The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Artificial intelligence in business: State of the art and future research agenda
Abstract
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.
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Citations
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Cited by
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Metadata
- Authors
- Loureiro, S. M. C., Guerreiro, J., & Tussyadiah, I.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2021-05
- Volume
- 129
- Pages
- 911-926
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W3100936220
- Cited by
- 554
- References
- 24
- FWCI
- 18.28
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
