Exploring Research Trends Between Artificial Intelligence and Technological Innovation: A Bibliometrics Perspective

Abstract

Future civilizations are increasingly challenged by the impact of modern technological change. The various influences of artificial intelligence technology provide benefits and prospects to human life, products and the environment. This study aims to investigate the research trends through bibliometric analysis can determine the mapping of data from the Scopus database with the keywords “artificial intelligence” and “innovation”. A total of 175 documents were obtained after screening from 2015 to 2025; the data were analyzed and visualized using vosviewer and bibliometrix R-package to generate the thematic maps and collaboration networks. The largest number of publications are from technological forecasting and social change on the topic of artificial intelligence and innovation with quartile 1 (Q1). Based on the results and discussion, the findings of the article data on the keyword artificial intelligence work on 5 large clusters, namely responsible innovation, sustainability, green innovation, business model innovation and machine learning. The visualization of keyword co-occurrence found that the specific keywords innovation is still less related to digital transformation, implementation, business model innovation, journalism, medical imaging, learning, sustainable development, and green technology innovation. From this data it can also be observed that green innovation, digital innovation, computer science, product innovation, ecosystem innovation, ethics, responsible innovation have a long distance with the theme of AI and innovation research. This provides opportunities for future research on this topic by researchers. This fact shows that AI has a great impact on the environment of technological revolution and innovation without marginalizing the well-being of human life through the quality and challenges of education.