This book is intended to help students understand the records management principles applicable to the information. Besides, it is published to introduce basic knowledge on records management as reference to manage records effectively and efficiently. This book consists of an overview of terms and basic concepts of records management, principles of records management, records management legislation, registry as a place to manage your records, file management and appraisal and dispotion of records management program in your organisation.

Records Classification: Concepts, Principles and Methods: Information, Systems, Context introduces classification, an early part of the research lifecycle. Classification ensures systematic organization of documents and facilitates information retrieval. However, classification systems are not prevalent in records management when compared to their use in other information fields. This book views classification from the records management (RM) perspective by adopting a qualitative approach, with case studies, to gather data by means of interview and document content analysis. Current development of information systems do not take into account the concept of classification from a RM perspective. Such a model is required because the incorporation of information and communication technology (ICT) in managing records is inevitable. The concept of classification from an RM perspective ought to be extended to the ICT team to enable the development of a RM system not limited to storage and retrieval functions, but also with relation to disposal and preservation processes. This proposed model introduces function-based classification to ensure records are classified in context. - Gives a step-by-step functional model for constructing a classification system within an organization - Advocates for the importance of practicing classification for records, towards competent, transparent, and democratic organizations - Helps organizations build their own classification system, thus safeguarding information in a secure and systematic fashion - Provides local case studies from Malaysia and puts together a generic, globally applicable model

This seminal study and critique of propaganda from one of the greatest French philosophers of the 20th century is as relevant today as when it was first published in 1962. Taking not only a psychological approach, but a sociological approach as well, Ellul’s book outlines the taxonomy for propaganda, and ultimately, it’s destructive nature towards democracy. Drawing from his own experiences fighting for the French resistance against the Vichy regime, Ellul offers a unique insight into the propaganda machine.

The recent passage of the Every Student Succeeds Act (ESSA) presents new opportunities and greater flexibility in efforts to personalize learning for all children. The Handbook on Personalized Learning for States, Districts, and Schools provides insight and guidance on maximizing that new flexibility. Produced by the Center on Innovations in Learning (CIL), one of seven national content centers funded by the U.S. Department of Education, this volume suggests how teachers can enhance personalized learning by cultivating relationships with students and their families to better understand a child’s learning and motivation. Personalized learning also encourages the development of students’ metacognitive, social, and emotional competencies, thereby fostering students’ self?direction in their own education, one aimed at mastery of knowledge and skills and readiness for career and college. Chapters address topics across the landscape of personalized learning, including co?designing instruction and learning pathways with students; variation in the time, place, and pace of learning, including flipped and blended classrooms; and using technology to manage and analyze the learning process. The Handbook’s chapters include Action Principles to guide states, districts, and schools in personalizing learning.

Mathematical programming: an overview; solving linear programs; sensitivity analysis; duality in linear programming; mathematical programming in practice; integration of strategic and tactical planning in the aluminum industry; planning the mission and composition of the U.S. merchant Marine fleet; network models; integer programming; design of a naval tender job shop; dynamic programming; large-scale systems; nonlinear programming; a system for bank portfolio planning; vectors and matrices; linear programming in matrix form; a labeling algorithm for the maximun-flow network problem.

This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad interdisciplinary range of scientific methods and processes. The book provides readers with sufficient knowledge to tackle a wide range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations of applications and practices, since to thrive in these data-driven ecosystems, researchers, data analysts and practitioners must understand the design choice and options of these approaches. This book helps readers to solve complex benchmark problems and to better appreciate the concepts, tools and techniques used.

Knowledge workers create the innovations and strategies that keep their firms competitive and the economy healthy. Yet, companies continue to manage this new breed of employee with techniques designed for the Industrial Age. As this critical sector of the workforce continues to increase in size and importance, that's a mistake that could cost companies their future. Thomas Davenport argues that knowledge workers are vastly different from other types of workers in their motivations, attitudes, and need for autonomy--and, so, they require different management techniques to improve their performance and productivity. Based on extensive research involving over 100 companies and more than 600 knowledge workers, Thinking for a Living provides rich insights into how knowledge workers think, how they accomplish tasks, and what motivates them to excel. Davenport identifies four major categories of knowledge workers and presents a unique framework for matching specific types of workers with the management strategies that yield the greatest performance. Written by the field's premier thought leader, Thinking for a Living reveals how to maximize the brain power that fuels organizational success. Thomas Davenport holds the President's Chair in Information Technology and Management at Babson College. He is director of research for Babson Executive Education; an Accenture Fellow; and author, co-author, or editor of nine books, including Working Knowledge: How Organizations Manage What They Know (HBS Press, 1997).

In order to protect the built environment in earthquake-prone regions of the world It is important to retrofit and rehabilitate existing structures and infrastructure, as well as to ensure the optimal design and construction of new facilities. The high stakes in human life and property in urban densely populated urban areas has been driving research on advances in this field. These advances are presented biennially at a conference organized by the Wessex Institute of Technology. This book contains the papers from the latest conference in the series, which began in 1991. The papers cover Geographical and geotechnical engineering; Seismic hazard and vulnerability; Seismic isolation and energy dissipation; Structural dynamics; Building performance during earthquakes; Retrofitting; Lifelines; Material mechanics and characterisation; Nonlinear numerical analysis; Performance based design; Experimental studies; Safety and security; and Innovative technologies.