AI empowers enterprise agility and performance: Research trends and implications for future research

With the rapid development of artificial intelligence (AI), the importance of AI-driven enterprises has become increasingly prominent. This paper selects 32 core documents from the Web of Science database from 2020 to 2025, uses a systematic literature review and scientometric methods to explore the impact of AI on enterprise agility and performance, and analyzes annual publishing trends, key contributions and important journals. The study found that AI is shifting from isolated applications to promoting digital transformation and industrial upgrading. Through keyword, co-author, country and document co-citation analysis, four major research themes were identified: the integration of AI and digital technology, AI empowering enterprise agility and performance, AI-driven project and supply chain management, and the strategic value and sustainability of AI. At the same time, future research directions are pointed out, including AI management challenges, digital transformation roles and performance improvement paths. This study provides a systematic review and research guidance for AI-enabled enterprises.

Authors

Institutions

Publication Details

Journal
Business Information Review
Published
2025-09-29
DOI
https://doi.org/10.1177/02663821251384881
Citations
1
Primary Topic
Collaboration in agile enterprises
Type
article
Field-Weighted Citation Impact
2.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI empowers enterprise agility and performance: Research trends and implications for future research

Jiangwei Luo
1 citations
Business Information Review
Collaboration in agile enterprises
2.76
article

AI empowers enterprise agility and performance: Research trends and implications for future research

Jiangwei Luo
article en
1 citations

Abstract

With the rapid development of artificial intelligence (AI), the importance of AI-driven enterprises has become increasingly prominent. This paper selects 32 core documents from the Web of Science database from 2020 to 2025, uses a systematic literature review and scientometric methods to explore the impact of AI on enterprise agility and performance, and analyzes annual publishing trends, key contributions and important journals. The study found that AI is shifting from isolated applications to promoting digital transformation and industrial upgrading. Through keyword, co-author, country and document co-citation analysis, four major research themes were identified: the integration of AI and digital technology, AI empowering enterprise agility and performance, AI-driven project and supply chain management, and the strategic value and sustainability of AI. At the same time, future research directions are pointed out, including AI management challenges, digital transformation roles and performance improvement paths. This study provides a systematic review and research guidance for AI-enabled enterprises.

Business Information ReviewVol. 42(4)
Universiti Sains Malaysia (MY), Hospital Universiti Sains Malaysia (MY)
Openalex Percentile: Top 8%
Collaboration in agile enterprises
2.76
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.