The Future Of Knowledge Management

In this book leading scholars debate current issues and shed light on future prospects in the field of Knowledge Management. It presents new perspectives on knowledge and learning, including modes of knowing in practice, transactive knowledge systems, organizational narrations, and challenges conventional wisdom. It deals with emerging issues in knowledge and innovation embracing models of distributed innovation and forms of co-operation. It also includes problems in managing knowledge, leadership issues and how to measure knowledge.

Verna Allee presents her vision of the future of knowledge in organizations and contends that in order to succeed in the new century, businesses need to think beyond knowledge management and move to re-thinking the nature, structure, and identity of organizations themselves. As a society we are massively reorganizing and re-skilling to thrive in a complex interdependent world, and the business world needs to be part of this change. This is a guide for businesses to managing greater and greater levels of complexity within their organizations and in society at large.

The best thinking and actions in the fast-moving arena of collaboration and knowledge management The New Edge in Knowledge captures the most practical and innovative practices to ensure organizations have the knowledge they need in the future and, more importantly, the ability to connect the dots and use knowledge to succeed today. Build or retrofit your organization for new ways of working and collaboration by using knowledge management Adapt to today's most popular ways to collaborate such as social networking Overcome organization silos, knowledge hoarding and "not invented here" resistance Take advantage of emerging technologies and mobile devices to build networks and share knowledge Identify what can be learned from Facebook, Twitter, Google and Amazon to make firms and people smarter, stronger and faster Straightforward and easy-to-follow, this is the resource you'll turn to again and again to get-and stay-in the know. Plus, the book is filled with real-world examples – the case studies and snapshots of how best practice companies are achieving success with knowledge management.

This edited volume explores the challenges and opportunities of knowledge management (KM) in the post-pandemic world. Intangibles have become dominant resources, and their effective management is key to navigating the complexity of the new business environment. The book is divided into three parts, each focusing on a different aspect of KM: complexity, human factors, and technology. Through 15 chapters by 28 contributors from 18 countries, this collection offers a diverse range of perspectives on the evolution of KM over the past decade and its potential for the future. The contributors analyze topics such as digital transformation, distant reading, knowledge visualization, and advanced KM systems. This volume will be of interest to researchers and practitioners in the field of KM, as well as to anyone interested in the challenges and opportunities facing organizations in the post-pandemic world. This edited volume celebrates the 10th anniversary of the International Association for Knowledge Management, offering an overview of the field's achievements and prospects for innovation and sustainability.

Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge. Knowledge Management in the Development of Data-Intensive Systems addresses new challenges arising from knowledge management in the development of data-intensive software systems. These challenges concern requirements, architectural design, detailed design, implementation and maintenance. The book covers the current state and future directions of knowledge management in development of data-intensive software systems. The book features both academic and industrial contributions which discuss the role software engineering can play for addressing challenges that confront developing, maintaining and evolving systems;data-intensive software systems of cloud and mobile services; and the scalability requirements they imply. The book features software engineering approaches that can efficiently deal with data-intensive systems as well as applications and use cases benefiting from data-intensive systems. Providing a comprehensive reference on the notion of data-intensive systems from a technical and non-technical perspective, the book focuses uniquely on software engineering and knowledge management in the design and maintenance of data-intensive systems. The book covers constructing, deploying, and maintaining high quality software products and software engineering in and for dynamic and flexible environments. This book provides a holistic guide for those who need to understand the impact of variability on all aspects of the software life cycle. It leverages practical experience and evidence to look ahead at the challenges faced by organizations in a fast-moving world with increasingly fast-changing customer requirements and expectations.

Verna Allee, whose groundbreaking book 'The Knowledge Evolution' helped usher in the exploding field of knowledge management, has brought her experience-tested insights into an exciting new synthesis, penetrating to the very heart of value creation. 'The Future of Knowledge' strips away traditional business thinking to reveal the new patterns of management thought and practice essential for success in a more complex world. With a gift for making the complex simple and practical, Allee weaves together diverse threads such as business webs, communities of practice, knowledge technologies, intangibles, network analysis, and biology to show why organizations must be supported as living systems before their natural networked pattern of organization can emerge. Embodying Allee's visionary approach, 'The Future of Knowledge' brings forward a practical view of new theories, frameworks, tools, and methods offering businesses a guide to managing the increasing levels of complexity within their organizations and in society at large. 'The Future of Knowledge' works on many levels: * At the strategic level, the new tools are intangible scorecards and understanding value networks * At the tactical level, the knowledge management tools for exchanging and applying knowledge are knowledge networks and communities of practice * At the operational level, a wealth of new technologies is supporting the codification, storage and delivery of the knowledge people need to complete their routine tasks.

This book is your guide to ensuring future generations know what you know and can apply it in their time. This book is your guide to knowledge management for the future leaders of your organization. In other words, it ensures that they will know what you know and be able to apply your experiences to similar encounters in their time.

Provides comprehensive, in-depth coverage of all issues related to knowledge management, including conceptual, methodological, technical, and managerial issues. Presents the opportunities, future challenges, and emerging trends related to this subject.