About the Journal

ABOUT THE JOURNAL

Journal of Forecasting & Economic Management (JFEM) is a peer-reviewed journal that connects forecasting science, economic analysis, and management practice. We publish quantitative research that helps leaders anticipate trends, understand markets, and make evidence-based decisions.

Modern management needs computational sophistication and economic wisdom. JFEM publishes research that predicts rather than describes, explains rather than correlates, and applies rather than only theorizes.

SCOPE

Management Sciences
We welcome research in strategic management, marketing analytics, operations management, and human resource planning. Topics include consumer behavior, demand prediction, supply chain optimization, digital transformation, and organizational performance using predictive models.

Economics
We publish applied economics, macroeconomic forecasting, financial economics, and behavioral economics. Research areas include GDP projections, inflation forecasting, market prediction, risk management, development economics, and SME dynamics.

Public Administration and Policy
We focus on public sector performance, e-government, policy impact assessment, budget forecasting, urban planning, and smart city initiatives. We value research on administrative reform and public service optimization using quantitative methods.

Accounting and Corporate Finance
Our scope includes management accounting, cost forecasting, financial planning, investment decisions, and accounting information systems. We welcome research on budgeting, financial analysis, working capital, and corporate finance with predictive elements.

METHODOLOGY

We encourage time series methods (ARIMA, VAR, VECM), machine learning (random forests, XGBoost, neural networks), deep learning (LSTM, GRU), econometrics (regression, panel data, causal inference), and optimization techniques. We value research using Python, R, MATLAB, and other computational tools.

We accept survey research, experimental designs, and archival data analysis. We particularly value hybrid methodologies that combine traditional econometrics with machine learning. Reproducibility matters. Authors should share code and data when possible.

AUDIENCE

JFEM serves academic researchers, graduate students, policy analysts, government officials, corporate strategists, business consultants, and data scientists. While based in Indonesia, we welcome research from Asia and beyond, especially studies on emerging markets and comparative analyses.

EDITORIAL PHILOSOPHY

We evaluate submissions on five principles:

1. Rigorous methodology: Sound research design, appropriate methods, statistical validity
2. Predictive power: Research that forecasts important developments
3. Economic and managerial insight: Theoretical contributions and domain knowledge advancement
4. Practical relevance: Real-world applicability and actionable recommendations
5. Reproducibility: Transparent methods with available data and code

OUR CONTRIBUTION

JFEM bridges gaps that other journals leave. Traditional management journals reject forecasting papers as too technical. Economics journals dismiss management applications as insufficiently theoretical. Methods journals lack business context. Public administration journals rarely use quantitative rigor.

We create space where forecasting informs management, economic analysis illuminates decisions, computational methods enable insights, and academic rigor meets practical relevance. We advance management science through predictive analytics and economic insight, enabling better decisions for organizations, markets, and societies.