scholarly journals A Study of Rank Defect and Network Effect in Processing the CMONOC Network on Bernese

2018 ◽  
Vol 10 (3) ◽  
pp. 357 ◽  
Author(s):  
Weiwei Wu ◽  
Jicang Wu ◽  
Guojie Meng
Keyword(s):  
Network Effect ◽  
Rank Defect

Principles for sharing economy formation in the digital society

2020 ◽  
Vol 16 (5) ◽  
pp. 800-821
Author(s):  
E.V. Popov ◽  
K.A. Semyachkov
Keyword(s):  
Network Effects ◽  
Sharing Economy ◽  
Network Effect ◽  
Industrial Society ◽  
Economic Activities ◽  
Digital Platforms ◽  
Digital Society ◽  
Modern Economy ◽  
Characteristic Features ◽  
The Impact

Subject. The article addresses economic relations that are formed in various areas of economic application of digital platforms. The target of the research is the modern economy of digital platforms across different economic activities. Objectives. The aim is to systematize principles for share economy formation in the context of the digital society development. Methods. We employ general scientific methods of research. Results. The study shows that the development of digital platforms is one of the most important trends in the development of the modern economy. We classified certain characteristic features of modern digital platforms, analyzed principles for their creation. The paper emphasizes that the network effects achieved through the use of digital platforms are an important factor in the development of the share economy. The network effect describes the impact of the number of the platform users on the value created for each of them. The paper also considers differences in the organization of traditional economy companies and companies that are based on the digital platform model, reveals specifics of changes in socio-economic systems caused by the development of digital platforms, systematizes principles of the sharing economy formation in the context of the digital society development. Conclusions. The analyzed principles for sharing economy development on the basis of digital platforms can be applied to create models for the purpose of forecasting the transformation of economic activity in the post-industrial society.

The Network Effect of Privacy Choices

2015 ◽  
Vol 43 (3) ◽  
pp. 59-62 ◽  
Author(s):  
Arthi Ramachandran ◽  
Augustin Chaintreau
Keyword(s):  
Network Effect

Network effect in shared supply chain platform value co-creation behavior in evolutionary game1

2021 ◽  
pp. 1-12
Author(s):  
Zou Xiaohong ◽  
Chen Jinlong ◽  
Gao Shuanping
Keyword(s):  
Boundary Condition ◽  
Supply Chain ◽  
Large Scale ◽  
Simulation Analysis ◽  
Supply And Demand ◽  
Evolutionary Game ◽  
Dynamic Game ◽  
Network Effect ◽  
Chain Model ◽  
The Cost

The shared supply chain model has provided new ideas for solving contradictions between supply and demand for large-scale standardized production by manufacturers and personalized demands of consumers. On the basis of a platform network effect perspective, this study constructs an evolutionary game model of value co-creation behavior for a shared supply chain platform and manufacturers, analyzes their evolutionary stable strategies, and uses numerical simulation analysis to further verify the model. The results revealed that the boundary condition for manufacturers to participate in value co-creation on a shared supply chain platform is that the net production cost of the manufacturers’ participation in the platform value co-creation must be less than that of nonparticipation. In addition, the boundary condition for the shared supply chain platform to actively participate in value co-creation is that the cost of the shared supply chain platform for active participation in value co-creation must be less than that of passive participation. Moreover, value co-creation behavior on the shared supply chain platform is a dynamic game interaction process between players with different benefit perceptions. Finally, the costs and benefits generated by the network effect can affect value co-creation on shared supply chain platforms.

Inter-city transport infrastructure and intra-city housing markets: Estimating the redistribution effect of high-speed rail in Shenzhen, China

Urban Studies ◽  
2021 ◽  
pp. 004209802110178 ◽  
Author(s):  
Zheng Chang ◽  
Mi Diao
Keyword(s):  
Travel Time ◽  
High Speed ◽  
Local Effect ◽  
Transport Infrastructure ◽  
Network Effect ◽  
Housing Values ◽  
High Speed Rail ◽  
The City ◽  
Redistribution Effect ◽  
Metro Network

This study analyses the changes in intra-city housing values in response to improved inter-city connection brought by high-speed rail (HSR), using the opening of the Hangzhou–Fuzhou–Shenzhen Passenger Dedicated Line (HFSL) in Shenzhen, China, as an example. The opening of the HFSL and its integration into the local metro network at Shenzhen North Station provide exogenous intra-city variations in access to the surrounding economic mass. With a difference-in-differences approach, we find that the HFSL showed a negative local effect as housing values declined by 11.5%–13.3% in the proximity of Shenzhen North Station relative to areas further from the station after the opening, possibly due to the negative externalities of the HFSL. The HFSL effect can spread along the metro network and lead to, on average, a 7% appreciation of housing values around metro stations (network effect). The direction and strength of the network effect vary by metro travel time between Shenzhen North Station and metro stations. Housing values decreased by 7.7% around metro stations within 5–15 minutes of metro travel time but increased by 63.6%, 16.6% and 29.2% around metro stations within 15–25, 25–35 and 35–45 minutes of metro travel time to Shenzhen North Station, respectively. The HFSL effect on housing values diminishes when the rail travel time is above 45 minutes. We interpret these findings as evidence of the redistribution effect in the city related to HSR connection.

The Network Effect of Arts Incubators

2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Stan Renard ◽  
Gianluca Zanella
Keyword(s):  
Program Directors ◽  
Network Effect ◽  
Education Programs ◽  
Academic Field ◽  
University Programs ◽  
Arts Administrators ◽  
Entrepreneurial Training ◽  
Complex Phenomena

Although there has been a proliferation of metrics to evaluate arts incubators, the academic field is still developing. Different models and methods of education are applied to the complex phenomena of arts incubators; therefore, it is crucial to measure the effectiveness of education programs from many different perspectives. Our aim is to propose a metric that can estimate the effect of each incubator activity based on the geospatial distribution of its participants. This GIS-based metric will provide a descriptive measure for the quantity and density of the geographical communities affected by the incubator’s activity as well as a socio-economic and demographic benchmarks. Our study investigates 14 US-based arts incubators that offer entrepreneurial training to their associated 1,087 incubatees. The goal of this study is to provide a metric that can assist arts incubators, program directors, arts administrators, and university programs assess program growth as well as funding and marketing efforts.

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