A Model of Platform Competition in Sharing Economy

Author(s):  
Zhijie Lin ◽  
Zhenhua Wu
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Jianli Xiao

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.


2017 ◽  
Author(s):  
Chenglong Zhang ◽  
Jianqing Chen ◽  
Srinivasan Raghunathan

2019 ◽  
Author(s):  
Hanna Lee ◽  
Sung-Byung Yang ◽  
Chulmo Koob
Keyword(s):  

2019 ◽  
Vol 2 (4) ◽  
pp. 260-266
Author(s):  
Haru Purnomo Ipung ◽  
Amin Soetomo

This research proposed a model to assist the design of the associated data architecture and data analytic to support talent forecast in the current accelerating changes in economy, industry and business change due to the accelerating pace of technological change. The emerging and re-emerging economy model were available, such as Industrial revolution 4.0, platform economy, sharing economy and token economy. Those were driven by new business model and technology innovation. An increase capability of technology to automate more jobs will cause a shift in talent pool and workforce. New business model emerge as the availabilityand the cost effective emerging technology, and as a result of emerging or re-emerging economic models. Both, new business model and technology innovation, create new jobs and works that have not been existed decades ago. The future workers will be faced by jobs that may not exist today. A dynamics model of inter-correlation of economy, industry, business model and talent forecast were proposed. A collection of literature review were conducted to initially validate the model.


2014 ◽  
Vol 11 (1) ◽  
pp. 32-34
Author(s):  
Kristina Müller ◽  
Antonia Schubert
Keyword(s):  

Airbnb, Car2Go, Couchsurfing – die Sharing Economy gilt derzeit als Trendthema für Wirtschaft, Politik und Ökologie. Im Auftrag einer großen deutschen Mediengruppe und weil das Phänomen wissenschaftlich bislang kaum untersucht wurde, hat das InnoLab der Hamburg Media School die Anbieter, Branchen und Geschäftsmodelle der Sharing Economy evaluiert. Auf Basis von eigens erhobenen Daten, Experteninterviews und Fokusgruppenbefragungen wurden Monetarisierungsstrategien bewertet, Erfolgsfaktoren bestimmt und Handlungsempfehlungen für Anbieter herausgearbeitet. Die Autorinnen danken Prof. Dr. Armin Rott, Nick Sohnemann, Andreas Wrede und Marcel Garz (alle InnoLab/Hamburg Media School) für die Unterstützung der Studie.


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