Dogan, Mustafa and Jacquillat, Alexandre (2025) On-demand service sharing via collective dynamic pricing. Manufacturing & Service Operations Management. ISSN 1523-4614
Preview |
PDF (Dogan_Electronic_companion_to_on-demand_service_sharing_2025_AAM)
- Accepted Version
Available under License Unspecified licence. Download (47MB) | Preview |
Abstract
Problem definition: This paper studies an on-demand service sharing problem, motivated by emerging operating models in ride-sharing, food delivery and made-to-order manufacturing. Time-sensitive customers arrive dynamically onto a platform with heterogenous willingness to pay and private information. The platform can serve each customer individually or pool customers together, giving rise to interdependencies between customers and over time. This goal is to optimize who to serve, when, and at what price. Methodology/results: We formulate a dynamic allocation and pricing mechanism to maximize the platform's expected discounted profits, subject to incentive compatibility and individual rationality constraints. We prove that the problem can be decomposed via dynamic programming, based on the novel notion of \emph{collective virtual value} defined as the marginal revenue that the platform can extract from all customers. The optimal mechanism follows a simple, easily-implementable index rule: service is provided whenever the collective virtual value exceeds a threshold that decreases with the number of available suppliers. Managerial implications: Service sharing enables temporal discrimination: the platform provides immediate or delayed services based on customers' own willingness to pay but also on the time of their requests and demand from other customers. In practice, on-demand service sharing can be managed via a dynamic menu to offer differentiated service levels and prices, trading off cost-minimization, demand-supply management, and discriminatory objectives. Our results show that even simple dynamic menus can outperform benchmarks based on posted prices, and can lead to win-win outcomes for the platform and consumers.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | dynamic mechanism design,on-demand platforms,service sharing,non-rival goods. |
| Faculty \ School: | Faculty of Social Sciences > School of Economics |
| UEA Research Groups: | Faculty of Social Sciences > Research Groups > Economic Theory |
| Depositing User: | LivePure Connector |
| Date Deposited: | 11 Nov 2025 14:30 |
| Last Modified: | 13 Nov 2025 10:30 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/100947 |
| DOI: | 10.1287/msom.2024.1301 |
Downloads
Downloads per month over past year
Actions (login required)
![]() |
View Item |
Tools
Tools