2 research outputs found

    KNOWLEDGE MANAGEMENT IN ARTIFICIAL INTELLIGENCE BASED AUTOMATED E-MATERIAL FORMATTING TOOL

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    Knowledge is a critical resource for scientific, academical and technological development. In a time of fast development and growth of a massive amount of information and big data, knowledge management (KM) has a crucial role in creating knowledge from data and information. Knowledge management discipline increases its popularity among other fast-developing disciplines as Artificial Intelligence (AI). It is important to understand how fields of science and technological research and development and knowledge management integrate into each other, cooperate, and support each other. Likewise, understanding theoretical bases in the practical use of knowledge management are crucial for learning and development use. The theoretical part of the publication shortly represents knowledge management theoretical basis. It is followed by a description of the case - artificial intelligence based automated e-material formatting tool development and research accompanying the development of the tool. The result part of the publication systematically represents knowledge management aspects in the case study. There are included knowledge management aspects as components of knowledge management definition, types, theories, approaches and methods in the case study. Thereby, the publication shows the cooperation of disciplines through the scope of the case study and could be used as a sample in the study process to understand and show knowledge management and knowledge management aspects in the research and development process

    O impacto da inteligência artificial no negócio eletrónico

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    Pela importância que a Inteligência Artificial exibe na atualidade, revela-se de grande interesse verificar até que ponto ela está a transformar o Negócio Eletrónico. Para esse efeito, delineou-se uma revisão sistemática com o objetivo de avaliar os impactos da proliferação destes instrumentos. A investigação empreendida pretendeu identificar artigos científicos que, através de pesquisas realizadas a Fontes de Dados Eletrónicas, pudessem responder às questões de investigação implementadas: a) que tipo de soluções, baseadas na Inteligência Artificial (IA), têm sido usadas para melhorar o Negócio Eletrónico (NE); b) em que domínios do NE a IA foi aplicada; c) qual a taxa de sucesso ou fracasso do projeto. Simultaneamente, tiveram de respeitar critérios de seleção, nomeadamente, estar escritos em inglês, encontrarem-se no intervalo temporal 2015/2021 e tratar-se de estudos empíricos, suportados em dados reais. Após uma avaliação de qualidade final, procedeu-se à extração dos dados pertinentes para a investigação, para formulários criados em MS Excel. Estes dados estiveram na base da análise quantitativa e qualitativa que evidenciaram as descobertas feitas e sobre os quais se procedeu, posteriormente, à sua discussão. A dissertação termina com as conclusão e discussão de trabalhos futuros.Due to the importance that Artificial Intelligence exhibits today, it is of great interest to see to what extent it is transforming the Electronic Business. To this end, a systematic review was designed to evaluate the impacts of the proliferation of these instruments. The research aimed to identify scientific articles that, through research carried out on Electronic Data Sources, could answer the research questions implemented: a) what kind of solutions, based on Artificial Intelligence, have been used to improve the Electronic Business; b) in which areas of the Electronic Business Artificial Intelligence has been applied; c) what the success rate or failure of the project is. At the same time, they must comply with selection criteria, to be written in English, to be found in the 2015/2021-time interval and to be empirical studies supported by actual data. After a final quality evaluation, the relevant data for the investigation were extracted for forms created in MS Excel. These data were the basis of the quantitative and qualitative analysis that evidenced the findings found and on which they were subsequently discussed. The dissertation ends with the conclusion and discussion of future works
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