Data-Centric Business and Applications
Advancing Success Through Operational Excellence, Financial Innovation, Digital Transformation, and Data-Driven Human Resource Management
Buch in deiner Nähe kaufen
Beschreibung
This book provides a comprehensive insight into contemporary management challenges shaped by digital transformation, operational excellence, and data-driven human resource strategies. It presents innovative frameworks for decision-making, workforce optimization, and financial innovation by integrating theoretical perspectives with real-world applications. With contributions from international scholars, it offers fresh perspectives on emerging technologies, sustainability, and business intelligence. Designed for academics, professionals, and policymakers, the book serves as a valuable resource for understanding and implementing effective management strategies in the digital era.
This book provides a comprehensive insight into contemporary management challenges shaped by digital transformation, operational excellence, and data-driven human resource strategies. It presents innovative frameworks for decision-making, workforce optimization, and financial innovation by integrating theoretical perspectives with real-world applications. With contributions from international scholars, it offers fresh perspectives on emerging technologies, sustainability, and business intelligence. Designed for academics, professionals, and policymakers, the book serves as a valuable resource for understanding and implementing effective management strategies in the digital era.
Explores challenges and opportunities from the intersection of financial innovation and digital technologies Presents both theoretical insights and practical applications Shows how businesses can use financial data and cutting-edge technology to overcome challenges
Autor*in
Peter Madzík
Themen in »Data-Centric Business and Applications«
Financial innovation Digital technologies Business intelligence Operational Excellence Human Resource Management Supply Chain Management Data processes