Scientometric Analysis of Artificial Intelligence in the Digital Economy

Lv-Xun Lan (), Hao-Ming Huang () and Chunglien Pan ()
Additional contact information
Lv-Xun Lan: Guangdong-Taiwan College of Industry Science & Technology, Dongguan University of Technology
Hao-Ming Huang: Guangdong-Taiwan College of Industry Science & Technology, Dongguan University of Technology
Chunglien Pan: Guangdong-Taiwan College of Industry Science & Technology, Dongguan University of Technology

A chapter in Proceedings of the 2026 4th International Conference on Digital Economy and Management Science (CDEMS 2026), 2026, pp 48-56 from Springer

Abstract: Abstract As the digital economy enters a period of deepening applications, artificial intelligence has become an important tool for reshaping the economic structure. Based on the Web of Science core collection database, this paper conducts a systematic scientiometric analysis of 494 papers in the field of artificial intelligence in the digital economy. By constructing keyword co-occurrence networks and clustering maps, this study reveals the evolution context and frontier hotspots of this field. The results show that: (1) The research hotspots focus on “AI-empowered green ESG”, “labor market reconstruction”, and “data element governance”, indicating that AI research is transforming from a simple technical efficiency orientation to a sustainable development and social governance orientation. (2) The time series map shows that the focus of research has shifted from the early “technical architecture construction” (such as cloud computing and Internet of Things) to the in-depth “scenario-based empowerment” (such as generative AI, metaverse, digital finance). (3) “Interactive AI”, “algorithm compliance,” and “cost optimization and efficiency enhancement” are the most promising research directions at present. This study objectively presents the knowledge structure of AI research in the digital economy, and also provides a scientific basis for understanding the economic externalities of AI technology.

Keywords: artificial intelligence; Internet economy; scientific econometric analysis; Interactive customer service (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6239-699-9_7

Ordering information: This item can be ordered from
http://www.springer.com/9789462396999

DOI: 10.2991/978-94-6239-699-9_7

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().