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journal article Sep 01, 2018

On-Demand Service Platforms

Terry A. Taylor ORCID
Manufacturing & Service Operations Management Vol. 20 No. 4 pp. 704-720 · Institute for Operations Research and the Management Sciences (INFORMS)
View at Publisher Save 10.1287/msom.2017.0678
Abstract
An on-demand service platform connects waiting-time-sensitive customers with independent service providers (agents). This paper examines how two defining features of an on-demand service platform—delay sensitivity and agent independence—impact the platform’s optimal per-service price and wage. Delay sensitivity reduces expected utility for customers and agents, which suggests that the platform should respond by decreasing the price (to encourage participation of customers) and increasing the wage (to encourage participation of agents). These intuitive price and wage prescriptions are valid in a benchmark setting without uncertainty in the customers’ valuation or the agents’ opportunity costs. However, uncertainty in either dimension can reverse the prescriptions: Delay sensitivity increases the optimal price when customer valuation uncertainty is moderate. Delay sensitivity decreases the optimal wage when agent opportunity cost uncertainty is high and expected opportunity cost is moderate. Under agent opportunity cost uncertainty, agent independence decreases the price. Under customer valuation uncertainty, agent independence increases the price if and only if valuation uncertainty is sufficiently high. The online appendix is available at https://doi.org/10.1287/msom.2017.0678 .
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References
54
[5]
Arnosti N, Johari R, Kanoria Y (2014) Managing congestion in decentralized matching markets. Working paper, Stanford University, Stanford, CA. 10.2139/ssrn.2427960
[7]
Banerjee S, Riquelme C, Johari R (2015) Pricing in ride-share platforms: A queueing-theoretic approach. Working paper, Stanford University, Stanford, CA. 10.2139/ssrn.2568258
[9]
Bensinger G Wall Street Journal (2015)
[16]
Debo L, Rajan U, Veeraraghavan SK (2013) Signaling quality via long lines and uninformative prices. Working paper, Dartmouth College, Hanover, NH.
[17]
Dowdle L Landscape Management (2015)
[19]
Farrell D (2016)
[20]
Fraiberger SP, Sundararajan A (2015) Peer-to-peer rental markets in the sharing economy. Working paper, New York University, New York. 10.2139/ssrn.2574337
[23]
Gurvich I (2018)
[26]
Hu M, Zhou Y (2015) Dynamic type matching. Working paper, University of Toronto, Toronto.
[27]
Huet E Forbes (2015)
[30]
Kabra A, Belavina E, Girotra K (2016) Designing promotions to scale marketplaces. Working paper, INSEAD, Fontainebleau, France.
[31]
Kokalitcheva K Fortune (2015)
[33]
Li J, Moreno A, Zhang DJ (2016) Pros vs. Joes: Agent pricing behavior in the sharing economy. Working paper, University of Michigan, Ann Arbor.
[34]
MacMillan D Wall Street Journal (2015)
[43]
Roose K NYMag (2014)
[44]
Ruggless R Nation’s Restaurant News (2015)
[45]
Scheiber N New York Times (2015)
[46]
Shoot B Entrepreneur (2015)
[47]
Singer N New York Times (2015)
[49]
Solomon B Forbes (2016)
[50]
Steinmetz K Time (2015)

Showing 50 of 54 references

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Metrics
552
Citations
54
References
Details
Published
Sep 01, 2018
Vol/Issue
20(4)
Pages
704-720
Authors
T
Terry A. Taylor

Haas School of Business, University of California, Berkeley, California 94720

Cite This Article
Terry A. Taylor (2018). On-Demand Service Platforms. Manufacturing & Service Operations Management, 20(4), 704-720. https://doi.org/10.1287/msom.2017.0678
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