Topical Area 4: Information Technology for Business and Society

(ITBS)

This Topical Area emphasizes Intelligence Systems as a central theme while embracing a comprehensive perspective on the role of various technologies, Management Information Systems (MIS), and Decision Support Systems (DSS) in addressing contemporary challenges faced by businesses, organizations, and society. It seeks to provide a platform for exploring how advanced technologies—such as big data, data mining, machine learning, IoT, blockchain, cloud computing, and social networks—interact with and contribute to the continuous improvement of processes, decision-making, and innovation in diverse domains, including business, government, and social sectors.

The aim is to comprehensively understand how Intelligence Systems and related technologies can be effectively leveraged within MIS and DSS to drive innovation, support strategic goals, and create value across various sectors and domains. This focus goes beyond the technical dimensions, integrating socio-technical and management perspectives to explore how these systems can be designed, implemented, and managed to meet real-world needs. This includes addressing challenges in organizational processes, decision-making frameworks, and strategies for achieving sustainable and continuous improvement.

This Topical Area encourages interdisciplinary collaboration and invites research and professional contributions on a wide range of topics, including the design, implementation, adoption, stabilization, and transformation of information systems and technologies. It also fosters discussions on areas such as business intelligence, sustainable technologies, mobile applications, and smart systems. Furthermore, it delves into the ethical, social, and political implications of deploying such systems, emphasizing the importance of aligning technological advancements with societal values, ethical considerations, and practical necessities.