Estimating Sparse Spatial Demand to Manage Crowdsourced Supply in the Sharing Economy

This paper develops a structural approach to guide provider relationship management decisions by a sharing economy platform that crowdsources supply.

Authors

Valeria Stourm (ORCID: https://orcid.org/0000-0001-7694-5535)
Ludovic Stourm (ORCID: https://orcid.org/0000-0002-5477-2992)

Institutions

HEC Paris (FR)

Publication Details

Journal: Marketing Science
Published: 2024-11-28
DOI: https://doi.org/10.1287/mksc.2022.0458
Citations: 1
Primary Topic: Sharing Economy and Platforms
Type: article
Field-Weighted Citation Impact: 0.44

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article

Estimating Sparse Spatial Demand to Manage Crowdsourced Supply in the Sharing Economy

Valeria Stourm, Ludovic Stourm

Nov 28, 2024

1 citations

Marketing Science

Sharing Economy and Platforms

0.44

article

Estimating Sparse Spatial Demand to Manage Crowdsourced Supply in the Sharing Economy

Valeria Stourm, Ludovic Stourm

November 28, 2024article en

1 citations

Abstract

This paper develops a structural approach to guide provider relationship management decisions by a sharing economy platform that crowdsources supply.

Marketing ScienceVol. 44(4)

HEC Paris (FR)

Openalex Percentile: Top 25%

Sharing Economy and Platforms

0.44

DOI Source OpenAlex

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Estimating Sparse Spatial Demand to Manage Crowdsourced Supply in the Sharing Economy — Valeria Stourm, Ludovic Stourm · Marketing Science (2024) | TGRS Research Map | TGRS