The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
On-Demand Service Platforms
Open accessAbstract
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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Cites
The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry
Zervas, G., Proserpio, D., & Byers, J. W. (2017) · Journal of Marketing Research · doi:10.1509/jmr.15.0204 · Cited by 2,376 · cited 1×
“Finally, modeling and empirical work (e.g., Einav et al. 2016, Zervas et al. 2017) examines the impact of platform entry on incumbents.”
Einav, L., Farronato, C., & Levin, J. (2016) · Annual Review of Economics · doi:10.1146/annurev-economics-080315-015334 · Cited by 553 · cited 1×
“Finally, modeling and empirical work (e.g., Einav et al. 2016, Zervas et al. 2016) examines the impact of platform entry on incumbents.”
Method
Cited by
Coordinating Supply and Demand on an On-Demand Service Platform with Impatient Customers
Bai, J., So, K. C., Tang, C. S., Chen, X. (., & Wang, H. (2019) · Manufacturing & Service Operations Management · doi:10.1287/msom.2018.0707 · Cited by 580
Ridesourcing systems: A framework and review
Wang, H., & Yang, H. (2019) · Transportation Research Part B: Methodological · doi:10.1016/j.trb.2019.07.009 · Cited by 538
Benjaafar, S., Kong, G., Li, X., & Courcoubetis, C. (2019) · Management Science · doi:10.1287/mnsc.2017.2970 · Cited by 455
Between autonomy and control: Strategies of arbitrage in the “on-demand” economy
Shapiro, A. (2018) · New Media & Society · doi:10.1177/1461444817738236 · Cited by 374
OM Forum—Innovative Online Platforms: Research Opportunities
Chen, Y.-J., Dai, T., Korpeoglu, C. G., Körpeoğlu, E., Sahin, O., Tang, C. S., & Xiao, S. (2020) · Manufacturing & Service Operations Management · doi:10.1287/msom.2018.0757 · Cited by 226
Metadata
- Authors
- Taylor, T. A.
- Venue
- Manufacturing & Service Operations Management
- Published
- 2018-09
- Volume
- 20
- Issue
- 4
- Pages
- 704-720
- ISSN
- 1523-4614 (ISSN-L)
- 1526-5498
- OpenAlex
- W3121991813
- Cited by
- 600
- References
- 2
- FWCI
- 70.45
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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