scholarly journals Competitive equilibrium based personal data market model

2020 ◽  
Vol 13 (13) ◽  
pp. 1450-1457
Author(s):  
J Ujwala Rekha ◽  
Keyword(s):  
Competitive Equilibrium ◽  
Personal Data ◽  
Market Model ◽  
Data Market

Stability and Generalized Competitive Equilibria in a Many-to-Many Gale-Shapley Market Model

2016 ◽  
Vol 63 (3) ◽  
pp. 237-254
Author(s):  
Zbigniew Świtalski
Keyword(s):  
Competitive Equilibrium ◽  
College Admissions ◽  
Supply And Demand ◽  
Type A ◽  
Market Model ◽  
Stable Matchings ◽  
Competitive Equilibria

We define, for some variant of a many-to-many market model of Gale-Shapley type, a concept of generalized competitive equilibrium and show that, under suitable conditions, stable matchings in such a model can be represented as competitive equilibria allocations (and vice versa). Our results are far-reaching generalizations of the “discrete supply and demand lemma” of Azevedo, Leshno (2011) for the college admissions market.Using the results of Alkan, Gale (2003), we also prove a theorem on existence of generalized equilibria in our model.

scholarly journals ЗАСАДИ ФОРМУВАННЯ РИНКУ ПЕРСОНАЛЬНИХ ДАНИХ ГРОМАДЯН: БЕЗПЕКОВИЙ ЗРІЗ

2019 ◽  
pp. 246-254
Author(s):  
Olena Shandrivska
Keyword(s):  
Data Protection ◽  
Public Information ◽  
Personal Data ◽  
Point Of View ◽  
Personal Data Protection ◽  
Stakeholder Groups ◽  
Active Population ◽  
The World ◽  
Data Market ◽  
Per Capita

The world experience of the prerequisites for the formation of a consumer personal data market has been analyzed, in particular from the point of view of providing access to stakeholder groups interested in it. A conceptual scheme of the for-mation of a market for personal data has been introduced. A quantitative and qualitative analysis of indicators that identify the conditions of the personal data market has been carried out. The following indicators has been included in the work: economically active population, Internet home subscribers, Internet connectivity rates, available income per capita, and recorded cybercrimes. The basics of streamlining public information relations in terms of personal data protection based on the formation of a unified system of personal data protection has been formulated, methods for minimizing the risks of leak-age of consumers personal data has been developed.

scholarly journals Three Hierarchical Levels of Big-Data Market Model Over Multiple Data Sources for Internet of Things

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 31269-31280 ◽  
Author(s):  
Busik Jang ◽  
Sangdon Park ◽  
Joohyung Lee ◽  
Sang-Geun Hahn
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Sources ◽  
Market Model ◽  
Multiple Data Sources ◽  
Multiple Data ◽  
Hierarchical Levels ◽  
Data Market

scholarly journals A Two-Sided Market Model of Optimal Price Structure for Instant Messenger

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Jun Xu
Keyword(s):  
Competitive Equilibrium ◽  
Market Model ◽  
Symmetric Equilibrium ◽  
Optimal Price ◽  
Internet Applications ◽  
Price Structure ◽  
Internet Users ◽  
Free Service ◽  
The World ◽  
Instant Messenger

Instant messenger (IM) is one of the most popular Internet applications all over the world. This paper examines the pricing problem of IM based on two-sided market model. IM serves as a two-sided platform, which gets both Internet users and advertisers on board. This paper concludes that IM operator adopts a heavily skewed price structure that favors IM users both under monopolistic case and under horizontal differentiated duopolistic case. When advertising revenue is large enough relatively to marginal cost for serving IM users, IM users can enjoy free service provided by IM operators. The competitive equilibrium of duopolistic case is not necessarily symmetric when advertisers choose singlehoming. Even in the symmetric equilibrium platform would rather deter all advertisers.

scholarly journals European Union view on Personal Data in Intellectual Property Rights

2021 ◽  
Vol 7 (1) ◽  
pp. 92-106
Author(s):  
Dorin Cimil ◽  
◽  
Olesea Plotnic ◽  
Keyword(s):  
Intellectual Property ◽  
Civil Rights ◽  
Property Rights ◽  
Intellectual Property Rights ◽  
Personal Information ◽  
Personal Data ◽  
Legal Framework ◽  
Point Of View ◽  
Data Market ◽  
The Republic

The issue under investigation concerns whether personal data or personal information from the point of view of intellectual property constitutes as such a commodity or economic potential, which may be subject to alienation and registration as an object protected by the intellectual property system or represent a non-commercial object, without circulation in civil relations, with a special legal regime, connected to the fundamental human rights and freedoms. Recognition of personal data and other categories of information, related to the person (geolocation data, user-generated content) in terms of intellectual property rights as objects of civil rights, would allow the development of the data market, necessary for the functioning of innovative technologies on big data, cognitive calculations, the Internet of goods, and bringing these technologies into a legal and civilized field. The objective of the article is to appreciate whether personal data is subject to any intellectual property rights by the assessment of EU jurisprudence in line with national legal framework of the Republic of Moldova.

Competing Teams

2019 ◽  
Vol 87 (3) ◽  
pp. 1134-1173 ◽  
Author(s):  
Hector Chade ◽  
Jan Eeckhout
Keyword(s):  
Market Power ◽  
Competitive Equilibrium ◽  
Knowledge Spillovers ◽  
Market Model ◽  
Strategic Interactions ◽  
Market Structures ◽  
Economic Applications ◽  
The Standard Model ◽  
Competitive Equilibria ◽  
Shed Light

Abstract In many economic applications of matching, the teams that form compete later in market structures with strategic interactions or with knowledge spillovers. Such post-match competition introduces externalities at the matching stage: a team’s payoff depends not only on their members’ attributes but also on those of other matched teams. This article develops a large market model of matching with externalities, in which first teams form, and then they compete. We analyse the sorting patterns that ensue under competitive equilibrium as well as their efficiency properties. Our main results show that insights substantially differ from those of the standard model without externalities: there can be multiple competitive equilibria with different sorting patterns; both optimal and competitive equilibrium matching can involve randomization; and competitive equilibrium can be inefficient with a matching that can drastically deviate from the optimal one. We also shed light on the economic relevance of our matching model with externalities. We analyse two economic applications that illustrate how our model can rationalize the trend in within- and between-firm inequality, and also the evolution of markups of sectors where firms have market power.

scholarly journals FUTURE MARKETING IN B2B SEGMENT: INTEGRATING ARTIFICIAL INTELLIGENCE INTO SALES MANAGEMENT

2020 ◽  
Author(s):  
Koldyshev Maxim Vladimirovich
Keyword(s):  
Artificial Intelligence ◽  
Sales Management ◽  
Personal Data ◽  
B2b Marketing ◽  
Human Needs ◽  
Customer Information ◽  
The Future ◽  
Data Market ◽  
High Level ◽  
Sales Systems

The technological phenomenon of artificial intelligence transforms B2B marketing and approaches to the formation of product value, sales and service. The case study allowed the author to examine and summarize the experience of large companies in integrating artificial intelligence into the sales management system, marketing and service. The article identified three problems of B2B companies’ sales system: incomplete, unreliable data, lack of interaction between marketing and sales systems, dynamic growth of personal data volume. The study proves economic efficiency of the integration of artificial intelligence, which solves these problems. The future of marketing was identified based on the latest trends in the B2B segment. In the future, industrial marketing will be determined by the accuracy, reliability of customer information, a high level of accuracy of demand forecasts, a shortened cycle of trade agreements, increasing level of effectiveness of cooperation between marketing and sales departments. The integration of artificial intelligence into sales management will finally complete the era of digital marketing in the B2B segment and will be the beginning of the era of “human” marketing. The latter will mean that in the context of a regulated digital private B2B data market, marketing will be focused on human needs with an accurate predictable understanding of customer needs.

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