The Role of Surge Pricing on a Service Platform with Self-Scheduling Capacity

نویسندگان

  • Gérard P. Cachon
  • Kaitlin M. Daniels
  • Ruben Lobel
چکیده

Recent platforms, like Uber and Lyft, offer service to consumers via “self-scheduling” providers who decide for themselves how often to work. These platforms may charge consumers prices and pay providers wages that both adjust based on prevailing demand conditions. For example, Uber uses a “surge pricing” policy, which pays providers a fixed commission of its dynamic price. We find that the optimal contract substantially increases the platform’s profit relative to contracts that have a fixed price or fixed wage (or both) and although surge pricing is not optimal, it generally achieves nearly the optimal profit. Despite its merits for the platform, surge pricing has been criticized in the press and has garnered the attention of regulators due to concerns for the welfare of providers and consumers. However, we find that providers and consumers are generally better off with surge pricing because providers are better utilized and consumers benefit both from lower prices during normal demand and expanded access to service during peak demand. We conclude, in contrast to popular criticism, that all stakeholders can benefit from the use of surge pricing on a platform with self-scheduling capacity.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Effect of Platform Surge Motion on the Performance of 5MW NREL Offshore Floating Wind Turbine

In this study, an unsteady aerodynamic simulation is performed to realize the influences of platform surge motion on the aerodynamic performance of a high capacity offshore floating wind turbine. A dynamic model with pitch angle control system is utilized to propose a more realistic model of wind turbine and also achieve the rated condition of the rotor. The transient effect of platform surge m...

متن کامل

Strategic Surge Pricing and Forecast Communication on On-Demand Service Platforms

On-demand service platforms (e.g., Uber, Lyft) match consumers with independent workers nearby at short notice. To manage fluctuating supply and demand conditions across market locations (zones), many on-demand platforms provide market forecasts to workers and practice surge pricing, wherein the price in a particular zone is temporarily raised above the regular price. We jointly analyze the str...

متن کامل

Strategic Pricing and Forecast Communication on On-Demand Service Platforms

On-demand service platforms (e.g., Uber, Lyft) match consumers with independent workers nearby at short notice. To manage uctuating supply and demand conditions across market locations (zones), many on-demand platforms provide market forecasts to workers and practice surge pricing, wherein the price in a particular zone is temporarily raised above the regular price. We jointly analyze the strat...

متن کامل

Self-scheduling of EV aggregators in Energy market based on Time-of-Use Pricing

This paper presents a new solution for the self-planning task of private EV aggregators to realize higher profits in distribution networks. Since the model is proposed from the EV aggregator's viewpoint, the corresponding effects of the aggregator's profit-seeking approach on the grid such as the power losses and voltage levels might be unknown or even negative. To address this issue, a commerc...

متن کامل

Integrated model for pricing, delivery time setting, and scheduling in make-to-order environments

Usually, in make-to-order environments which work only in response to the customer’s orders, manufacturers for maximizing the profits should offer the best price and delivery time for an order considering the existing capacity and the customer’s sensitivity to both the factors. In this paper, an integrated approach for pricing, delivery time setting and scheduling of new arrival orders are prop...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Manufacturing & Service Operations Management

دوره 19  شماره 

صفحات  -

تاریخ انتشار 2017