Local cluster dynamics: trajectories of mature industrial districts between decline and multiple embeddedness

2006 ◽  
Vol 2 (1) ◽  
pp. 21-44 ◽  
Author(s):  
ANTONELLA ZUCCHELLA
Keyword(s):  
Theoretical Model ◽  
Global Network ◽  
Local Network ◽  
Global Markets ◽  
Industrial Districts ◽  
District Leaders ◽  
Local Cluster ◽  
International Growth ◽  
Global Space ◽  
Special Case

In this study the international trajectories of mature district evolution are investigated as a special case of institutional change, and a theoretical model for their evolution is proposed. This model is based on the idea that international growth and re-positioning represent the fundamental alternative to district sterilization and decline, in a framework where global markets provide the major pressure for change or decline but could also provide new opportunities for renewal. Alternative paths emerge from the combination of trigger events due to globalization and district leaders' behaviour: disembeddedness, re-embeddedness and multiple embeddedness are proposed here as the three main outcomes of mature district evolution. The latter constitutes a new construct introduced in this study in order to explore the possibility that districts relate themselves to global space creating similar systems abroad and/or establishing ties with existing systems, each one representing both a local network and a node of a global network.

The asymmetric effects of local and global network ties on firms’ innovation performance

2018 ◽  
Vol 33 (3) ◽  
pp. 377-389 ◽  
Author(s):  
Lei Wang ◽  
Jun Li ◽  
Shaoqing Huang
Keyword(s):  
Structural Equation ◽  
Network Effects ◽  
Institutional Environment ◽  
Innovation Performance ◽  
Global Network ◽  
Local Network ◽  
Network Ties ◽  
Content Type ◽  
Asymmetric Effects ◽  
Absorptive Capacities

Purpose The purpose of this paper is to develop and empirically test a theoretical framework examining how local network ties and global network ties affect firms’ innovation performance via their absorptive capacities. Design/methodology/approach The conceptual framework is empirically tested in a field study with multi-source data collected from a sample of 297 manufacturing firms located in four. Manufacturing clusters in the south-eastern Yangtze River Delta of China. Hypotheses were tested with the use of path analysis with maximum likelihood robust estimates through the structural equation modelling approach. Findings The asymmetry between local network ties (LNT) and global network ties (GNT) in terms of influences on firms’ innovation performance is confirmed by empirical tests. LNT not only significantly and positively contribute to firms’ innovation performance directly but also enhance it indirectly via absorptive capability, whereas GNT exhibit only marginal influence on innovation performance. GNT are shown to boost innovation performance (IP) only indirectly via firms’ absorptive capacities. Knowledge heterogeneity and the difference between domestic and multinational firms’ institutional environment are considered to be the main causes of the asymmetric effects. Originality/value While the previous literature either focused on the mediating role of firms’ knowledge absorptive capacities or investigated the effects of social networks separately, this study incorporates both mechanisms into a single analytical framework to better account for the interactions between network effects and absorptive capacities. The results challenge some previous studies positing that GNT are stronger determinants than LNT in shaping a local firm’s innovation capacity in emerging economies, and the findings emphasize the importance of absorptive capacity in helping local enterprises to leverage external linkages to enhance firm’s innovation performance.

scholarly journals GLIDE: combining local methods and diffusion state embeddings to predict missing interactions in biological networks

2020 ◽  
Vol 36 (Supplement_1) ◽  
pp. i464-i473
Author(s):  
Kapil Devkota ◽  
James M Murphy ◽  
Lenore J Cowen
Keyword(s):  
Network Structure ◽  
Biological Networks ◽  
Link Prediction ◽  
Prediction Method ◽  
Global Network ◽  
Local Network ◽  
Supplementary Information ◽  
Network Data ◽  
Ppi Network ◽  
Diffusion State

Abstract Motivation One of the core problems in the analysis of biological networks is the link prediction problem. In particular, existing interactions networks are noisy and incomplete snapshots of the true network, with many true links missing because those interactions have not yet been experimentally observed. Methods to predict missing links have been more extensively studied for social than for biological networks; it was recently argued that there is some special structure in protein–protein interaction (PPI) network data that might mean that alternate methods may outperform the best methods for social networks. Based on a generalization of the diffusion state distance, we design a new embedding-based link prediction method called global and local integrated diffusion embedding (GLIDE). GLIDE is designed to effectively capture global network structure, combined with alternative network type-specific customized measures that capture local network structure. We test GLIDE on a collection of three recently curated human biological networks derived from the 2016 DREAM disease module identification challenge as well as a classical version of the yeast PPI network in rigorous cross validation experiments. Results We indeed find that different local network structure is dominant in different types of biological networks. We find that the simple local network measures are dominant in the highly connected network core between hub genes, but that GLIDE’s global embedding measure adds value in the rest of the network. For example, we make GLIDE-based link predictions from genes known to be involved in Crohn’s disease, to genes that are not known to have an association, and make some new predictions, finding support in other network data and the literature. Availability and implementation GLIDE can be downloaded at https://bitbucket.org/kap_devkota/glide. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Optimisation of Ecological Leisure Industrial Planning Based on Improved GIS-AHP: A Case Study in Shapingba District, Chongqing, China

2019 ◽  
Vol 12 (1) ◽  
pp. 33 ◽  
Author(s):  
Tongyun Du ◽  
Henrik Vejre ◽  
Christian Fertner ◽  
Pengcheng Xiang
Keyword(s):  
River System ◽  
Global Network ◽  
Local Network ◽  
Analytic Hierarchy ◽  
Scenic Spot ◽  
Suitability Index ◽  
Artificial Environment ◽  
Industrial Planning ◽  
Leisure Industry ◽  
Industry Area

This study seeks a scientific methodology for ecological leisure industry planners to contribute to a more ecologically friendly leisure industry. This study creates an environment suitability model (LIDES) for leisure industry development. This model sees the natural ecological environment as just as important as the artificial environment. This study identifies the following factors: suitable land, unsuitable land, park plaza, scenic spot, river system, global network reachability, local network reachability, business impact, industrial impact. The Spatial Syntax method is used to account for effects of the urban road network. This method is incorporated into a geographic information system-analytic hierarchy process (GIS-AHP) approach, thus developing this method further. The method is demonstrated in the leisure industry in Shapingba District of Chongqing, China. The final suitability index map for ecological leisure industry is divided into four types: highly suitable, moderately suitable, marginally suitable, and low suitability areas. As a result, 8.08% (42.55 km2) of the study area has low suitability, 82.61% (435.15 km2) has marginal suitability, 8.62% (45.42 km2) has moderate suitability and 0.69% (3.65 km2) has the best suitability for creating an ecological leisure industry area. Discussion and relevant suggestions are given for further research.

scholarly journals Influence of the composition gradient on the propagation of heat pulses in functionally graded nanomaterials

2019 ◽  
Vol 475 (2221) ◽  
pp. 20180499 ◽  
Author(s):  
B.-Y. Cao ◽  
M. Di Domenico ◽  
B.-D. Nie ◽  
A. Sellitto
Keyword(s):  
Theoretical Model ◽  
Heat Transport ◽  
Functionally Graded ◽  
Thin Layers ◽  
Composition Gradient ◽  
Graded Materials ◽  
Heat Transport Equation ◽  
Acceleration Waves ◽  
Heat Pulses ◽  
Special Case

A theoretical model to describe heat transport in functionally graded nanomaterials is developed in the framework of extended thermodynamics. The heat-transport equation used in our theoretical model is of the Maxwell–Cattaneo type. We study the propagation of acceleration waves in functionally graded materials (FGMs). In the special case of functionally graded Si 1− c Ge c thin layers, we point out the influence of the composition gradient on the propagation of heat pulses. A possible use of heat pulses as exploring tool to infer the inner composition of FGMs is suggested.

Research on Roll Force for Variable Gauge Rolling

2011 ◽  
Vol 418-420 ◽  
pp. 1232-1236 ◽  
Author(s):  
Guang Ji Zhang ◽  
Xiang Hua Liu
Keyword(s):  
Differential Equation ◽  
Distribution Function ◽  
Theoretical Model ◽  
Pressure Distribution ◽  
Rolling Force ◽  
Roll Force ◽  
Variable Gauge Rolling ◽  
Tailor Rolled Blanks ◽  
Special Case ◽  
Force Equilibrium

The production of materials saving products such as Longitude Profile plates (LP plate) and Tailor Rolled Blanks (TRB) needs to solve the problem of the calculation of variable gauge rolling (VGR) parameters. It has been proved that Karman differential equation of force equilibrium for simple rolling is a special case of VGR equations when vy＝0. Differential equations of force equilibrium for both upwards rolling and downwards rolling were solved and the rolling pressure distribution function for VGR was got in this paper. Finally, details of a set of experiments were presented and the theoretical model of rolling force was proved to be reasonable.

scholarly journals Network marketing- reality, myth, dream or a success mechanism: a review

2013 ◽  
Vol 1 (1) ◽  
pp. 119-125
Author(s):  
Jiwan Jyoti
Keyword(s):  
Human Resources ◽  
Marketing Strategies ◽  
The Other ◽  
Global Markets ◽  
The Internet ◽  
Network Marketing ◽  
Internet Age ◽  
Pyramid Scheme ◽  
Multi Level ◽  
Special Case

As the Business Enviornment become more and more competetive, companies are forced to push themselves to very edge of their capabilities. Ultimately the success of companies relies on their human resources and business and marketing strategies wich can help them to show up in global markets. So Network Marketing has become increasingly used method in order to ehance the small and large logistic companies performance. Multi-level marketing is a marketingapproach that motivates its participants to promote a certain product among their friends. The popularity of this approach increases due to the accessibility of modern social networks, however, it existed in one form or the other long before the Internet age began (the infamous Pyramid scheme that dates back at least a century is in fact a special case of multi-level marketing). The India Direct Selling Association (IDSA) has projected that the network marketing industry will be around Rs 9000 crores by 2013 end.The purpose of this paper is to provide better understanding of how Network Marketing is used as Marketing strategy andtool to develop logistic companies business in new millennium. The idea is to seek roots in localised practices in rapidly unfolding globalisation and thus paving the way for ―globalisation‖.

scholarly journals ЕARTHQUAKE NEAR CRILLON CAPE on NOVEMBER 25th, 2013 with Mw=5.2, I0=6–7 (Sakhalin Island)

2019 ◽  
pp. 466-476 ◽  
Author(s):  
E. Semenova ◽  
D. Safonov ◽  
T. Fokina
Keyword(s):  
Water Area ◽  
Sakhalin Island ◽  
Global Network ◽  
Local Network ◽  
Seismic Model ◽  
Regional Network ◽  
The South ◽  
Earthquake Parameters ◽  
Seismic Stations ◽  
Field Stations

On November 25, 2013, at 03:23 UTC, an earthquake with a magnitude of МwGCMT=5.2 was recorded in the Laperuz Strait water area. This earthquake was the strongest in the south of Sakhalin Island in 2013. Parameters of the earthquake have been determined by data of seismic stations of the regional network of GS RAS Sa-khalin branch, seismic stations of global network IRIS (GSN) and Hokkaido University. Earthquake parameters on data of regional network are in accordance with data of the international seismological centers. The intensity of concussions in some areas of Sakhalin was 4–5 points on a scale of MSK-64 and 3 points on the JMA scale on the island of Hokkaido. The focus shift has happened under conditions of close horizontal compression, seismodislocation type – uplift. The earthquake of 2013 has arisen in the place of regional tec-tonic structures contact – breaks of West Sakhalin and Central Sakhalin. The seismic model was described by data of local network of field stations. Results of observations of an earthquake on November 25, 2013 are written in this article.

scholarly journals Research on Distributed Data Sharing System based on Internet of Things and Blockchain

2021 ◽  
Vol 9 (3) ◽  
pp. 239-254
Author(s):  
Enchang Sun ◽  
Kang Meng ◽  
Ruizhe Yang ◽  
Yanhua Zhang ◽  
Meng Li
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Data Storage ◽  
Network Architecture ◽  
Data Privacy ◽  
Distributed Storage ◽  
Global Network ◽  
Local Network ◽  
Network Data ◽  
Distributed Data

Abstract Aiming at the problems of the traditional centralized data sharing platform, such as poor data privacy protection ability, insufficient scalability of the system and poor interaction ability, this paper proposes a distributed data sharing system architecture based on the Internet of Things and blockchain technology. In this system, the distributed consensus mechanism of blockchain and the distributed storage technology are employed to manage the access and storage of Internet of Things data in a secure manner. Up to the physical topology of the network, a hierarchical blockchain network architecture is proposed for local network data storage and global network data sharing, which reduces networking complexity and improves the scalability of the system. In addition, smart contract and distributed machine learning are adopted to design automatic processing functions for different types of data (public or private) and supervise the data sharing process, improving both the security and interactive ability of the system.

scholarly journals Connection strength of the macaque connectome augments topological and functional network attributes

2019 ◽  
Vol 3 (4) ◽  
pp. 1051-1069 ◽  
Author(s):  
Siemon C. de Lange ◽  
Dirk Jan Ardesch ◽  
Martijn P. van den Heuvel
Keyword(s):  
Functional Organization ◽  
Kuramoto Model ◽  
Global Network ◽  
Local Network ◽  
Network Clustering ◽  
Connection Strength ◽  
Rich Club ◽  
Specific Distribution ◽  
Binary Network ◽  
Connectivity Strength

Mammalian brains constitute complex organized networks of neural projections. On top of their binary topological organization, the strength (or weight) of these neural projections can be highly variable across connections and is thus likely of additional importance to the overall topological and functional organization of the network. Here we investigated the specific distribution pattern of connection strength in the macaque connectome. We performed weighted and binary network analysis on the cortico-cortical connectivity of the macaque provided by the unique tract-tracing dataset of Markov and colleagues (2014) and observed in both analyses a small-world, modular and rich club organization. Moreover, connectivity strength showed a distribution augmenting the architecture identified in the binary network version by enhancing both local network clustering and the central infrastructure for global topological communication and integration. Functional consequences of this topological distribution were further examined using the Kuramoto model for simulating interactions between brain regions and showed that the connectivity strength distribution across connections enhances synchronization within modules and between rich club hubs. Together, our results suggest that neural pathway strength promotes topological properties in the macaque connectome for local processing and global network integration.

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