In the last few years rapid advances have been made in reproductive medicine, making it necessary for those involved to regularly update their knowledge. The purpose of this book is to describe the state of the art in this field, making it possible for the reader to gain an orientation among all the diagnostic and therapeutic potentials of modern reproductive medicine in order to advise patients fully. Chapters from the fields of gynecology, and reproductive medicine in a specific sense provide knowledge about these subjects. Authors of international standing have contributed chapters on their specialties. These chapters together form a book describing the state of the art in the diagnosis and therapy of sterility in gynecology and andrology.

Promoting organizational knowledge is an important consideration for any business looking toward the future. Understanding the dynamics of knowledge-intensive organizations is a crucial first step in establishing a strong knowledge base for any organization. Organizational Knowledge Dynamics: Managing Knowledge Creation, Acquisition, Sharing, and Transformation introduces the idea that organizational knowledge is composed of three knowledge fields: cognitive knowledge, emotional knowledge, and spiritual knowledge. This book is useful for graduate students, researchers, and practitioners in knowledge management, intellectual capital, human resources management, change management, and strategic management.

A special year like 1999 invites one to draw a balance of what has been achieved in the roughly 30 years of research and development in knowledge based systems (still abbreviated as XPS following the older term “expert systems”) and to take a look at th what the future may hold. For the 5 German conference on knowledge-based systems we therefore asked current and former speakers of the four working groups (FG’s) in the subdivision of knowledge-based systems (FA 1.5) of the German association of Informatics (GI) to present a survey of and future prospects for their respective fields: knowledge engineering, diagnosis, configuration, and case-based reasoning. An additional 14 technical papers deal with current topics in knowledge-based systems with an equal emphasis on methods and applications. They are selected from more than 50 papers accepted in the 4 parallel workshops of XPS-99: a) Knowledge Management, Organizational Memory and Reuse, b) various fields of applications, c) the traditional PuK Workshop (planning and configuration), and d) the GWCBR (German workshop on case-based reasoning). The other papers presented at these workshops are not included in this volume but are available as internal reports of Würzburg university together with the exhibition guide that emphasizing tool support for building knowledge based systems.

The ways in which codified and tacit knowledge are sourced, transferred, and combined are critical in furthering open innovation. When used effectively, knowledge sharing and organizational success are significantly increased, improving products and services. The Role of Knowledge Transfer in Open Innovation is a collection of innovative research on a set of analyses, reflections, and recommendations within the framework of knowledge transfer practices in different areas of knowledge and in various industries. While highlighting topics including tacit knowledge, organizational culture, and knowledge representation, this book is ideally designed for professionals, academicians, and researchers seeking current research on the best practices for transfer of knowledge as an intermediate open innovation.

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.

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.

A cognitive psychology which becomes increasingly specialized requires a special effort in order to avoid a fragmentation into several controversial issues that are independently discussed but also inherently related. Rather than asking additional differentiated questions which are then investigated by more specialized experimental methods and designs, this book promotes unified theories and a levels approach for their experimental evaluation. Within this cognitive science approach and on the basis of the most foundational assumptions of Kintsch's construction integration theory, a computational theory of knowledge acquisition is then developed and subsequently evaluated by psychological experiments. For forty years, computer simulation techniques and experimental psychology research have greatly matured the understanding of human knowledge and its acquisition in different learning environments. This volume critically assesses the advantages and limitations of these approaches and then develops an integrated research methodology. It goes on to provide significant progress concerning the following questions: * What are the most promising research methodologies for investigating human cognition? * How can the experimental psychology research on text comprehension, concept formation, and memory become more closely related to one another when the very specialized research paradigms and the highly specific scientific controversies promote their separation and independent discussion? * How can a general comprehension-based theory bridge the gap between simple experimental settings and the real-life situations that occur in education and work environments? This book demonstrates how experimental psychology can proceed more successfully by investigating those aspects that are shared among different areas of research like text comprehension, categorization, and learning by exploration. It also shows how unified theories can assist in applying experimental psychology and cognitive science results to areas such as intelligent tutoring systems, instructional design, and the development of expert systems in complex real world domains.