دانلود رایگان مقاله مسابقه در ارائه خدمات مبتنی بر داده- سال 2019
مشخصات مقاله:
عنوان فارسی مقاله:
مسابقه در ارائه خدمات مبتنی بر داده: توصیف تعادل ناش
عنوان انگلیسی مقاله:
Competition in data-based service provision: Nash equilibrium characterization
کلمات کلیدی مقاله:
تئوری بازی، تعادل ناش، ارائه خدمات، فراهم کنندگان داده، مسابقه
مناسب برای رشته های دانشگاهی زیر:
مهندسی کامپیوتر – مهندسی فناوری اطلاعات و ارتباطات – مهندسی برق
مناسب برای گرایش های دانشگاهی زیر:
مهندسی نرم افزار – مخابرات سیار – برق مخابرات
وضعیت مقاله انگلیسی و ترجمه:
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فهرست مطالب:
Outline
Highlights
Abstract
Keywords
۱٫ Introduction
۲٫ Model description
۳٫ Analysis
۴٫ Results and discussion
۵٫ Conclusions
Declarations of interest, funding sources and author contributions
Appendix A. Notation
Appendix B. Lemmas
References
قسمتی از مقاله انگلیسی:
Abstract
This paper analyzes the economic feasibility of a market for data-based services, which is a scenario envisioned in sectors that are adopting Internet of Things and/or Big Data technologies. A business model for the provision of a data-based service is proposed. In this model, service providers build services from data that is collected and sold by data providers in a market, and provide services to final users. Service providers compete strategically against each other in the data market and in the service market. The strategic interaction between the service providers is analyzed by means of non-cooperative game theory. A thorough mathematical analysis of the Nash equilibria is carried out and existence and uniqueness conditions are proved and discussed. We conclude that if the sensitivity of users to the data-rate-to-price ratio is above the unity and the number of service provider does not exceed a given limit, a unique and meaningful equilibrium exists. We also conclude that the intensity of competition is beneficial for the users and detrimental for the service providers, while for the data providers, maximum surplus is obtained in an intermediate intensity of competition. Finally, an increase in the users’ sensitivity to the data-rate-to-price ratio causes a shift on the surplus from both the service providers and data providers to the users.
1. Introduction
According to a report commissioned by the European Commission [1], the European (EU28) data market was estimated at EUR59,539 million in 2016 exhibiting a solid year-on-year growth (YoY) of 9.5%. This report also estimated the US data market (EUR129,173 million; 11.8% YoY), the Brazilian data market (EUR6,049 million and 14.7% YoY) and the Japanese data market (EUR25,5 million and 6.2% YoY). This positive trend would continue throughout the next four years. This optimistic forecasting allows us to envision the emergence of a market for data-based services, specially in sectors that are adopting Internet of Things (IoT) and/or Big Data technologies. Those companies that drive the growth for IoT devices will have the greatest potential to monetize and will likely be the first adopters of IoT data marketplaces. Examples of such industries are industrial devices (24.4% revenue CAGR), medical devices (20.8% revenue CAGR) and automotive/transportation devices (21.4% revenue CAGR) [2].
