Antitrust Regulation Trends of Big Data Trading in China

2018 ◽  
Vol 34 (4) ◽  
pp. 297-319
Author(s):  
Hanwen Guo ◽  
Dongwon Lee
2021 ◽  
Vol 15 (2) ◽  
pp. 19-28
Author(s):  
Alexander I. Kovalenko ◽  

The article is devoted to the issue of applying the Essential Facilities Doctrine to big data for the purpose of antitrust regulation of digital markets. The concept of big data is revealed, which currently does not have a normative legal fixation in the legislation of the Russian Federation. The article identifies the difference between big data and regular data, between the organizational, managerial, economic and legal content of these phenomena of the digital age. Based on the analysis of scientific publications, law enforcement and judicial practice of antimonopoly agencies of foreign countries and Russia, the author systematizes the directions of using big data in competition in digital markets. The article also reveals the content of the doctrine of essential facilities in competition law. The author describes the key ideas of the scientific discussion on the application of the doctrine of essential facilities to big data. The article contains author’s suggestions and recommendations for the correct division of the complex of big data technology into competitive (AI) and infrastructure (data sets) components. If necessary, the doctrine of essential facilities can be extended to computing power, server data storage, data sets (in an unstructured form) of digital giants. The author believes that applying the doctrine of essential facilities to big data can eliminate the abuse of dominance by tech giants. But the application of the doctrine of essential facilities is not able to systematically change the state of affairs in digital markets. In order to remove the incentives of Internet giants to abuse dominance with the help of big data, it is necessary to separate from the Internet giants business units, that would exclusively provide non-discriminatory access to Big Data management services. And the competencies associated with the development and application of big data analytics (AI) technologies should be assigned to business units, that would compete in derivative digital markets independently.


2020 ◽  
Vol 2020 (6) ◽  
pp. 3-22
Author(s):  
Andrey Shastiko ◽  
Olga Markova ◽  
Anna Meleshkina ◽  
Anton Morozov

Big data includes information about the characteristics of individual consumers, which allows sellers to individualize price (and not only) offers in such a way as to consider a willingness to pay of individual buyers or groups of buyers. The essential issues discussed in this paper are: the presence / absence of a specific research field through the lens of the coordination and distribution effects of individualized pricing; the existence of the basis for a special regime of antitrust regulation, as well as the related set of issues in the field of economic analysis of law.


ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  

Find Out About 'Big Data' to Track Outcomes


2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.


2017 ◽  
Vol 225 (3) ◽  
pp. 287-288
Keyword(s):  

An associated conference will take place at ZPID – Leibniz Institute for Psychology Information in Trier, Germany, on June 7–9, 2018. For further details, see: http://bigdata2018.leibniz-psychology.org


PsycCRITIQUES ◽  
2014 ◽  
Vol 59 (2) ◽  
Author(s):  
David J. Pittenger
Keyword(s):  

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