Tendencias en la gestión del conocimiento en la era de la inteligencia artificial: Un análisis bibliométrico

Vanessa García-Pineda; Jackeline Valencia-Arias; Luis Fernando Garcés-Giraldo; Luis Vega-Mori; Renata Teodori de la Puente; Orfa Nidia Patiño-Toro; Martha Benjumea-Arias

Tendencias en la gestión del conocimiento en la era de la inteligencia artificial: Un análisis bibliométrico

Translated title of the contribution: Trends in Knowledge Management in the Artificial Intelligence Age: A Bibliometric Analysis

Vanessa García-Pineda
, Jackeline Valencia-Arias
, Luis Fernando Garcés-Giraldo
, Luis Vega-Mori
, Renata Teodori de la Puente
, Orfa Nidia Patiño-Toro
, Martha Benjumea-Arias

Research output: Contribution to journal › Original Article › peer-review

1 Scopus citations

Abstract

At the convergence of artificial intelligence (AI) and knowledge management, this bibliometric study, based on PRISMA-2020, seeks to examine research trends in knowledge management in the AI era. It highlights the importance of this synergy in process optimization and identifies key years such as 2018, 2020 and 2022, signaling growing attention. Researchers such as Holzinger and Jurisica emerge as referents. The thematic evolution, from philosophy of technology to machine learning, reflects the adaptation to emerging trends. Keywords such as “knowledge discovery,” “deep learning,” and “artificial intelligence” highlight dynamic areas of interest. It concludes that this analysis will inform future research and strategic decisions in knowledge management in the age of artificial intelligence.

Translated title of the contribution	Trends in Knowledge Management in the Artificial Intelligence Age: A Bibliometric Analysis
Original language	Spanish
Pages (from-to)	242-254
Number of pages	13
Journal	RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Volume	2024
Issue number	E66
State	Indexed - 2024
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2024, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

Cite this

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title = "Tendencias en la gesti{\'o}n del conocimiento en la era de la inteligencia artificial: Un an{\'a}lisis bibliom{\'e}trico",

abstract = "At the convergence of artificial intelligence (AI) and knowledge management, this bibliometric study, based on PRISMA-2020, seeks to examine research trends in knowledge management in the AI era. It highlights the importance of this synergy in process optimization and identifies key years such as 2018, 2020 and 2022, signaling growing attention. Researchers such as Holzinger and Jurisica emerge as referents. The thematic evolution, from philosophy of technology to machine learning, reflects the adaptation to emerging trends. Keywords such as “knowledge discovery,” “deep learning,” and “artificial intelligence” highlight dynamic areas of interest. It concludes that this analysis will inform future research and strategic decisions in knowledge management in the age of artificial intelligence.",

keywords = "Artificial intelligence, Knowledge management, Machine learning, PRISMA-2020, Process optimization",

author = "Vanessa Garc{\'i}a-Pineda and Jackeline Valencia-Arias and Garc{\'e}s-Giraldo, \{Luis Fernando\} and Luis Vega-Mori and \{de la Puente\}, \{Renata Teodori\} and Pati{\~n}o-Toro, \{Orfa Nidia\} and Martha Benjumea-Arias",

year = "2024",

language = "Espa{\~n}ol",

volume = "2024",

pages = "242--254",

journal = "RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao",

issn = "1646-9895",

publisher = "Associacao Iberica de Sistemas e Tecnologias de Informacao",

number = "E66",

}

Tendencias en la gestión del conocimiento en la era de la inteligencia artificial: Un análisis bibliométrico. / García-Pineda, Vanessa; Valencia-Arias, Jackeline; Garcés-Giraldo, Luis Fernando et al.
In: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, Vol. 2024, No. E66, 2024, p. 242-254.

Research output: Contribution to journal › Original Article › peer-review

TY - JOUR

T1 - Tendencias en la gestión del conocimiento en la era de la inteligencia artificial

T2 - Un análisis bibliométrico

AU - García-Pineda, Vanessa

AU - Valencia-Arias, Jackeline

AU - Garcés-Giraldo, Luis Fernando

AU - Vega-Mori, Luis

AU - de la Puente, Renata Teodori

AU - Patiño-Toro, Orfa Nidia

AU - Benjumea-Arias, Martha

PY - 2024

Y1 - 2024

N2 - At the convergence of artificial intelligence (AI) and knowledge management, this bibliometric study, based on PRISMA-2020, seeks to examine research trends in knowledge management in the AI era. It highlights the importance of this synergy in process optimization and identifies key years such as 2018, 2020 and 2022, signaling growing attention. Researchers such as Holzinger and Jurisica emerge as referents. The thematic evolution, from philosophy of technology to machine learning, reflects the adaptation to emerging trends. Keywords such as “knowledge discovery,” “deep learning,” and “artificial intelligence” highlight dynamic areas of interest. It concludes that this analysis will inform future research and strategic decisions in knowledge management in the age of artificial intelligence.

AB - At the convergence of artificial intelligence (AI) and knowledge management, this bibliometric study, based on PRISMA-2020, seeks to examine research trends in knowledge management in the AI era. It highlights the importance of this synergy in process optimization and identifies key years such as 2018, 2020 and 2022, signaling growing attention. Researchers such as Holzinger and Jurisica emerge as referents. The thematic evolution, from philosophy of technology to machine learning, reflects the adaptation to emerging trends. Keywords such as “knowledge discovery,” “deep learning,” and “artificial intelligence” highlight dynamic areas of interest. It concludes that this analysis will inform future research and strategic decisions in knowledge management in the age of artificial intelligence.

KW - Artificial intelligence

KW - Knowledge management

KW - Machine learning

KW - PRISMA-2020

KW - Process optimization

UR - https://www.scopus.com/pages/publications/85188518317

M3 - Artículo original

AN - SCOPUS:85188518317

SN - 1646-9895

VL - 2024

SP - 242

EP - 254

JO - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

JF - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

IS - E66

ER -

Tendencias en la gestión del conocimiento en la era de la inteligencia artificial: Un análisis bibliométrico

Abstract

Bibliographical note

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Cite this