scholarly journals Exploring the Quantity Change Pattern of Environment-Friendly Products in the Sharing Economy

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Tianjian Yang ◽  
Ye Li ◽  
Yu Zhang
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Sharing Economy ◽  
Consumer Experience ◽  
Environment Friendly ◽  
Discrete Dynamic System ◽  
Change Pattern ◽  
The Relationship

In the practice of various Internet-based sharing economies, environmental issues of shared products become more prominent and urgent. By analysing the relationship among government, enterprises, and consumers, this paper develops a system dynamics model based on the evolutionary game theory to explore the quantity change pattern of environment-friendly products in a sharing industry. A discrete dynamic system simulation of the quantity change process takes shared bikes in Beijing as a case study. The simulation results are consistent with the analysis of evolutionary game theory. The results show that government subsidies to both enterprises and consumers can lead to higher quantities of environment-friendly shared products, while consumer subsidy is better than enterprise subsidy. In addition, governments and enterprises need to ensure moderate investments to improve consumer experience and environmental awareness.

Evolutionary Game Theory and Typology: A Case Study

Language ◽  
2007 ◽  
Vol 83 (1) ◽  
pp. 74-109 ◽  
Author(s):  
Gerhard Jäger
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Evolutionary Game

Game Theory

2011 ◽  
Author(s):  
Iris Bohnet
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Evolutionary Games ◽  
Analytical Investigation ◽  
System Level ◽  
Behavioral Game Theory ◽  
Interacting Agents ◽  
Behavioral Game ◽  
The Relationship

This article considers how game theory can be simultaneously deployed as a tool for framing questions and for formal analytical investigation of the relationship between micro-level decisions and macro-level outcomes. It first provides an overview of some basic concepts of game theory before turning to evolutionary game theory and its most salient features, including the concept of equilibrium. It then examines behavioral game theory and presents examples of how game theory has been used in the field of sociology for the purposes of thinking and for the derivation of system-level outcomes. It also reviews studies that have used game theory in a more formal way in order to derive aggregate distributions from a social system comprising interacting agents and to explain aggregate outcomes. Finally, it describes various applications of evolutionary games and suggests that evolutionary game theory may provide an especially fecund tool for sociologists.

scholarly journals Research on Promotion of Consumers’ Application of After Service in Online Shopping Based on Evolutionary Game Theory-- Introduction of Smart Contract

2021 ◽  
Vol 233 ◽  
pp. 01074
Author(s):  
Hongzhen Lei ◽  
Di Lu ◽  
HongHong Zhang
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Online Shopping ◽  
Evolutionary Game ◽  
Game Model ◽  
Strategic Choices ◽  
Smart Contract ◽  
Service Guarantee ◽  
Relationship Of ◽  
The Relationship

In order to research how to promote online shopping consumers’ application of after service, build an evolutionary game model of both consumers and e-stores. This paper introduces the variables of supervision and punishment, tries to introduce the smart contract as a powerful service guarantee, and analyzes the influence relationship of variables between the two players and their strategic choices. This paper analyzes the ESS of the system when the relationship among smart contract, revenue, supervision and punishment meets 8 different conditions. Finally, giving suggestions to optimize the after service in online shopping according to the results.

scholarly journals A Study of Taxi Service Mode Choice Based on Evolutionary Game Theory

2019 ◽  
Vol 2019 ◽  
pp. 1-17
Author(s):  
Zhu Bai ◽  
Mingxia Huang ◽  
Shuai Bian ◽  
Huandong Wu
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Mode Choice ◽  
Evolutionary Game ◽  
Payoff Matrix ◽  
Game Model ◽  
Stable States ◽  
Taxi Service ◽  
Service Mode ◽  
The Impact

The emergence of online car-hailing service provides an innovative approach to vehicle booking but has negatively influenced the taxi industry in China. This paper modeled taxi service mode choice based on evolutionary game theory (EGT). The modes included the dispatching and online car-hailing modes. We constructed an EGT framework, including determining the strategies and the payoff matrix. We introduced different behaviors, including taxi company management, driver operation, and passenger choice. This allowed us to model the impact of these behaviors on the evolving process of service mode choice. The results show that adjustments in taxi company, driver, and passenger behaviors impact the evolutionary path and convergence speed of our evolutionary game model. However, it also reveals that, regardless of adjustments, the stable states in the game model remain unchanged. The conclusion provides a basis for studying taxi system operation and management.

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