Knowledge is recognized as a key resource for organizational success. Making the best use of this resource is an important concern for both researchers and practitioners. The importance of knowledge management (KM) contributes to organizational competitiveness, which is widely addressed and became a central topic of management agenda in the last decade. Knowledge management (KM) has been recognized as an imperative element for leveraging organizational effectiveness and performance. Organizations practicing effective KM methods achieve positive results in their organizational competitiveness, particularly innovation and creativity. Despite the positive effects of KM, research on the KM pillars remains diverse. The knowledge management strategy for requirements engineering is a high-level plan oriented to the transferor transformation of knowledge. The strategy has the aim of eliciting, structuring and creating knowledge that can be incorporated into a specification closest to the needs and expectations of clients.
This book deals with the development of information systems to the design and application of knowledge-intensive information systems. The book examines major knowledge management pillars, including people, process, and technology, for effective KM deployment. The high-precision observation and measurement techniques have accelerated the rapid development of geoscience research in the past decades and have produced large amounts of research outputs. Requirement engineering in any software development is the most important phase to ensure the success or failure of software. Knowledge modeling and management are helping tools to learn about software organizations. In this book, we described the need for knowledge management in software engineering and then proposed a model based on knowledge management to support the software development process. Knowledge Management (KM) projects are socio-technical systems that enable knowledge activities and ensure that the right knowledge gets to the right person at the right time. The crucial role of KM in achieving companies’ organizational objectives generates a great interest in KM projects and an increasing trend in KM adoption. As the number of KM applications is growing, there is a focus shift towards measuring the performance of such KM projects in order to rationalize their usage. In this book, we propose a generic KM performance measurement model fitting any kind of KM projects. We hope the presented work will be of interest to the text mining community, and we anticipate more innovative text mining applications will appear in geoscience and other disciplines in the near future.
The book will be interesting not only for the researchers and students but also for the managers who want to improve knowledge sharing and innovation capabilities in their organizations.