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Export Reference (APA) 
Oppioli, M., Sousa, M. J., Sousa, M. & de Nuccio, E (2025). The role of artificial intelligence for management decision: A structured literature review. Management Decision. 63 (10), 3262-3280
Export Reference (IEEE) 
M. Oppioli et al.,  "The role of artificial intelligence for management decision: A structured literature review", in Management Decision, vol. 63, no. 10, pp. 3262-3280, 2025
Export BibTeX 
@article{oppioli2025_1773211769096,
	author = "Oppioli, M. and Sousa, M. J. and Sousa, M. and de Nuccio, E",
	title = "The role of artificial intelligence for management decision: A structured literature review",
	journal = "Management Decision",
	year = "2025",
	volume = "63",
	number = "10",
	doi = "10.1108/MD-08-2023-1331",
	pages = "3262-3280",
	url = "https://www.emerald.com/md"
}
Export RIS 
TY  - JOUR
TI  - The role of artificial intelligence for management decision: A structured literature review
T2  - Management Decision
VL  - 63
IS  - 10
AU  - Oppioli, M.
AU  - Sousa, M. J.
AU  - Sousa, M.
AU  - de Nuccio, E
PY  - 2025
SP  - 3262-3280
SN  - 0025-1747
DO  - 10.1108/MD-08-2023-1331
UR  - https://www.emerald.com/md
AB  - Purpose
The topic of artificial intelligence (AI) has been expanding rapidly in recent years, gaining the attention of academics and practitioners. This study provides a structured literature review (SLR) on AI and management decisions (MDs) by analysing the scientific output and defining new research topics.
Design/methodology/approach
The study uses a rigorous methodological approach to summarise the state of the art of the past literature. The authors used Scopus as the database for data collection and utilised the Bibliometrix R package. In total, 204 peer-reviewed English articles were collected and analysed.
Findings
The results showed that literature in this field is emerging. Studies are focused on using AI as forecasting and classification for management decision-making, AI as a tool to improve knowledge management in organisations and extract information. The cluster analysis revealed the presence of five thematic clusters of studies on the topic.
Originality/value
The study’s originality lies in providing a new perspective on AI for MDs. In particular, the analysis reveals a new classification of research streams and provides fruitful research questions to continue research on the topic.
ER  -