Pricing decisions of car aggregation platforms in sharing economy: a developing economy perspective
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Unlike developed economies, developing economies lack surplus assets that have fueled the growth of sharing economy through various digital platforms. In this research, we build a system dynamics model of a ride sharing platform in a developing country that endogenizes the growth of the platform in the presence of stickiness of the asset provider, since platform growth can occur only through new investments in assets that have limited utility outside the platform. Our modeling approach enables capture of two-sided positive network externalities and the same-side negative externalities together in the same framework. Simulations illustrate that the pricing and incentive decisions taken by the platform to overcome the problem of initial asset unavailability have long-term consequences on various parameters of performance of the platform such as driver’s profits, platform revenues, and the level of prices of services.
KeywordsRide sharing platforms Pricing and incentives System dynamics Simulation Network effects
- Castillo, J.C., Knoepfle, D., and Wyle, G. 2017 Surge pricing solves the wild goose chase. Proceedings of the 2017 ACM Conference on Economics and Computation. pp. 1–2.Google Scholar
- Choudary, S.P. 2013. Why business models fail: Pipes vs. platforms. Wired. https://www.wired.com/insights/2013/10/why-business-models-fail-pipes-vs-platforms/.
- Cramer, J. and Krueger, A.B. 2015. Disruptive change in the taxi business: The case of Uber Judd Cramer and Alan B. Krueger. Princeton: Princeton University. https://doi.org/10.1257/aer.p20161002. Accessed 31 Dec 2015.
- Einav, L., C. Farronato, and J. Levin. 2015. Peer-to-peer markets. SIEPR Discussion Paper 15 (29): 1–34.Google Scholar
- Evans, D.S., and R. Schmalensee. 2016. The matchmakers: The new economics of multisided platforms. Boston: Harvard Business School Publishing.Google Scholar
- Express, F. 2017. Uber, Ola cab drivers go on three-day strike in Guwahati after income plunges from Rs 75,000 to Rs 25,000 p.m., Financial Express. http://www.financialexpress.com/industry/uber-ola-cab-drivers-go-on-three-day-strike-in-guwahati-after-income-plunges-from-rs-75000-to-rs-25000-p-m/691080/. Accessed 6 Oct 2017.
- Fang, Z., Huang, L. and Wierman, A. 2016. Prices and subsidies in the sharing economy http://arxiv.org/abs/1604.01627.
- Forrester, J.W. 1996. Industrial dynamics. Waltham, MA: Pegasus Communication.Google Scholar
- Gurvich, I., Lariviere, M. and Moreno, A. 2016. Operations in the on-demand economy: Staffing services with self-scheduling capacity. Ssrn, p. 27.Google Scholar
- Hall, J., Kendrick, C. and Nosko, C. 2015. The effects of uber’ s surge pricing: A case study, mimeo.Google Scholar
- Jacob, J. and Roet-green, R. 2017. Ride solo or pool: The impact of sharing on optimal pricing of ride-sharing services.Google Scholar
- Paul, B. 2017. Ola, Uber drivers go on strike in Bangalore as talks fail; one attempts suicide. Tech Circle. http://techcircle.vccircle.com/2017/02/16/ola-uber-drivers-go-on-strike-in-bangalore-as-talks-fail-one-attempts-suicide/. Accessed 26 Mar 2016.
- Richardson, G.P. 1996. Modeling for management. Dartmouth: Aldershot.Google Scholar
- Rifkin, J. 2016. Market share. RSA (Royal Society for the Encouragement of Arts, Manufactures and Commerce) Journal. f//medium.com/rsa-journal/market-share-8f028c7abcc7#.ml7z37v6u.
- Senge, P.M., and J.W. Forrester. 1980. Tests for building confidence in system dynamics models. System Dynamics, TIMS Studies in Management Sciences 14: 209–228.Google Scholar
- Shah, A. 2017. Uber reviews India leasing scheme as driver incomes drop. Reuters. http://www.reuters.com/article/us-uber-tech-india-analysis-idUSKBN16V04Z.
- Sundararajan, A. 2016. The sharing economy: The end of employment and the rise of crowd-based capitalism. https://books.google.com/books?id=F-iEjgEACAAJ&pgis=1.