AI-Powered Platform Business Models: A Systematic Literature Review Of Digital Ecosystems For Sustainable Competitive Advantage

Abstract

This study aims to systematically review the evolution of AI-powered platform business models and their contribution to achieving sustainable competitive advantage in the era of digital ecosystems. Using the Systematic Literature Review (SLR) method following PRISMA guidelines, this research analyzes 100 peer-reviewed articles published between 2015–2025 from databases such as Scopus, ScienceDirect, and Web of Science. The inclusion criteria focus on studies discussing the integration of artificial intelligence (AI) into platform-based business models, digital innovation, and sustainability strategies. The results reveal three dominant themes: (1) the role of AI in value co-creation within digital ecosystems, (2) the transformation of business model architecture toward adaptive and data-driven platforms, and (3) the strategic alignment of AI capabilities to enhance long-term competitiveness and environmental sustainability. Furthermore, the findings highlight that firms leveraging AI-based decision systems and ecosystem collaborations tend to achieve higher agility and stakeholder trust. The study concludes that AI-powered platforms are not only enablers of digital transformation but also essential drivers of sustainable competitive advantage in the global digital economy. Future research is recommended to develop integrative frameworks linking AI governance, ethical design, and green innovation within platform ecosystems.