{"title":"装备制造业创新不确定性信息监测模型研究——基于非连续性技术创新背景","authors":"Xie Yangchun","doi":"10.1109/ICIME.2010.5477879","DOIUrl":null,"url":null,"abstract":"A variety of uncertainties are involved in the activities for the discontinuous technological innovation of equipment manufacturing industry. As a result, enterprises are faced with great challenges when implementing the discontinuous technological innovation. These uncertainties not only cover various fields, but also have a strong time-varying property. This paper summarizes the information monitoring models into four types, i.e. single concentrating information monitoring model, multiple discrete information monitoring model, multiple short-distance information monitoring model, and multiple coordination information monitoring model. An enterprise's selection of the model for dynamic monitoring on the information of uncertainties determines its dynamic configuration of innovation resources and further influences its innovation performance.","PeriodicalId":382705,"journal":{"name":"2010 2nd IEEE International Conference on Information Management and Engineering","volume":"15 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on information monitoring model of uncertainties for innovation of equipment manufacturing industry: Under the context of discontinuous technological innovation\",\"authors\":\"Xie Yangchun\",\"doi\":\"10.1109/ICIME.2010.5477879\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A variety of uncertainties are involved in the activities for the discontinuous technological innovation of equipment manufacturing industry. As a result, enterprises are faced with great challenges when implementing the discontinuous technological innovation. These uncertainties not only cover various fields, but also have a strong time-varying property. This paper summarizes the information monitoring models into four types, i.e. single concentrating information monitoring model, multiple discrete information monitoring model, multiple short-distance information monitoring model, and multiple coordination information monitoring model. An enterprise's selection of the model for dynamic monitoring on the information of uncertainties determines its dynamic configuration of innovation resources and further influences its innovation performance.\",\"PeriodicalId\":382705,\"journal\":{\"name\":\"2010 2nd IEEE International Conference on Information Management and Engineering\",\"volume\":\"15 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd IEEE International Conference on Information Management and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIME.2010.5477879\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd IEEE International Conference on Information Management and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIME.2010.5477879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on information monitoring model of uncertainties for innovation of equipment manufacturing industry: Under the context of discontinuous technological innovation
A variety of uncertainties are involved in the activities for the discontinuous technological innovation of equipment manufacturing industry. As a result, enterprises are faced with great challenges when implementing the discontinuous technological innovation. These uncertainties not only cover various fields, but also have a strong time-varying property. This paper summarizes the information monitoring models into four types, i.e. single concentrating information monitoring model, multiple discrete information monitoring model, multiple short-distance information monitoring model, and multiple coordination information monitoring model. An enterprise's selection of the model for dynamic monitoring on the information of uncertainties determines its dynamic configuration of innovation resources and further influences its innovation performance.