Focus And Scope

Statement

International Journal for Applied Information Management is a multidisciplinary, 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:

  1. April
  2. July
  3. September
  4. December

Aim

The principal concern of the “International Journal for Applied Information Management” (IJAIM) is to review and document significant developments in the fields of science and information management that have the potential to shape future directions. IJAIM is an internationally recognized, peer-reviewed scholarly journal dedicated to promoting the advancement of knowledge across scientific, technological, legal, socio-economic, and policy dimensions of information management. IJAIM serves as a platform for the dissemination of high-quality research articles, which can be utilized for further research, educational purposes, and practical applications by students, researchers, academics, and industry professionals. The journal addresses the increasing demand for experts, engineers, technocrats, and policymakers who can effectively apply best management practices derived from various interdisciplinary fields to create a sustainable future.

Scope

The journal scopes include (but not limited to) the following topics:

1. Automated Data Governance Framework for Ethical AI Training Datasets

  • Computer Science: Artificial Intelligence, Machine Learning, Natural Language Processing, Ethical AI, Data Privacy, Bias Detection.

  • Applications: GDPR/CCPA compliance, data preparation for GenAI (ChatGPT, LLMs).

2. Real-Time Anomaly Detection in IoT-Driven Supply Chains Using Edge Analytics

  • Computer Engineering: Edge Computing, IoT, Time-Series Forecasting, Anomaly Detection, Embedded Systems, Computer Vision.

  • Applications: Prevention of loss for high-value products (vaccines, organic foods).

3. Explainable AI (XAI) for Transparent Public Policy Decision Support

  • Information Technology: Explainable AI, Public Policy Decision Support, Interactive Dashboards, Smart City Applications, Participatory Modeling.

  • Applications: Spatial planning, disaster management, subsidy programs.

4. Data Mesh Architecture for Decentralized Enterprise Analytics

  • Computer Science: Data Mesh, Data Architecture, Graph Analytics, Data Governance, Decentralized Data Management.

  • Applications: Digital transformation, post-merger data integration.