Transaction or Membership? Impact on On-Demand Delivery Service Platforms’ Profits, Consumer Surplus, and Labor Welfare
Danna Chen , Yongwu Zhou , Xinxin Guan , Xiaogang Lin
Journal of Systems Science and Systems Engineering ›› 2022, Vol. 31 ›› Issue (5) : 563 -593.
Transaction or Membership? Impact on On-Demand Delivery Service Platforms’ Profits, Consumer Surplus, and Labor Welfare
In recent years, two pricing policies are commonly adopted by on-demand delivery service platforms (e.g., Meituan PaoTui and Costco) that provide delivery services to heterogeneous customers via self-scheduling providers. One called “transaction-based” pricing policy (TBPP) allows the platforms to determine a per-service wage paid to providers and a price charged to customers for each transaction. The other one called “membership-based” pricing policy (MBPP) also allows the platforms to announce a wage paid to providers but charge customers a membership fee for using an unlimited number of the services in a certain period (e.g., one month). This paper considers an on-demand delivery service platform with self-scheduling providers and two classes of customers (i.e., regular and frequent customers). We aim to analyze and compare the platform’s profits and welfare performances generated by the two pricing policies. If the number of regular customers and their preference for TBPP equal the number of frequent customers and their preference for MBPP, respectively, we show that compared with the MBPP, employing the TBPP is beneficial for the platform but is detrimental for customers and providers. However, adopting the MBPP (TBPP) can simultaneously benefit the platform, customers and providers if frequent customers’ preference for MBPP is higher (lower) than regular customers’ preference for TBPP or the number of frequent customers is larger (less) than regular customers.
On-demand delivery service platforms / pricing policies / profit / consumer surplus / labor welfare
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
Banerjee S, Riquelme C, Johari R (2015). Pricing in ride-share platforms: A queueing-theoretic approach. Available at SSRN 2568258. |
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
Colby C, Bell K (2016). The on-demand economy is growing, and not just for the young and wealthy. Harvard Business Review (April 14). |
| [12] |
Ghaffary S (2019). Pressure is mounting on food delivery app doordash to change its controversial tipping policy. Vox Recode (March 8). |
| [13] |
|
| [14] |
Hu M, Zhou Y (2020). Price, wage, and fixed commission in on-demand matching. Available at SSRN 2949513. |
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
Lu T, Zheng Z, Zhong Y (2021). Maximizing the benefits of an on-demand workforce: Fill rate-based allocation and coordination mechanisms. Available at SSRN 2783617. |
| [21] |
|
| [22] |
Nahmias S (1972). Optimal and approximate ordering policies for a pershable perishable product subject to stochastic demand. Ph.D. Dissertation, Northwestern University. |
| [23] |
|
| [24] |
Saltzman M (2018). How amazon prime now compares to instacart, walmart and other grocery delivery rivals. USA TODAY (May 15). |
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
/
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|
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