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Application of Game Theory in the SharingEconomy.

Authors: Hanyi Shi;

Application of Game Theory in the SharingEconomy.

Abstract

With the development of the sharing economy, all kinds of sharing services have begun to enter our daily lives, such as shared bikes, shared e-bikes, shared charging banks, and so on. The development of the sharing economy requires the cooperation and restriction of the government, consumers, and providers of shared services. In the process of their cooperation and restriction, the game between them is also evolving. This paper will take shared e-bikes as an example to study how to promote cooperation among the three parties based on maximizing their interests and apply the conclusions drawn from this study to other shared services. This paper’s process of research found that the three parties will promote cooperation by guaranteeing basic income, legal consciousness, and a sense of social responsibility. For example, the government needs to maintain normal social benefits so that they have to give more benefits to enterprises in cooperation. Enterprises will comply with relevant laws to distribute a number of shared e-bikes and accept government supervision. Consumers benefit from the sharing economy by consuming and then using and parking e-bikes correctly due to a sense of social responsibility so that the former two can get intuitive benefits and sustain this service power.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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