
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:
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AI and machine learning in business analytics
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Network science and social media analytics
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Statistical and econometric methods
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Robotics and autonomous vehicles
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Ethical considerations, including bias, explainability, and responsible use of analytics and AI
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Organizational factors and development of analytics methods
JBA is a valuable resource. Contact the Library(external link) if you need any help accessing it.