A BIBLIOMETRIC ANALYSIS OF INCORPARATING AI INTO ENTERPRISES MANAGEMENT SYSTEMS

The growing importance of artificial intelligence at all sector levels it is demonstrated both by researchers and daily life. The transformational impact of AI is accelerating the continuous change of today’s society, having effects on multiple sectors, including human beliefs. This paper is a bibliometric examination of incorporating AI into enterprises management systems. To evaluate the implications of the academic papers, it was used the Web of Science Database for the keywords “AI” OR “artificial intelligence” AND “enterprises management systems*” for the years 20222024. This bibliometric research is focused on evolution of research over time, geographical spread, co-autorship and journal map, most cited scientific articles, affiliation, categories, keyword analysis, between others.

Authors

Publication Details

Journal
Proccedings of the International Management Conference
Published
2025-03-27
DOI
https://doi.org/10.24818/imc/2024/03.05
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A BIBLIOMETRIC ANALYSIS OF INCORPARATING AI INTO ENTERPRISES MANAGEMENT SYSTEMS

Mădălina MAZĂRE
Proccedings of the International Management Conference
Big Data and Business Intelligence
article

A BIBLIOMETRIC ANALYSIS OF INCORPARATING AI INTO ENTERPRISES MANAGEMENT SYSTEMS

Mădălina MAZĂRE
article en

Abstract

The growing importance of artificial intelligence at all sector levels it is demonstrated both by researchers and daily life. The transformational impact of AI is accelerating the continuous change of today’s society, having effects on multiple sectors, including human beliefs. This paper is a bibliometric examination of incorporating AI into enterprises management systems. To evaluate the implications of the academic papers, it was used the Web of Science Database for the keywords “AI” OR “artificial intelligence” AND “enterprises management systems*” for the years 20222024. This bibliometric research is focused on evolution of research over time, geographical spread, co-autorship and journal map, most cited scientific articles, affiliation, categories, keyword analysis, between others.

Proccedings of the International Management Conference
Openalex Percentile: Top 71%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.