About the Journal

 

The Journal of Institutional Research, Big Data Analytics and Innovation (JIRBDAI) is an international, peer-reviewed, open-access multidisciplinary journal dedicated to advancing high-quality research, innovation, and evidence-based practice across computing, data analytics, information systems, management, education, and emerging technologies. The journal serves as a platform for the dissemination of original research, innovative ideas, and interdisciplinary scholarship that address contemporary challenges and promote sustainable development.

JIRBDAI is owned and published by the Nigerian Society of Data Analysts and Business Intelligence Experts (NSDABIE), a professional body committed to advancing excellence in data analytics, artificial intelligence, business intelligence, digital innovation, and evidence-driven decision-making. Through the journal, NSDABIE seeks to foster collaboration among researchers, academics, industry professionals, policymakers, and practitioners from Nigeria and across the globe.

The primary objective of JIRBDAI is to provide a credible scholarly platform for publishing high-quality, original research that contributes to the advancement of knowledge and practice in data-driven technologies, computing, information systems, innovation, management, and related disciplines. The journal encourages interdisciplinary research, promotes innovative methodologies, and supports the translation of research findings into practical solutions for academia, industry, government, and society.

JIRBDAI welcomes original research articles, review papers, conceptual papers, case studies, empirical investigations, technical notes, policy analyses, and book reviews. The journal also publishes special issues on emerging topics of strategic importance in data science, artificial intelligence, digital transformation, and innovation.

As an open-access journal, JIRBDAI ensures that all published articles are freely available to researchers, practitioners, policymakers, educators, and the general public, thereby increasing the visibility, accessibility, and impact of scholarly research worldwide.

The journal is published quarterly, with four issues constituting one volume each year.

Scope of the Journal

JIRBDAI welcomes submissions in, but not limited to, the following areas:

  • Computing and Computer Science

  • Information and Communications Technologies (ICT)

  • Information Systems and Digital Transformation

  • Software Engineering and Software Project Management

  • Artificial Intelligence, Machine Learning, and Deep Learning

  • Data Science, Big Data Analytics, and Business Intelligence

  • Data Governance, Data Engineering, and Data Management

  • Cybersecurity and Information Assurance

  • Enterprise Computing and Digital Innovation

  • Cloud Computing, Internet of Things (IoT), and Emerging Technologies

  • Innovation in Digital Teaching, Learning, and Pedagogy

  • Learning Analytics and Educational Technologies

  • Student Success, Well-being, and Educational Innovation

  • Graduate Employability and the Future of Work

  • eGovernment, eBusiness, eHealth, FinTech, GovTech, and Smart Systems

  • Entrepreneurship, Innovation, and Technology Commercialisation

  • Management Sciences and Business Innovation

  • Decision Science and Operations Research

  • Triple, Quadruple, and Quintuple Helix Innovation Models

  • Digital Economy, Smart Cities, and Sustainable Development

  • Interdisciplinary Applications of Data Analytics and Artificial Intelligence

Publication Frequency

JIRBDAI is published four times annually (Quarterly). The four issues published within a calendar year constitute one volume.

Indexing and Abstracting

JIRBDAI is committed to ensuring the visibility and global accessibility of published research. The journal is currently:

  • Indexed in Google Scholar

  • Indexed in ResearchGate

  • Indexed in AIRE

  • Assigns Digital Object Identifiers (DOIs) to all published articles

The Editorial Board is actively pursuing inclusion in additional reputable international indexing and abstracting databases to further enhance the visibility and impact of the journal.