Applied Quantitative Analysis (AQA)

Focus and Scope
Applied Quantitative Analysis (AQA) serves as a leading platform for the exploration and application of quantitative methodologies within a diverse array of multidisciplinary domains, encompassing business, management, social science, education, and maritime-related fields. Our journal provides a robust framework for researchers to investigate and employ quantitative tools in addressing complex challenges and advancing knowledge across various disciplines.

Quantitative Methodologies

AQA welcomes contributions utilizing a wide range of quantitative methodologies, including but not limited to:

Linear optimization
Stochastic processes
Dynamic programming
Econometrics
Time series analysis
Multivariate/frequentist statistics
Bayesian statistics
Machine learning algorithms
Game theory
Data science
Multidisciplinary Contexts

Within the realm of business, management, social science, and education, AQA facilitates research endeavours spanning diverse thematic areas such as:

Accounting
Business and International Management
Industrial Relations
Management Information Systems
Management of Technology and Innovation
Marketing
Organizational Behavior and Human Resource Management
Strategy and Management
Tourism, Leisure, and Hospitality Management
Maritime Emphasis

In collaboration with Politeknik Ilmu Pelayaran Semarang, AQA extends its focus to encompass Navigation, Marine Engineering, Port and Sea studies, Transportation Management, Maritime Education, Marine Environment, Freight and Logistics, and Marine Transportation Management. This expansion reflects our commitment to addressing critical challenges and opportunities within the maritime industry through the application of quantitative analysis.

Interdisciplinary Integration

AQA encourages interdisciplinary research that bridges traditional boundaries and draws upon insights from various fields, including:

Industrial and Manufacturing Engineering
Control and Systems Engineering
Applied Mathematics
Computational Mathematics
Control and Optimization
Modeling and Simulation
Numerical Analysis
Decision Sciences
Management Science and Operations Research
Operations Management
Statistics
Probability and Uncertainty
Information Systems and Management
Economics
Econometrics
Finance