Peer-to-Peer Short-Term Sharing on the Rental Platform
Ke Li , Li Xiao
Journal of Systems Science and Systems Engineering ›› 2022, Vol. 31 ›› Issue (6) : 705 -727.
Peer-to-peer (P2P) rental markets connect independent owners and price sensitive renters. Examples of P2P rental platform include home sharing, such as Airbnb and Ma Yi Duan Zu, and carsharing, such as Uber and Didi. The platform gains profit by asking owners and renters to pay the commission rates. Owners decide whether to share their durable goods, and if so, how much time to share. In this paper, we study the short-term sharing behavior and decision making process in the P2P rental markets. Specifically, we consider two settings: owner makes the rental price decision; and the platform makes the rental price decision. The former one applies to the home sharing industry, while the latter one applies to the carsharing industry. In addition, we consider two market conditions: supply shortage case (supply is less than demand); and supply surplus case (supply is larger than demand). We show that, platform earns a higher profit under supply surplus (or shortage) case if the potential owner ratio is high (or low). In addition, we show that, under supply shortage case, owner’s optimal earnings and platform’s optimal profit do not change when we compare the setting where owner makes pricing decision with the setting where platform makes pricing decision. Last, we numerically illustrate how the social welfare changes with respect to the owner’s ratio. We find that it is first decreasing, then increasing, and finally decreasing in owner’s ratio.
P2P market / price / commission rate / bilateral platform / sharing economy
| [1] |
Abhishek V, Guajardo J, Zhang Z (2018). Business models in the sharing economy: Manufacturing durable goods in the presence of peer-to-peer rental markets. Working paper. |
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
Banerjee S, Riquelme C, Johari R (2015). Pricing in rideshare platforms: A queueing-theoretic approach. Working paper. |
| [6] |
|
| [7] |
Benjaafar S, Ding J, Kong G, Taylor T (2021). Labor welfare in on-demand service platforms. Manufacturing & Service Operations Management, Forthcoming. |
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
Cui Y, Orhun A Y, Hu M (2019). Under the same roof: Value of shared living in Airbnb. Working paper. |
| [13] |
Cullen Z, Farronato C (2014). Outsourcing tasks online: Matching supply and demand on peer-to-peer internet platforms. Working paper. |
| [14] |
|
| [15] |
Fang Z, Huang L, Wierman A (2017). Prices and subsidies in the sharing economy. Performance Evaluation. |
| [16] |
Fraiberger S P, Sundararajan A (2015). Peer-to-peer rental markets in the sharing economy. NYU Stern School of Business Research Paper. |
| [17] |
Gurvich I, Lariviere M, Moreno A (2019). Operations in the on-demand economy: Staffing services with self-scheduling capacity. Sharing Economy: 249–278. |
| [18] |
Horton J J, Zeckhauser R J (2016). Owning, using and renting: Some simple economics of the ‘sharing economy’. National Bureau of Economic Research. |
| [19] |
Hu M, Zhou Y (2017). Price, wage and fixed commission in on-demand matching. Working paper. |
| [20] |
|
| [21] |
Kahneman D, Tversky A (2013). Prospect theory: An analysis of decision under risk. Handbook of the Fundamentals of Financial Decision Making: Part I. |
| [22] |
Li J, Moreno A, Zhang D J (2015). Agent behavior in the sharing economy: Evidence from Airbnb. Ross School of Business Working Paper Series. |
| [23] |
|
| [24] |
Macmillan D (2015). The $50 billion question: Can Uber deliver. Wall Street Journal. |
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
Zhou Y (2017). Pricing and matching in the sharing economy. Phd Thesis. |
/
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|
〉 |