{"title":"基于集群的国家创新评估方法","authors":"S. Onsel, F. Ulengin, O. Kabak","doi":"10.1109/IEMCE.2008.4617980","DOIUrl":null,"url":null,"abstract":"In this paper, 100 countries investigated by World Economic Forum are analyzed and compared according to their innovation and technological readiness related criteria for 2004 and 2007 respectively. In total, 15 criteria taken into consideration. The countries are clustered to find their respective position in terms of innovation and technological readiness. In order to improve the accuracy of the cluster analysis and to reduce the subjectivity, a combination of hierarchical and non-hierarchical clustering is used.","PeriodicalId":408691,"journal":{"name":"2008 IEEE International Engineering Management Conference","volume":"154 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A cluster-based approach for the innovation assessment of countries\",\"authors\":\"S. Onsel, F. Ulengin, O. Kabak\",\"doi\":\"10.1109/IEMCE.2008.4617980\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, 100 countries investigated by World Economic Forum are analyzed and compared according to their innovation and technological readiness related criteria for 2004 and 2007 respectively. In total, 15 criteria taken into consideration. The countries are clustered to find their respective position in terms of innovation and technological readiness. In order to improve the accuracy of the cluster analysis and to reduce the subjectivity, a combination of hierarchical and non-hierarchical clustering is used.\",\"PeriodicalId\":408691,\"journal\":{\"name\":\"2008 IEEE International Engineering Management Conference\",\"volume\":\"154 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Engineering Management Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMCE.2008.4617980\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Engineering Management Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMCE.2008.4617980","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A cluster-based approach for the innovation assessment of countries
In this paper, 100 countries investigated by World Economic Forum are analyzed and compared according to their innovation and technological readiness related criteria for 2004 and 2007 respectively. In total, 15 criteria taken into consideration. The countries are clustered to find their respective position in terms of innovation and technological readiness. In order to improve the accuracy of the cluster analysis and to reduce the subjectivity, a combination of hierarchical and non-hierarchical clustering is used.
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