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Monetary and hassle savings as strategic variables in the ride-sharing market

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  • Ravula, Prashanth

Abstract

Sharing economy providers (SEPs) host digital platforms through which individuals can sell services to other individuals. These platforms offer two types of savings to consumers: monetary savings from lower prices typically offered by SEPs relative to legacy providers (LPs) and hassle savings from the reduced effort and/or time that consumers expend to search, identify, and transact with providers. We hypothesize that consumers will weigh monetary savings less than hassle savings if the former is below a certain threshold, but that the opposite will be true for larger savings. We empirically tested our hypothesis using ride data from Uber (SEP) and Yellow Taxi (LP). Consistent with our assumption, the study found a threshold ride distance, 6.64 miles, below which Yellow Taxi was preferred for the hassle savings and above which Uber was preferred for the monetary savings. This paper discusses implications that are generalizable for other sharing economy services.

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  • Ravula, Prashanth, 2022. "Monetary and hassle savings as strategic variables in the ride-sharing market," Research in Transportation Economics, Elsevier, vol. 94(C).
    • Handle: RePEc:eee:retrec:v:94:y:2022:i:c:s0739885922000075
    DOI: 10.1016/j.retrec.2022.101184
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    1. Colin Camerer & Linda Babcock & George Loewenstein & Richard Thaler, 1997. "Labor Supply of New York City Cabdrivers: One Day at a Time," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 407-441.
    2. Kevin A. Bryan & Joshua S. Gans, 2019. "A theory of multihoming in rideshare competition," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(1), pages 89-96, January.
    3. Rayle, Lisa & Dai, Danielle & Chan, Nelson & Cervero, Robert & Shaheen, Susan, 2016. "Just a better taxi? A survey-based comparison of taxis, transit, and ridesourcing services in San Francisco," Transport Policy, Elsevier, vol. 45(C), pages 168-178.
    4. Jacob, Jagan & Roet-Green, Ricky, 2021. "Ride solo or pool: Designing price-service menus for a ride-sharing platform," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1008-1024.
    5. Rayle, Lisa & Dai, Danielle & Chan, Nelson & Cervero, Robert & Shaheen, Susan PhD, 2016. "Just A Better Taxi? A Survey-Based Comparison of Taxis, Transit, and Ridesourcing Services in San Francisco," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt60v8r346, Institute of Transportation Studies, UC Berkeley.
    6. Fleura Bardhi & Giana M. Eckhardt, 2012. "Access-Based Consumption: The Case of Car Sharing," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(4), pages 881-898.
    7. Holmgren, Johan, 2020. "The effect of public transport quality on car ownership – A source of wider benefits?," Research in Transportation Economics, Elsevier, vol. 83(C).
    8. Felipe F. Dias & Patrícia S. Lavieri & Venu M. Garikapati & Sebastian Astroza & Ram M. Pendyala & Chandra R. Bhat, 2017. "A behavioral choice model of the use of car-sharing and ride-sourcing services," Transportation, Springer, vol. 44(6), pages 1307-1323, November.
    9. Shokoohyar, Sina & Sobhani, Ahmad & Sobhani, Anae, 2020. "Impacts of trip characteristics and weather condition on ride-sourcing network: Evidence from Uber and Lyft," Research in Transportation Economics, Elsevier, vol. 80(C).
    10. Brodeur, Abel & Nield, Kerry, 2018. "An empirical analysis of taxi, Lyft and Uber rides: Evidence from weather shocks in NYC," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 1-16.
    11. Ricardo Lagos, 2000. "An Alternative Approach to Search Frictions," Journal of Political Economy, University of Chicago Press, vol. 108(5), pages 851-873, October.
    12. Kenneth Button, 2010. "Transport Economics, 3rd Edition," Books, Edward Elgar Publishing, number 1863.
    13. Zhang, Kenan & Nie, Yu (Marco), 2021. "To pool or not to pool: Equilibrium, pricing and regulation," Transportation Research Part B: Methodological, Elsevier, vol. 151(C), pages 59-90.
    14. Henry S. Farber, 2005. "Is Tomorrow Another Day? The Labor Supply of New York City Cabdrivers," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 46-82, February.
    15. Chakravarthi Narasimhan & Purushottam Papatla & Baojun Jiang & Praveen K. Kopalle & Paul R. Messinger & Sridhar Moorthy & Davide Proserpio & Upender Subramanian & Chunhua Wu & Ting Zhu, 2018. "Sharing Economy: Review of Current Research and Future Directions," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 93-106, March.
    16. Jiayi Joey Yu & Christopher S. Tang & Zuo-Jun Max Shen & Xiqun Michael Chen, 2020. "A Balancing Act of Regulating On-Demand Ride Services," Management Science, INFORMS, vol. 66(7), pages 2975-2992, July.
    17. Henry S. Farber, 2015. "Why you Can’t Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1975-2026.
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    2. Laura Grassi, 2024. "In a world of Open Finance, are customers willing to share data? An analysis of the data-driven insurance business," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 14(3), pages 727-753, September.

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