{"title":"网络效应:向证据进发,而不是向口号进发","authors":"David S. Evans, R. Schmalensee","doi":"10.2139/ssrn.3027691","DOIUrl":null,"url":null,"abstract":"Though network effects are important for multisided platforms, the simple winner-take-all notion that they always give larger platforms an insurmountable advantage over smaller rivals has been disproven by numerous counterexamples. It is now being argued that big data is power, so that a firm that has more customer data than its rivals has an insurmountable advantage over them. This argument has no theoretical or empirical support, and it, too, has been disproven by numerous counterexamples.","PeriodicalId":281108,"journal":{"name":"ERPN: Industrial Organization (Topic)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Network Effects: March to the Evidence, Not to the Slogans\",\"authors\":\"David S. Evans, R. Schmalensee\",\"doi\":\"10.2139/ssrn.3027691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Though network effects are important for multisided platforms, the simple winner-take-all notion that they always give larger platforms an insurmountable advantage over smaller rivals has been disproven by numerous counterexamples. It is now being argued that big data is power, so that a firm that has more customer data than its rivals has an insurmountable advantage over them. This argument has no theoretical or empirical support, and it, too, has been disproven by numerous counterexamples.\",\"PeriodicalId\":281108,\"journal\":{\"name\":\"ERPN: Industrial Organization (Topic)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERPN: Industrial Organization (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3027691\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERPN: Industrial Organization (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3027691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Network Effects: March to the Evidence, Not to the Slogans
Though network effects are important for multisided platforms, the simple winner-take-all notion that they always give larger platforms an insurmountable advantage over smaller rivals has been disproven by numerous counterexamples. It is now being argued that big data is power, so that a firm that has more customer data than its rivals has an insurmountable advantage over them. This argument has no theoretical or empirical support, and it, too, has been disproven by numerous counterexamples.