Focus And Scope
Statement
International Journal for Applied Information Management is an open-access, internationally single-blind peer-reviewed journal which is not limited to a specific aspect of science and information but is instead devoted to a wide range of subfields in information management topics. While it encourages a broad spectrum of contribution in information management. Articles of interdisciplinary nature are particularly welcome..
Publishing Schedule
IJAIM has been publishing four issues per year (quarterly) since 2021. The exact schedule of publication for each issue is as the following:
- April
- July
- September
- December
Aim
The principal aim of the International Journal for Applied Information Management (IJAIM) is to advance scholarly and practical knowledge in the field of AI for Knowledge Management and Decision Intelligence. The journal focuses on the development, application, evaluation, and governance of intelligent systems that support knowledge discovery, information management, data-driven analysis, decision support, and organizational problem-solving across various institutional and professional contexts.
IJAIM serves as an international, peer-reviewed scholarly platform for researchers, academics, practitioners, technologists, policymakers, and industry professionals who investigate how artificial intelligence, machine learning, data analytics, knowledge management, and decision intelligence can be integrated to address complex real-world challenges. The journal welcomes high-quality original research, case studies, conceptual frameworks, applied models, and empirical studies that promote responsible, explainable, scalable, and value-oriented AI applications for improving information practices, institutional performance, and evidence-based decision-making across sectors.
Scope
International Journal for Applied Information Management (IJAIM) is a forum for the exchange of research findings, analysis, information, and knowledge in AI for Knowledge Management and Decision Intelligence, including but not limited to:
AI-Based Knowledge Management - IJAIM encourages research that explores the use of artificial intelligence to collect, organize, retrieve, analyze, and synthesize knowledge from documents, databases, digital records, institutional data, and information systems.
Decision Intelligence and Decision Support - IJAIM promotes research on intelligent models, analytical frameworks, and decision support systems that assist individuals, organizations, institutions, and policymakers in making data-informed and knowledge-driven decisions.
Applied AI and Information Systems - IJAIM invites research that applies machine learning, deep learning, natural language processing, generative AI, data analytics, and intelligent automation to improve information management practices across business, education, healthcare, government, finance, industry, and public services.
Responsible, Explainable, and Trustworthy AI - IJAIM encourages studies on ethical, explainable, secure, transparent, and accountable AI systems that support reliable knowledge processing, information governance, and decision-making in real-world environments.