The Bright Side of Dallying in A Matching Market,Despite Being Mostly Dark
Peer-to-peer online sharing market is gaining traction in the world,through which consumers are afforded the opportunity to trade the idle usage time of their own resources such as cars and apartments with their peers.In this paper we extend the investigation of sources of friction on these platforms from platform design and observed variables such as gender and age,to the multi-stage reservation process necessitated prior to any transaction on these platforms.We focus on establishing the causal impact of a key variable,namely,the owner”s response time to the renter”s request,on subsequent success of matching.We utilize a unique policy on a popular P2P car sharing platform in China,that mandates a response to any request within 15 minutes during the daytime(08:00-24:00).Our results uncover different effects of owner”s response time at different stages in the reservation process.Interestingly,conditional on the process unfolding till owner acceptance,the additional 15.27 minutes in the owners” average response time before policy enforcement(i.e.,before versus after 08:00)boosts,rather than decreases the ultimate matching probability by 9.38%.Our analyses suggest that this positive effect of longer response time is mainly driven by the renters” strategic inference of favorable information from waiting,rather than waiting mechanically increasing the value of the reservation.
Matching market Peer-to-peer sharing market Regression discontinuity Friction Dallying Strategic inference
Dai Yao Chuang Tang Junhong Chu
Department of Marketing,National University of Singapore Business School
国内会议
China Marketing International Conference 2017 (2017中国市场营销国际学术年会)
北京
英文
655-696
2017-07-14（万方平台首次上网日期，不代表论文的发表时间）