Digital Ecosystem and Business Transformation: Bibliometric Analysis of Global Startups
DOI:
https://doi.org/10.58812/sdi.v1i04.2460Keywords:
Digital Transformation, Startup Ecosystems, Artificial Intelligence, Business Model Innovation , Global StartupsAbstract
This study conducts a comprehensive bibliometric analysis to map the global scientific landscape of digital ecosystems and business transformation in startup environments. Using Scopus-indexed publications and VOSviewer-based visualization, the analysis identifies influential literature, thematic clusters, co-authorship patterns, and country-level collaboration networks. The findings reveal four dominant intellectual pillars: digital transformation as strategic renewal, AI-enabled business model innovation, ecosystem-based capability development, and entrepreneurial resilience during crises. Network and density visualizations highlight “digital transformation” as the conceptual core, surrounded by interconnected themes including ecosystems, digital platforms, innovation, big data, and dynamic capabilities. Overlay mapping shows a clear temporal shift from foundational digitalization concepts toward more advanced themes such as sustainability, AI-driven strategies, and platform ecosystems. The co-authorship and country collaboration networks demonstrate strong research activity across Europe and Asia, led by Germany, the United Kingdom, China, India, and the Russian Federation. The study contributes by offering an integrated understanding of how global scholarship conceptualizes digital transformation within startup ecosystems and identifies future research pathways centered on AI, resilience, and sustainable digital innovation.
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