This book establishes constructivist, interpretivist, and linguistic approaches based on conventions about the nature of qualitative and text data, the author’s influence on text interpretation, and the validity checks used to justify text interpretations. Vast quantities of text and qualitative data in organizations often go unexplored. Text analytics outlined in this book allow readers to understand the process of converting unstructured text data into meaningful data for analysis in order to measure employee opinions, feedback, and reviews through sentiment analysis to support fact-based decision making. The methods involve using NVivo and RapidMiner software to perform lexical analysis, categorization, clustering, pattern recognition, tagging, annotation, memo creation, information extraction, association analysis, and visualization. The methodological approach in the book uses innovation theory as a sensitizing concept to lay the foundation for the analysis of research data, suggesting approaches for empirical exploration of organizational learning, knowledge management, and innovation practices amongst geographically dispersed individuals and team members. Based on data obtained from a private educational organization that has offices dispersed across Asia through focus group discussions and interviews on these topics, the author highlights the need for integrating organizational learning, knowledge management, and innovation to improve organizational performance, exploring perspectives on collective relationships and networks, organizational characteristics and structures, and tacit and overt values which influence such innovation initiatives. In the process, the author puts forward a new theory which is built on three themes: relationship and networks, knowledge sharing mechanisms, and the role of social cognitive schema that facilitate emergent learning, knowledge management, and innovation.

This book propagates the argument that innovation is heavily influenced by learning, which in turn is driven by knowledge. This means that extensive knowledge (as a basis for good knowledge management) is necessary for learning that is suitable for innovation. Since previous studies have not paid enough attention to determining which types of knowledge can be suitable or defective, this book serves to fill the void through a number of well-written articles by some of the most renowned and respected names in the fields of knowledge management, learning and innovation. From Knowledge Management to Learning Organisation to Innovation offers readers the chance to further enhance their understanding of the knowledge management and learning practices that are relevant to organizational activities. This volume is also designed to alert the management of all organisations to the risks that they could face if the innovation process is not carefully managed. It is particularly unique because of the assistance it offers to companies in avoiding exposing themselves to unnecessary problems should they not ensure that appropriate knowledge and learning processes have taken place.

In order to strive for a competitive advantage in their industry, organizations have begun achieving innovation through knowledge-driven learning models to ensure that organizational activities are efficient and effective. Learning Models for Innovation in Organizations: Examining Roles of Knowledge Transfer and Human Resources Management provides relevant theoretical frameworks and empirical research findings to enhance knowledge management and learning competencies for organizational activities. This book offers assistance and guidance to managers and professionals of innovation firms, learning organizations, and other work communities through tools, techniques, and strategic suggestions for improvement.

Knowledge management (KM) is a set of relatively-new organizational activities that are aimed at improving knowledge, knowledge-related practices, organizational behaviors and decisions and organizational performance. KM focuses on knowledge processes—knowledge creation, acquisition, refinement, storage, transfer, sharing and utilization. These processes support organizational processes involving innovation, individual learning, collective learning and collaborative decision-making. The “intermediate outcomes” of KM are improved organizational behaviors, decisions, products, services, processes and relationships that enable the organization to improve its overall performance. Knowledge Management and Organizational Learning presents some 20 papers organized into five sections covering basic concepts of knowledge management; knowledge management issues; knowledge management applications; measurement and evaluation of knowledge management and organizational learning; and organizational learning.

"This book is a detailed resource on knowledge management and innovations that has been written and edited to provide flexibility and in-depth knowledge management innovations, strategies, and practices"--Provided by publisher.

ASKing (Appreciative Sharing of Knowledge) is at the heart of this comprehensive, compelling, and cutting edge guide to appreciative knowing and innovation. The authors have really managed to push the appreciative envelope here. They ve taken well-known appreciative inquiry frameworks and methods, effectively improved on them, and extended them into the all important area of knowledge development and knowledge sharing. I expect that readers in all kinds of organizations and at many levels will find the ASK system readily usable and effective. The in-depth case studies across a wide variety of industries (including government) turn the book into a fine guide for knowledge sharing, making it particularly easy to Learn how to ASK . At the same time, academics, teachers, and students will find this book does a terrific job of summarizing and enlivening the existing appreciative inquiry/intelligence literature. If you've only got time and money for one book on appreciative organizational approaches, this is the one to get. David Barry, Nova University, Lisbon, Portugal Thatchenkery and Chowdhry have given those of us challenged with global knowledge sharing a way through the muddle of the traditional knowledge management paradigm. Fusing Knowledge Sharing and Appreciative Sharing concepts leads to a true appreciation of the value of knowledge dissemination and away from knowledge hoarding. With new technology migration occurring at warp speed and globalization of product sourcing markets requiring co-location of manufacturing facilities close to the customer, our company relies on state of the art knowledge sharing capabilities to shorten conventional and expensive training methodologies. Positive team collaboration with representation from all international sites and across functional areas in effect, simultaneously managing time, distance, and culture barriers is substantially facilitated by thinking of knowledge sharing in new and appreciative ways. This book helps chart the new path. Hank Jonas, Organization Effectiveness Corning Incorporated The authors of this book advance the Appreciative Sharing of Knowledge (ASK), a unique approach by which organizations create a culture that facilitates the sharing of information. Using social constructionist approaches, historical data, and case studies, the authors demonstrate that appreciation or affirmation is the key ingredient for people to trust each other and overcome their inhibitions and concerns about sharing what they know. The hyper-competitive culture of many organizations has created a knowledge-hoarding climate that many firms struggle to change. The ASK process can reinvent, in a sustainable manner, how we think about organizing knowledge. By linking practices, artifacts, technologies and managerial skills, the ASK model offers a management framework for a wide range of enterprises. One of the basic tenets put forth is that if knowledge is shared appreciatively, managing knowledge will no longer be an issue. The authors expand on the concept of appreciation and illustrate how systems can be created to institutionalize knowledge sharing. In addition, they give examples of organizations that have planted the seeds for the exchange to happen. Academics and practitioners in the fields of knowledge management and organizational behavior and development will find this innovative study of great value. The findings will also be of great practical use for managers and executives in a variety of firms.

As the most comprehensive reference work dealing with knowledge management (KM), this work, consisting of 2 volumes, is essential for the library of every KM practitioner, researcher, and educator. Written by an international array of KM luminaries, its approx. 60 chapters approach knowledge management from a wide variety of perspectives ranging from classic foundations to cutting-edge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic. Novices and experts alike will refer to the authoritative and stimulating content again and again for years to come.