Contemporary Knowledge and Systems Science provides emerging research on the methods and applications of knowledge systems in social science, economics, and technological developments. While highlighting topics such as knowledge retention, organizational information, and evolutionary algorithms, this publication explores the different types of new knowledge from a systems perspective. This book is an important resource for researchers, academics, practitioners, and graduate-level students seeking current research on the connections between technology and information in order to manage new data.
Farzad Sabetzadeh has his PhD in Knowledge Management from the Hong Kong Polytechnic University. Prior to his research focus on knowledge management, he had a multidisciplinary research and work track, both in IT management and Industrial Engineering. He has also spent more than 7 years of continuous research work at the Knowledge Management Research and Innovation Center (KMIRC) at the Hong Kong Polytechnic University and engaged in various projects of knowledge management in areas like e-learning, personalized learning environment, intellectual capital reporting, big data and Massive Open Online Courses (MOOC). Currently he is working as the knowledge management specialist and research scientist in education industry. His current research is on design and deployment of the state-of-the-art web technologies for knowledge visualization and learning analytics. [Editor]