can significantly impact the expected supply network and loss costs.

A seven-step solution framework is proposed to derive an optimal sourcing strategy for the specific network configuration with varied supplier failure scenarios. Five distinct models are formulated to address all possible scenarios of supplier failure events. Mixed-integer nonlinear programming technique is used to derive expected supply network cost and loss cost. The solution framework is verified using a real-life case.

A cross-case analysis indicates that an increase in suppliers' failure risk (SFR) probabilities or customer demand rate increases the expected loss of demand costs for a multitier supply network. Besides, an increase in unit component prices increases the expected supply network cost.

A two-tier automotive supply network for a single product is considered for all case studies.

The enhanced strategy can facilitate practitioners enumerate different supply network failure scenarios and implement the best solution.

There is no evidence of earlier research to derive optimal sourcing strategy for a centralized, coordinated multitier multiple supplier's network, considering demand uncertainties and SFR.

The objective of this research is to model supply chain network resilience for low frequency high impact disruptions. The outputs are aimed at providing policy and practitioner guidance on ways to enhance supply chain resilience.

The research models the resilience of New Zealand's log export logistical network. A two-tier approach is developed; linear programming is used to model the aggregate-level resilience of the nation's ports, then discrete event simulation is used to evaluate operational constraints and validate the capacity of operational flows from forests to ports.

The synthesis of linear programming and discrete event simulation provide a holistic approach to evaluate supply chain resilience and enhance operational efficiency. Strategically increasing redundancy can be complimented with operational flexibility to enhance network resilience in the long term.

The two-tier modelling approach has only been applied to New Zealand's log export supply chains, so further applications are needed to insure reliability. The requirement for large quantities of empirical data relating to operational flows limited the simulation component to a single region

New Zealand's log export supply chain has low resilience; in most cases the closure of a port significantly constrains export capacity. Strategic selection of location and transportation mode by foresters and log exporters can significantly enhance the resilience of their supply chains.

The use of a two-tiered analytical approach enhances validity as each level's limitations and assumptions are addressed when combined with one another. Prior predominantly theoretical research in the field is validated by the empirical investigation of supply chain resilience.

Multiple stages of procurement for a product in a supply chain (SC) altogether form a “multi-Tier” supply network. The purpose of this paper is to develop and verify a systematic solution approach to ascertain the realistic cost advantage of a coordinated centralized sourcing strategy as compared to an isolated decentralized sourcing strategy for a multi-tier supply network under demand uncertainty.

The proposed systematic solution approach consists of seven steps to compare and contrast the cost advantage of a centralized coordinated sourcing strategy over a decentralized stage-wise sourcing strategy for a multi-tier supply network. A real-life automotive industry case analysis of two distinct products provides sufficient empirical evidence on the expected cost advantage of centralized coordinated sourcing strategy under demand uncertainty.

The case analysis affirms the practicability of the proposed seven-step solution approach to determine the realistic cost advantage of coordinated sourcing.

The scope of this research is restricted to a single product and two-tier supply network analysis. This research work also considers a restrictive assumption of negligible coordination cost.

The suitability of the proposed solution approach is verified using real-life case examples. This research provides theoretical insights and factual evidence to SC practitioners, so as to adopt a centralized sourcing strategy in a varied manufacturing environment.

There is no evidence of a systematic step-by-step solution approach to determine the cost advantage of a coordinated sourcing strategy over an isolated decentralized sourcing strategy for a multi-tier supply network under demand uncertainty.

Freight network planning and the application of distribution innovations are popular fields of research on sustainable urban logistics. However, considerable research on freight network design lacks a comprehensive consideration of the application of distribution innovations. This observation implies that sustainable urban freight research appears highly fragmented in topics of network design and distribution innovations. From the perspective of long-term planning, this situation possibly serves as a barrier to further promotion of sustainability. The objective of this paper is to analyze existing research gaps of literature to further promote the sustainability of urban logistics systems from a future perspective.

This paper employs a systematic literature review (SLR) method, which covers 164 papers and research works published in 2013–2018. The article corpus involved the innovative schemes of freight network design and the emerging delivery concepts in cities. Based on an analysis of articles' relevance, the most significant research contributions on both city logistics network design and exploitation of distribution innovations are detected.

This paper has found four research gaps in aspects of network design and distribution innovations. To respond to these gaps, we propose the research framework of sustainable and flexible future urban freight planning (SFFUFP) based on trends of city development, while discussing further research direction on urban freight planning.

The authors have found four research gaps in aspects of both urban freight network design and distribution innovations in which scholars could be encouraged to contribute. The research framework of SFFUFP can further promote sustainable urban logistics from a view of future management.

Many European-level networks and regulatory constellations in different sectors (e.g., energy, telecommunications) without clear anchorage into the European Union (EU) institutional landscape have been subject to increasing efforts by the EU institutions to tie them closer to the EU. They are serving increasingly as platforms for preparing EU policy or for implementing EU decisions, which may result in closer institutional bonds with the EU. This chapter aims at examining the differences and similarities between the process towards more EU-integration in two different domains (i.e., telecommunications and patents) and regulatory constellations (i.e., supranational and intergovernmental).

The chapter analyzes the evolution in the European telecommunication sector and the European Patent System and juxtaposes this analysis with the literature on institutionalization, Europeanization of regulatory network-organizations, and multilevel governance (MLG). It focuses on the role of the European Commission and the interaction with the national regulatory agencies (NRAs) and networks within the institutional framework.

Irrespective of the particular regime (intergovernmental/supranational) in a certain domain or sector, a common trend of closer coordination and integration prompted by the Commission is taking place, which triggers a certain resistance by the national bodies regulating that domain. As long as a specific competence is considered instrumental in the creation of the single market, the Commission has strong incentives to strengthen its influence in this field, even if those competences have been regulated through an independent intergovernmental regime.

The dynamic described in this chapter allows us to reflect upon the MLG conception as developed by Marks and Hooghe (2004), which distinguish between two types of MLG. Type I MLG refers to different levels of governments, more specifically to the spread of power along different governmental levels and the interactions between them. Type II MLG refers to jurisdictions that are both task-specific and based on membership that can intersect with each other. They respond to particular problems in specific policy fields (Marks & Hooghe, 2004). Our analysis shows that the increase in coordination and integration are the outcome of both MLG Type II processes (coordination between two issue-specific bodies) and of MLG Type I processes (tensions between two governmental levels). Furthermore, the negotiation dynamics regarding this increased coordination and integration reveal that the tensions typical of MLG Type I took place as a consequence of the increased coordination between Type II bodies. Put differently, multi-level coordination and integration mechanisms in the EU can be seen as both Type I and Type II processes. They combine features of both categories and reveal that their Type I and Type II features are interdependent.

The analysis in this chapter shows a need for further strengthening the MLG Type I and II conceptual framework by balancing the analytical distinction between the two types with developments about how Type I and Type II are often entangled and intertwined with each other rather than separated realities.

The chapter describes and compares the dynamics in the European telecommunications sector and the European patent system with interesting observations for NRAs and the European Commission with respect to coordination and integration.

The original nature of the current chapter relates to the two selected areas and the addition to the literature on MLG.

First, with respect to the areas investigated the dynamics of the European telecommunications sector have been analyzed also by other authors, but the European patent system is an area which is relatively unexplored in terms of governance research. The combination of the two sectors with a detailed analysis of similarities and differences is highly original and generates interesting lessons with respect to coordination and integration in supranational and intergovernmental regimes.

Second, Marks and Hooghe (2004) distinguish between the two types of MLG as if they are two different constructs that are not related to each other. Our cases and argument cover both types of MLG and show the interconnection between the dynamics taking place in the two types of MLG.

Vertical handover has been grown rapidly due to the mobility model improvements. These improvements are limited to certain circumstances and do not provide the support in the generic mobility, but offering vertical handover management in HetNets is very crucial and challenging. Therefore, this paper presents a vertical handoff management method using the effective network identification method.

This paper presents a vertical handoff management method using the effective network identification method. The handover triggering schemes are initially modeled to find the suitable position for starting handover using computed coverage area of the WLAN access point or cellular base station. Consequently, inappropriate networks are removed to determine the optimal network for performing the handover process. Accordingly, the network identification approach is introduced based on an adaptive particle-based Sailfish optimizer (APBSO). The APBSO is newly designed by incorporating self-adaptive particle swarm optimization (APSO) in Sailfish optimizer (SFO) and hence, modifying the update rule of the APBSO algorithm based on the location of the solutions in the past iterations. Also, the proposed APBSO is utilized for training deep-stacked autoencoder to choose the optimal weights. Several parameters, like end to end (E2E) delay, jitter, signal-to-interference-plus-noise ratio (SINR), packet loss, handover probability (HOP) are considered to find the best network.

The developed APBSO-based deep stacked autoencoder outperformed than other methods with a minimal delay of 11.37 ms, minimal HOP of 0.312, maximal stay time of 7.793 s and maximal throughput of 12.726 Mbps, respectively.

The network identification approach is introduced based on an APBSO. The APBSO is newly designed by incorporating self-APSO in SFO and hence, modifying the update rule of the APBSO algorithm based on the location of the solutions in the past iterations. Also, the proposed APBSO is used for training deep-stacked autoencoder to choose the optimal weights. Several parameters, like E2E delay, jitter, SINR, packet loss and HOP are considered to find the best network. The developed APBSO-based deep stacked autoencoder outperformed than other methods with minimal delay minimal HOP, maximal stay time and maximal throughput.