{"title":"理解交付延迟:私人交付时间信息在基于奖励的众筹中的作用","authors":"Xiayang Wang, Chiyin Sun, Yanli Tang","doi":"10.1016/j.tre.2025.104141","DOIUrl":null,"url":null,"abstract":"<div><div>We analyze a crowdfunding market with backers, a platform, and a creator to identify potential causes of delivery delay issues and evaluate the effectiveness of solutions. There are two types of actual delivery times for the creator, and the delivery time of the high-type is stochastically faster than the delivery time of the low-type. We first analyze the promised delivery time decisions and the first-best expected profits of the two types of creators in the symmetric-information scenario. We then characterize an effective reimbursement rate, which is the minimal amount that a creator is required to pay for each delayed delivery, and find that this rate can fully prevent the delivery delay. In the asymmetric-information scenario, where the creator type is private information, we fully obtain the perfect Bayesian equilibrium by specifying the costly and costless separating equilibrium and the pooling equilibrium. Importantly, we demonstrate that the effective reimbursement rate mentioned earlier cannot prevent delays caused by a high-type creator’s distortion in determining the promised delivery time, highlighting the flaw of the reimbursement policy. Surprisingly, increasing a low-type’s delivery inefficiency degree always harms the low-type creator but does not necessarily benefit the high-type. Finally, we discuss how the platform could fix the reimbursement policy’s flaw and check the robustness of our findings by relaxing assumptions.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104141"},"PeriodicalIF":8.3000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding delivery delays: The role of private delivery time information in reward-based crowdfunding\",\"authors\":\"Xiayang Wang, Chiyin Sun, Yanli Tang\",\"doi\":\"10.1016/j.tre.2025.104141\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We analyze a crowdfunding market with backers, a platform, and a creator to identify potential causes of delivery delay issues and evaluate the effectiveness of solutions. There are two types of actual delivery times for the creator, and the delivery time of the high-type is stochastically faster than the delivery time of the low-type. We first analyze the promised delivery time decisions and the first-best expected profits of the two types of creators in the symmetric-information scenario. We then characterize an effective reimbursement rate, which is the minimal amount that a creator is required to pay for each delayed delivery, and find that this rate can fully prevent the delivery delay. In the asymmetric-information scenario, where the creator type is private information, we fully obtain the perfect Bayesian equilibrium by specifying the costly and costless separating equilibrium and the pooling equilibrium. Importantly, we demonstrate that the effective reimbursement rate mentioned earlier cannot prevent delays caused by a high-type creator’s distortion in determining the promised delivery time, highlighting the flaw of the reimbursement policy. Surprisingly, increasing a low-type’s delivery inefficiency degree always harms the low-type creator but does not necessarily benefit the high-type. Finally, we discuss how the platform could fix the reimbursement policy’s flaw and check the robustness of our findings by relaxing assumptions.</div></div>\",\"PeriodicalId\":49418,\"journal\":{\"name\":\"Transportation Research Part E-Logistics and Transportation Review\",\"volume\":\"200 \",\"pages\":\"Article 104141\"},\"PeriodicalIF\":8.3000,\"publicationDate\":\"2025-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part E-Logistics and Transportation Review\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1366554525001826\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part E-Logistics and Transportation Review","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1366554525001826","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Understanding delivery delays: The role of private delivery time information in reward-based crowdfunding
We analyze a crowdfunding market with backers, a platform, and a creator to identify potential causes of delivery delay issues and evaluate the effectiveness of solutions. There are two types of actual delivery times for the creator, and the delivery time of the high-type is stochastically faster than the delivery time of the low-type. We first analyze the promised delivery time decisions and the first-best expected profits of the two types of creators in the symmetric-information scenario. We then characterize an effective reimbursement rate, which is the minimal amount that a creator is required to pay for each delayed delivery, and find that this rate can fully prevent the delivery delay. In the asymmetric-information scenario, where the creator type is private information, we fully obtain the perfect Bayesian equilibrium by specifying the costly and costless separating equilibrium and the pooling equilibrium. Importantly, we demonstrate that the effective reimbursement rate mentioned earlier cannot prevent delays caused by a high-type creator’s distortion in determining the promised delivery time, highlighting the flaw of the reimbursement policy. Surprisingly, increasing a low-type’s delivery inefficiency degree always harms the low-type creator but does not necessarily benefit the high-type. Finally, we discuss how the platform could fix the reimbursement policy’s flaw and check the robustness of our findings by relaxing assumptions.
期刊介绍:
Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management.
Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.