The Drill model: A renewed perspective adapted to the volatile, uncertain, complex and agile (VUCA) world to improve situation analysis and support decision-making
{"title":"The Drill model: A renewed perspective adapted to the volatile, uncertain, complex and agile (VUCA) world to improve situation analysis and support decision-making","authors":"Christine Dugoin-Clément","doi":"10.1016/j.ijinfomgt.2024.102786","DOIUrl":null,"url":null,"abstract":"<div><p>Traditional models that are dedicated to environment analysis and anticipation help deciders reinforce decision-making in both the academic and professional worlds. Nevertheless, as useful as these models are, it seems they are not effective, as shown by the lack of anticipation of the Russian invasion of Ukraine or of the different crisis observed in the African continent. Consequently, confrontation with reality made them incapable of predicting evolution, making those models unable to answer the new challenge induced by technology development, new phenomena and the developments that made the world increasingly volatile, uncertain, complex, and agile. This paper offers suggestions for a different approach that helps to embrace this complexity by proposing an inclusive model mixing both qualitative and quantitative analysis.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":null,"pages":null},"PeriodicalIF":20.1000,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0268401224000343","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Traditional models that are dedicated to environment analysis and anticipation help deciders reinforce decision-making in both the academic and professional worlds. Nevertheless, as useful as these models are, it seems they are not effective, as shown by the lack of anticipation of the Russian invasion of Ukraine or of the different crisis observed in the African continent. Consequently, confrontation with reality made them incapable of predicting evolution, making those models unable to answer the new challenge induced by technology development, new phenomena and the developments that made the world increasingly volatile, uncertain, complex, and agile. This paper offers suggestions for a different approach that helps to embrace this complexity by proposing an inclusive model mixing both qualitative and quantitative analysis.
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