{"title":"多选项医疗保健服务系统的市场细分——聚类分析的应用。","authors":"G R Jarboe, R H Gates, C D McDaniel","doi":"10.1300/J273v03n02_09","DOIUrl":null,"url":null,"abstract":"<p><p>Healthcare providers of multiple option plans may be confronted with special market segmentation problems. This study demonstrates how cluster analysis may be used for discovering distinct patterns of preference for multiple option plans. The availability of metric, as opposed to categorical or ordinal, data provides the ability to use sophisticated analysis techniques which may be superior to frequency distributions and cross-tabulations in revealing preference patterns.</p>","PeriodicalId":79661,"journal":{"name":"Journal of ambulatory care marketing","volume":"3 2","pages":"101-12"},"PeriodicalIF":0.0000,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Market segmentation for multiple option healthcare delivery systems--an application of cluster analysis.\",\"authors\":\"G R Jarboe, R H Gates, C D McDaniel\",\"doi\":\"10.1300/J273v03n02_09\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Healthcare providers of multiple option plans may be confronted with special market segmentation problems. This study demonstrates how cluster analysis may be used for discovering distinct patterns of preference for multiple option plans. The availability of metric, as opposed to categorical or ordinal, data provides the ability to use sophisticated analysis techniques which may be superior to frequency distributions and cross-tabulations in revealing preference patterns.</p>\",\"PeriodicalId\":79661,\"journal\":{\"name\":\"Journal of ambulatory care marketing\",\"volume\":\"3 2\",\"pages\":\"101-12\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of ambulatory care marketing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1300/J273v03n02_09\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of ambulatory care marketing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1300/J273v03n02_09","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Market segmentation for multiple option healthcare delivery systems--an application of cluster analysis.
Healthcare providers of multiple option plans may be confronted with special market segmentation problems. This study demonstrates how cluster analysis may be used for discovering distinct patterns of preference for multiple option plans. The availability of metric, as opposed to categorical or ordinal, data provides the ability to use sophisticated analysis techniques which may be superior to frequency distributions and cross-tabulations in revealing preference patterns.