Artificial Intelligence for Innovation in Business & Engineering

The increasing focus on artificial intelligence (AI) since 2023, especially due to ChatGPT, has left gaps in understanding its application and impact in research and development, as well as innovation management. This article aims to systematically analyze scholarly publications on AI and innovation, addressing questions about AI’s use, benefits, challenges, and best practices in innovation management. Utilizing a systematic literature review methodology, the study analyzes 858 articles from ISI Web of Science, filtered by business economics and engineering fields. Results show a concentration of publications in top journals, with IEEE Access leading. Content analysis highlights AI’s role in various sectors, such as healthcare and aerospace, and its contribution to operational efficiency and sustainability. The study provides insights into AI’s potential, challenges like data privacy, and future research directions focusing on ethical considerations and integration with emerging technologies.

Publication Details

Journal
PROA-UA
Published
2025-03-25
DOI
https://doi.org/10.34624/iciemc.v0i5.39516
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence for Innovation in Business & Engineering

PROA-UA
Artificial Intelligence in Healthcare and Education
article

Artificial Intelligence for Innovation in Business & Engineering

article en

Abstract

The increasing focus on artificial intelligence (AI) since 2023, especially due to ChatGPT, has left gaps in understanding its application and impact in research and development, as well as innovation management. This article aims to systematically analyze scholarly publications on AI and innovation, addressing questions about AI’s use, benefits, challenges, and best practices in innovation management. Utilizing a systematic literature review methodology, the study analyzes 858 articles from ISI Web of Science, filtered by business economics and engineering fields. Results show a concentration of publications in top journals, with IEEE Access leading. Content analysis highlights AI’s role in various sectors, such as healthcare and aerospace, and its contribution to operational efficiency and sustainability. The study provides insights into AI’s potential, challenges like data privacy, and future research directions focusing on ethical considerations and integration with emerging technologies.

PROA-UA
Industry, innovation and infrastructure
Openalex Percentile: Top 63%
Artificial Intelligence in Healthcare and Education
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.