An internally developed knowledge transfer methodology ensures at Credit Suisse that irreplaceable know-how (implicit and explicit) remains within the firm – even when keypersons leave, e.g. retirement, internal job mobility, extended absence or general leaving. The methodology tested in theory and in praxis was developed by supporting over 70 keypersons and became part of the organisation in 2008. By covering general aspects of knowledge transfer as well as enhancing the human capital development in the business, the methodology provides a basis for organisational development: Due to transparent tasks and functions efficient and sustainable changes are possible.

Small-world networks represent a decentralised network topology in which several actors are strongly connected with each other. A high clustering coefficient and a high number of short paths within a social network characterise such a network. Particularly in the context of inter-organisational knowledge transfer among R&D organisations, the structure of small-world networks appears significant for effective knowledge transfer. This paper reports on an investigation into the nature of inter-organisational knowledge transfer among R&D organisations. The topology of a social network is explored using UCINET social network analysis software. From these findings, implications are drawn for ICT support at an interorganisational level.

Authors: Bernhard Mayr and Rainer Born

Abstract: This paper introduces the LIR-Schema, a framework to model knowledge flows
within a company based on model-theory. Competence management is integrated in this
framework as a tool for modelling the contexts of sender and receiver of expertise. The main
target of this framework is to reduce the knowledge gap between experts and laymen within the
company.

Keywords: Competence-management, transfer of expertise, knowledge-transfer, LIR-Schema

Categories: M.4

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Authors: Malinka Ivanova

Abstract: In the paper the new possibilities of eLearning 2.0 management systems for
knowledge production, experience sharing and communication are presented. The Web 2.0
effects and mechanisms for knowledge capturing and construction are discussed. Reviews of
seven new generation learning systems are done with aim one of them to be selected for
knowledge building and competence development during the university education as well as
after degree receiving. The analysis of eLearning 2.0 management systems is performed in
context of the IEEE LTSA (Learning Technology Systems Architecture) component
architecture.

Keywords: eLearning 2.0, LMS, LCMS, knowledge transfer, competence development, IEEE
LTSA, analysis

Categories: H.0, H.5.3, H.5.4, J.0, J.4, M.4

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Authors: Inga Beleviciute

Abstract: There are many technologies calling themselves knowledge management systems in
the market but most of them deal only with information management. The main difference
between them is that knowledge management systems are oriented into people and participated
in tacit knowledge capturing. The paper describes set of information technologies which could
take part in all process of knowledge management and especially in collecting tacit knowledge.

Keywords: Knowledge management technologies, knowledge creation, knowledge transfer,
knowledge applying, knowledge store, retrieval

Categories: H.1, H.3, H.4.2, H.4.3, H.5.1

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Authors: Birgit Zimmermann, Christoph Rensing, Ralf Steinmetz

Abstract: Adapting E-Learning material allows re-using existing material even in changed
usage scenarios. But this adaptation is a complex task. To achieve a perfect result expert
knowledge is needed. Often adaptations have to be performed by persons who are not experts
in performing these tasks. To enable those persons to achieve a satisfying result they need to be
supported. Patterns are one possibility to make expert knowledge on certain tasks available to
other persons. In this paper an approach is presented how expert knowledge of performing
adaptations of existing E-Learning material can be collected and made available with patterns.
This approach can also be used to collect knowledge of other processes, e.g. in companies.

Keywords: Knowledge Transfer, Patterns, Adaptation, Re-Purposing, Re-Use

Categories: D.2.10, D.2.13

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