This book constitutes the refereed proceedings of the First European Conference on Technology Enhanced Learning, EC-TEL 2006. The book presents 32 revised full papers, 13 revised short papers and 31 poster papers together with 2 keynote talks. Topics addressed include collaborative learning, personalized learning, multimedia content, semantic web, metadata and learning, workplace learning, learning repositories and infrastructures for learning, as well as experience reports, assessment, and case studies, and more.
This book places knowledge, learning and innovation at the heart of cross-sector collaborations. Collaboration for innovation is a topic that has attracted widespread interest from academics, business strategists and government officials. To date the collaborations have focused on the performance management process and more specifically on how to encourage collaboration. However, businesses across the world are realizing that for cross-sector collaboration to be successful, it is necessary for firms to share knowledge and innovation through a process of learning. The book contributes to this by providing fresh insights into ways to stimulate cross-sector collaboration. It presents diverse methods and approaches to unify the dimensions of knowledge, learning and innovation and discusses how collaboration can be created, sustained, and expanded.
This volume offers a simple, systematic guide to creating a knowledge sharing practice in your organization. It shows how to build the enabling environment and develop the skills needed to capture and share knowledge gained from operational experiences to improve performance and scale-up successes. Its recommendations are grounded on the insights gained from the past seven years of collaboration between the World Bank and its clients around the world—ministries and national agencies operating in various sectors—who are working to strengthen their operations through robust knowledge sharing. While informed by the academic literature on knowledge management and organizational learning, this handbook’s operational background and many real-world examples and tips provide a missing, practical foundation for public sector officials in developing countries and for development practitioners. However, though written with a public sector audience in mind, the overall concepts and approaches will also hold true for most organizations in the private sector and the developed world.
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 volume explores the challenge of engaging knowledge management in a sharing economy. In a hyper-competitive business environment, everything tends to be digital, virtual and highly networked, which raises the issue of how knowledge management can support the decision whether or not to share strategic resources or capabilities. The book answers questions such as: to what extent does the sharing economy preserve or compromise the competitive advantage of organizations? And what are the knowledge-management strategies for competitive, yet cautious sharing dynamics?
We recognize knowledge management as a socio-technical phenomenon where the basic social constructs such as person, team, and organization require support from information communication technology applications. In an era of business transition, the effective management of knowledge is proposed as a strategy that effectively utilizes organizational intangible assets. Knowledge Management Strategies: A Handbook of Applied Technologies provides practical guidelines for the implementation of knowledge management strategies through the discussion of specific technologies and taxonomies of knowledge management applications. A critical mass of some of the most sought-after research of our information technology and business world, this book proves an essential addition to every reference library collection.
This book presents the findings, applications, and theoretical underpinnings of a unique leadership communication model: motivating language theory. Drawing from management, social science, and communication theories, motivating language theory demonstrates how leader-to-follower speech improves employee and organizational well-being and drives positive workplace outcomes (such as employee performance, retention, and job satisfaction) in a wide array of settings. It presents an integrated model based on empirical findings and theoretical developments from the past three decades to explore the three dimensions of motivating language: direction giving language, empathetic language, and meaning-making language. It will be a comprehensive source for its empirical relationships, generalizability, theoretical basis, and future directions for research and practice.
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) has become an important business strategy in an era of accelerated globalization, digitalization, and servitization of products and services. Maximizing the use of organizational resources becomes fundamental for continuous growth and prosperity. Organizations of various kinds such as resource-based organizations, product-based organizations, as well as knowledge-intensive service-oriented organizations require specific policies and support services to improve the knowledge management in their respective organizations. Knowledge Management Strategies and Applications focuses on the way organizations can create knowledge, share existing or new knowledge, and disseminate them among the stakeholders, most importantly among the employees, managers, customers, and suppliers. The selected topics are drawn from several fields of studies and give a multidisciplinary outlook. 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.
