scholarly journals A multi-perspective view of Internet censorship in Myanmar

2021 ◽  
Author(s):  
Ramakrishna Padmanabhan ◽  
Arturo Filastò ◽  
Maria Xynou ◽  
Ram Sundara Raman ◽  
Kennedy Middleton ◽  
...  
2000 ◽  
Author(s):  
H. S. Smallman ◽  
E. Schiller ◽  
M. B. Cowen
Keyword(s):  

2021 ◽  
Vol 13 (6) ◽  
pp. 3418
Author(s):  
Dongwoo Ryu ◽  
Kwang Ho Baek ◽  
Junghyun Yoon

The importance of international markets is constantly emphasized for small and medium enterprises(SMEs). In previous studies, technological innovation capabilities were emphasized as a factor that enables SMEs to compete in the international market. To this end, SMEs need to cooperate with external partners to strengthen their technological innovation capabilities to thus improve their international performance. With the perspective view of open innovation, this research explores the effects of relational capital and technological innovation capability on international performance, with a particular focus on the moderating effect of alliance proactiveness. Building on previous literature regarding internationalization, technological innovation, and alliance proactiveness, research hypotheses were developed and tested using data collected from 175 SMEs. A hierarchical regression analysis was applied. The analysis showed that, first, relational capital had a significant effect on the technological innovation capability. Second, technological innovation capability has a significant influence on the international performance. Third, technological innovation capability mediated the relationship between relational capital and international performance. Finally, alliance proactiveness was found to moderate the relationship between technological innovation capability and international performance. The key research findings imply that relational capital and alliance proactiveness are the key factors of international performance, as they improved the development of the technological innovation capability.


2021 ◽  
pp. 016555152110141
Author(s):  
Nikolai Topornin ◽  
Darya Pyatkina ◽  
Yuri Bokov

The research is devoted to the study of digital protectionism technologies, in particular, Internet censorship as a non-tariff barrier to digital trade and the determination of the strategic motives of states to use them. The reports ‘Freedom on the Net’ and ‘The network readiness index 2020’ acted as a basic data source for the study of modern instruments of government regulation of interactions in the digital environment. Internet censorship technologies have been considered in six countries with varying levels of Internet freedom: Russia, Belarus, Kazakhstan, Georgia, Armenia and Estonia. The key instruments of digital protectionism as a non-tariff barrier of the digital economy have been identified, such as: localisation requirements; restrictions on cross-border data flow; system of national protection of intellectual property rights; discriminatory, unique standards or burdensome testing; filtering or blocking; restrictions on electronic payment systems or the use of encryption; cybersecurity threats and forced technology transfer. Internet censorship technologies have been demonstrated and their influence on the strategic development of trade relations between economies in cyberspace has been determined. The scientific value of the article lies in substantiating the understanding of Internet censorship as a natural tool for regulating the development of a digital society and international trade relations. Each state at one time goes through a technological stage of development, which leads to the emergence of different levels of digital isolation and integration; and Internet censorship is a natural element in the system of building a national platform economy and consolidating the country’s internal technological and innovative advantages in digital realities.


2017 ◽  
Vol 6 (2) ◽  
pp. 245-263 ◽  
Author(s):  
Stephen A. Meserve ◽  
Daniel Pemstein

The expansion of digital interconnectivity has simultaneously increased individuals’ access to media and presented governments with new opportunities to regulate information flows. As a result, even highly democratic countries now issue frequent censorship and user data requests to digital content providers. We argue that government internet censorship occurs, in part, for political reasons, and seek to identify the conditions under which states censor. We leverage new, cross-nationally comparable, censorship request data, provided by Google, to examine how country characteristics co-vary with governments’ digital censorship activity. Within democracies, we show that governments engage in more digital censorship when internal dissent is present and when their economies produce substantial intellectual property. But these demand mechanisms are modulated by the relative influence that democratic institutions provide to narrow and diffuse interests; in particular, states with proportional electoral institutions censor less.


IEEE Spectrum ◽  
2007 ◽  
Vol 44 (11) ◽  
pp. 20-22
Author(s):  
Mark Anderson
Keyword(s):  

Geophysics ◽  
2021 ◽  
pp. 1-34
Author(s):  
Guoqing Ma ◽  
Zongrui Li ◽  
Lili Li ◽  
Taihan Wang

The density inversion of gravity data is commonly achieved by discretizing the subsurface into prismatic cells and calculating the density of each cell. During this process, a weighting function is introduced to the iterative computation to reduce the skin effect during the inversion. Thus, the computation process requires a significant number of matrix operations, which results in low computational efficiency. We have adopted a density inversion method with nonlinear polynomial fitting (NPF) that uses a polynomial to represent the density variation of prismatic cells in a certain space. The computation of each cell is substituted by the computation of the nonlinear polynomial coefficients. Consequently, the efficiency of the inversion is significantly improved because the number of nonlinear polynomial coefficients is less than the number of cells used. Moreover, because representing the density change of all of the cells poses a significant challenge when the cell number is large, we adopt the use of a polynomial to represent the density change of a subregion with fewer cells and multiple nonlinear polynomials to represent the density changes of all prism cells. Using theoretical model tests, we determine that the NPF method more efficiently recovers the density distribution of gravity data compared with conventional density inversion methods. In addition, the density variation of a subregion with 8 × 8 × 8 prismatic cells can be accurately and efficiently obtained using our cubic NPF method, which can also be used for noisy data. Finally, the NPF method was applied to real gravity data in an iron mining area in Shandong Province, China. Convergent results of a 3D perspective view and the distribution of the iron ore bodies were acquired using this method, demonstrating the real-life applicability of this method.


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