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    Item type:Publication,
    Research on cybersecurity and business: A bibliometric review (2004-2023)
    (Institute of Applied Business Economics, 2025-03-21)
    Cybersecurity poses a significant risk for companies due to the rise in cyberattacks worldwide, leading to increased uncertainty in security management and putting the sustainability of businesses at risk. Despite some academic contributions, limited bibliometric studies on integrating cybersecurity and business information exist. The research aims to assist academics, policymakers, and decision-makers in cybersecurity management. The authors conducted a bibliometric review using scientific mapping and performance analysis. The study used the Web of Science database and Bibliometrix software to analyze 410 articles and 1,355 authors across nine bibliometric indicators between 2004 and 2023. This article is novel in proposing a bibliometric review of cybersecurity and business, as the other studies addressed specific sectors and do not allow for an integrated view of information on these two topics. The main findings showed an annual growth of 27.63% and an international co-authorship of 31.46%. The United States of America has the highest scientific production, followed by the United Kingdom and China. Business Horizons and IEEE Access are the most influential journals in this field of research. This study can improve the analysis of academics, policymakers, and decision-makers in companies regarding security management. Future studies could propose management models to improve cybersecurity in organizations.
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    Item type:Publication,
    25 years of knowledge and information systems: a bibliometric retrospective
    (Springer Science+Business Media, 2026-12-01)
    In 2025, Knowledge and Information Systems (KAIS) celebrates its 25th anniversary. To mark this occasion, this study presents a comprehensive bibliometric analysis covering the period 1999–2024, examining publication and citation patterns, influential authors, institutions, countries, and evolving research themes. Drawing on data from the Web of Science (WoS) Core Collection, the analysis integrates classical bibliometric indicators with science mapping techniques, including co-citation, bibliographic coupling, and keyword co-occurrence, supported by VOSviewer and Bibliometrix tools. The findings reveal that KAIS has published 2,385 articles, which have collectively received 54,319 citations, demonstrating sustained global influence. The journal's intellectual core remains grounded in data mining, classification, clustering, and machine learning, while emerging themes—such as deep learning, graph neural networks, natural language processing, and concept drift—reflect its adaptation to contemporary developments in artificial intelligence. China and the United States lead in both productivity and impact, illustrating the globalization of the KAIS research community. This study offers insights into the evolution of knowledge and information systems as an interdisciplinary field, emphasizing KAIS's dual role in preserving methodological rigor and promoting innovation. Overall, the journal stands as a benchmark for studying the dynamics of data-driven, intelligent, and responsible knowledge discovery.
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