{"title":"利益相关者参与共识标准制定的协作模式","authors":"Pradeep Balachandran, C. Carey","doi":"10.1109/LSC.2018.8572273","DOIUrl":null,"url":null,"abstract":"This paper asserts the importance of collaborative stakeholder participation and the need for a process measurement model to improve the performance of consensus building in standards development. A systems engineering based process behavior measurement model is proposed. The model is capable of detecting critical events and trends across the consensus building life cycle; thereby, improving the process performance in producing optimal outcomes. In this behavior model, the measures of specific attributes of the underlying consensus process are used to compute metrics that can be analyzed. They provide course and fine indicators process performance in terms of stability assessment, risk tracking and workflow evaluation. The proposed model may help guide an evidence-based metrics program for Standards Development Organizations (SDOs) to build equitable and accountable assessment platforms for stakeholder engagement in consesus standards development.","PeriodicalId":254835,"journal":{"name":"2018 IEEE Life Sciences Conference (LSC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Collaborative Model for Stakeholder Engagement in Consensus Standards Development\",\"authors\":\"Pradeep Balachandran, C. Carey\",\"doi\":\"10.1109/LSC.2018.8572273\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper asserts the importance of collaborative stakeholder participation and the need for a process measurement model to improve the performance of consensus building in standards development. A systems engineering based process behavior measurement model is proposed. The model is capable of detecting critical events and trends across the consensus building life cycle; thereby, improving the process performance in producing optimal outcomes. In this behavior model, the measures of specific attributes of the underlying consensus process are used to compute metrics that can be analyzed. They provide course and fine indicators process performance in terms of stability assessment, risk tracking and workflow evaluation. The proposed model may help guide an evidence-based metrics program for Standards Development Organizations (SDOs) to build equitable and accountable assessment platforms for stakeholder engagement in consesus standards development.\",\"PeriodicalId\":254835,\"journal\":{\"name\":\"2018 IEEE Life Sciences Conference (LSC)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Life Sciences Conference (LSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LSC.2018.8572273\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Life Sciences Conference (LSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LSC.2018.8572273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Collaborative Model for Stakeholder Engagement in Consensus Standards Development
This paper asserts the importance of collaborative stakeholder participation and the need for a process measurement model to improve the performance of consensus building in standards development. A systems engineering based process behavior measurement model is proposed. The model is capable of detecting critical events and trends across the consensus building life cycle; thereby, improving the process performance in producing optimal outcomes. In this behavior model, the measures of specific attributes of the underlying consensus process are used to compute metrics that can be analyzed. They provide course and fine indicators process performance in terms of stability assessment, risk tracking and workflow evaluation. The proposed model may help guide an evidence-based metrics program for Standards Development Organizations (SDOs) to build equitable and accountable assessment platforms for stakeholder engagement in consesus standards development.