This paper discusses the issues of classification, evaluation and cartography of organizational knowledge in the medical field. Its aim is to propose an Organizational Know-How/Knowing That Decision Support System (O2K-DSS) which can be applied to practical decision situations. O2K-DSS aims to propose a preference model based on multi-criteria decision support tools which allow the selection, the classification and the sorting of decision objects like know-how/knowing that in our case. Our goal is to propose a new category of decision class for ‘likely crucial know-how’/‘likely crucial knowing that’ which represents the subset of knowledge insufficient for knowledge capitalisation at time t. In fact, we classify know-how/knowing that into three decision classes: (1) the first class Cl1 for ‘non crucial know-how’/‘non crucial knowing that’ which represents the subset of knowledge whose level of validation is sufficient for not capitalising it, (2) the second class Cl2 for ‘likely crucial know-how’/‘likely crucial knowing that’ which represents the subset of knowledge whose level of validation is insufficient for capitalising it at time t and (3) the third class Cl3 for ‘crucial know-how’/‘crucial knowing that’ which represents the subset of knowledge whose level of validation is sufficient for capitalising it. These knowledge decision class categories are represented in cartography.
CITATION STYLE
Ghrab, S., Saad, I., Gargouri, F., & Kassel, G. (2014). A decision support system for identifying and representing likely crucial organizational know-how and knowing that. Journal of Decision Systems, 23(3), 266–284. https://doi.org/10.1080/12460125.2014.886500
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