{"title":"技术说明-不确定网络效应下的收入波动","authors":"Opher Baron, Ming-Che Hu, Azarakhsh Malekian","doi":"10.1287/opre.2022.2302","DOIUrl":null,"url":null,"abstract":"What is the revenue prediction of a seller in selling digital goods when the seller does not have full information about the extent of externality of users? In “Technical Note—Revenue Volatility Under Uncertain Network Effects,” Baron, Hu, and Malekian address this question by characterizing how the seller’s revenue prediction depends on the underlying network structure and the available information to the seller.","PeriodicalId":19546,"journal":{"name":"Oper. Res.","volume":"17 1","pages":"2254-2263"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Technical Note - Revenue Volatility Under Uncertain Network Effects\",\"authors\":\"Opher Baron, Ming-Che Hu, Azarakhsh Malekian\",\"doi\":\"10.1287/opre.2022.2302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"What is the revenue prediction of a seller in selling digital goods when the seller does not have full information about the extent of externality of users? In “Technical Note—Revenue Volatility Under Uncertain Network Effects,” Baron, Hu, and Malekian address this question by characterizing how the seller’s revenue prediction depends on the underlying network structure and the available information to the seller.\",\"PeriodicalId\":19546,\"journal\":{\"name\":\"Oper. Res.\",\"volume\":\"17 1\",\"pages\":\"2254-2263\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Oper. Res.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1287/opre.2022.2302\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oper. Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1287/opre.2022.2302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Technical Note - Revenue Volatility Under Uncertain Network Effects
What is the revenue prediction of a seller in selling digital goods when the seller does not have full information about the extent of externality of users? In “Technical Note—Revenue Volatility Under Uncertain Network Effects,” Baron, Hu, and Malekian address this question by characterizing how the seller’s revenue prediction depends on the underlying network structure and the available information to the seller.