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
2021
Information Inundation on Platforms and Implications
Allon G, Drakopoulos K, Manshadi V. Information Inundation on Platforms and Implications. Operations Research 2021, 69: 1784-1804. DOI: 10.1287/opre.2021.2119.Peer-Reviewed Original ResearchInformation inundationPeople access newsInformation sourcesEvolution of beliefsLearning processSpeed of learningConsuming newsInformation consumptionBelief distributionProlonged learning processSocial platformsProcess of learningOpinion formationPsychological biasesPresence of platformsSlow learningGad AllonPolitical mapNewsPresence of uncertaintyLearningMenu sizePlatformConsumer informationInformationLearning Product Rankings Robust to Fake Users
Golrezaei N, Manshadi V, Schneider J, Sekar S. Learning Product Rankings Robust to Fake Users. 2021, 560-561. DOI: 10.1145/3465456.3467580.Peer-Reviewed Original ResearchFake usersLearning algorithmsSub-optimal rankingsEfficient learning algorithmNew learning algorithmsCustomer actionsImplementing multiple levelsFraudulent behaviorFraudulent usersPerformance guaranteesIncurring large costsOptimal rankingOnline platformsUsersPairwise relationshipsClick farmingAlgorithmRanking robustnessProduct rankingInformation environmentCross-learningEfficient convergencePlatformLearningLearning process
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