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Predicting The Influence Of Disruptive Technologies On Financial Performance - A Bibliometric Analysis

Author

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  • Irina HANGANU

    (Stefan cel Mare University of Suceava, Romania)

  • Marian SOCOLIUC

    (Stefan cel Mare University of Suceava, Romania)

  • Mihaela Ionela SOCOLIUC

    (Stefan cel Mare University of Suceava, Romania)

Abstract

Initially viewed with reluctance and distrust, artificial intelligence (AI) and blockchain technology (BCT), these technologies have now managed to capture the interest of entrepreneurs and managers, as they can help businesses grow faster, gain competitive advantage and thus increase financial performance. The paper analyzes current research trends on the influence of AI and BCT on financial performance, identifies relevant authors and countries that have shown increased interest in the influence of AI and BCT on financial performance (FP), and identifies the most researched topics and themes on this topic. Our results reveal an increased research interest in recent years on this topic, from 262 articles published in 2019 to 1,483 in 2024. Countries with the most cited articles were the US, China and the UK. In the period 2020-2024, the results of the bibiliometric analysis demonstrate a growing academic interest in research focused on the influence of AI in the spheres of risk management, business optimization and financial performance. The interest in researching the impact of blockchain technology, has increased in recent years, an aspect demonstrated by the growth of publications focused on this topic. We believe that the paper can be useful both for academia, by revealing the links between research topics and identifying new research niches, but also for management that can analyze the opportunity of adopting these technologies in business.

Suggested Citation

  • Irina HANGANU & Marian SOCOLIUC & Mihaela Ionela SOCOLIUC, 2024. "Predicting The Influence Of Disruptive Technologies On Financial Performance - A Bibliometric Analysis," European Journal of Accounting, Finance & Business, "Stefan cel Mare" University of Suceava, Romania - Faculty of Economics and Public Administration, West University of Timisoara, Romania - Faculty of Economics and Business Administration, vol. 12(2), pages 153-161, February.
    • Handle: RePEc:scm:ejafbu:v:12:y:2024:i:2:p:153-161
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    1. Akter, Shahriar & Hossain, Md Afnan & Sajib, Shahriar & Sultana, Saida & Rahman, Mahfuzur & Vrontis, Demetris & McCarthy, Grace, 2023. "A framework for AI-powered service innovation capability: Review and agenda for future research," Technovation, Elsevier, vol. 125(C).
    2. Donthu, Naveen & Kumar, Satish & Pattnaik, Debidutta, 2020. "Forty-five years of Journal of Business Research: A bibliometric analysis," Journal of Business Research, Elsevier, vol. 109(C), pages 1-14.
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