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Language: search.filters.language.SpanishSubject: search.filters.subject.Intellectual capital

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    Gestión del conocimiento y capital intelectual en una institución educativa parroquial de Lima
    (Universidad de Oriente, 2021-10-12)
    The present investigation was carried out with the objective of designing a knowledge management proposal in a parochial educational institution. The methodology was developed from a socio-critical paradigm, mixed approach and case study method. Results related to human capital were found, specifically: feeling of belonging; specialized training; teamwork and communication and knowledge exchange; Structural capital addressed: work processes, information and communication systems, management systems, technology, and relational capital examined: customer relationship processes, base of allies, collaboration with public administrations. This diagnosis helps to contextualize the state of the educational institution before the knowledge society, as a frame of reference to identify the areas of the organization, its actors and the potentialities for the management of intellectual capital.
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    Prescriptive model for knowledge management in doctoral programs
    (Interciencia Association, 2017)
    The expansion of intellectual capital, fueled by the generation of new knowledge, contributes to an increasing wellbeing of society. However, the gap between Latin American and other countries, due to the smaller quantity of scientific papers published and patents filed, presents a problem that requires urgent attention. The doctoral programs offered by our universities, important knowledge producers in our countries, could increase their intellectual production by using knowledge management (KM), in an analogous way to companies that have adopted it. In that sense, the goal of this research is to simplify the adoption of KM processes, formulating a prescriptive model developed from a theoretical and qualitative analysis of the relevant literature, contrasted in the authors' own discussions, from a perspective based on their combined experience as participants and administrators of doctoral programs. It is expected that the use of KM systems, based on the guidelines of the proposed model, will have a positive impact, implying an increased intellectual production of doctoral programs.
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