{"title":"垂直差异化信息市场的价格动态","authors":"J. Sairamesh, J. Kephart","doi":"10.1145/288994.289000","DOIUrl":null,"url":null,"abstract":"We e@ore the price dynamicsof a verticallyMkmntiated marketin which two or more sellers compete to providean informationgood orserviceto a populationof lmyers.Each sellerofh-s the good or serviceat a iixed levd of “quality”, and attempts to set its price in sud a way that it mtities its om profit. Five dii%rentsellerpricingstrategies, rangingwidelyfrom onesthat requireperfectknowledgeand unlimitedcomputationalpowerto onesthat requireverylittle lmowledgeor computationalcapability,are employedin two d.ifkmntbuyer populations, and the resulting collective dynamics are studied using a comb-mationof analysis and simulation. In a population of quality-sensitivebuyers, all pricing strategieslead to a ptice eqpilibriutnpredictedby a game-theoreticanalysis. However,in a population of price-sensitivebuyers,most pricingstrategieslead to large-amplitudecyclicalprice wars. The circumstancesunderwhichcyclicalpricewarsoccurcanbe explainedin terms of the topology of an underlying’>rofit landscape” [1].","PeriodicalId":147821,"journal":{"name":"International Conference on Information and Computation Economies","volume":"390 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"52","resultStr":"{\"title\":\"Price dynamics of vertically differentiated information markets\",\"authors\":\"J. Sairamesh, J. Kephart\",\"doi\":\"10.1145/288994.289000\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We e@ore the price dynamicsof a verticallyMkmntiated marketin which two or more sellers compete to providean informationgood orserviceto a populationof lmyers.Each sellerofh-s the good or serviceat a iixed levd of “quality”, and attempts to set its price in sud a way that it mtities its om profit. Five dii%rentsellerpricingstrategies, rangingwidelyfrom onesthat requireperfectknowledgeand unlimitedcomputationalpowerto onesthat requireverylittle lmowledgeor computationalcapability,are employedin two d.ifkmntbuyer populations, and the resulting collective dynamics are studied using a comb-mationof analysis and simulation. In a population of quality-sensitivebuyers, all pricing strategieslead to a ptice eqpilibriutnpredictedby a game-theoreticanalysis. However,in a population of price-sensitivebuyers,most pricingstrategieslead to large-amplitudecyclicalprice wars. The circumstancesunderwhichcyclicalpricewarsoccurcanbe explainedin terms of the topology of an underlying’>rofit landscape” [1].\",\"PeriodicalId\":147821,\"journal\":{\"name\":\"International Conference on Information and Computation Economies\",\"volume\":\"390 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"52\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Information and Computation Economies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/288994.289000\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Information and Computation Economies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/288994.289000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Price dynamics of vertically differentiated information markets
We e@ore the price dynamicsof a verticallyMkmntiated marketin which two or more sellers compete to providean informationgood orserviceto a populationof lmyers.Each sellerofh-s the good or serviceat a iixed levd of “quality”, and attempts to set its price in sud a way that it mtities its om profit. Five dii%rentsellerpricingstrategies, rangingwidelyfrom onesthat requireperfectknowledgeand unlimitedcomputationalpowerto onesthat requireverylittle lmowledgeor computationalcapability,are employedin two d.ifkmntbuyer populations, and the resulting collective dynamics are studied using a comb-mationof analysis and simulation. In a population of quality-sensitivebuyers, all pricing strategieslead to a ptice eqpilibriutnpredictedby a game-theoreticanalysis. However,in a population of price-sensitivebuyers,most pricingstrategieslead to large-amplitudecyclicalprice wars. The circumstancesunderwhichcyclicalpricewarsoccurcanbe explainedin terms of the topology of an underlying’>rofit landscape” [1].