{"title":"工程提案的信息结构:建议竞争性提案的信息组件分类和信息内容的潜在度量","authors":"H. Sales","doi":"10.1109/IPCC.2008.4610240","DOIUrl":null,"url":null,"abstract":"The paper reports on the results of an ancillary study, arising out of a PhD research project about aerospace engineerspsila language in the workplace. The analysis shows that information in engineering proposals could be accounted for by a set of 39 discrete information types, called dasiaproposal componentspsila (PCs), belonging to four mutually-exclusive information categories. These are centred on the following foci: product (or solution); company, including engineering personnel; customer (and product) support; meta-discourse. This study suggests how data derived from analysing patterns of information structure may help engineers to evaluate past proposals, both successful and unsuccessful, with a view to improving future proposal documents.","PeriodicalId":131068,"journal":{"name":"2008 IEEE International Professional Communication Conference","volume":"33 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The information structure of engineering proposals: Suggesting a taxonomy of information components for competitive proposals and a potential metric for information content\",\"authors\":\"H. Sales\",\"doi\":\"10.1109/IPCC.2008.4610240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper reports on the results of an ancillary study, arising out of a PhD research project about aerospace engineerspsila language in the workplace. The analysis shows that information in engineering proposals could be accounted for by a set of 39 discrete information types, called dasiaproposal componentspsila (PCs), belonging to four mutually-exclusive information categories. These are centred on the following foci: product (or solution); company, including engineering personnel; customer (and product) support; meta-discourse. This study suggests how data derived from analysing patterns of information structure may help engineers to evaluate past proposals, both successful and unsuccessful, with a view to improving future proposal documents.\",\"PeriodicalId\":131068,\"journal\":{\"name\":\"2008 IEEE International Professional Communication Conference\",\"volume\":\"33 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Professional Communication Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPCC.2008.4610240\",\"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 Professional Communication Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPCC.2008.4610240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The information structure of engineering proposals: Suggesting a taxonomy of information components for competitive proposals and a potential metric for information content
The paper reports on the results of an ancillary study, arising out of a PhD research project about aerospace engineerspsila language in the workplace. The analysis shows that information in engineering proposals could be accounted for by a set of 39 discrete information types, called dasiaproposal componentspsila (PCs), belonging to four mutually-exclusive information categories. These are centred on the following foci: product (or solution); company, including engineering personnel; customer (and product) support; meta-discourse. This study suggests how data derived from analysing patterns of information structure may help engineers to evaluate past proposals, both successful and unsuccessful, with a view to improving future proposal documents.