Academic Journal of Management Science and Engineering (AJMSE)
Academic Journal of Management Science and Engineering (AJMSE), a peer-reviewed open access journal published in English-language, provides an international platform for the publication and dissemination of original work that contributes to the understanding of the main and related disciplines of management science and engineering either empirical or theoretical. The journal covers the whole spectrum of Business and management analytics, Complex management and economic systems, Data mining, Decision analysis, Decision support system, Financial engineering and risk management, Forecasting and analysis, Game theory, Industrial management, Information management, Information systems and e-Business, Logistics system management, Management engineering, Management information system, Mathematical modeling, Operations management, Optimization, Probability and statistics, Production system management, Project and program management, Quality control and reliability management, Research and Development Management, Risk Management, Scheduling and control, Simulation of management system, Social and economic modeling, Strategic management, Supply chain and logistics management, Transportation systems and management, Uncertain Decision Theory, and more.
Aims & Scope
Academic Journal of Management Science and Engineering (AJMSE), a peer-reviewed open access journal published in English-language, provides an international platform for the publication and dissemination of original work that contributes to the understanding of the main and related disciplines of management science and engineering either empirical or theoretical. The journal covers the whole spectrum of Business and management analytics, Complex management and economic systems, Data mining, Decision analysis, Decision support system, Financial engineering and risk management, Forecasting and analysis, Game theory, Industrial management, Information management, Information systems and e-Business, Logistics system management, Management engineering, Management information system, Mathematical modeling, Operations management, Optimization, Probability and statistics, Production system management, Project and program management, Quality control and reliability management, Research and Development Management, Risk Management, Scheduling and control, Simulation of management system, Social and economic modeling, Strategic management, Supply chain and logistics management, Transportation systems and management, Uncertain Decision Theory, and more.
Aims
- To provide an international peer-reviewed open-access platform for publishing and disseminating original theoretical and empirical research advancing knowledge across management science and engineering disciplines.
- To facilitate global academic exchange among scholars, industry managers and research practitioners focusing on core and emerging branches of management science and engineering.
- To bridge theoretical management research and real-world industrial & business practice, boosting the practical application of modeling, optimization and decision-making research outcomes.
- To encourage innovative exploration of frontier theories, practical challenges and emerging research trends within management science and related interdisciplinary engineering fields.
Scope
The journal covers a wide range of topics related to management science and engineering, including but not limited to:
Core Management Science Research
- Decision science and optimization, including decision analysis, uncertain decision theory, mathematical optimization, game theory and probability statistics applications
- Operations and production management, including operations management, production system management, scheduling control, quality control and reliability management
- Strategic and industrial management, including industrial management, strategic management, project & program management, R&D management and corporate management analytics
- Financial and risk management, including financial engineering, comprehensive risk management, economic forecasting analysis and social-economic system modeling
Interdisciplinary Engineering & Applied Management
- Data-driven management engineering, including data mining, business analytics, management information systems and digital information management
- Supply chain and logistics engineering, including logistics system management, supply chain management and transportation systems management
- Intelligent system engineering, including decision support systems, management system simulation, e-business and information system engineering
- Complex economic system research, including complex management & economic systems modeling, industrial system optimization and cross-domain system engineering