The Complex Dynamics of Sharing Platform Competition Game

• Published in: Discrete dynamics in nature and society Vol. 2021; pp. 1 - 14
• Main Author: Xiao, Jianli
• Format: Journal Article
• Language: English
• Published: New York Hindawi 22.12.2021; John Wiley & Sons, Inc; Hindawi Limited
• Subjects: Bifurcations; Chaos theory; Competition; Consumers; Control methods; Control systems; Costs; Decision making; Dynamic models; Dynamic stability; Economic development; Equilibrium; Feedback control; Fees & charges; Liapunov exponents; Parameters; Product differentiation; Profits; Sharing economy; Systems stability; Utility functions; China
• ISSN: 1026-0226; 1607-887X
• DOI: 10.1155/2021/2022179

With the rapid development of Internet technologies and online sharing platforms, sharing economy has become a major trend in economy. The entry of sharing economy leads to profound impacts on incumbent industry. We build a dynamic sharing platform competition model with which agents are bounded rational, and consumer side is heterogeneous. Then, we present the fixed points and the stability conditions of the bifurcation of the dynamic model. We simulate the adjustment speed of sharing platform, sharing platform price, and costs of traditional firm effects on system stability, and we present stable area, bifurcation diagram, the largest Lyapunov exponent, and strange attractor of different parameters, and we give a feedback control method at last. Our main results are as follows: (1) when adjustment speed of sharing platform increases, the system becomes bifurcation, and finally, the system goes into a chaotic state; when the system is stable, price of traditional firm and fee decision of sharing platform are constant. (2) When price of sharing platform increases, sharing platform is more stable while traditional firm is more vulnerable. Suppose the system is in the stable state; when sharing platform price increases, traditional firm price increases, while sharing platform fees decreases. (3) When traditional firm cost is small, the system would be more stable. When the system is stable, with traditional firm cost increasing, traditional firm price increases quicker than sharing platform consumer fee, while sharing platform seller fee decreases. (4) Feedback control can alleviate the chaotic state of system. With feedback control parameter increases, the system becomes more stable.