About: Organizational intelligence is a research topic. Over the lifetime, 414 publications have been published within this topic receiving 8247 citations.
TL;DR: The Knowledge Evolution as discussed by the authors is an approach to knowledge management that is simple enough to communicate at every level of the organization, yet rich enough to encompass all the complexity of modern enterprises.
Abstract: The Knowledge Evolution offers a unique and powerful road map for understanding knowledge creation, learning, and performance in everyday work. This book reframes current thinking by delving into the hidden world of knowledge supporting both individual and organizational performance, laying the foundation for the emerging art of knowledge management. Packed with best practices from leading edge companies, essential guidelines, design principles, analogies, and conceptual frameworks, it serves as a practical guidebook for mastering the Knowledge Era. It will help managers make more intelligent decisions about knowledge creation, reduce wasteful technology investments and lead to new ease and confidence in applying knowledge and learning principles for themselves and for their organizations. Verna Allee delves into current thinking and practice to unravel the genetic code of knowledge itself. This revolutionary approach has surfaced a simple and elegant knowledge archetype. She demonstrates how this archetype can help us deal with complexity and suggests ways of self-organizing that make profound sense in today's networked enterprises. From strategies for core knowledge competencies to the key components of individual expertise, The Knowledge Evolution zeroes in on the critical success factors for the knowledge-based enterprise. What emerges is an approach to knowledge management that is simple enough to communicate at every level of the organization, yet rich enough to encompass all the complexity of modern enterprises.Verna Allee is the founder of Integral Performance Group, a consulting practice in California that specializes in the learning organization, knowledge competencies, organizational systems change, systems thinking, total quality and learning, benchmarking support, best practices research, and strategic development. She holds a degree in the Study of Human Consciousness and her work is informed by a deep interest in intelligence, human development, cognition, intuition and consciousness. She is the author of Learning Links: Enhancing Individual and Team Performance, Pfeiffer and Co-Jossey Bass, 1996.
TL;DR: In this paper, the authors discuss the role of Conceptual and Material Artifacts in knowledge creation and the dynamic nature of networked knowledge sharing in the context of knowledge acquisition and knowledge sharing.
Abstract: Introduction. Part I. The Knowledge-Acquisition Perspective. Expert Knowledge as the Basis of Human Competence. Dynamic Development of Expertise. Organizational Support for Dynamic Development of Expertise. Part II. The Participation Perspective. Participation in Communities of Expertise. Networks of Knowledge Sharing. Facilitating Organizational Intelligence through Knowledge Management. Part III. The Knowledge-Creation Perspective. Models of Innovative Knowledge Communities. Role of Conceptual and Material Artifacts in Knowledge Creation. The Dynamic Nature of Innovative Knowledge Communities. Individual and Social Aspects of Knowledge Creation. Part IV. Educating for Networked Expertise. Acquisition Perspective: Developing Basic Knowledge and Competencies for Expertise. Participation Perspective: Organizing Networking Relations Between Learners and Expert Communities. Knowledge-Creation Perspective: Facilitating Progressive Inquiry in Education. Concluding Remarks: Relational Nature of Networked Expertise.
TL;DR: A systems view of the organizational preconditions to technological accidents and disasters, and in particular the seminal “Man-made Disasters model” proposed by the late Professor Barry Turner is presented.
TL;DR: In this article, the authors present an overview of the evolution of the theory of organizational learning and its application in the field of political science, including the myopia of learning and the focus of attention of a learning team.
Abstract: 1. Introduction. 2. Understanding How Decisions Happen in Organizations. 3. Continuity and Change in Theories of Organizational Action. 4. Institutional Perspectives on Political Institutions (with Johan P. Olsen). 5. Organizational Learning (with Barbara Levitt). 6. The Evolution of Evolution. 7. Exploration and Exploitation in Organizational Learning. 8. Learning from Samples of One or Fewer (with Lee S. Sproull, and Michal Tamuz). 9. Adaptive Co--ordination of a Learning Team (with Pertti H. Lounamma). 10. The Future, Disposable Organizations, and the Rigidities of Imagination. 11. The Myopia of Learning (with Daniel A. Levinthal). 12. Wild Ideas: The Catechism of Heresy. 13. Variable Risk Preferences and Adaptive Aspirations. 14. Variable Risk Preferences and the Focus of Attention (with Zur Shapira). 15. Learning to Be Risk Averse. 16. Model Bias in Social Action. 17. Organizational Consultants and Organizational Research. 18. Organizational Performance as a Dependent Variable (with Robert I. Sutton). 19. Science, Politics, and Mrs. Gruenberg. 20. Education and the Pursuit of Optimism. 21. A Scholara s Quest.
TL;DR: This paper illustrates learning failure in systems development and recommends tactics for overcoming it.
Abstract: Information systems development is a high-risk undertaking, and fail- ures remain common despite advances in development tools and technologies. In this paper, we argue that one reason for this is the collapse of organizational intelligence required to deal with the complexities of systems development. Orga- nizations fail to learn from their experience in systems development because of limits of organizational intelligence, disincentives for learning, organizational designs and educational barriers. Not only have many organizations failed to learn, but they have also learned to fail. Over time they accept and expect poor perfor- mance while creating organizational myths that perpetuate short-term optimization. This paper illustrates learning failure in systems development and recommends tactics for overcoming it.