Research on consumers’ protection in advantageous operation of big data brokers

Nie, Yingzhi; Han, Xiongzhe

doi:10.1007/s10586-018-1837-4

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…Следующим инструментом защиты инвесторов, основанным на теории поведенческого подталкивания, выступает повышение финансовой грамотности граждан (Nie & Han, 2019). В Китае он реализован отлично от США.…”

Section: результаты исследованияunclassified

Protecting the interests of a retail investor i n the United States, China and Russia: the example of brokerage

Biktashev

2022

Vestn. Ross. univ. družby nar., Ser. Ûrid. nauki

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The main objectives in regulating brokerage activities are to ensure the interests of brokers clients while minimizing the regulatory burden. At the moment, in connection with the flow of households assets to the securities market, the Bank of Russia is actively developing direct tools to protect the interests of investors, including the mechanism for qualifying investors. However, its effectiveness is questioned by the expert and professional community. To assess the results of the use of direct and indirect regulatory instruments aimed at protecting retail investors, a comparative analysis of the regulatory policy in this area in countries with the most developed financial markets was carried out. Based on the results of the analysis of regulation in the United States and China, it was established that they used tools of both direct and indirect regulatory impact. Despite the differ-ences in regulation in both cases, the emphasis in regulation is placed on indirect measures of influence. Direct bans on access to financial instruments for certain categories of investors in the countries under consideration are not applied. It was also noted that despite applying certain measures in Russia, similar to the indirect regulation in the United States and China, their implementation is often sufficient, which reduces their effectiveness.

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Section: результаты исследованияunclassified

Protecting the interests of a retail investor i n the United States, China and Russia: the example of brokerage

Biktashev

2022

Vestn. Ross. univ. družby nar., Ser. Ûrid. nauki

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“…The Data Trading Alliance proposed a data trading model that involved three stakeholders: the data provider, the data user, and the data trading market service provider [29]. There has also been research on legal protection between consumers and big data brokers [30,31]. For leading data collaborations, the Innovators' Marketplace on Data Jackets provides a framework for discussion among stakeholders, specifically, data holders, users, and analysts [32].…”

Section: Relevant Studiesmentioning

confidence: 99%

Structural Characteristics of Stakeholder Relationships and Value Chain Network in Data Exchange Ecosystem

Hayashi

Ishimura²,

Ohsawa

2021

IEEE Access

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“…Therefore, we made several assumptions in order to understand and discuss data matching in the data market. First, in addition to data providers and users, there are several other stakeholders, such as data brokers and analysts [19,[28][29][30]. Although there is a matching problem considering two or more players [31], for the sake of simplicity, we only considered the matching between the data providers and users.…”

Section: Introductionmentioning

confidence: 99%

TEEDA: An Interactive Platform for Matching Data Providers and Users in the Data Marketplace

Hayashi

Ohsawa

2020

Information

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Improvements in Web platforms for data exchange and trading are creating more opportunities for users to obtain data from data providers of different domains. However, the current data exchange platforms are limited to unilateral information provision from data providers to users. In contrast, there are insufficient means for data providers to learn what kinds of data users desire and for what purposes. In this paper, we propose and discuss the description items for sharing users’ calls for data as data requests in the data marketplace. We also discuss structural differences in data requests and providable data using variables, as well as possibilities of data matching. In the study, we developed an interactive platform, named “treasuring every encounter of data affairs” (TEEDA), to facilitate matching and interactions between data providers and users. The basic features of TEEDA are described in this paper. From experiments, we found the same distributions of the frequency of variables but different distributions of the number of variables in each piece of data, which are important factors to consider in the discussion of data matching in the data marketplace.

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Research on consumers’ protection in advantageous operation of big data brokers

Cited by 7 publications

References 9 publications

Protecting the interests of a retail investor i n the United States, China and Russia: the example of brokerage

Protecting the interests of a retail investor i n the United States, China and Russia: the example of brokerage

Structural Characteristics of Stakeholder Relationships and Value Chain Network in Data Exchange Ecosystem

TEEDA: An Interactive Platform for Matching Data Providers and Users in the Data Marketplace

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