Chain-computerisation and theories on knowledge-sharing: Prevent a fallacy of the wrong level and do not step into the pitfall of an unstructured-information overload

Abstract

This article is available in English and DutchChain-computerisation is, as always, still a topical subject and the demand for more insights and tools is steadily increasing. These can be obtained from other areas of research, but caution should be exercised when applying them to social chains. A fallacy of the wrong level is easily made and you can't structure an unstructured-information overload so easily. In my Master’s thesis, I identified aspects that can be used to assess the usability of insights and tools from other theories in the context of large-scale social chains. As far as I know, the only knowledge theory that pays explicit attention to – or is based on – scale is that of Nonaka.The insight that knowledge-sharing is essential for chain co-operation (focused on dealing with the dominant chain problem) emphasizes that the core of chain-computerisation is all about communication and not about simply compiling files. A dominant chain problem ensures the necessary focus and selection with respect to the exchange of information and the knowledge to be shared at the level of the chain as a whole. A standard solution does not often provide the chain communication that is necessary for dealing with a specific dominant chain problem; a chain-specific solution is generally necessary.