{"title":"商业银行服务创新绩效的灰色关联分析","authors":"Meng Yong-hong, Guo Hong-lian, Hu Bin","doi":"10.1109/ICSSSM.2013.6602583","DOIUrl":null,"url":null,"abstract":"In order to analysis the influence factors of service innovation performance in commercial banks, this paper firstly set up an evaluation model of innovation performance in commercial banks, and used it in Industrial Commercial Bank of China(ICBC), The Bank of China (BC), China Construction Bank (CCB) and Bank of Communications, China(BCC). Secondly, sorted the influence factors as interior and exterior factors, therein, the exterior factors are supplier pushing, competitor driving and custom pulling, the interior factors are employee, investment and R&D institute. After collecting the relative data from memorabilia and annals of every bank, finally judged the influence degree of every factors through grey relational analysis theory. The result showed that the interior factors are more important than the exterior factors, the weightiness of factors from high to low are: R&D institute, employee, investment, custom pulling, supplier pushing, rival driving.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Grey relational analysis on service innovation performance in commercial banks\",\"authors\":\"Meng Yong-hong, Guo Hong-lian, Hu Bin\",\"doi\":\"10.1109/ICSSSM.2013.6602583\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to analysis the influence factors of service innovation performance in commercial banks, this paper firstly set up an evaluation model of innovation performance in commercial banks, and used it in Industrial Commercial Bank of China(ICBC), The Bank of China (BC), China Construction Bank (CCB) and Bank of Communications, China(BCC). Secondly, sorted the influence factors as interior and exterior factors, therein, the exterior factors are supplier pushing, competitor driving and custom pulling, the interior factors are employee, investment and R&D institute. After collecting the relative data from memorabilia and annals of every bank, finally judged the influence degree of every factors through grey relational analysis theory. The result showed that the interior factors are more important than the exterior factors, the weightiness of factors from high to low are: R&D institute, employee, investment, custom pulling, supplier pushing, rival driving.\",\"PeriodicalId\":354195,\"journal\":{\"name\":\"2013 10th International Conference on Service Systems and Service Management\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 10th International Conference on Service Systems and Service Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSSM.2013.6602583\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 10th International Conference on Service Systems and Service Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSSM.2013.6602583","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Grey relational analysis on service innovation performance in commercial banks
In order to analysis the influence factors of service innovation performance in commercial banks, this paper firstly set up an evaluation model of innovation performance in commercial banks, and used it in Industrial Commercial Bank of China(ICBC), The Bank of China (BC), China Construction Bank (CCB) and Bank of Communications, China(BCC). Secondly, sorted the influence factors as interior and exterior factors, therein, the exterior factors are supplier pushing, competitor driving and custom pulling, the interior factors are employee, investment and R&D institute. After collecting the relative data from memorabilia and annals of every bank, finally judged the influence degree of every factors through grey relational analysis theory. The result showed that the interior factors are more important than the exterior factors, the weightiness of factors from high to low are: R&D institute, employee, investment, custom pulling, supplier pushing, rival driving.