Knowledge Management and Organizational Memories (original) (raw)

Towards a Well-Founded Technology for Organizational Memories, AAAI Spring Symposium on Artificial Intelligence in Knowledge Management

1996

An Organizational Memory is an enterprise-internal application-independent information and assistant system. It integrates various techniques and tools to support knowledge management. Motivated by the growing need for enterprise-wide knowledge management we performed several studies and identified the functional requirements for an Organizational Memory. To cope with these we propose a three-layered architecture for representing the knowledge. On this basis, the Organizational Memory shall serve as an intelligent assistant to the user and process both formal and non-formal knowledge elements in a task-oriented way. The concepts described here are the object of ongoing research, but are employed and tested in several application projects which run in parallel.

An organisational memory information system using ontologies

… of the 3rd Conference of the …, 2002

In the recent years, much has been said about ontologies and their applications in different research fields. The ontological discipline emerged from artificial intelligence as a form of knowledge representation that would minimise the problems of knowledge sharing and reuse between people and between software. Apart from the view that portrays an ontology as a syntactic and semantic standardisation of knowledge structures, other approaches apply this discipline as a means to represent informal and semi-formal data structures. This paper presents ontologies as a design approach to represent organisational knowledge and ultimately to create an Organisational Memory Information System. This approach acknowledges the dynamics of the organizational environments, wherein the traditional design of information systems does not cope adequately with these organizational aspects. Knowledge management practices within the organizations, and the role of domain modelling with ontologies are also discussed in this paper.

Corporate Memories for Knowledge Management in Industrial Practice: Prospects and Challenges

Information Technology for Knowledge Management, 1998

A core concept in discussions about technological support for knowledge management is the Corporate Memory. A Corporate or Organizational Memory can be characterized as a comprehensive computer system which captures a company's accumulated know-how and other knowledge assets and makes them available to enhance the e ciency and e ectiveness of knowledge-intensive w ork processes. The successful development of such a system requires a careful analysis of established work practices and available information-technology IT infrastructure. This is essential for providing a cost-e ective solution which will be accepted by the users and can be evolved in the future. The current paper compares and summarizes our experiences from three case studies on Corporate Memories for supporting various aspects in the product life-cycles of three European corporations. Based on the conducted analyses and prototypical implementations, we sketch a general framework for the development methodology, architecture, and technical realization of a Corporate Memory.

Toward a technology for organizational memories

IEEE Intelligent Systems, 1998

THE RECOGNITION THAT KNOWLedge is one of an enterprise's most important assets, decisively influencing its competitiveness, has fueled interest in comprehensive approaches to the basic activities of knowledge management: the identification, acquisition, development, dissemination, use, and preservation of the enterprise's knowledge. Traditionally, enterprises have addressed knowledge management from either a management or a technological point of view. Managers understand that the knowledge their employees possess is one of their company's most valuable assets. They are concerned with the effective use of personal knowledge and the qualitative and quantitative adaptation of this knowledge toward a changing environment. The technological approach, by contrast, deals with questions about what information technology should be provided to support knowledge management. 1 We find that effective knowledge management requires a hybrid solution, one that involves both people and technology. 2 As this article shows, our long-term vision is a corporate or organizational memory at the core of a learning organization, supporting sharing and reuse of individual and corporate knowledge and lessons learned. Arranged around such an OM, intelligent knowledgemanagement services actively provide the user working on a knowledge-intensive operational task with all the information necessary and useful for fulfilling this task (see ).

From Individual Memory To Organizational Memory (Intelligence Of Organizations)

2009

Intensive changes of environment and strong market competition have raised management of information and knowledge to the strategic level of companies. In a knowledge based economy only those organizations are capable of living which have up-to-date, special knowledge and they are able to exploit and develop it. Companies have to know what knowledge they have by taking a survey of organizational knowledge and they have to fix actual and additional knowledge in organizational memory. The question is how to identify, acquire, fix and use knowledge effectively. The paper will show that over and above the tools of information technology supporting acquisition, storage and use of information and organizational learning as well as knowledge coming into being as a result of it, fixing and storage of knowledge in the memory of a company play an important role in the intelligence of organizations and competitiveness of a company.

Knowledge Management in Organizational Planning

Journal of Management Information Systems, 1987

She received her Ph.D. in Business Administration from the University of Arizona with a major in Management Information Systems and a minor in Management. Prior to joining the faculty at the Harvard Business School, Dr. Applegate held a number of administrative positions. In addition, she held previous faculty appointments at the University of Arizona and the University of Washington. She has consulted with a number of companies on a variety of general management issues including the development of information systems product marketing strategies and the design and implementation of integrated information systems. Dr. Applegate's primary research interests and recent publications are concerned with the design, implementation, and management of information systems based on emerging technologies (e.g., knowledge-based systems, group decision support systems, and model management systems) and the design and implementation of executive information systems. TSUNG TENG CHEN is a doctoral student in Management Information Systems at the University of Arizona. His current research interests include the knowledge base management system, knowledge management in integrated development enviroment for information system, and the application of artificial intelligence techniques to information system analysis and design.

A Knowledge Engineering Approach to Supporting Enterprise Knowledge Preservation

2007

In recent years, knowledge-based systems have been applied to various application domains, and have attracted the researchers from various fields. Although several systems were proposed to support decisionmaking activities, few of them took into consideration knowledge elicitation and integration issues that are critical to the preservation and reuse of enterprise knowledge embedded in experienced employees. To cope with these problems, a novel approach to elicit and integrate enterprise knowledge from experienced employees is proposed in this paper. An enterprise knowledge elicitation and integration system based on the novel approach has been implemented, which is capable of eliciting and integrating enterprise knowledge from several experienced employees, and generating fuzzy rules for supporting decision-making.