Is your organization missing important lessons from its operational experiences? This step-by-step guide shows you how to systematically capture such knowledge and use it to inform decision making, support professional learning, and scale up successes. The captured lessons--knowledge assets, the central element needed for learning--are consistently formatted documents that use operational experience to answer a specific question or challenge. The guide describes how to create and use knowledge assets in five steps: (1) identify important lessons learned by participants, (2) capture those lessons with text or multimedia documents, (3) confirm their validity, (4) prepare them for dissemination, and (5) use them for sharing, replication, and scaling up. Included tools, templates, and checklists help you accomplish each step.

This volume offers a simple, systematic guide to creating a knowledge sharing practice in your organization. It shows how to build the enabling environment and develop the skills needed to capture and share knowledge gained from operational experiences to improve performance and scale-up successes. Its recommendations are grounded on the insights gained from the past seven years of collaboration between the World Bank and its clients around the world—ministries and national agencies operating in various sectors—who are working to strengthen their operations through robust knowledge sharing. While informed by the academic literature on knowledge management and organizational learning, this handbook’s operational background and many real-world examples and tips provide a missing, practical foundation for public sector officials in developing countries and for development practitioners. However, though written with a public sector audience in mind, the overall concepts and approaches will also hold true for most organizations in the private sector and the developed world.

Illustrated by the experience of the World Bank, this book explains how knowledge management, traditionally viewed as being about information systems and processes, can play a fundamental corporate role by creating a competitive edge for organizations, increasing team performance, and fostering effective, large-scale organizational change. Rich and powerful stories, told by economic development practitioners and knowledge management specialists throughout the World Bank, describe the strategies, instruments, tools, and processes at the core of one of the most important and radical reorganizations of the world’s premier international development institution. Going far beyond other knowledge management titles, this book: shows how knowledge management can be a source of competitive advantage and team performance, rather than a back-room support function focuses on the role of the "software" of knowledge management, most notably the use of communities, culture, and collaboration across internal silos to create value; and demonstrates the role that knowledge management can play in fostering innovation, and development of new business lines and strategies by global teams in diverse locations Written not only for knowledge management professionals, but also for C-suite executives and middle managers who will see the benefits of bringing knowledge management to the core of organizational performance and competitive advantage, the book provides practical examples that can be replicated in other large global knowledge, financing, and development institutions and that will be relevant for public, private, and non-profit organizations.

Organizations face many challenges in managing ever-increasing documents that they need to conduct their businesses. IBM® content management and imaging solutions can capture, store, manage, integrate, and deliver various forms of content throughout an enterprise. These tools can help reduce costs associated with content management and help organizations deliver improved customer service. The advanced document capture capabilities are provided through IBM Datacap software. This IBM Redbooks® publication focuses on Datacap components, system architecture, functions, and capabilities. It explains how Datacap works, how to design a document image capture solution, and how to implement the solution using Datacap Developer Tools, such as Datacap FastDoc (Admin). FastDoc is the development tool that designers use to create rules and rule sets, configure a document hierarchy and task profiles, and set up a verification panel for image verification. A loan application example explains the advanced technologies of IBM Datacap Version 9. This scenario shows how to develop a versatile capture solution that is able to handle both structured and unstructured documents. Information about high availability, scalability, performance, backup and recovery options, preferable practices, and suggestions for designing and implementing an imaging solution is also included. This book is intended for IT architects and professionals who are responsible for creating, improving, designing, and implementing document imaging solutions for their organizations.

This book provides a unique account of cross-sectoral innovations through efficient partnerships based on the hands-on experience of internationally renowned contributors specialised in the field of Science of Delivery. The challenges and lessons learned from large development initiatives based in Asia, and from the work undertaken by international research institutions, such as the FAO, are brought together in this book to benefit development agencies, policy makers, corporates, post graduate students, farmers’ organizations, and those involved in supplying agricultural inputs and/or buying agricultural produce, particularly in developing countries within Asia and Africa. Through a number of case studies the book describes how the consortium approach of capacity building for equitable and efficient benefits, collective action, and convergence, will benefit millions of small farm-holders in different regions of Asia

This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.