{"title":"使图形管理模型更智能","authors":"Harald Bergsteiner, G. Avery","doi":"10.19030/IBER.V2I12.3868","DOIUrl":null,"url":null,"abstract":"In management, graphic models are an undervalued and poorly used form of theory-building and communication that should be treated with the same rigor that is commonly demanded of text. Graphic models are highly effective for depicting and explaining organizational complexity when designed appropriately. Using two mutual influence models in accountability as an example, we point out common flaws in modelling, and suggest guidelines on how to make graphic models smarter.","PeriodicalId":406250,"journal":{"name":"International Business & Economics Research Journal","volume":"353 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Making graphic management models smarter\",\"authors\":\"Harald Bergsteiner, G. Avery\",\"doi\":\"10.19030/IBER.V2I12.3868\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In management, graphic models are an undervalued and poorly used form of theory-building and communication that should be treated with the same rigor that is commonly demanded of text. Graphic models are highly effective for depicting and explaining organizational complexity when designed appropriately. Using two mutual influence models in accountability as an example, we point out common flaws in modelling, and suggest guidelines on how to make graphic models smarter.\",\"PeriodicalId\":406250,\"journal\":{\"name\":\"International Business & Economics Research Journal\",\"volume\":\"353 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Business & Economics Research Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.19030/IBER.V2I12.3868\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Business & Economics Research Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.19030/IBER.V2I12.3868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In management, graphic models are an undervalued and poorly used form of theory-building and communication that should be treated with the same rigor that is commonly demanded of text. Graphic models are highly effective for depicting and explaining organizational complexity when designed appropriately. Using two mutual influence models in accountability as an example, we point out common flaws in modelling, and suggest guidelines on how to make graphic models smarter.