The salient feature for the analysis of leadership roles for information professionals is the emergence and more importantly the permanence of KM, Knowledge Management.

<p>The aim of this thesis is to provide a better understanding of how the knowledge creation process can be used to add value to the management of knowledge in a South African organization. This thesis describes, explores and explains how knowledge is created within an organization, how the organization can use it to add value to its current business practices and how a knowledge management methodology that is aligned with the systems thinking principle, can be used to manage the knowledge creation process.</p>

Approved for public release; distribution is unlimited. / In the increasingly dynamic environment of information technology, it has become imperative that organizations continue to seek ways to effectively capture and measure knowledge in order to survive. With the emergence of a global economy and information networks, the knowledge creating capacity within organizations has grown tremendously. As a result, organizations are now shifting their focus to management of the knowledge used in executing processes and producing products. As demand for quality products and services continues to grow, companies must now find ways to effectively manage knowledge intensive processes in order to increase overall process capacity. Through business process reengineering and the KVA methodology, this thesis will seek to identify ways in which the performance of knowledge assets can be measured and make recommendations to improve the capacity of knowledge intensive processes, better enabling organizations to meet increased demand. / Lieutenant, United States Navy / Major, United States Marine Corps

Knowledge management is concerned with the development and exploitation of the knowledge assets of an organisation with a view to furthering the organisations’ objectives. The vital role that knowledge management processes plays in the performance of business organisations has been the basis of several studies - a number of companies, operating in various other industries, have proven the need for, and performance enhancing benefits of, adopting knowledge management processes in one form or the other. Taking these accounts into consideration, this research study attempts to test the hypothesis that effective knowledge management use would constitute a performance enhancing tool in construction project management enterprise in South Africa. The research survey is thus carried out among construction project management professionals in South Africa. The levels of awareness and use of knowledge management systems among construction project management professionals in South Africa is researched into; this revealed a mostly “medium to high” level of awareness and use. The Project Efficiency Review approach to performance measurement is primarily adopted for this study. This showed limited correlation between knowledge management use and enhanced performance in construction project performance. Other performance measurement approaches (Metrics, Economic and Market Value approaches) also showed limited correlation. Two causative factors for this situation are construction project scope changes and schedule delays, which are seemingly pervasive in contemporary South Africa. As such, further research is recommended to establish more appropriate “objective” performance measurement approaches that would be able to accommodate these complexities. This would facilitate the making of a business case for knowledge management use in construction project management.

Maggie Chu Ying-ying. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (leaves 80-89). / Abstracts in English and Chinese. / Chapter Chapter 1 --- Introduction / Chapter 1.1 --- Background --- p.1 / Chapter 1.2 --- Research Objective --- p.4 / Chapter 1.3 --- Outline of This Study --- p.4 / Chapter Chapter 2 --- Backgrounds and Previous Research / Chapter 2.1 --- The Resource-based View and the Environmental Models --- p.5 / Chapter 2.2 --- The Resource-based View and Knowledge --- p.6 / Chapter Chapter 3 --- Conceptualization of KM / Chapter 3.1 --- Knowledge --- p.8 / Chapter 3.2 --- Knowledge Management --- p.11 / Chapter 3.2.1 --- Technological Perspective --- p.11 / Chapter 3.2.2 --- Human Perspective --- p.12 / Chapter 3.2.3 --- Process-oriented Perspective --- p.13 / Chapter 3.2.4 --- Intellectual Capital Perspective --- p.14 / Chapter 3.2.5 --- "Confluence of Definitions and the Components of KM," --- p.15 / Chapter 3.3 --- Components of KM --- p.16 / Chapter 3.3.1 --- Organization Culture --- p.21 / Chapter 3.3.2 --- Structural Capital --- p.22 / Chapter 3.3.3 --- Human Resource --- p.23 / Chapter 3.3.4 --- Social Capital --- p.24 / Chapter 3.3.5 --- Knowledge Acquisition --- p.25 / Chapter 3.3.6 --- Knowledge Dissemination --- p.26 / Chapter 3.3.7 --- Knowledge Application --- p.27 / Chapter Chapter 4 --- Research Methodology / Chapter 4.1 --- Overview --- p.28 / Chapter 4.2 --- Exploratory versus Confirmatory Factor Analysis --- p.28 / Chapter 4.3 --- Item Generation and Content Validity --- p.29 / Chapter 4.4 --- Pilot Study --- p.30 / Chapter 4.5 --- Main Study --- p.34 / Chapter 4.5.1 --- Sample and Data Collection --- p.34 / Chapter 4.5.2 --- Scale Calibration and Validation --- p.41 / Chapter 4.5.2.1 --- Dimensionality Assessment --- p.41 / Chapter 4.5.2.2 --- Reliability Assessment --- p.47 / Chapter 4.5.2.3 --- Validity Assessment --- p.48 / Chapter 4.5.2.3.1 --- "Convergent Validity," --- p.48 / Chapter 4.5.2.3.2 --- Discriminant Validity --- p.52 / Chapter 4.5.2.3.3 --- Nomological Validity --- p.53 / Chapter 4.5.2.3.4 --- "Cross-validation," --- p.56 / Chapter 4.6. --- Comparison across Industries --- p.59 / Chapter 4.6.1 --- Impact of KM on Business Performance --- p.59 / Chapter 4.6.2 --- Level of KM exhibited across Industries --- p.67 / Chapter 4.6.3 --- The Relative Importance of KM Components --- p.69 / Chapter Chapter 5 --- Discussion / Chapter 5.1 --- Academic Contributions --- p.70 / Chapter 5.2 --- Managerial Implications --- p.72 / Chapter 5.3 --- Limitations and Future Research --- p.74 / Appendix / Chapter A. --- Constitutive Definitions and Operative Definitions of each Dimension of KM --- p.76 / Chapter B. --- (a) Items used in Pilot Study --- p.77 / (b) Items of the Final Scales --- p.79 / References --- p.80

Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, June 2003. / Thesis advisor(s): Thomas Housel, Brian Steckler. Includes bibliographical references (p. 91-93). Also available online.

Artificial Intelligence Lab, Department of MIS, University of Arizona / Our research attempted to identify the nature and causes of information management indeterminism in an online research environment and to propose solutions for alleviating this indeterminism. We conducted two empirical studies of information management activities. The first study identified the types and nature of information management indeterminism by evaluating archived texts. The second study focused on four sources of indeterminism: subject area knowledge, classification knowledge, system knowledge, and collaboration knowledge. A knowledge-based design for alleviating indeterminism, which contains a system-generated thesaurus and an inferencing engine, is also proposed in this article.

Knowledge Management is considered important for organizational development, and organizational librarians are seen as capable players in this field. This paper presents the view that special libraries can be places for the knowledge management practices but concludes that the librarians have to move from their passive roles and assume the roles of partners in this environment.

This presentation provides an overview of the creation of the Center for Knowledge Management at The Ohio State Univeirsty.

Artificial Intelligence Lab, Department of MIS, University of Arizona / Law enforcement agencies across the United States have begun to focus on innovative knowledge management technologies to aid in the analysis of criminal information. The use of such technologies can serve as intelligence tools to combat criminal activity by aiding in case investigation or even by predicting criminal activity. Funded by the National Institute of Justice, the University of Arizonaâ s Artificial Intelligence Lab has teamed with the Tucson Police Department (TPD) to develop the Coplink Concept Space application, which serves to uncover relationships between different types of information currently existing in TPDâ s records management system. A small-scale field study involving real law enforcement personnel indicates that the use of Coplink Concept Space can reduce the time spent on the investigative task of linking criminal information as well as provide strong arguments for expanded development of similar knowledge management systems in support of law enforcement.