Emerging Challenges in Intelligent Management Information Systems

This book is an interdisciplinary exploration of how artificial intelligence reshapes management information systems. Discover cutting-edge strategies for applying artificial intelligence to enhance decision-making, optimize business processes, and manage knowledge effectively. What sets this book apart is its integrative approach, bridging theory, methodology, and real-world case studies to address current challenges in AI-driven decision-making, automation, and knowledge management. Covering applications from customer analytics and robotic process automation to digital transformation and misinformation detection, it provides a comprehensive view of emerging AI trends. It is designed for researchers, practitioners, students, and technology professionals, this volume serves as both a scholarly reference and a practical guide for leveraging AI to enhance efficiency, innovation, and strategic decision-making across sectors.

Presents recent research and Challenges in Intelligent Management Information Systems Contains proceedings of the ECAI 2025 Workshop on Intelligent Management Information Systems (IMIS 2025) Written by respected experts in the field

Inhalt
Improving Public Contract Management with LLMs: A Q&A System.- A Machine Learning Approach to Retail Customer Segmentation: Behaviour Analysis and Transition Probability Modelling.- Evaluating the Validity of Agent-Based Models: Challenges and Methodological Approaches.- Extracting Key Features from Data Science Related Job Offers: A Data-Driven Approach.