Business Analytics and Decision-making

A significant difficulty for businesses in the 21st century is the escalating volume and complexity of data. In response to this difficulty, firms have increasingly adopted business analytics for efficient decision-making. Businesses are struggling to achieve a competitive advantage due to a limited awareness of descriptive, predictive, and prescriptive analysis, as well as evidence-based tactics. International Journal of Business Analytics and Decision-making (IJBADM) serves as a distinctive platform for researchers, academics, industry professionals, and policymakers to exchange innovative ideas, research findings, practical insights, and new theories related to business analytics and decision-making.

The interdisciplinary nature of IJBADM concentrates on a specialised domain where businesses address increasing data volumes and complexities to facilitate better decision-making through technology adoption. Current journals address decision-making across many business and operational domains; however, IJBADM specifically emphasises decision-making informed by extensive and intricate data analysis utilising developing technology. IJBADM promotes research and practices in effective decision-making by analysing vast volumes of complex data through developing technologies to achieve a competitive advantage in the business landscape. International Journal of Business Analytics and Decision-making (IJBADM) solicits contributions from researchers, academics, industry experts, and policymakers to present their original concepts, research outcomes, practical insights, and novel theories pertaining to business analytics and decision-making. IJBADM favours manuscripts within the specified domain, while not exclusively limited to it.