The information structure of engineering proposals: Suggesting a taxonomy of information components for competitive proposals and a potential metric for information content
{"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}
引用次数: 3
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.