Unpacking Sharing in the Peer-to-Peer Economy: The Impact of Shared Needs and Backgrounds on Ride-Sharing

2020 ◽  
Vol 4 (CSCW1) ◽  
pp. 1-19
Author(s):  
Ning F. Ma ◽  
Benjamin V. Hanrahan
Keyword(s):  
Peer To Peer ◽  
Ride Sharing ◽  
The Impact

Working Time under Alternative Pay Contracts in the Ride-Sharing Industry

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Filippo Belloc
Keyword(s):  
Network Effects ◽  
Network Externalities ◽  
Profit Sharing ◽  
Static Model ◽  
Peer To Peer ◽  
Working Time ◽  
Intensive Margin ◽  
Hours Worked ◽  
Ride Sharing ◽  
Transportation Sector

AbstractWe study hours worked by drivers in the peer-to-peer transportation sector with cross-side network effects. Medallion lease (regulated market), commission-based (Uber-like pay) and profit-sharing (“pure” taxi coop) compensation schemes are compared. Our static model shows that network externalities matter, depending on the number of active drivers. When the number of drivers is limited, in the presence of positive network effects, a regulated system always induces more hours worked, while the commission fee influences the comparative incentives towards working time of Uber-like pay versus profit-sharing. When the number of drivers is infinite (or close to it), the influence of network externalities on optimal working time vanishes. Our model helps identifying which is the pay scheme that best remunerates longer working times and offers insights to regulators seeking to improve the intensive margin of coverage by taxi services.

scholarly journals Uncovering the Providers’ Continuance Intention of Participation in the Sharing Economy: A Moderated Mediation Model

2021 ◽  
Vol 13 (9) ◽  
pp. 5095
Author(s):  
Jiang Jiang ◽  
Rui Feng ◽  
Eldon Y. Li
Keyword(s):  
Sharing Economy ◽  
Economic Benefits ◽  
Peer To Peer ◽  
Partial Least Square ◽  
Least Square ◽  
Mediating Effect ◽  
Utilization Efficiency ◽  
Continuance Intention ◽  
Hedonic Value ◽  
Ride Sharing

The sharing economy has evolved into a promising business concept that enables individuals to share their idle resources, improving resource utilization efficiency commercially. Recently, it has gained enormous academic attention. However, little concern has been given to the behavior of individual providers on the supply side. This paper aims to uncover the motivational and trust-based providers’ continuance intention of participation in the context of peer-to-peer ride-sharing services. Based on the survey data from 202 providers and the partial least-square analysis, we confirm the mediating effect of attitude in the relationships between participation continuance intention; trust; and three motivational dimensions: economic benefits, social–hedonic value, and sustainability. We further confirm the moderating effects of innovativeness using PROCESS. The results show that economic benefits, social–hedonic value, and sustainability significantly affect providers’ participation continuance intention. Moreover, attitudes toward the sharing economy play a complementary partial-mediating role in the relationships from economic benefits and social–hedonic value to participation continuance intention, which is negatively moderated by innovativeness. Trust does not significantly affect providers’ attitude toward the sharing economy and participation continuance intention in the peer-to-peer ride-sharing context.

Drivers, Riders, and Service Providers: The Impact of the Sharing Economy on Mobility

2021 ◽  
Author(s):  
Saif Benjaafar ◽  
Harald Bernhard ◽  
Costas Courcoubetis ◽  
Michail Kanakakis ◽  
Spyridon Papafragkos
Keyword(s):  
Operations Management ◽  
Service Providers ◽  
Sharing Economy ◽  
Car Ownership ◽  
Full Time ◽  
Ride Sharing ◽  
Finite Set ◽  
Nonatomic Game ◽  
Payoff Functions ◽  
The Impact

It is widely believed that ride sharing, the practice of sharing a car such that more than one person travels in the car during a journey, has the potential to significantly reduce traffic by filling up cars more efficiently. We introduce a model in which individuals may share rides for a certain fee, paid by the rider(s) to the driver through a ride-sharing platform. Collective decision making is modeled as an anonymous nonatomic game with a finite set of strategies and payoff functions among individuals who are heterogeneous in their income. We examine how ride sharing is organized and how traffic and ownership are affected if a platform, which chooses the seat rental price to maximize either revenue or welfare, is introduced to a population. We find that the ratio of ownership to usage costs determines how ride sharing is organized. If this ratio is low, ride sharing is offered as a peer-to-peer (P2P) service, and if this ratio is high, ride sharing is offered as a business-to-customer (B2C) service. In the P2P case, rides are initiated by drivers only when the drivers need to fulfill their own transportation requirements. In the B2C case, cars are driven all the time by full-time drivers taking rides even if these are not motivated by their private needs. We show that, although the introduction of ride sharing may reduce car ownership, it can lead to an increase in traffic. We also show that traffic and ownership may increase as the ownership cost increases and that a revenue-maximizing platform might prefer a situation in which cars are driven with only a few seats occupied, causing high traffic. We contrast these results with those obtained for a social welfare-maximizing platform. This paper was accepted by Charles Corbett, operations management.

scholarly journals The Managing of Peer-to-Peer File Sharing Technologies’ Network Effect: An Adaptation of Actor-Network Theory

2014 ◽  
Vol 5 (1) ◽  
pp. 37-44
Author(s):  
Kobra Elahifar
Keyword(s):  
Network Theory ◽  
Music Industry ◽  
Historical Context ◽  
Actor Network Theory ◽  
File Sharing ◽  
Peer To Peer ◽  
Network Effect ◽  
Actor Network ◽  
P2p File Sharing ◽  
The Impact

Peer-to-peer (P2P) file-sharing technologies have impacted the music industry, including its strategies for the distribution of the musical products, for more than a decade now. As a result, music labels have delayed full digitization of their industry in fear of “online music piracy”. The present paper reviews the historical context of the evolution of the music industry from 1999 to 2012. Using Actor-Network theory, the paper examines the strategies that helped the music industry to translate new actors’ effect in order to sustain music labels’ business on their path to digitize music distribution. I will discuss the impact of new digital policies and methods of governing online behavior including the business concept of “entrepreneurship” as they may potentially affect the future of public domain within the framework of consumer rights.

scholarly journals SURVEY ON PEER-TO-PEER RIDE SHARING FOR “POOL” A RIDE SHARING APP

2020 ◽  
Vol 5 (8) ◽  
Author(s):  
Piyush Agrawal ◽  
Harsh Agrawal ◽  
Avinash Bagul ◽  
Apurva Joshi ◽  
Ajinkya Ghorpade
Keyword(s):  
College Students ◽  
Peer To Peer ◽  
Time Of Arrival ◽  
Specific Time ◽  
Fuel Cost ◽  
Long Distance ◽  
Ride Sharing ◽  
The City

Many college students travel in public transports or walk a long distance to reach college. This is problematic because public transports can be slow and not available everywhere as they have a specific time of arrival in their stops and they have to halt at multiple places in the city which can make it quite time consuming for passengers to reach their destinations. The goal of our project is to reduce this problem by providing a ride sharing application for institutes. This will be mutually beneficial for the students providing a ride and the students wanting to reach their destination quickly and cheaply as those who bring their own vehicles anyhow have to go to their homes without anyone sharing the ride with them. This will help them to earn money to at least cover their transportation or fuel cost and in-turn help provide a cheap ride to the ones in need. In this paper, we survey the work that deals with various paradigms of ride sharing and coincides with our idea for the application.

Tit for tat: understanding the responding behavior of property hosts on peer-to-peer rental platforms

2021 ◽  
Vol 33 (3) ◽  
pp. 1105-1126
Author(s):  
Sai Liang ◽  
Xiaoxia Zhang ◽  
Chunxiao Li ◽  
Hui Li ◽  
Xiaoyu Yu
Keyword(s):  
Service Providers ◽  
Online Reviews ◽  
Peer To Peer ◽  
Theoretical Development ◽  
Effective Response ◽  
Content Type ◽  
Starting Point ◽  
Tit For Tat ◽  
Hotel Managers ◽  
The Impact

Purpose Due to their very different contexts, the responses made by property hosts to online reviews can differ from those posted by hotel managers. Thus, the purpose of this study is to investigate the determinants of the responding behavior of hosts on peer-to-peer property rental platforms. Design/methodology/approach This study applied a comprehensive framework based on the theory of planned behavior. Empirical models are constructed based on 89,967 guest reviews with their associated responses to reveal the responding pattern of property hosts. Findings Unlike hotel managers, property hosts are more likely to reply to positive than to negative reviews; moreover, when they do choose to respond to negative reviews, they are likely to do so negatively, in a “tit-for-tat” way. This study also finds that one reason for the difference of responding patterns between property hosts and hotel managers is the hosts’ lack of experience of consumer relationship management and service recovery. Research limitations/implications This study provides a good start point for future theoretical development regarding effective responding strategy on peer-to-peer property rental platforms, as well as some useful implications for practitioners. Originality/value This study is an early attempt to analyze the impact of the particularity of emerging platforms on the responding behavior of service providers based on a comprehensive conceptual framework and empirical model thus provides a good starting point for the further investigation of effective response strategies on these emerging platforms.

Care to Share?

2015 ◽  
pp. 222-244
Author(s):  
Paolo Santi ◽  
Carlo Ratti
Keyword(s):  
Urban Environment ◽  
Methodological Approach ◽  
Relevant Literature ◽  
Taxi Driver ◽  
Data Sets ◽  
Exciting Field ◽  
Ride Sharing ◽  
Gps Devices ◽  
The Impact

GPS technology has been extensively used to optimize operation of taxi systems since the first appearance of commercial GPS devices. Owing to this, data sets generated by taxi fleets are amongst the first and most representative examples of massive GPS data that have been systematically collected. The analysis of these data sets has recently generated a rich literature aimed at, among other things, identifying optimal taxi driver strategies, predicting taxi demand or location of vacant taxis, etc. This chapter focuses on what is a new, exciting field of investigation of GPS taxi data analysis, namely, evaluating the impact of a shared taxi system on the urban environment. After introducing the notion of (taxi) ride sharing, the chapter presents the relevant literature, describing in greater details a methodological approach called “shareability network” that allows formal characterization of taxi sharing opportunities in an urban environment.

Sign in / Sign up

Export Citation Format

Share Document