The Role of Surge Pricing on a Service Platform with Self-Scheduling Capacity
Published Online:1 Jun 2017https://doi.org/10.1287/msom.2017.0618
References
- (2012) Large-scale service marketplaces: The role of the moderating firm. Management Sci. 58(10):1854–1872.Link, Google Scholar
- (2009) Near-optimal dynamic lead-time quotation and scheduling under convex-concave customer delay costs. Oper. Res. 57(3):753–768.Link, Google Scholar
- (2016) Coordinating supply and demand on an on-demand service platform: Price, wage and payout ratio. Working paper, University of California, Irvine.Google Scholar
- (2015) Pricing in ride-sharing platforms: A queueing-theoretic approach. Working paper, Cornell University, Ithaca, NY.Crossref, Google Scholar
- (2005) Decentralized supply chains with competing retailers under demand uncertainty. Management Sci. 51(1):18–29.Link, Google Scholar
- (2005) Supply chain coordination with revenue-sharing contracts: Strengths and limitations. Management Sci. 51(1):30–44.Link, Google Scholar
- (2008) Dynamic pricing and lead-time quotation for a multiclass make-to-order queue. Management Sci. 54(6):1132–1146.Link, Google Scholar
- (2017) Dynamic pricing in a labor market: Surge pricing and flexible work on the Uber platform. Working paper, University of California, Los Angeles.Google Scholar
- (2016) The impact of demand uncertainty on consumer subsidies for green technology adoption. Management Sci. 62(5):1235–1258.Link, Google Scholar
- (2016) Using big data to estimate consumer surplus: The case of Uber. Working paper, University of Oxford, Oxford, UK.Crossref, Google Scholar
- (2016) Disruptive change in the taxi business: The case of Uber. Working paper, National Bureau of Economic Research, Cambridge, MA.Crossref, Google Scholar
- Economist, The (2014) Pricing the surge. (March 29), http://www.economist.com/news/finance-and-economics/21599766-microeconomics-ubers-attempt-revolutionise-taxi-markets-pricing-surge.Google Scholar
- (2016) Peer-to-peer markets. Annual Rev. Econom. 8(October):615–635.Crossref, Google Scholar
- (2015) Why you can’t find a taxi in the rain and other labor supply lessons from cab drivers. Quart. J. Econom. 130(4):1975–2026.Crossref, Google Scholar
- (2015) Peer-to-peer rental markets in the sharing economy. Working paper, Stern School of Business, New York University, New York.Crossref, Google Scholar
- (1993) Advance-purchase discounts and monopoly allocation of capacity. Amer. Econom. Rev. 83(1):135–146.Google Scholar
- (2015) Operations in the on-demand economy: Staffing services with self-scheduling capacity. Working paper, Kellogg School of Management, Northwestern University, Evanston, IL.Google Scholar
- (2015) An analysis of the labor market for Uber’s driver-partners in the United States. Working paper, Princeton University, Princeton, NJ.Google Scholar
- (2014) Is the world truly “flat”? Empirical evidence from online labor markets. Working paper, Arizona State University, Tempe.Google Scholar
- (2015) Dynamic matching in a two-sided market. Working paper, University of Toronto, Toronto, Ontario.Crossref, Google Scholar
- (2015) Uber raises Uberx commission to 25% in five more markets. Forbes (September 11), http://www.forbes.com/sites/ellenhuet/2015/09/11/uber-raises-uberx-commission-to-25-percent-in-five-more-markets.Google Scholar
- (2015) Managing large service systems with self-scheduling agents. Working paper, University College London, London.Google Scholar
- (2015) California says Uber driver is employee, not a contractor. New York Times (June 17), https://www.nytimes.com/2015/06/18/business/uber-contests-california-labor-ruling-that-says-drivers-should-be-employees.html.Google Scholar
- (2015) Peer-to-peer marketplaces: Get em’ up and running. Working paper, INSEAD, Fontainebleau, France.Google Scholar
- (2016) The rise and nature of alternative work arrangements in the United States, 1995–2005. Working paper, Princeton University, Princeton, NJ.Crossref, Google Scholar
- (2015) Asymptotically optimal dynamic pricing in observable queues. Working paper, University of Southern California, Los Angeles.Google Scholar
- (2015) A New York City politician wants to ban Uber’s surge pricing—But that’s a terrible idea. Business Insider (March 7), http://www.businessinsider.com/banning-ubers-surge-pricing-is-a-terrible-idea-2015-2.Google Scholar
- (2014) Does online search crowd out traditional search and improve matching efficiency? Evidence from craigslist. J. Labor Econom. 32(2):259–303.Crossref, Google Scholar
- (2012) Dynamic pricing competition with strategic consumers under vertical product differentiation. Management Sci. 59(1):84–101.Link, Google Scholar
- (1986) Free entry and social inefficiency. RAND J. Econom. 17(1):48–58.Crossref, Google Scholar
- (2014) Doing business with strangers: Reputation in online service marketplaces. Inform. Systems Res. 25(4):865–886.Link, Google Scholar
- (2006) Two-sided markets: A progress report. RAND J. Econom. 37(3):645–667.Crossref, Google Scholar
- (2015) Growth in the “gig economy” fuels work force anxieties. New York Times (July 12), http://www.nytimes.com/2015/07/13/business/rising-economic-insecurity-tied-to-decades-long-trend-in-employment-practices.html.Google Scholar
- (2013) Responses to entry in multi-sided markets: The impact of craigslist on local newspapers. Management Sci. 60(2):476–493.Link, Google Scholar
- (2003) Costly bidding in online markets for it services. Management Sci. 49(11):1504–1520.Link, Google Scholar
- (2014) How Uber creates an algorithmic monopoly to extract rents. (April 9), http://mattstoller.tumblr.com/post/82233202309/ubers-algorithmic-monopoly-we-are-not-setting.Google Scholar
- (2016) On-demand service platforms. Working paper, University of California, Berkeley.Crossref, Google Scholar
- (2013) The value of reputation in an online freelance marketplace. Marketing Sci. 32(6):860–891.Link, Google Scholar
- (2014) The rise of the sharing economy: Estimating the impact of AirBnB on the hotel industry. Working Paper, Boston University, Boston.Google Scholar

