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Mapping the Landscape of Key Performance and Key Risk Indicators in Business: A Comprehensive Bibliometric Analysis

Author

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  • Ștefan Ionescu

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania)

  • Gabriel Dumitrescu

    (Department of Accounting and Audit, Bucharest University of Economic Studies, 010552 Bucharest, Romania)

  • Corina Ioanăș

    (Department of Accounting and Audit, Bucharest University of Economic Studies, 010552 Bucharest, Romania)

  • Camelia Delcea

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania)

Abstract

Our study investigates the relevance and application of key performance indicators (KPIs) and key risk indicators (KRIs) in business management from 1992 to 2023 through a comprehensive bibliometric analysis performed in RStudio using the Bibliometrix platform and in VOSviewer. Utilizing data from the Web of Science database, we identify trends, key themes, and influential research in this domain, observing an annual growth rate of 17.76%. Our analyses include the top 10 most globally cited documents, word clouds based on authors’ keywords and Keywords Plus, clustering by coupling, co-occurrence networks, and factorial analysis. Our findings reveal a significant increase in research interest post-2004, with sustainability and corporate social responsibility emerging as central themes. We confirm positive correlations between KPIs, improved organizational performance, and effective risk management via KRIs. This research underscores the importance of international collaboration and diverse thematic exploration in advancing the field.

Suggested Citation

  • Ștefan Ionescu & Gabriel Dumitrescu & Corina Ioanăș & Camelia Delcea, 2024. "Mapping the Landscape of Key Performance and Key Risk Indicators in Business: A Comprehensive Bibliometric Analysis," Risks, MDPI, vol. 12(8), pages 1-39, August.
    • Handle: RePEc:gam:jrisks:v:12:y:2024:i:8:p:125-:d:1451165
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    References listed on IDEAS

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    1. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    2. Robert S. Pindyck, 2013. "Climate Change Policy: What Do the Models Tell Us?," Journal of Economic Literature, American Economic Association, vol. 51(3), pages 860-872, September.
    3. NITA, Gabriel & GABUDEANU, Larisa & CERNAEANU, Cosmin Constantin & RAICU, Gabriel Margarit & SCHEAU, Mircea Constantin, 2023. "Artificial Intelligence And Key Risk Indicators In Cyber Frauds Prevention," Journal of Financial and Monetary Economics, Centre of Financial and Monetary Research "Victor Slavescu", vol. 11(1), pages 92-111, October.
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