Toward a technology for organizational memories (original) (raw)
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Methodological and Technological Framework Proposal to Capitalize Organizational Knowledge
Society is becoming a great source of knowledge and innovation, the synergy of all the ideas that are coming from all the countries across the world is fostering the rise of a new kind of society where knowledge plays an important role, nevertheless today’s society needs a global strategy to improve knowledge management in order to ensure its accessibility. This paper introduces a global strategy supported on the one hand, by a methodological framework that proposes a transactive memory system to allow encoding, storing, and retrieving knowledge collectively in a smart manner, on the other hand, it is supported by a technological framework based on Web 2.0 technologies aimed to implement the methods and strategies defined in the transactive memory system. Moreover, this global strategy must ensure the maturity of the generated knowledge in order to foster innovation; also knowledge use must be tracked and measured in order to allow knowledge to become intellectual capital,whichis one of the most valuable assets of current society.
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.
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.
Towards a Well-Founded Technology For Organizational Memories
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 manage- ment we performed several studies and identified the functional requirements for an Organizational Mem- ory. To cope with these we propose a three-layered architecture for representing the knowledge. On this basis, the Organizational Memory shall serve as an in- telligent 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 on- going research, but are employed and tested in several application projects which run in parallel.
Knowledge Management revisited: needn't you represent what you want to manage?
Knowledge Management is a discipline that investigates how to consolidate and augment individuals' expertise and know-how and how to make them part of a corporate knowledge asset. We believe that this goal can not be achieved without defining a structured representation of the enterprise knowledge asset, that should act as the explicit context inside which each individual matches and augments his own individual knowledge. Such representation is what, in the Artificial Intelligence community, has been called Knowledge Base. In this paper we compare the definitions of knowledge given in the Knowledge Management and Artificial Intelligence community and present one of the main agreed principles beyond Knowledge Management: how corporate knowledge flows and is augmented in a cyclic process, called "knowledge cycle". We then describe our view and our experiences about how the different sub-processes of the knowledge cycle can be made concrete by means of Information Technol...
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.
Opportunities of Harnessing Organizational Knowledge
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In order for an organization to harness the most out of its knowledge fluxes, informational stocks and data bases it must focus its interest specifically in those areas. Within this paper we point out the idea that understanding knowledge types and knowledge processes may lead to great performance opportunities for the employees and for the organization. We started our debate through emphasizing the role and importance of knowledge both as a historical concept and as a modern tool for practice. Many discussions about knowledge start from their place in a certain hierarchy and continue by emphasizing in turn each of the following levels. We brought to attention some arguments in order to explain how organizations may transform gradually their databases and information stocks into competitive knowledge. Organizational knowledge has different perspectives, forms and meanings depending very much on the context. Understanding the knowledge hierarchy makes it possible to be more effective...
Knowledge Management: Present Preview
TULSSAA Journal, 2007
Knowledge management is a new concept in Library and Information science. Knowledge is considered as a rich asset these days. The dictionary defines knowledge as the facts, feelings or experiences known by a person or a group of people. Knowledge Management as a new branch of management for achieving breakthrough in business performance through the synergy of people, processes, and technology, its focus is on the management of change, uncertainty, and complexity. K. Navalani said "Knowledge Management caters to the critical issues of organizational adaptation, survival, and competence in face of increasingly discontinuous environmental change.... Essentially, it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings." Information can be considered as a message. It typically has a sender and a receiver. Information is the sort of stuff that can, at least potentially, be saved onto a computer. Data is a type of information that is structured, but has not been interpreted. Knowledge might be described as information that has a use or purpose. Whereas information can be placed onto a computer, knowledge exists in the heads of people. Knowledge is information to which an intent has been attached. In the eighteenth century Dr.Samuel Johnson (1709-84) wrote 'Knowledge is of two kinds. We know a subject ourselves or we know where we can find information upon it'. In the new millennium, however, it is apparent knowledge management is emerging as a dominant force in the overall strategy of organizational management. In July 1999 Tony Blair, the British Prime Minister said, "The knowledge economy is the economy of the future". In knowledge economies, knowledge, expertise and innovation rather than land and machinery are the primary assets of an organization. Such assets must be effectively managed. Knowledge Management caters to the critical issues of organizational adaptation, survival, and competence in face of increasingly discontinuous environmental change. Essentially, it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings. Clearly the goal of knowledge management has sustained individual and business performance through ongoing learning, unlearning, and adaptation. Technologies of computing have inherent limitations. They have difficulty in generating meaningful insights from data as they can't question or re-interpret their programmed logic and assumptions. Given inherent limitations of the technologies of computing, human users of such systems have at least an equally important role in knowledge management. Knowledge management is a part of the continuous business improvement process. It relates to the way an organization works and develops. It recognizes corporate capability and enables skills, knowledge and processes of the organization to be used effectively and creatively to improve business performance. It is more useful to consider
Knowledge Management and Organizational Memories
2002
The indiGo project aims at improving process knowledge by successive consolidation of feedback, ranging from private annotation, through structured communication in communities of practice, to improved process models and lessons learned. It develops a methodology and integrates previously independent software for process modeling, moderated discourses, experience management and text mining. Both will be evaluated in case studies. CoIN-IQ Zeno Integrator indiGo Core Documents Based on standard internet technology indiGo is a truly distributed system. While Zeno is hosted on a web server at Fraunhofer AiS in Sankt Augustin, Germany, the CoIN system family is located at and maintained by Fraunhofer IESE in Kaiserslautern, Germany.