Technological Innovations in Knowledge Management and Decision Support

“Technological Innovations in Knowledge Management and Decision Support” by Nilanjan Dey is a comprehensive research publication from IGI Global, released on April 18, 2018. This edition spans 322 pages and is presented in English. The book explores the growing interest organizations have in integrating knowledge management technologies and processes into their overall strategies, addressing the challenges they face in developing critical organizational knowledge for enhanced performance.
Readers will find an in-depth examination of various knowledge management areas that contribute to organizational competitiveness and effectiveness. The book delves into advanced research techniques and optimization methods, covering topics such as enterprise resource planning, neural networks, and image segmentation. It serves as a valuable resource for managers, IT specialists, and professionals in healthcare and social sciences, as well as academicians and researchers interested in effective knowledge management systems.
Official synopsis Publisher
Organizations are showing a remarkable interest in realizing knowledge management technologies and processes to adopt knowledge management as part of their overall strategy. However, even with the current advancement in technology, few organizations are entirely capable of developing critical organizational knowledge to achieve improved performance.
Technological Innovations in Knowledge Management and Decision Support is a vital research publication that examines different knowledge management areas for organizational competitiveness, survival, and effectiveness. It also provides cutting-edge research techniques in related optimization methods and other automated techniques in real-world processes. Featuring a broad range of topics such as enterprise resource planning, neural networks, and image segmentation, this book is a critical resource for managers, IT specialists, healthcare and social sciences professionals, engineers, academicians, and researchers seeking research on effective knowledge management systems.
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