Susan – författare

"e;Lessons Learned"e; is a knowledge management approach for organizational learning and improved performance and productivity. However beneficial this approach is, few organizations have been able to implement the processes necessary for organizational success. Utilizing Evidence-Based Lessons Learned for Enhanced Organizational Innovation and Change links the theoretical foundation of the "e;lessons learned"e; approach with current tools and evidence-based research in support of organizational development. Outlining best practices and emerging research in organizational learning, this publication is ideal for project managers, academicians, researchers, and upper-level students looking to implement these processes into their project management cycle, particularly in the risk management and quality control processes.

Technological advancements have become an integral part of life, impacting the way we work, communicate, make decisions, learn, and play. As technology continually progresses, humans are being outpaced by its capabilities, and it is important for businesses, organizations, and individuals to understand how to optimize data and to implement new methods for more efficient knowledge discovery and information management and retrieval. Innovative Applications of Knowledge Discovery and Information Resources Management offers in-depth coverage on the pervasiveness of technological change with a collection of material on topics such as the impact of permeable work-life boundaries, burnout and turnover, big data usage, and computer-based learning. It proves a worthy source for academicians, practitioners, IT leaders, IT professionals, and advanced-level students interested in examining the ways in which technology is changing the world.

The fast-paced world created by the accessibility of consumer information through internet-generated data requires improved information-management platforms. The continuous evaluation and evolution of these systems facilitate enhanced data reference and output. Optimizing Data and New Methods for Efficient Knowledge Discovery and Information Resources Management is a critical research publication that provides insight into the varied and rapidly changing fields of knowledge discovery and information resource management. Highlighting a range of topics such as datamining, artificial intelligence, and risk assessment, this book is essential for librarians, academicians, policymakers, information managers, professionals, and researchers in fields that include artificial intelligence, knowledge discovery, data visualization, big data, and information resources management.