Knowledge Management Systems

Knowledge management promises concepts and instruments that help organizations support knowledge creation, sharing and application. This book offers a comprehensive account of the many facets, concepts and theories that have influenced knowledge management and integrates them into a framework consisting of strategy, organization, systems and economics guiding the design of successful initiatives. The third edition extends coverage of the two pillars of implementing knowledge management initiatives, organization and systems.

Information and knowledge have fundamentally transformed the way business and social institutions work. Knowledge management promises concepts and instruments that help organizations to provide an environment supportive of knowledge generation, sharing and application. Information and communication technology (ICT) is often regarded as the enabler for the effective and especially the efficient implementation of knowledge management. The book presents an almost encyclopedic treatise of the many important facets, concepts and theories that have influenced knowledge management and integrates them into a general knowledge management framework consisting of strategy, organization, systems and economics. The book also contains the state of practice of knowledge management on the basis of a comprehensive empirical study, and concludes with four scenarios of the successful application of ICT in knowledge management initiatives.

UML for Developing Knowledge Management Systems provides knowledge engineers the framework in which to identify types of knowledge and where this knowledge exists in an organization. It also shows ways in which to use a standard recognized notation to capture, or model, knowledge to be used in a knowledge management system (KMS). This volume

This book combines knowledge management with other subject areas within the management information systems field using contingent approaches to linking knowledge management to other IT management topics and its uses.

Until now, business systems have focused on selected data within a certain context to produce information. A better approach, says Thierauf, is to take information accompanied by experience over time to generate knowledge. He demonstrates that knowledge management systems can be used as a source of power to outmaneuver business competitors. Knowledge discovery tools enable decision makers to extract the patterns, trends, and correlations that underlie the inner (and inter-) workings of a company. His book is the first comprehensive text to define this important new direction in computer technology and will be essential reading for MIS practitioners, systems analysts, and academics researching and teaching the theory and applications of knowledge management systems. Thierauf centers on leveraging a company's knowledge capital. Indeed, knowledge is power—the power to improve customer satisfaction, marketing and production methods, financial operations, and other functions. Thierauf shows how knowledge, when developed and renewed, can be applied to a company's functional areas and provide an important competitive advantage. By utilizing some form of internal and external computer networks and providing some type of knowledge discovery software that encapsulates usable knowledge, Thierauf shows how to create an infrastructure to capture knowledge, store it, improve it, clarify it, and disseminate it throughout the organization, then how to use it regularly. His book demonstrates clearly how knowledge management systems focus on making knowledge available to company employees in the right format, at the right time, and in the right place. The result is inevitably a higher order of intelligence in decision making, more so now than could ever have been possible in even the most recent past.

Within the past ten years, tremendous innovations have been brought forth in information technology and knowledge management. Some of the key technical innovations have included the introduction of social media, artificial intelligence, as well as improved network connectivity and capacity. Effective Knowledge Management Systems in Modern Society is a critical scholarly resource that presents an overview of how technical, social, and process changes are impacting the way knowledge systems are being designed. Featuring coverage on a broad range of topics such as knowledge engineering, cognitive ergonomics, and interorganizational knowledge, this book is geared toward consultants, practitioners, and researchers seeking current research on how new approaches in knowledge management impact information technology professionals.

This text serves as a complete introduction to the subject of knowledge management (KM), incorporating technical and social aspects, as well as concepts, practical examples, traditional KM approaches, and emerging topics.

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.