Aims

The Journal of Intelligent Management Decision (JIMD) is an international open-access journal devoted to advancing the theory and practice of intelligent decision-making in management. It serves as a platform for high-quality research that integrates artificial intelligence, information systems, and management science to enhance decision accuracy, organizational agility, and strategic competitiveness in the digital era.

JIMD aims to foster interdisciplinary scholarship connecting data analytics, behavioral intelligence, and technology innovation to address complex managerial challenges. The journal welcomes conceptual, empirical, and applied studies that explore how intelligent systems transform organizational processes, governance structures, and business ecosystems.

Through its commitment to bridging academic insight with managerial relevance, JIMD promotes rigorous research that informs corporate strategy, policy formulation, and sustainable development. The journal particularly values contributions that offer practical frameworks, decision-support models, and technology-driven solutions for improving management performance and social responsibility.

Key features of JIMD include:

• A strong emphasis on intelligent management and data-driven decision-making across organizational and industrial contexts;

• A focus on integrating artificial intelligence, information systems, and managerial science to enhance business performance;

• Encouragement of interdisciplinary studies bridging technology innovation, strategic management, and behavioral analytics;

• Promotion of practical insights that transform digital transformation theories into measurable organizational value;

• A commitment to fostering ethical, sustainable, and human-centered approaches in intelligent decision-making.

Scope

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

• Innovative Technology in Management: Explores cutting-edge technologies like AI, machine learning, and blockchain in managerial decision-making.

• Strategic Enterprise Architecture: Examines the role of enterprise architecture in aligning IT infrastructure with business goals.

• Business Policy and Strategic Management: Investigates the development of business policies and strategies in the era of digital transformation.

• Data Mining and Analytics: Focuses on leveraging data mining and analytics for marketing insights and value creation.

• E-Business Models and Strategies: Analyses emerging e-business models and digital strategies for competitive advantage.

• Digital Learning and Training: Explores the impact of digital technologies on training and e-learning in corporate settings.

• Digital Marketing: Investigates new trends and strategies in e-marketing.

• Entrepreneurship and Social Enterprise: Studies the role of technology in driving entrepreneurship and social enterprise.

• Information Systems Strategy: Focuses on strategic planning and analysis of information systems.

• Competitive Advantage through IT: Examines how information technology can be leveraged for competitive advantage.

• Industry-specific Information Systems: Looks at the application of information systems in different industries.

• Intelligent Decision-making Theories and Applications: Explores new theories and practical applications in intelligent decision-making.

• Alignment of IT and Organizational Strategy: Studies the alignment between IT systems and organizational strategies.

• Organizational Behavior and HRM: Investigates how intelligent systems affect organizational behavior and human resource management.

• Knowledge Management Systems: Focuses on the development and implementation of knowledge management systems.

• Logistics and Operations Management: Examines the role of intelligent systems in logistics and operations.

• Fuzzy Systems in Decision-making: Studies the application of fuzzy logic in organizational decision-making.

• Cybersecurity and Information Security Strategies: Addresses strategies for managing cybersecurity risks in organizations.

• Supply Chain Management: Explores the role of intelligence in optimizing supply chain management.

• Customer Relationship Management (CRM) Systems: Looks at the development and use of CRM systems in managing customer relations.

• Ethical Implications and Social Responsibility: Examines the ethical considerations and social responsibilities in the use of intelligent systems in management.

• Sustainable Business Practices: Investigates how intelligent management contributes to sustainable business practices.