Proceedings of the XXth Conference of Open Innovations Association FRUCT (Nov 2022)
Preliminary Systematization Of Corporate Knowledge Objects For The Use Of Prescriptive Analytics Methods When Creating An Innovative Product By Small And Medium-sized Companies
Abstract
Introduction. The article defines the relevance of work in the field of creating prescriptive analytics when creating an innovative product for small and medium-sized enterprises; presents a comparative analysis of approaches to creating such systems and identifies the features of small and medium-sized enterprises that need to be considered. Approaches and methods. The ontological approach of structuring linguistic objects describing elements of corporate knowledge is used as a methodological basis for the preliminary systematization of corporate knowledge objects. The research is conducted based on an ontological approach. The prospects of using the proposed set of methods for describing competencies are demonstrated. The results of the study. The paper shows that the most effective way to create prescriptive analytics systems designed for use in small and medium-sized innovative enterprises with limited financial resources is to use a set of methods of enriching extensible ontologies combined into a single algorithm that continuously monitors external information sources to identify new market trends. For an adequate response of the company to the newly identified market trends, it is proposed to use the preliminary systematization of corporate knowledge objects using the principles of partitioning based on the concepts of intellectual resources of the enterprise, and as an instrumental basis for the systematization of corporate knowledge objects to use lexical subject ontologies that subdivide corporate knowledge objects into three categories: elements of object knowledge, elements of performing knowledge, elements of interaction knowledge. To conduct the work, it is necessary to use the results of a structural analysis of key business processes of the enterprise, based on the review of the repository of models of key information processes of the company. Discussion and conclusions. The conducted work has shown the possibility of creating a single effective prescriptive analytics methodology for small and medium-sized innovative enterprises based on the interaction of methods of enriching extensible ontologies and the preliminary systematization of corporate knowledge objects proposed in the article. Based on the above conclusions, a conclusion is made about the possibility of continuing work to create a product designed for an integrated system of prescriptive analytics for small and medium-sized companies.
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