{"title":"公司研发支出与收益的回归模型","authors":"I. Horowitz","doi":"10.1109/IRET-EM.1960.5007524","DOIUrl":null,"url":null,"abstract":"Data were gathered on the research expenditures, sales, and profits of a sample of large firms which had been conducting organized research for 25 years or more. A linear relationship is hypothesized for explaining the size of the research budget. Several factors influencing the size of the research budget are examined. A regression model is developed for expressing the returns on R and D expenditures, with lags up to six years. Suggestions are made for the application and possible uses of the method by an individual firm.","PeriodicalId":382847,"journal":{"name":"IRE Transactions on Engineering Management","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1960-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Regression Models for Company Expenditures on and Returns from Research and Development\",\"authors\":\"I. Horowitz\",\"doi\":\"10.1109/IRET-EM.1960.5007524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data were gathered on the research expenditures, sales, and profits of a sample of large firms which had been conducting organized research for 25 years or more. A linear relationship is hypothesized for explaining the size of the research budget. Several factors influencing the size of the research budget are examined. A regression model is developed for expressing the returns on R and D expenditures, with lags up to six years. Suggestions are made for the application and possible uses of the method by an individual firm.\",\"PeriodicalId\":382847,\"journal\":{\"name\":\"IRE Transactions on Engineering Management\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1960-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IRE Transactions on Engineering Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRET-EM.1960.5007524\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IRE Transactions on Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRET-EM.1960.5007524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Regression Models for Company Expenditures on and Returns from Research and Development
Data were gathered on the research expenditures, sales, and profits of a sample of large firms which had been conducting organized research for 25 years or more. A linear relationship is hypothesized for explaining the size of the research budget. Several factors influencing the size of the research budget are examined. A regression model is developed for expressing the returns on R and D expenditures, with lags up to six years. Suggestions are made for the application and possible uses of the method by an individual firm.