Two-Sided Flexibility in Platforms

Fuente: arXiv
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Main Authors: Freund, Daniel, Martin, Sébastien, Zhao, Jiayu Kamessi
Format: Preprint
Published: 2024
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author Freund, Daniel
Martin, Sébastien
Zhao, Jiayu Kamessi
author_facet Freund, Daniel
Martin, Sébastien
Zhao, Jiayu Kamessi
contents Flexibility is a cornerstone of operations management, crucial to hedge stochasticity in product demands, service requirements, and resource allocation. In two-sided platforms, flexibility is also two-sided and can be viewed as the compatibility of agents on one side with agents on the other side. Platform actions often influence the flexibility on either the demand or the supply side. But how should flexibility be jointly allocated across different sides? Whereas the literature has traditionally focused on only one side at a time, our work initiates the study of two-sided flexibility in matching platforms. We propose an abstract matching model in random graphs and identify the flexibility allocation that optimizes the expected size of a maximum matching. Our findings reveal that flexibility allocation is a first-order issue: for a given flexibility budget, the resulting matching size can vary greatly depending on how the budget is allocated. Moreover, even in the simple and symmetric settings we study, the quest for the optimal allocation is complicated. In particular, easy and costly mistakes can be made if the flexibility decisions on the demand and supply sides are optimized independently (e.g., by two different teams in the company), rather than jointly. To guide the search for optimal flexibility allocation, we uncover two effects - flexibility cannibalization and flexibility asymmetry - that govern when the optimal design places the flexibility budget only on one side or equally on both sides. In doing so we identify the study of two-sided flexibility as a significant aspect of platform efficiency.
format Preprint
id arxiv_https___arxiv_org_abs_2404_04709
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Two-Sided Flexibility in Platforms
Freund, Daniel
Martin, Sébastien
Zhao, Jiayu Kamessi
General Economics
Economics
Applications
Flexibility is a cornerstone of operations management, crucial to hedge stochasticity in product demands, service requirements, and resource allocation. In two-sided platforms, flexibility is also two-sided and can be viewed as the compatibility of agents on one side with agents on the other side. Platform actions often influence the flexibility on either the demand or the supply side. But how should flexibility be jointly allocated across different sides? Whereas the literature has traditionally focused on only one side at a time, our work initiates the study of two-sided flexibility in matching platforms. We propose an abstract matching model in random graphs and identify the flexibility allocation that optimizes the expected size of a maximum matching. Our findings reveal that flexibility allocation is a first-order issue: for a given flexibility budget, the resulting matching size can vary greatly depending on how the budget is allocated. Moreover, even in the simple and symmetric settings we study, the quest for the optimal allocation is complicated. In particular, easy and costly mistakes can be made if the flexibility decisions on the demand and supply sides are optimized independently (e.g., by two different teams in the company), rather than jointly. To guide the search for optimal flexibility allocation, we uncover two effects - flexibility cannibalization and flexibility asymmetry - that govern when the optimal design places the flexibility budget only on one side or equally on both sides. In doing so we identify the study of two-sided flexibility as a significant aspect of platform efficiency.
title Two-Sided Flexibility in Platforms
topic General Economics
Economics
Applications
url https://arxiv.org/abs/2404.04709