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Smart Things to Know About, Knowledge Management

Smart Things to Know About, Knowledge Management PDF Author: Thomas M. Koulopoulos
Publisher: Capstone
ISBN: 9781841120416
Category : Business & Economics
Languages : en
Pages : 0

Book Description
The business world is turning to the knowledge-based enterprise for survival - sharp advice on maximising corporate wisdom.

Smart Things to Know About, Knowledge Management

Smart Things to Know About, Knowledge Management PDF Author: Thomas M. Koulopoulos
Publisher: Capstone
ISBN: 9781841120416
Category : Business & Economics
Languages : en
Pages : 0

Book Description
The business world is turning to the knowledge-based enterprise for survival - sharp advice on maximising corporate wisdom.

Smart Information and Knowledge Management

Smart Information and Knowledge Management PDF Author: Edward Szczerbicki
Publisher: Springer Science & Business Media
ISBN: 3642045839
Category : Business & Economics
Languages : en
Pages : 346

Book Description
This text provides guidelines to develop tools for smart processing of knowledge and information. It uses cutting-edge ideas, recent research, and case studies to explore the complexities and challenges of modern knowledge management issues.

The Smart Mission

The Smart Mission PDF Author: Edward J. Hoffman
Publisher: MIT Press
ISBN: 0262547279
Category : Business & Economics
Languages : en
Pages : 175

Book Description
Why human skills and expertise, not technical tools, are what make projects succeed. The project is the basic unit of work in many industries. Software applications, antiviral vaccines, launch-ready spacecraft: all were produced by a team and managed as a project. Project management emphasizes control, processes, and tools—but, according to The Smart Mission, that is not the right way to run a project. Human skills and expertise, not technical tools, are what make projects successful. Projects run on knowledge. This paradigm-shifting book—by three project management experts, all of whom have decades of experience at NASA and elsewhere—challenges the conventional wisdom on project management, focusing on the human dimension: learning, collaboration, teaming, communication, and culture. The authors emphasize three themes: projects are fundamentally about how teams work and learn together to get things done; the local level—not an organization’s upper levels—is where the action happens; and projects don’t operate in a vacuum but exist within organizations that are responsible to stakeholders. Drawing on examples and case studies from NASA and other organizations, the authors identify three project models—micro, macro, and global—and their different knowledge needs. Successful organizations have a knowledge-based culture. Successful project management guides the interplay of knowledge, projects, and people.

Intelligent Systems for Knowledge Management

Intelligent Systems for Knowledge Management PDF Author: Edward Szczerbicki
Publisher: Springer Science & Business Media
ISBN: 3642041698
Category : Mathematics
Languages : en
Pages : 336

Book Description
New approaches are needed that could move us towards developing effective systems for problem solving and decision making, systems that can deal with complex and ill-structured situations, systems that can function in information rich environments, systems that can cope with imprecise information, systems that can rely on their knowledge and learn from experience - i.e. intelligent systems. One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 13 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore and the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.

Smart KM Model

Smart KM Model PDF Author: Allam Ahmed
Publisher:
ISBN: 9781907106606
Category :
Languages : en
Pages : 88

Book Description


Digital Technology Advancements in Knowledge Management

Digital Technology Advancements in Knowledge Management PDF Author: Gyamfi, Albert
Publisher: IGI Global
ISBN: 1799867943
Category : Business & Economics
Languages : en
Pages : 275

Book Description
Knowledge management has always been about the process of creating, sharing, using, and applying knowledge within and between organizations. Before the advent of information systems, knowledge management processes were manual or offline. However, the emergence and eventual evolution of information systems created the possibility for the gradual but slow automation of knowledge management processes. These digital technologies enable data capture, data storage, data mining, data analytics, and data visualization. The value provided by such technologies is enhanced and distributed to organizations as well as customers using the digital technologies that enable interconnectivity. Today, the fine line between the technologies enabling the technology-driven external pressures and data-driven internal organizational pressures is blurred. Therefore, how technologies are combined to facilitate knowledge management processes is becoming less standardized. This results in the question of how the current advancement in digital technologies affects knowledge management processes both within and outside organizations. Digital Technology Advancements in Knowledge Management addresses how various new and emerging digital technologies can support knowledge management processes within organizations or outside organizations. Case studies and practical tips based on research on the emerging possibilities for knowledge management using these technologies is discussed within the chapters of this book. It both builds on the available literature in the field of knowledge management while providing for further research opportunities in this dynamic field. This book highlights topics such as human-robot interaction, big data analytics, software development, keyword extraction, and artificial intelligence and is ideal for technology developers, academics, researchers, managers, practitioners, stakeholders, and students who are interested in the adoption and implementation of new digital technologies for knowledge creation, sharing, aggregation, and storage.

Knowledge Management in the Intelligence Enterprise

Knowledge Management in the Intelligence Enterprise PDF Author: Edward Waltz
Publisher: Artech House
ISBN: 1580534945
Category : Business & Economics
Languages : en
Pages : 357

Book Description
If you are responsible for the management of an intelligence enterprise operation and its timely and accurate delivery of reliable intelligence to key decision-makers, this book is must reading. It is the first easy-to-understand, system-level book that specifically applies knowledge management principles, practices and technologies to the intelligence domain. The book describes the essential principles of intelligence, from collection, processing and analysis, to dissemination for both national intelligence and business applications.

Knowledge Management and Engineering with Decisional DNA

Knowledge Management and Engineering with Decisional DNA PDF Author: Edward Szczerbicki
Publisher: Springer Nature
ISBN: 3030396010
Category : Technology & Engineering
Languages : en
Pages : 262

Book Description
This is the first book on experience-based knowledge representation and knowledge management using the unique Decisional DNA (DDNA) technology. The DDNA concept is roughly a decade old, and is rapidly attracting increasing attention and interest among researchers and practitioners. This comprehensive book provides guidelines to help readers develop experience-based tools and approaches for smart engineering of knowledge, data and information. It does not attempt to offer ultimate answers, but instead presents ideas and a number of real-world case studies to explore and exemplify the complexities and challenges of modern knowledge engineering issues. It also increases readers’ awareness of the multifaceted interdisciplinary character of such issues to enable them to consider – in different ways – developing, evaluating, and supporting smart knowledge engineering systems that use DDNA technology based on experience.

Artificial Intelligence for Knowledge Management

Artificial Intelligence for Knowledge Management PDF Author: Eunika Mercier-Laurent
Publisher: Springer Nature
ISBN: 3030808475
Category : Computers
Languages : en
Pages : 262

Book Description
This book features a selection of extended papers presented at the 8th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2021, held in Yokohama, Japan, in January 2021, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2020.* The 14 revised and extended papers presented together with an invited talk were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management and discuss methodological, technical and organizational aspects of artificial intelligence used for knowledge management. *The workshop was held virtually.

Knowledge Management and Virtual Organizations

Knowledge Management and Virtual Organizations PDF Author: Yogesh Malhotra
Publisher: IGI Global
ISBN: 9781878289735
Category : Computers
Languages : en
Pages : 408

Book Description
Annotation Twenty essays present current research on knowledge management as related to effective design of new organization forms. The first section of the book covers frameworks, models, analyses, case studies and research on the integration of knowledge management within virtual organizations, virtual teams and virtual communities of practice. Themes covered in this section include business model innovation; design of virtual organization forms; net-based models; techniques for enabling knowledge capture, sharing and transfer; and collaboration and competition at intra- and inter-organizational levels. The focus of the second half is on key success factors that are important for realizing virtual models of business transformation. Topics include the role of organizational control systems, the role of internal and external employees and customers in creation of organizational knowledge, and information quality issues. Annotation c. Book News, Inc., Portland, OR (booknews.com).