Aims and scope

Management Science Advances (MSA) is an international peer-reviewed journal dedicated to publishing high-quality original research that advances knowledge in management science and contemporary management. The journal provides an interdisciplinary platform for studies addressing managerial, organizational, business, and decision-making problems through rigorous analytical, quantitative, computational, and empirical approaches.

The central objective of MSA is to contribute to a better understanding of complex management problems and to support the transformation of data and analysis into knowledge, informed decisions, and measurable managerial impact. The journal welcomes both methodological developments and applied research, provided that the contribution demonstrates clear relevance to management science, managerial decision-making, organizational performance, or management practice.

The scope of MSA includes, but is not limited to:

  • management science and quantitative management;
  • decision-making, decision analysis, and decision-support systems;
  • business analytics and data-driven management;
  • quantitative, computational, and analytical methods in management;
  • multi-criteria and multi-attribute decision-making;
  • operations research and mathematical modelling in management;
  • performance measurement, efficiency analysis, and benchmarking;
  • strategic management and business development;
  • organizational performance and organizational decision-making;
  • human capital, organizational behaviour, leadership, and workplace management;
  • financial management, banking, investment decision-making, financial literacy, and risk analysis;
  • operations, supply chain, logistics, inventory, and transportation management;
  • sustainability management, ESG, circular economy, and sustainable development;
  • marketing management, consumer behaviour, brand management, and market analysis;
  • digital transformation, information systems, and technology management;
  • innovation and knowledge management;
  • engineering management, production systems, and smart manufacturing;
  • project management and resource allocation;
  • uncertainty modelling, soft computing, and advanced computational methods for management problems;
  • emerging technologies and their implications for organizations, business processes, and managerial decision-making;
  • sector-specific management applications in areas such as healthcare, tourism, agriculture, aquaculture, transportation, energy, public services, and other complex organizational environments.

MSA encourages interdisciplinary research connecting management science with economics, finance, engineering, information systems, computer science, behavioural sciences, and other relevant disciplines. Interdisciplinary contributions should maintain a clear management perspective and demonstrate how their findings contribute to managerial knowledge, decision-making, organizational effectiveness, or management practice.

The journal welcomes methodological contributions that introduce, develop, extend, compare, or validate analytical, mathematical, computational, or decision-support methods. Such studies should clearly establish the relevance of the proposed methodology to a management or decision-making problem. Applications of established methods are also welcome when they provide substantive new managerial insights, address important real-world problems, or demonstrate significant practical implications.

Empirical studies should be based on clearly formulated research questions, appropriate research designs, and transparent analytical procedures. Computational and model-based studies should provide sufficient methodological detail to support validation, transparency, and reproducibility. Particular consideration is given to research that establishes a meaningful connection between methodological rigor and practical managerial relevance.

MSA also welcomes systematic literature reviews, bibliometric studies, conceptual studies, and state-of-the-art reviews when they provide a rigorous synthesis of an established or emerging area of management science, identify significant research patterns or knowledge gaps, and develop meaningful directions for future research.

The journal's broad interdisciplinary orientation is unified by a common objective: advancing management knowledge through the progression from Data → Analysis → Knowledge → Decisions → Impact.