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Open AccessJournal Article

Harnessing the Power of Knowledge in Higher Education

Gertruida Maria Steyn
- 22 Jun 2004 - 
- Vol. 124, Iss: 4, pp 615
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TLDR
The role of knowledge management in the Improvement of higher education institutions is focused on and a distinction is drawn between data, information, knowledge and learning.
Abstract
Successful organisations are knowledge-creating organisations, which produce, disseminate and embody new knowledge in new products and services. To this end, knowledge management enables organisations to improve efficiency and effectiveness mainly by decoding tacit knowledge into explicit information. This article focuses on the role of knowledge management in the Improvement of higher education institutions. Firstly, a distinction is drawn between data, information, knowledge and learning. Thereafter different models of knowledge management are discussed. The relationship between models of knowledge management, which focus on social construction and the creation and maintenance of a learning organisation is indicated. The importance of an explicit, systematic and comprehensive institutional approach to knowledge management is stressed. This implies an equal emphasis on people, technology and structures. Guidelines are proposed for implementing a knowledge management programme in higher education institutions. Finally, the benefits of knowledge management in higher education during a period of transformation are highlighted. Introduction Today the experiences, skills and abilities of people are coming increasingly under the spotlight and have emerged as the topic of an emerging academic discourse. The latter is aptly named knowledge management (KM) and has become one of the hottest issues in the literature on management. Consequently, the growing awareness of the value of the knowledge embedded in the experiences, skills and abilities of people is emerging as a significant challenge to improving organisations. The management of knowledge in the organisation has to be adopted or adapted by organisations if they are to compete successfully in the twenty first century. Intellectual capital has therefore become one of the prime sources of a knowledge-based and knowledge-enabled organisation. KM accepts that staff members own the tools of development through the knowledge they possess. According to Bryans and Smith (2000, 229), Hicks (2000, 71) and Rossett (1999, 64), this personal knowledge requires transformation into institutional knowledge that can be widely shared throughout the institution and applied appropriately to make it a meaningful developmental tool. For the purpose of this article the following questions are posed: * Is KM a management fad designed to keep consultants and conference organisers employed and to distract organisations from focussing on bottom line results and customer orientation? Or is KM a useful metaphor that supports organisations in the environment at the beginning of the 21st century? * How can KM be implemented in higher education? * Which challenges are faced by higher education who wish to implement KM? Certain key concepts are explained to answer these questions. Data, information, learning and knowledge With the growth in information technology a clear operational distinction can be drawn between data, information, learning and knowledge. Information is viewed as data in context and is currently believed to be captured, stored and transmitted in digital form. Information is not static or distinct but continues through a value-added phase as part of the internal processes by which individuals interpret their meanings of people, objects and events (O' Connell, 1999,33). According to Rowley (2000(b),9), this process is known as learning. Learning leads to knowledge, which is either tacit (embedded in people's minds) or explicit (stated as in formal communication or in documents). Knowledge supports and informs decisions, behaviour and actions. The final stage is the feedback from those actions, which may lead to further information and forms the basis for further learning. For example, the number '13' on its own is data. If a word is added like' 13 learners', it is still data. Once context is added, such as ' 13 learners enrolled compared with 200 last year', the statement becomes information. …

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Citations
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TL;DR: In this paper, the authors examined the factors and barriers that contribute to successful knowledge sharing among the university teaching staff and identified measures of knowledge sharing, such as nature of knowledge, working culture, staff attitudes, motivation to share and opportunities to share.
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Knowledge Management, Human Resource Management, and Higher Education: A Theoretical Model.

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The practice of knowledge management processes: A comparative study of public and private higher education institutions in Malaysia

TL;DR: In this paper, the authors investigate and compare the practices of knowledge management processes between public and private higher education institutions (HEIs) in Malaysia and find that there are significant differences in the overall practices of KM processes between the public and the private HEIs.
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Importance of Knowledge Management in the Higher Educational Institutes

TL;DR: This project is undertaken under Board of University and Colleges, University of Pune for finding importance of KM of past knowledge of an institute and study on data capture, data analysis, data categorization, data mining, data mapping, knowledge mapping, concept mapping, indexing, linking and repackaging of knowledge.
References
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Book

The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation

TL;DR: The Knowledge Creating Company: How Japanese Companies Create the Dynamics of Innovation as mentioned in this paper The Knowledge creating company is a knowledge-creating company that creates the dynamism of the Japanese economy.
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Teaching Smart People How to Learn

TL;DR: In this article, Argyris sheds light on the forces that prevent highly skilled employees from learning from mistakes, and offers suggestions for helping talented employees develop more productive responses when they do fail.
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Teaching Smart People How to Learn

Chris Argyris
TL;DR: In this paper, Argyris sheds light on the forces that prevent highly skilled employees from learning from mistakes, and offers suggestions for helping talented employees develop more productive responses when they do fail.
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The Knowledge-Creating School

TL;DR: In this paper, it is argued that success in meeting this demand will continue to elude us as long as the conventional approaches to educational R&D persist, and that patterns of knowledge creation and dissemination in high technology firms are suggestive of the conditions under which the creation of professional knowledge in education and its rapid dissemination throughout the whole education service might flourish.