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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Loureiro, S. M. C., Guerreiro, J. & Tussyadiah, I. (2021). Artificial intelligence in business: state of the art and future research agenda. Journal of Business Research. 129, 911-926
Exportar Referência (IEEE) 
S. M. Loureiro et al.,  "Artificial intelligence in business: state of the art and future research agenda", in Journal of Business Research, vol. 129, pp. 911-926, 2021
Exportar BibTeX 
@article{loureiro2021_1734958719974,
	author = "Loureiro, S. M. C. and Guerreiro, J. and Tussyadiah, I.",
	title = "Artificial intelligence in business: state of the art and future research agenda",
	journal = "Journal of Business Research",
	year = "2021",
	volume = "129",
	number = "",
	doi = "10.1016/j.jbusres.2020.11.001",
	pages = "911-926",
	url = "https://www.sciencedirect.com/journal/journal-of-business-research"
}
Exportar RIS 
TY  - JOUR
TI  - Artificial intelligence in business: state of the art and future research agenda
T2  - Journal of Business Research
VL  - 129
AU  - Loureiro, S. M. C.
AU  - Guerreiro, J.
AU  - Tussyadiah, I.
PY  - 2021
SP  - 911-926
SN  - 0148-2963
DO  - 10.1016/j.jbusres.2020.11.001
UR  - https://www.sciencedirect.com/journal/journal-of-business-research
AB  - This study provides an overview of state-of-the-art research on Artificial Intelligence in the business context and proposes an agenda for future research. First, by analyzing 404 relevant articles collected through Web of Science and Scopus, this article presents the evolution of research on AI in business over time, highlighting seminal works in the field, and the leading publication venues. Next, using a text-mining approach based on Latent Dirichlet Allocation, latent topics were extracted from the literature and comprehensively analyzed. The findings reveal 18 topics classified into four main clusters: societal impact of AI, organizational impact of AI, AI systems, and AI methodologies. This study then presents several main developmental trends and the resulting challenges, including robots and automated systems, Internet-of-Things and AI integration, law, and ethics, among others. Finally, a research agenda is proposed to guide the directions of future AI research in business addressing the identified trends and challenges. 
ER  -