Mechanism Design under Non-Connected and Fragmented Type Spaces: Applications to Multi-Platform Marketplaces

Prasad et al. (2025) break new ground by handling complex informational constraints and non-connected type spaces; however, most marketplace models still assume connectedness or homogeneity in agent types. In reality, modern digital markets are highly fragmented—think of ride-sharing platforms with disjoint driver pools, or auction markets with isolated communities. This research would develop new mechanism design tools for fragmented type spaces, exploring allocation, pricing, and incentive constraints when participants’ feasible actions and types are fundamentally segmented (e.g., by region, regulation, or platform). Building on the network flow structure identified by Prasad et al., one could, for instance, develop multi-platform auction mechanisms that optimize both within- and across-fragment allocations, seeking new welfare/revenue tradeoffs. The novelty: directly modeling and designing for market fragmentation, rather than smoothing it away, with the potential to inform policies for interoperability and cross-platform competition.

References:

1. Revenue-Optimal Efficient Mechanism Design with General Type Spaces. Siddharth Prasad, Maria-Florina Balcan, T. Sandholm (2025). arXiv.org.