Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

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Research and Analysis of the New Pattern of Ecological Evolutionary Development Based on the Context of Big Data

Authors
Yuanshi Jin1, *, Jianfeng Chi1
1College of Global Talents, Beijing Institute of Technology, Zhuhai Campus, Zhuhai, 519088, Guangdong, China
*Corresponding author. Email: yuanshi.jin@cgt.bitzh.edu.cn
Corresponding Author
Yuanshi Jin
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_85How to use a DOI?
Keywords
Crowdspace; Entrepreneurial Ecosystem; Prospect Theory; Evolutionary Gaming
Abstract

This paper introduces the prospect theory based on the traditional game approach, uses the value function in the prospect theory to analyze the evolutionary game process of the entrepreneurial ecosystem of crowdsourcing spaces, and further explores the strategy selection process of each subject through the benefit perception matrix. Firstly, based on the prospect theory, the evolutionary game model between the operation and management of the crowdspace platform and the entrepreneurial innovation group is constructed, the evolutionary stable strategies of both sides of the game are analyzed, and the impact of different parameters on the strategy choice of each game subject is analyzed by using MATLAB simulation. Then, in order to analyze the government’s regulatory mechanism in the entrepreneurial ecosystem, this paper also constructs a tripartite evolutionary game model of the government, the operation and management side and the entrepreneurial innovation group, integrates the prospect theory to derive the perceived benefit matrix of the three parties of the game, and uses phase diagram and stability analysis to study the evolutionary process of each subject. Finally, according to the above analysis process, combined with the actual case of UFO crowdspace in Zhengzhou City, the process of reaching the steady state of the system is derived by using simulation analysis.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
978-94-6463-200-2
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_85How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yuanshi Jin
AU  - Jianfeng Chi
PY  - 2023
DA  - 2023/07/26
TI  - Research and Analysis of the New Pattern of Ecological Evolutionary Development Based on the Context of Big Data
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 823
EP  - 829
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_85
DO  - 10.2991/978-94-6463-200-2_85
ID  - Jin2023
ER  -