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Review
. 2023 Dec 29;10(1):e23902.
doi: 10.1016/j.heliyon.2023.e23902. eCollection 2024 Jan 15.

AI and business management: Tracking future research agenda through bibliometric network analysis

Ashok Kumar Patra  1 , Ashyashree Praharaj  1 , Desul Sudarshan  2 , Biswajit Prasad Chhatoi  1
Affiliations
Review

AI and business management: Tracking future research agenda through bibliometric network analysis

Ashok Kumar Patra et al. Heliyon. .

Abstract

This study has been designed to analyse the academic landscape of AI on the Scopus and Web of Science (WOS) indices and compare the findings. AI is one of the most prominent and preferred research areas, only a few studies are dedicated to the bibliometric aspect of it. There is a need to compare studies on AI over different databases to identify the impact and usefulness of those studies in decision-making in business management. To conduct this analysis, the authors have collected data from both Scopus and WOS. 'VOSviewer', 'R-Studio', and 'MS Excel' software have been used for performance analysis and science mapping. This is one of the exceptional studies which perform a comparative analysis between two indices and also identifies funding sponsors for support of research in AI. "Dwivedi, Y.K." is the most productive author and "Huang, Minghui" is the most impactful author. "National Natural Science Foundation of China" is the funding agency which has significantly supported AI research. Technical aspects like "Machine learning", "neural networks", and "blockchain" with 'Sustainability', 'sustainable development', 'accounting', and 'auditing' are trending themes for managerial decision-making.

Keywords: Artificial intelligence; Bibliometric analysis; Managerial decision making; R-Studio; VOSviewer.

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Conflict of interest statement

The authors declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.

Figures

Fig. 1
Fig. 1
Year-wise analysis of documents. Legends: WOS- Web of Science.
Fig. 2
Fig. 2
Year-wise analysis of citation. Legends: WOS- Web of Science.
Fig. 3
Fig. 3
Prominent countries citations (scopus).
Fig. 4
Fig. 4
Prominent countries citations (web of science).
Fig. 5
Fig. 5
Citations of prominent sources (scopus).
Fig. 6
Fig. 6
Citations of prominent sources (web of science).
Fig. 7
Fig. 7
Citations of prominent Affiliation's (scopus).
Fig. 8
Fig. 8
Citations of prominent Affiliation's (web of science).
Fig. 9
Fig. 9
Citations of prominent funding agencies (scopus).
Fig. 10
Fig. 10
Citations of prominent funding agencies (web of science).
Fig. 11
Fig. 11
Cluster analysis of Co-Occurrence with Authors Keywords (Scopus).
Fig. 12
Fig. 12
Cluster analysis of Co-Occurrence with Authors Keywords (Web of Science).
Fig. 13
Fig. 13
Cluster analysis of Co-Occurrence with Authors Keywords (Scopus + Web of Science).
Fig. 14
Fig. 14
Lotka's law.
Fig. 15
Fig. 15
Agenda for future research.
See this image and copyright information in PMC

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