About the Journal

The JIRBDAI is a new academic multidisciplinary journal covering a range of subjects in Information and Communications Technologies, Computing, Innovative Technologies, Management Sciences, Big Data Analytics, Enterprise and Management Innovation and eBusiness, Decision Science, and Financial Management. The main objective of JIRBDAI is to provide an intellectual platform for Baze University, regional and international scholars. JIRBDAI aims to promote interdisciplinary studies in science and technology and become one of the leading journals in the area. Because its multidisciplinary framework covers a large research community in an innovative public peer review process, thus accessing top-quality papers across disciplines. In addition, the regional coverage of the journal extends beyond one geographical region, which further enhances its reach in terms of attracting high-quality contributions. The journal will publish original research and papers discussing, analysing, or evaluating policies or disclosing relevant gaps in existing research. 

The JIRBDAI is designed as an open access, peer-reviewed, and referenced journal co-hosted by Baze University Big Data Analytics and Innovation Research Group, American University Yola, and Sule Lamido University. JIRBDAI publishes original papers, review papers, conceptual framework, case studies, empirical research, technical notes, and book reviews. Special Issues devoted to important topics in IT, Computing, Innovative technologies, Big Data Analytics, etc will occasionally be published.

The JIRBDAI is published 4 times a year; those four issues constitute a volume.

Coverage fields and subfields

  • Computing, Information and Communications Technologies, Information Systems, Software Engineering and Management
  • Artificial Intelligence, Machine and Deep Learning
  • Innovation in Education, Digital Teaching, Learning and Pedagogy
  • Students Success and Wellbeing
  • Graduate Employability and the Future of work
  • Learning Analytics and Business intelligence
  • eGovernment, eBusiness, eHealth, & other ICT sectoral applications
  • Operationalization of Triple, Quadruple and Quintuple Helix innovation model
  • Enterprise Computing
  • Innovative Technologies
  • Big Data Analytics
  • Management, Business and Entrepreneurship and Innovation