Dynamic Models For Knowledge Driven Organizations

Since knowledge systems and knowledge management programs are put in place to monitor workers in the performance of their jobs; knowledge is, therefore, an essential component in the achievement of goals and production of economic benefit of an organization. Dynamic Models for Knowledge-Driven Organizations presents a widespread collection of research on the understanding of the managerial, technical and human issues associated with the use of knowledge in organizations while bearing in mind the design, development, and maintenance of useful knowledge management systems. This reference is essential for the tools and information needed to effectively implement knowledge management systems and would benefit researchers and practitioners alike.

Creating Knowledge Based Organizations brings together high quality concepts and techniques closely related to organizational learning, knowledge workers, intellectual capital, and knowledge management. It includes the methodologies, systems and approaches that are needed to create and manage knowledge based organizations.

Knowledge Management and Management Learning: Extending the Horizons of Knowledge-Based Management examines a range of topical considerations in the field by utilizing dynamic and non-linear systems behavior or the complexity paradigm. From this examination have come a number of new and promising relevant extensions to knowledge management and its practice. Many of the topics have been pulled from "real world" situations in actual companies, and therefore these topical treatments reflect quantitative and qualitative research done within the knowledge management framework of actual company experience. Offered are a series of topical treatments that extend the parameters of knowledge management and examine the practical implications of these extensions. The book begins with an extended introduction and theoretical framework. The contributing authors have written chapters that add to both the framework and the practical consequences of knowledge management. Within this context, the book illustrates why and how of knowledge management is important for companies.

In a technology-driven world, it is essential that enterprises develop reliable and rapid flows of knowledge to distribute evenly across organizations, time and place, and individuals in order to sustain a competitive advantage. However, most leaders and managers are unacquainted with effective knowledge flow practices. Harnessing Dynamic Knowledge Principles in the Technology-Driven World provides actionable principles of Knowledge Flow Theory to identify and solve problems for implementing these principles into practice. With emerging developments and widespread applicability, this book is a practical guide for scholars, business managers, and enterprise leaders and managers interested in understanding the dynamics of knowledge flows for competitive advantage in a technology-driven world.

Knowledge management can be a powerful tool if successfully implemented into an organizational structure. Uncovering the latest methods, tools, trends, and strategies in organizational knowledge management should be a priority for individuals working in a variety of industries. Knowledge Management Practice in Organizations: The View from Inside brings together industry experts to discuss the realities of knowledge management work in organizations. Examining the challenges associated with operational knowledge management, this work provides insight into the day-to-day practice of knowledge management in real-life settings. Organizational leaders and professionals, librarians, students, and researchers will find this publication to be an essential tool in understanding knowledge management implementation.

The concept of dynamic capabilities, especially in terms of organizational knowledge processes, has become the predominant paradigm for the explanation of competitive advantages. However, major unsolved - or at least insufficiently solved - problems are first their measurement and second their management by concrete managerial options, such as design options of organizational structures. Dynamic Capabilities provides an integrated descriptive model of both dynamic capabilities and organizational structures that allows characterizing, classifying and a comparison. It develops a logic system of a multitude of combinatorial possibilities between their variables, and it develops a complex and integrated system of associated empirically based and qualitatively deduced hypotheses. Therewith, it serves as a terminological and analytical foundation for the identification of knowledge-based dynamic capabilities in organizations and for a targeted design of organizational structures that enable and foster dynamic capability processes such as knowledge transfer and knowledge absorption.

With the advent of electronic databases, information technologies, and the Internet, organizations now more than ever have easy access to all the knowledge they need to conduct their affairs. Identifying the useful information in all that data, however, can pose a challenge. Knowledge Discovery, Transfer, and Management in the Information Age brings together the latest empirical research in knowledge management practices and information retrieval strategies to assist organizations in effectively and efficiently utilizing the data at their disposal. Academics, managers, researchers, and professionals within the field of knowledge management will make use of this book to increase their understanding of best practices in the manipulation of information resources.

“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.