Scientific journal paper Q1
Artificial intelligence in business: state of the art and future research agenda
Sandra Loureiro (Loureiro, S. M. C.); João Guerreiro (Guerreiro, J.); Iis Tussyadiah (Tussyadiah, I.);
Journal Title
Journal of Business Research
Year (definitive publication)
2021
Language
English
Country
United States of America
More Information
Web of Science®

Times Cited: 178

(Last checked: 2024-11-21 11:41)

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: 5.4
Scopus

Times Cited: 247

(Last checked: 2024-11-20 20:56)

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: 6.7
Google Scholar

Times Cited: 492

(Last checked: 2024-11-22 16:59)

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Abstract
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.
Acknowledgements
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Keywords
Artificial Intelligence,Intelligent agent,Business applications,Text mining,Research agenda,Future trends
  • Economics and Business - Social Sciences
Funding Records
Funding Reference Funding Entity
UIDB/00315/2020 Fundação para a Ciência e a Tecnologia

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