The relationship between knowledge management and artificial intelligence: A thematic analysis from Scopus

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Publicado en:Iberoamerican Journal of Science Measurement and Communication vol. 5, no. 1 (2025), p. 1
Autor principal: Girón, Daniel Cristóbal Andrade
Otros Autores: Yovera, Santiago Ernesto Ramos, de Salinas, Flor de María Garivay Torres, Soto, Félix Gil Caro, Cadenas, Dalila Irene Villanueva
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Iberoamerican Journal of Science Measurement and Communication
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022 |a 2709-7595 
022 |a 2709-3158 
024 7 |a 10.47909/ijsmc.1713  |2 doi 
035 |a 3199837566 
045 2 |b d20250101  |b d20250430 
100 1 |a Girón, Daniel Cristóbal Andrade  |u Universidad Nacional José Faustino Sánchez Carrión, Peru 
245 1 |a The relationship between knowledge management and artificial intelligence: A thematic analysis from Scopus 
260 |b Iberoamerican Journal of Science Measurement and Communication  |c 2025 
513 |a Journal Article 
520 3 |a Objective. This study examined the scientific literature addressing the relationship between artificial intelligence (Al) and knowledge management (KM) to identify the main issues around this binomial. Design/Methodology/Approach. We used co-word analysis as our bibliometric technique. We only worked with each article's keyword and keyword plus variable. Each cluster within the map was assigned a generic name according to the theme it represented. We also conducted some analysis based on the degree of centrality of keywords per cluster. We also performed qualitative analyses of each cluster's terms and word relationships. Results/Discussion. The co-occurrence map of terms revealed nine clusters related to the relationship between KM and Al: (1) main and central themes, (2) innovation and system design, (3) knowledge representation and learning, (4) theoretical models and information management, (5) collaborative networks and dynamics, (6) natural language processing, (7) ethics and governance, (8) visualization and knowledge representation, and (9) emerging and specialized areas. Conclusions. This study contributes to closing a gap in the literature by demonstrating that integrating Al and KM is a key alliance to meet the challenges of the knowledge society. Al strengthens conventional KM processes and opens new opportunities to create organizational and societal value. However, implementing Al requires a balanced approach that combines technological innovation with ethical and human considerations. 
653 |a Big Data 
653 |a Machine learning 
653 |a Collaboration 
653 |a Bibliometrics 
653 |a Artificial intelligence 
653 |a Boolean 
653 |a Tacit knowledge 
653 |a Knowledge sharing 
653 |a Decision making 
653 |a Knowledge management 
653 |a Knowledge acquisition 
653 |a Intellectual capital 
653 |a Data processing 
653 |a Explicit knowledge 
653 |a Natural language processing 
653 |a Algorithms 
653 |a Keywords 
653 |a Software engineering 
653 |a Knowledge representation 
653 |a Information management 
700 1 |a Yovera, Santiago Ernesto Ramos  |u Universidad Nacional José Faustino Sánchez Carrión, Peru 
700 1 |a de Salinas, Flor de María Garivay Torres  |u Universidad Nacional José Faustino Sánchez Carrión, Peru 
700 1 |a Soto, Félix Gil Caro  |u Universidad Nacional José Faustino Sánchez Carrión, Peru 
700 1 |a Cadenas, Dalila Irene Villanueva  |u Universidad Nacional José Faustino Sánchez Carrión, Peru 
773 0 |t Iberoamerican Journal of Science Measurement and Communication  |g vol. 5, no. 1 (2025), p. 1 
786 0 |d ProQuest  |t Publicly Available Content Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3199837566/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3199837566/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3199837566/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch