Vol. 7 No. 1 (2026): Decision Support and Data Analytics

The increasing availability of data and digital technologies has encouraged the development of intelligent solutions to support decision-making processes across various domains. Organizations and individuals increasingly rely on data-driven approaches, predictive analytics, and decision support systems to improve efficiency, accuracy, and service quality in addressing real-world challenges.

This issue presents a collection of studies that explore the application of intelligent systems, data analytics, forecasting methods, and decision support technologies in diverse contexts. The published works cover topics ranging from business process analysis and supply chain management to educational computing, predictive modeling, and expert-based decision support systems. Collectively, these contributions demonstrate how information systems and analytical methods can be utilized to generate actionable insights and support informed decision-making. Through these studies, this issue aims to enrich the growing body of knowledge in Informatics and Information Systems while providing practical value for researchers, educators, and practitioners.