Dynamic Models For Knowledge Driven Organizations
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Dynamic Models for Knowledge-Driven Organizations
Since knowledge systems and knowledge management programs are put in place to monitor workers in the performance of their jobs; knowledge is, therefore, an essential component in the achievement of goals and production of economic benefit of an organization. Dynamic Models for Knowledge-Driven Organizations presents a widespread collection of research on the understanding of the managerial, technical and human issues associated with the use of knowledge in organizations while bearing in mind the design, development, and maintenance of useful knowledge management systems. This reference is essential for the tools and information needed to effectively implement knowledge management systems and would benefit researchers and practitioners alike.
Creating Knowledge Based Organizations
Creating Knowledge Based Organizations brings together high quality concepts and techniques closely related to organizational learning, knowledge workers, intellectual capital, and knowledge management. It includes the methodologies, systems and approaches that are needed to create and manage knowledge based organizations.
Big Data Analytics for Satellite Image Processing and Remote Sensing
The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines the challenges and difficulties of implementing big data in image processing for remote sensing and related areas. Featuring coverage on a broad range of topics, such as distributed computing, parallel processing, and spatial data, this book is geared towards scientists, professionals, researchers, and academicians seeking current research on the use of big data analytics in satellite image processing and remote sensing.