{"title":"Modelling The Development Of EU Digital Business","authors":"O. Pyroh, I. Oleksiv, PhD. Anastasiya Poritska","doi":"10.36228/mj.11/2021.2","DOIUrl":null,"url":null,"abstract":". The article deals with identifying and studying factors influencing the formation and development of digital business according to correlation analysis in order to simulate its development. It proves the relationship between digital business, imports of goods and services and employment rate. The model of digital business development is created. Excluding factors with low correlation based on Pearson’s coefficient and multicollinear factors, the authors create a two-factor model of digital business development. Using trend forecast values of the chosen factors, digital business development forecast is carried out. Autocorrelation of residuals is detected and the simulation modelling is performed.","PeriodicalId":43900,"journal":{"name":"Time & Mind-The Journal of Archaeology Consciousness and Culture","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Time & Mind-The Journal of Archaeology Consciousness and Culture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36228/mj.11/2021.2","RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ARCHAEOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
. The article deals with identifying and studying factors influencing the formation and development of digital business according to correlation analysis in order to simulate its development. It proves the relationship between digital business, imports of goods and services and employment rate. The model of digital business development is created. Excluding factors with low correlation based on Pearson’s coefficient and multicollinear factors, the authors create a two-factor model of digital business development. Using trend forecast values of the chosen factors, digital business development forecast is carried out. Autocorrelation of residuals is detected and the simulation modelling is performed.