Download Free Knowledge Sharing Among Scientists Book in PDF and EPUB Free Download. You can read online Knowledge Sharing Among Scientists and write the review.

Explores the relationship between social characteristics of scientists and the interpersonal sharing of technological knowledge. The findings illuminate attributes of reputation conducive to the voluntary transfer of timely, relevant, technological knowledge among individual R&D scientists in the same multidivisional, multinational firm.
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.
In this volume organizational learning theory is used to analyse various practices of managing and facilitating knowledge sharing within companies. Experiences with three types of knowledge sharing, namely knowledge acquisition, knowledge reuse, and knowledge creation, at ten large companies are discussed and analyzed. This critical analysis leads to the identification of traps and obstacles when managing knowledge sharing, when supporting knowledge sharing with IT tools, and when organizations try to learn from knowledge sharing practices. The identification of these risks is followed by a discussion of how organizations can avoid them. This work will be of interest to researchers and practitioners working in organization science and business administration. Also, consultants and organizations at large will find the book useful as it will provide them with insights into how other organizations manage and facilitate knowledge sharing and how potential failures can be prevented.
At a time when budgets are dwindling, libraries must overcome insularity through collaborative initiatives that allow them to support each other through resource sharing and networking. These collaborative networks can expand beyond libraries to include cooperative efforts with archives and museums in order to surpass challenges in the digital era. Cooperation and Collaboration Initiatives for Libraries and Related Institutions is a critical research publication that explores digital advancements in library collaborative technologies and the steps needed to implement them in order to achieve institutional goals. Featuring topics such as e-records, policymaking, and open educational resources, this book is essential for librarians, archival staff, museum staff, knowledge managers, policymakers, educators, and researchers.
As branches of research and knowledge continue to expand, platforms for gathering and understanding new information become important aspects of organizational improvement. Contemporary Knowledge and Systems Science provides emerging research on the methods and applications of knowledge systems in social science, economics, and technological developments. While highlighting topics such as knowledge retention, organizational information, and evolutionary algorithms, this publication explores the different types of new knowledge from a systems perspective. This book is an important resource for researchers, academics, practitioners, and graduate-level students seeking current research on the connections between technology and information in order to manage new data.
Knowledge in its pure state is tacit in nature—difficult to formalize and communicate—but can be converted into codified form and shared through both social interactions and the use of IT-based applications and systems. Even though there seems to be considerable synergies between the resulting huge data and the convertible knowledge, there is still a debate on how the increasing amount of data captured by corporations could improve decision making and foster innovation through effective knowledge-sharing practices. Big Data and Knowledge Sharing in Virtual Organizations provides innovative insights into the influence of big data analytics and artificial intelligence and the tools, methods, and techniques for knowledge-sharing processes in virtual organizations. The content within this publication examines cloud computing, machine learning, and knowledge sharing. It is designed for government officials and organizations, policymakers, academicians, researchers, technology developers, and students.
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.
Researchers in the environmental sciences are often frustrated because actors involved with practice do not follow their advice. This is the starting point of this book, which describes a new model for scientific knowledge transfer called RIU, for Research, Integration and Utilization. This model sees the factors needed for knowledge transfer as being state-of-the-art research and the effective, practical utilization to which it leads, and it highlights the importance of “integration”, which in this context means the active bi‐directional selection of those research results that are relevant for practice. In addition, the model underscores the importance of special allies who are powerful actors that support the application of scientific research results in society. An important product of this approach is a checklist of factors for successful knowledge transfer that will be useful for scientists. By using this checklist, research projects and research programs can be optimised with regard to their potential for reaching successful knowledge transfer effects.
In today’s globalized world, viable and reliable research is fundamental for the development of information. Innovative methods of research have begun to shed light on notable issues and concerns that affect the advancement of knowledge within information science. Building on previous literature and exploring these new research techniques are necessary to understand the future of information and knowledge. The Handbook of Research on Connecting Research Methods for Information Science Research is a collection of innovative research on the methods and application of study methods within library and information science. While highlighting topics including data management, philosophical foundations, and quantitative methodology, this book is ideally designed for librarians, information science professionals, policymakers, advanced-level students, researchers, and academicians seeking current research on transformative methods of research within information science.
Leveraging the knowledge gained from Knowledge Management and from the growing fields of Analytics and Artificial Intelligence (AI), this Research Agenda highlights the research gaps, issues, applications, challenges and opportunities related to Knowledge Management (KM). Exploring synergies between KM and emerging technologies, leading international scholars and practitioners examine KM from a multidisciplinary perspective, demonstrating the ways in which knowledge sharing worldwide can be enhanced in order to better society and improve organisational performance.