KNOWLEDGE MANAGEMENT CHALLENGES IN BRAZILIAN HIGHER EDUCATION INSTITUTIONS AMIDST THE RISE OF ARTIFICIAL INTELLIGENCE

Authors

DOI:

https://doi.org/10.66104/ppt7ep52

Keywords:

knowledge management, artificial intelligence, higher education, academic governance, institutional innovation

Abstract

This study examines knowledge management (KM) challenges in higher education institutions (HEIs) in the context of artificial intelligence (AI), focusing on Brazilian universities. Adopting a qualitative multiple-case study approach (Yin, 2018), data were collected through interviews, documents, and observations. The findings identify four interconnected challenges: technological limitations, human and cultural resistance, ethical and governance dilemmas, and academic integrity concerns. Interpreted through neo-institutional theory (DiMaggio & Powell, 1983; Oliver, 1991) and organizational ambidexterity (Tushman & O’Reilly, 1996), the results reveal tensions between innovation and academic values. The study contributes by conceptualizing AI integration as a socio-technical transformation that requires alignment between infrastructure, governance, human capabilities, and pedagogical practices.

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Author Biographies

  • Thiago Henrique Almino Francisco, UNESC

    Pós-Doutor em Administração (PPGA/UFSC). Doutor, pelo Programa de Pós-Graduação em Engenharia e Gestão do Conhecimento da Universidade Federal de Santa Catarina (EGC/UFSC). Mestre, pelo Programa de Pós-Graduação em Administração Universitária da Universidade Federal de Santa Catarina (PPGAU/UFSC). Tem especializações em Gestão de Pessoas, Marketing e Inteligência Competitiva, Empreendedorismo e Desenvolvimento de Novos Negócios e Gestão de Processos Acadêmicos e Administrativos no Ensino Superior. É Bacharel em Administração com ênfase em Marketing pela Faculdade de Ciências Econômicas da Região Carbonífera. Atualmente é Coordenador do Setor de Avaliação Institucional (SEAI), da Comissão Própria de Avaliação (CPA), e Professor do Departamento de Administração, ambos vinculados a Universidade do Extremo Sul Catarinense (UNESC). Na pós-graduação, é docente do Programa de Pós-Graduação (Mestrado - Doutorado) em Desenvolvimento Socioeconômico da UNESC (PPGDS), em que ministra as disciplinas de Métodos de Pesquisa Interdisciplinar e Teorias Organizacionais. Atua também como docente no Programa de Pós-Graduação (Mestrado Profissional) em Administração Universitária da Universidade Federal de Santa Catarina (PPGAU/UFSC) em que ministra a disciplina de Interfaces Regulatórias no Ensino Superior. Está vinculado como pesquisador ao Instituto de Estudos e Pesquisas em Administração Universitária (INPEAU UFSC) e ao Grupo de Estudos sobre Universidades (GEU - UNESC). Tem experiência, e produtos tecnológicos, em temas relacionado a avaliação e regulação da educação superior e gestão acadêmica, no campo organizacional nas áreas de inovação, gestão estratégica e, de forma transversal, em métodos qualitativos de pesquisa. Desde 2007, desenvolve atividades técnicas e executivas relacionadas com a gestão acadêmica, gestão da avaliação institucional e coordenações de curso, colaborando na formulação de estratégias de gestão dos indicadores provenientes do ENADE e da avaliação institucional. É docente desde 2009 e, a partir e 2014, professor da Universidade do Extremo Sul Catarinense (UNESC) onde, desde 2016, coordena o Setor de Avaliação Institucional (SEAI) e a Comissão Própria de Avaliação (CPA).

  • Giancarlo Moser, UNISUL

    Professor do Programa de Pós-Graduação em Administração da UNISUL - PPGA/UNISUL

  • Jeanderson Domingos Minotto Bombazar, UNESC

    Acadêmico do Programa de Pós-Graduação - Mestrado - em Desenvolvimento Socioeconômico da UNESC

  • Mouhamadou Moustapha Seck, UNESC

    Acadêmico do Programa de Pós-Graduação - Mestrado - em Desenvolvimento Socioeconômico da UNESC - PPGDS/UNESC

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Published

2026-03-27

How to Cite

KNOWLEDGE MANAGEMENT CHALLENGES IN BRAZILIAN HIGHER EDUCATION INSTITUTIONS AMIDST THE RISE OF ARTIFICIAL INTELLIGENCE. (2026). REMUNOM, 13(04), 1-20. https://doi.org/10.66104/ppt7ep52