Page 351 - Crossing Cultural Boundaries - Cees den Teuling
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format. Check with the end users and use their feedback as a positive contribution to the usefulness and continuous improvement.
For beginning to build a KM project in the organisation a step-by-step approach is advisable. Adding logical components after testing and pilot projects successively will gain more credibility and will overcome the deficiencies before the following extension is installed. Technology is getting more complex and sophisticated and should bring the organisation to a new level of performance. Selecting a new IT system or/and extension of the already available is not only a matter of technology. Evaluation of new options also needs the involvement of non-technical disciplines to reach a balanced decision, to be able to select organisation-wide solutions, directed to the future development of the organisation.
The organisation’s position, their basic view on the design of the KM and KT systems, the philosophy behind decreeing the mode in which usable information and/or knowledge is distributed. Several decisive choices, such as the choice for a push or pull approaches or an availability of both, to be decided by the end- user, the implementation of filters in a diversity of gradations, categories and levels, selective distribution of knowledge and the choice for a just-in-time or a just-in-case approach. Anyhow, to avoid that end-users are subject to an overflow of irrelevant twaddle of information, not to be considered as knowledge, ignore the crucial information directed to their task or organisation, become distracted and fan out to search for individual interest items.
Design and develop the infrastructure for KM and KT
Understand and describe the various components of the KM infrastructure. Identify KM sources and feeds to be integrated.
Make a selection of IT components, suitable for design, creation, assemble and application of knowledge.
Make a selection of the interfaces and layers, i.e. server, gateways, platform and the end-users.
Decision on the collaborative platform: web-based or software based?
Identify, understand and select the basic components of the intelligence layer for collaboration: data warehouses, artificial Intelligence, neural networks, expert reasoning systems, generic algorithms, case-based reasoning and rule bases.

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