Abstract
In this paper we present a paradigmatic example of the use in knowledge management of techniques from other fields, namely mathematical analysis. We also highlight that the Jacobi method presented here takes precedence over the better known Hungarian method. Finally, we signify that the Jacobi method represents the first known or recognized case of serendipity in both knowledge management and operational research. This paper thus demonstrates the intersection between knowledge management, mathematical analysis and operational research and how taking historical perspectives are important for recognising future applications of knowledge management. This results in a better understanding of knowledge management and how it can be applied in the future. It has been shown how knowledge management relates to historical mathematical principles.
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With respect to the contributions of each author, Dr. FDP has been in charge, as an Industrial Engineer, of the approach to the problem domain, the coordination of the monographic method of the research carried out and the discussion and application of the results. Professor DL, as an expert in modeling and computer science, was in charge of modeling the solution, the problem-solving method and the feasibility and validation study of the solution presented. Professor JP, an expert in Artificial Intelligence, has been the catalyst for the brain storming and tentative solution planning techniques in the research process. For his part, Professor PS was responsible for reviewing, consolidating and describing in depth the state of the question, the work methodology and its conclusions.
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de la Peña, F.D., Lizcano, D., Pazos, J. et al. The Intersection of Knowledge Management, the Jacobi Method, and Operational Research: A Paradigmatic Example of Serendipity. Found Sci (2024). https://doi.org/10.1007/s10699-024-09942-3
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DOI: https://doi.org/10.1007/s10699-024-09942-3