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Models and Methods to Estimate Digitalization Success Predictively

机译:预测数字化成功的模型和方法

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The article outlines models of the formation of digitalization effects on the example of modern information (that is - digital) operations use in technological systems and methods to estimate indicators of digitalization success predictively. Models and methods constructed based on graph theory, probability theory and technical systems efficiency theory. Models describe changes in non-information operations as a result of the use of information operations as a reaction to environment change and then - to estimate effects of non-information operations in changing environments. Such models and methods can be used, for example, to estimate the digitalization performance, efficiency, and effectiveness indicators based on predictive mathematical models of information technology usage. Such models could be used for the estimation of dynamic capability and indicators of system potential as a result of technological systems digitalization. The estimation of mentioned operational properties of digitalization is obtained by plotting the dependences of predicted values of operational properties of the use of information technology as a result of digitalization against the variables and options of the problems to be solved.
机译:该文章概述了数字化效应的形成模型,这些效应的现代信息(即 - 数字)操作在技术系统和方法中使用的方法,以预测数字化成功的指标。基于图理论,概率理论和技术系统效率理论构建的模型和方法。模型描述了非信息操作的变化,因为使用信息操作作为对环境变化的反应,然后 - 估计非信息操作在更改环境中的影响。例如,可以使用这种模型和方法来估计基于信息技术使用的预测数学模型来估计数字化性能,效率和有效性指标。由于技术系统数字化,这些模型可用于估计动态能力和系统潜力指标。通过绘制使用信息技术的使用的预测值的依赖性作为数字化的变量和要解决的问题的选项来绘制信息技术的操作性质的依赖性的依据来估计数字化的估计。

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