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The role of artificial intelligence for management decision: a structured literature review

Articolo
Data di Pubblicazione:
2023
Abstract:
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.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
Artificial intelligence, Management decision, Decision support system, Decision-making, Structured literature review (SLR), Bibliometrix
Elenco autori:
Oppioli, Michele; Sousa, Maria José; Sousa, Miguel; de Nuccio, Elbano
Autori di Ateneo:
OPPIOLI MICHELE
Link alla scheda completa:
https://iris.unito.it/handle/2318/1950252
Pubblicato in:
MANAGEMENT DECISION
Journal
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Settori (6)


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ECONOMIA, AZIENDE E ORGANIZZAZIONI - Finanza Aziendale

ECONOMIA, AZIENDE E ORGANIZZAZIONI - Pianificazione strategica e gestione dei rischi, comunicazione finanziaria, modelli di business e organizzativi

ECONOMIA, AZIENDE E ORGANIZZAZIONI - Sistemi e metodologie per la Qualità
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