2024
Commitment on Volunteer Crowdsourcing Platforms: Implications for Growth and Engagement
Lo I, Manshadi V, Rodilitz S, Shameli A. Commitment on Volunteer Crowdsourcing Platforms: Implications for Growth and Engagement. Manufacturing & Service Operations Management 2024, 26: 1787-1805. DOI: 10.1287/msom.2020.0426.Peer-Reviewed Original ResearchFood Rescue U.S.Optimal myopic policyAdoption levelTwo-sided marketsOptimal design cruciallyMyopic policyTwo-sided platformsVolunteer management literatureMarket thicknessMarket participantsLevel of adoptionManagement literatureOnline appendixOptimal policyCrowdsourcing platformsConstant-factor approximationMarketVolunteer characteristicsPolicyFood recovery organizationsTrade-offsAdoptionTaskCommitmentPlatform
2022
Online Policies for Efficient Volunteer Crowdsourcing
Manshadi V, Rodilitz S. Online Policies for Efficient Volunteer Crowdsourcing. Management Science 2022, 68: 6572-6590. DOI: 10.1287/mnsc.2021.4220.Peer-Reviewed Original ResearchOnline policyTime-sensitive tasksFood Rescue U.S.Constant factor guaranteeMissed tasksCrowdsourcing platformsRandomized policyBipartite matchingTime-varying distributionFood recovery organizationsTask typeTaskDynamic programmingPlatformUpper boundNotificationSuccess cruciallyMarketing analyticsGabriel WeintraubFeasible solutionsMatch probabilityHardness resultsGuaranteesTradeoffPlatform data
2020
Online Policies for Efficient Volunteer Crowdsourcing
Manshadi V, Rodilitz S. Online Policies for Efficient Volunteer Crowdsourcing. 2020, 315-316. DOI: 10.1145/3391403.3399519.Peer-Reviewed Original ResearchOnline policyTime-sensitive tasksFood Rescue U.S.Constant factor guaranteeMissed tasksCrowdsourcing platformsRandomized policyBipartite matchingTime-varying distributionFood recovery organizationsTask typeTaskConstant factorNotificationPlatformUpper boundSuccess cruciallyMatch probabilityHardness resultsGuaranteesPlatform dataProbability