關於本電子書
Knowledge Management, Organizational Intelligence and Learning, and Complexity is the component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The Theme on Knowledge Management, Organizational Intelligence and Learning, and Complexity in the Encyclopedia of Technology, Information, and Systems Management Resources provides the latest scientific insights into the evolution of complexity in both the natural and social realms. Emerging perspectives from the fields of knowledge management, computer-based simulation and the organizational sciences are presented as tools for understanding and supporting this evolving complexity and the earth's life support systems.
These three volumes are aimed at the following a wide spectrum of audiences from the merely curious to those seeking in-depth knowledge: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.
關於作者
L. Douglas Kiel is Professor of Public Administration and Political Economy at the University of Texas at Dallas. Kiel’s areas of expertise include the managerial and social implications of complexity and quality and productivity improvement. Professor Kiel’s published works in the field of complexity are cited in more than 100 academic journals ranging across fields as diverse as public administration, policy studies, economics, and psychology. His book, Managing Chaos and Complexity in Government: A New Paradigm for Change, Innovation and Organizational Renewal (1994), received the 1994–5 best book award from the Public and Non-Profit Sector division of the Academy of Management. His 1993 Public Administration Review article, “Nonlinear Dynamical Analysis: Assessing Systems Concepts in a Government Agency,” was reprinted in Shafritz and Ott’s edited book, Classics of Organization Theory (1996). He has also edited two books, Chaos Theory in the Social Sciences: Foundations and Applications (University of Michigan, 1996) and Nonlinear Dynamics, Complexity and Public Policy (Nova Science, 2000). He is a co-editor of the Proceedings of the National Academy of Sciences entitled, Adaptive Agents, Intelligence and Emergent Human Organization: Capturing Complexity Through Agent-Based Modeling (2002). He has served as a management consultant to a variety of government and business organizations.
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