Aims

Journal of Intelligent Management Decision (JIMD) is an international open-access journal that publishes research on intelligent decision-making in management and organisational contexts. The journal covers studies that examine how computational methods, information systems, and analytical models are used to support and analyse managerial and organisational decision processes. JIMD welcomes conceptual, theoretical, empirical, and applied contributions that address the design, evaluation, and use of intelligent systems in management, governance, and organisational practice. Interdisciplinary work drawing on artificial intelligence, information systems, management science, operations research, and behavioural studies is encouraged, provided that the analytical or technical contribution is clearly articulated.

Key features of JIMD include:

• An explicit focus on decision-making as the primary object of study, rather than on artificial intelligence or analytics as ends in themselves;

• Emphasis on the modelling, evaluation, and use of decision-support systems in real organisational and managerial contexts;

• Integration of computational approaches with organisational, operational, and behavioural perspectives on decision processes;

• Interest in research that examines how intelligent systems are embedded in governance structures, workflows, and managerial practice;

• Consideration of normative, ethical, and accountability aspects of intelligent decision systems where these are addressed analytically or empirically.

Scope

JIMD’s scope is comprehensive, covering a diverse range of topics:

• Decision-support systems and managerial analytics;

• Artificial intelligence and machine learning for organisational and managerial decision-making;

• Enterprise information systems and digital infrastructures supporting management processes;

• Strategic planning, policy analysis, and governance supported by intelligent systems;

• Data mining, predictive analytics, and prescriptive analytics in business and management;

• Knowledge management systems and organisational learning supported by digital technologies;

• Digital transformation of organisational processes and management structures;

• Intelligent systems in operations, logistics, and supply chain decision-making;

• Algorithmic and data-driven approaches to marketing, customer management, and service systems;

• Human resource analytics and the use of intelligent systems in personnel management;

• Decision models for entrepreneurship, innovation management, and new venture development;

• Information systems for sustainability management and responsible business practices;

• Organisational, behavioural, and institutional impacts of intelligent decision technologies;

• Uncertainty modelling, fuzzy systems, and multi-criteria decision analysis in management;

• Governance, accountability, ethical, and regulatory aspects of algorithmic decision-making in organisations;

• Evaluation, validation, and impact assessment of intelligent decision technologies in real organisational settings;

• Decision processes in public administration and policy-making are supported by analytical and digital tools;

• Intelligent systems for financial decision-making, risk analysis, and investment management;

• Healthcare and education management supported by decision-support and information systems;

• Smart city governance and urban management supported by intelligent decision technologies;

• Collaborative and group decision-making supported by digital and analytical platforms;

• Simulation, scenario analysis, and system dynamics for managerial decision support;

• Behavioural decision modelling and human–system interaction in management contexts;

• Platform-based business models and ecosystem management supported by intelligent systems.