The Electronic Journal of Knowledge Management publishes original articles on topics relevant to studying, implementing, measuring and managing knowledge management and intellectual capital.

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Journal Article

A Critical Analysis of Nonakas Model of Knowledge Dynamics  pp193-200

Constantin Bratianu

© Jul 2010 Volume 8 Issue 2, ECIC 2010, Editor: Constantin Bratianu, pp181 - 266

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Abstract

The purpose of this paper is to present a critical analysis of the well known knowledge dynamics model elaborated by Ikujiro Nonaka and his co‑workers. The essence of this model consists of three layers of the knowledge‑creation process: (a) the process o

 

Keywords: explicit knowledge, knowledge conversion, knowledge creation, knowledge dynamics, tacit knowledge

 

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Journal Article

Intellectual Capital Development  pp181-192

Eckhard Ammann

© Jul 2010 Volume 8 Issue 2, ECIC 2010, Editor: Constantin Bratianu, pp181 - 266

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Abstract

An approach for intellectual capital development in an organisation is given. It is based on a new conception of knowledge and knowledge dynamics and raises the notion of knowledge conversions to the level of intellectual capital domains. Intellectual capital development can be modelled with this approach by means of general transformations between domains and between appropriate parts of these domains, which themselves are refined and modelled with general knowledge conversions. To attain this approach, a new conception of knowledge and knowledge dynamics is introduced. The knowledge conception is represented by a knowledge cube, a three‑dimensional model of knowledge with types, kinds and qualities. The type dimension addresses the internal‑external aspect of knowledge, seen from the perspective of the human being. The kind dimension distinguishes various knowledge kinds like propositional or procedural knowledge. Finally, in the quality dimension, several quality measures of knowledge are given. Built on this conception, knowledge dynamics is modelled with the help of general knowledge conversions between knowledge assets. A set of basic knowledge conversions is given in a way, such that more complex general conversions may be easily gained by building on this set. Through this conception, we gain a sound basis for knowledge management and development in an enterprise. Raising this knowledge development approach to the more strategic and resource‑oriented intellectual capital level in an organisation, general transformations between the three main intellectual capital domains (individual competence, internal and external structure) and between parts of them can be described. With their help a model for intellectual capital development is gained: In a top‑down approach, general transformations of intellectual capital are broken down to the notion of general knowledge conversions. This leads to development of the intellectual capital, i.e. to value creation in a company. To indicate the applicability of our approach, an example for the development of customer relations capital is given.

 

Keywords: intellectual capital development, transformations of intellectual capital, intangible resources, value creation, conception of knowledge, knowledge conversions

 

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Journal Article

Applying a Knowledge Conversion Model to Cultural History: Folk Song From Oral Tradition to Digital Transformation  pp61-71

Simon Burnett, Caroline Macafee, Dorothy Williams

© Jun 2017 Volume 15 Issue 2, Editor: John Dumay, pp59 - 144

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Abstract

The purpose of this research project was to test the applicability of the SECI model to a cultural domain within an ethnographic context: the transmission of Scots folk song. Drawing on the archive of the School of Scottish Studies at Edinburgh University, the model was applied to five historical phases defined by changes in the use of media in song acquisition and transmission: oral tradition; externalization in print; dependence on literacy; audio media; and digitization. The findings show that the model offers a valuable analytical framework that can be widely applied in cultural as well as organizational contexts. In addition, the model may be used in a longitudinal analysis to describe non‑static relationships between knowledge processes and changing contexts of media and society over time. In addition, the SECI model also emphasises the critical roles played by the community (or communities) in the transmission process, and the physical and virtual spaces in which those transmissions occur.

 

Keywords: SECI model, digital transformation, folk song, knowledge conversion

 

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Journal Issue

Volume 15 Issue 2 / Jul 2017  pp59‑144

Editor: John Dumay

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Editorial

 

Keywords: SECI model, digital transformation, folk song, knowledge conversion, Knowledge Sharing, Cross-Functional, NPD Teams, New Product Development, Knowledge Management, Information and Communication Technology, Construction Industry, Competitiveness, Learning, dynamic system, local context, MNE subsidiary, knowledge sharing barriers, educational management, educational institutions’ administrative processes, Classification Theory, Metadata, Statistics, Taxonomy

 

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