Bibliometric analysis highlights shifts in competitive intelligence practices post-Covid-19, indicating a rise in digital transformation and resilience efforts.
The Covid-19 pandemic has profoundly transformed the competitive intelligence (CI) landscape across various businesses. The research examines the swift trend of competitive intelligence by bibliometric analysis. A total of 356 documents were picked from the Scopus database, covering the years 2020 to 2024, to delineate the domain of competitive intelligence and its research horizons. Findings indicate a substantial shift towards digital transformation, improved data analytics, and an increased focus on agility and resilience in competitive intelligence initiatives. These findings illustrate the dynamic influence of CI and delineate the developmental trends, themes, and patterns for academic practitioners and policymakers, who must adopt these emerging trends to enhance, promote, and sustain CI longevity, operational efficiency, and capability within the swiftly evolving business ecosystem. Prevalent topics encompass digital transformation, agility, resilience, collaboration, networking, ethics, and compliance. Geographically, Asia, North America, and Europe dominate research production in CI during and after Covid-19, although emerging economies exhibit interest. Citation analysis identified prominent authors, providing direction for subsequent research. Nonetheless, research deficiencies and obstacles remain, particularly the necessity for additional empirical investigations, the amalgamation of competitive intelligence with big data, comprehensive competitive intelligence frameworks for small enterprises, innovation, and the Internet of Things (IoT). This bibliometric literature study seeks to analyse and synthesise the fast developments in CI during and subsequent to the COVID-19 pandemic. This study analyses major topics, approaches, and changes in CI practices through the examination of several academic articles. The study offers significant insights and underscores the transformative potential of CI techniques.
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Mashau et al. (2025) studied this question.
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