Nessrine Omrani – författare

This book provides a comprehensive review and a detailed snapshot of the newly emerging research trends and evidence about digital transformation in organizations, networks, and social groups.

This book constitutes the proceedings of the 10th International Conference on Digital Economy, ICDEc 2025, held in Tunis, Tunisia, during May 15-17, 2025.The 31 full papers presented in this volume were carefully reviewed and selected from 94 submissions. They were organized in the following topical sections as follows: Digital Governance and Public Policy; Cross-Domain AI Innovations: From Autonomous Systems to Health and Finance; Social Media, Responsibility and Digital Leadership; Informal Markets and Platform Economies; AI-Driven Insights and Next-Gen Marketing Analytics; Digital Transformation in Finance: Taxation, Payment Resilience, and E-Finance Trends; Trust, Privacy and Security in the Digital Economy; and Smart Infrastructure and AI Readiness.

This book explores the ways in which artificial intelligence and digital technologies are reshaping organizations, industries, and societies. Featuring selected papers presented at  the 3rd Edition of the Digital Transformation Society (DTS) International Conference (DTS 2025) held in Paris, France, this book brings together leading scholars and practitioners to explore the next wave of digital transformation across healthcare, smart cities, organizational collaboration, social entrepreneurship, and knowledge management. Rather than view AI only as a tool, this book explores a symbiotic partnership where human creativity and judgement combine with machine precision and scalability to achieve superior outcomes. It also recognizes the competitive dynamics between humans and machines, posing critical questions about the future of work, ethics, and trust in this developing landscape. Drawing from diverse methodologies including case studies, bibliometric analyses, and systematic reviews, this book offers research and actionable insights for scholars, researchers, students, practitioners, and policy makers interested in AI, digital transformation, innovation and machine learning.