THEROLEOFMATHEMATICALMODELINGINDIGITALECONOMYDEVELOPMENT
Abstract
Thisarticleanalyzestheroleandimportanceofmathematicalmodelinginthedevelopmentofthedigitaleconomy.Inmoderneconomicsystems,wheredigitaltechnologiesanddata-drivenprocessesarerapidlyexpanding,mathematicalmodelsplayacrucialroleinunderstanding,analyzing,andpredictingcomplexeconomicphenomena.Mathematicalmodelingallowsresearcherstorepresentrealeconomicprocessesintheformofmathematicalrelationships,makingitpossibletostudytheinteractionbetweendifferenteconomicfactors.Thepaperexaminesthetheoreticalfoundationsofmathematicalmodelinganditsmethodologicalprinciplesineconomicanalysis.Particularattentionisgiventotheuseofmathematicalmodelsforforecastingeconomictrends,optimizingdecision-makingprocesses,andimprovingtheefficiencyofdigitaleconomicsystems.Thestudyalsodiscusseshowmathematicalmethodshelpsimplifycomplexeconomicstructureswhilepreservingtheiressentialcharacteristics.Furthermore,thearticlehighlightsthepracticalapplicationsofmathematicalmodelinginvariousareasofthedigitaleconomy,includingfinancialtechnologies,dataanalysis,andalgorithm-basedeconomicmanagement.Simplemathematicalexpressionsarepresentedtoillustratehoweconomicprocessescanbedescribedquantitativelyandanalyzedusingmathematicaltools.Theresultsofthestudyshowthatmathematicalmodelingisaneffectivescientificinstrumentforanalyzingeconomicsystemsandsupportingstrategicdecision-makinginthedigitalenvironment.Theintegrationofmathematicalmethodswithmoderndigitaltechnologiescontributestotheimprovementofeconomicforecasting,optimizationofresources,andsustainabledevelopmentofeconomicsystems.
Fields of Study & Subjects
Economic and Technological Systems Analysis
Digital Economy and Transformation
Education
Technology
and Economics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 March 2026
- Language
- EN
- Document type
- Dataset