The primary aims of the IJMISDS are to:
- Provide a platform for researchers, practitioners, and policymakers to share their findings, insights, and experiences in the fields of management information systems and data science.
- Promote interdisciplinary research that bridges the gap between information systems, data science, and other related fields.
- Foster a global community of scholars and professionals dedicated to advancing the knowledge and practice of management information systems and data science.
- Encourage the development and dissemination of innovative methodologies, tools, and best practices that enhance the effectiveness of information systems and data science in solving real-world problems.
The IJMISDS covers a broad spectrum of topics, including but not limited to:
- Management Information Systems: Analysis, design, implementation, and management of information systems in organizations, the impact of information systems on business processes, and the strategic role of information technology in business.
- Data Science: Data analytics, machine learning, big data technologies, data mining, predictive analytics, and the application of data science in various domains such as healthcare, finance, marketing, and operations.
- Artificial Intelligence: The development and application of AI techniques to solve business problems, enhance decision-making, and improve organizational performance.
- Project Management: Integration of information systems and data science in project management, methodologies, tools, and best practices for managing technology-driven projects.
- Digital Transformation: The role of information systems and data science in driving digital transformation in organizations, including the adoption of emerging technologies, change management, and innovation strategies.
- Policy and Governance: Issues related to the governance of information systems, data privacy, security, ethical considerations, and regulatory compliance.
