{"title":"多网络WINGS方法及其在创新项目选择中的应用","authors":"J. Michnik","doi":"10.1504/IJAMS.2018.10013135","DOIUrl":null,"url":null,"abstract":"The paper presents a comprehensive method for supporting important decisions with long-term consequences for an organisation. The proposed approach combines multiple weighted influence nonlinear gauge system (WINGS) networks into a single model comprising a broad analysis of benefits, opportunities, costs and risks (BOCR). Practicality of the presented solution is demonstrated with the illustrative example of selecting innovation projects.","PeriodicalId":38716,"journal":{"name":"International Journal of Applied Management Science","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"The WINGS method with multiple networks and its application to innovation projects selection\",\"authors\":\"J. Michnik\",\"doi\":\"10.1504/IJAMS.2018.10013135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a comprehensive method for supporting important decisions with long-term consequences for an organisation. The proposed approach combines multiple weighted influence nonlinear gauge system (WINGS) networks into a single model comprising a broad analysis of benefits, opportunities, costs and risks (BOCR). Practicality of the presented solution is demonstrated with the illustrative example of selecting innovation projects.\",\"PeriodicalId\":38716,\"journal\":{\"name\":\"International Journal of Applied Management Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Applied Management Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJAMS.2018.10013135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Applied Management Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJAMS.2018.10013135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MANAGEMENT","Score":null,"Total":0}
The WINGS method with multiple networks and its application to innovation projects selection
The paper presents a comprehensive method for supporting important decisions with long-term consequences for an organisation. The proposed approach combines multiple weighted influence nonlinear gauge system (WINGS) networks into a single model comprising a broad analysis of benefits, opportunities, costs and risks (BOCR). Practicality of the presented solution is demonstrated with the illustrative example of selecting innovation projects.