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The excellent academic resource, Journal of Business Analytics (JBA) is accessible to NMIT learners from both the Databases A-Z(external link) page and from the Library Databases and websites by programme area(external link) page.
JBA focuses on advancing business analytics research to help organisations make data-driven decisions that support innovation, growth, and survival. It combines descriptive, diagnostic, predictive, and prescriptive analytics to foster a comprehensive approach to decision-making.
The journal aims to publish articles that creatively address real-world problems using data. It encourages research that explores novel analytics methods and methodologies, offering both qualitative and quantitative insights. Contributions can include interdisciplinary or mixed-methods approaches and applications in the private, public, and third sectors.
Key topics of interest include:
AI and machine learning in business analytics
Network science and social media analytics
Statistical and econometric methods
Robotics and autonomous vehicles
Ethical considerations, including bias, explainability, and responsible use of analytics and AI
Organizational factors and development of analytics methods
JBA is a valuable resource. Contact the Library(external link) if you need any help accessing it.