Aim and Scope
The Journal of Economic Intelligence and Mathematics publishes original research articles, review articles, methodological studies, case analyses, technical reports, scholarly perspectives, and other contributions addressing economic intelligence, mathematical sciences, quantitative analysis, and computational approaches to economic and decision sciences.
The journal welcomes theoretical, methodological, empirical, computational, and interdisciplinary research that applies mathematical, statistical, economic, and data-driven approaches to the analysis of economic and socioeconomic systems.
Economic Intelligence
This area focuses on the collection, interpretation, analysis, and use of economic information in areas such as strategic planning, policy development, market assessment, risk evaluation, forecasting, and decision-making.
Mathematical Economics
The journal encourages research involving mathematical models of economic behavior, market structures, consumer and producer theory, resource allocation, economic equilibrium, welfare analysis, growth models, and economic dynamics.
Applied Mathematics and Quantitative Methods
This section covers mathematical techniques applied to economic and managerial problems, including optimization, differential equations, stochastic processes, numerical analysis, dynamical systems, and computational mathematics.
Econometrics and Statistical Analysis
The journal welcomes research involving econometric modeling, statistical inference, predictive analytics, forecasting, panel data analysis, causal modeling, time-series analysis, and quantitative evaluation of economic phenomena.
Artificial Intelligence in Economics
Research involving artificial intelligence, machine learning, deep learning, intelligent systems, neural networks, and automated analytical methods applied to economic research and decision-making is within the journal's scope.
Data Science and Economic Analytics
This area includes data mining, predictive modeling, business intelligence, big data analytics, data visualization, and intelligent decision-support methods applied to economic analysis.
Economic Forecasting and Predictive Intelligence
The journal supports research on forecasting methodologies, predictive algorithms, scenario analysis, economic indicators, trend analysis, and quantitative forecasting systems.
Financial Mathematics and Quantitative Finance
This section covers quantitative approaches to finance, including asset pricing, portfolio optimization, financial risk management, derivative valuation, financial engineering, stochastic finance, investment analysis, and computational finance.
Computational Economics
The journal welcomes computational models, economic simulations, agent-based modeling, algorithmic economics, digital economic systems, and computational approaches to policy and market analysis.
Operations Research and Decision Sciences
Research involving optimization, logistics, scheduling, supply chain management, strategic planning, resource allocation, game theory, decision analysis, and management science is encouraged.
Business Intelligence and Quantitative Management
This area includes business analytics, organizational intelligence, performance measurement, management science, operational analytics, strategic management, and quantitative decision-support systems.
Public Policy Analytics
The journal encourages research examining public policy formulation, policy evaluation, governance analytics, regulatory assessment, public expenditure analysis, taxation, social welfare programs, and evidence-informed policymaking using quantitative methodologies.
Sustainable Development and Economic Resilience
Research addressing sustainable economic growth, environmental economics, resource management, resilience analysis, development policy, socioeconomic sustainability, and long-term economic planning is within the journal's scope.
Mathematical Modeling of Socio-Economic Systems
This section focuses on mathematical frameworks for studying social and economic interactions, demographic behavior, innovation systems, institutional dynamics, environmental-economic relationships, and complex adaptive systems.
Interdisciplinary Research
The journal welcomes interdisciplinary research integrating economics, mathematics, statistics, computer science, artificial intelligence, management science, finance, engineering, and related disciplines.
The journal particularly welcomes studies that combine quantitative methods, computational techniques, empirical evidence, and theoretical analysis where such integration is relevant to the research question.