Business model innovation enabled by artificial intelligence: Evidence from a systematic review

Abstract

The rapid emergence of artificial intelligence (AI) has had a profound impact on contemporary business practices worldwide. Organisations are increasingly transforming the ways in which they create, deliver, and capture value through the adoption of AI-enabled technologies, including automation, machine learning, predictive analytics, and natural language processing. This systematic literature review examines scholarly discourse on AI-driven business model innovation (BMI), with particular emphasis on studies indexed in the Scopus database. The review synthesises existing research to illustrate how AI interacts with other advanced digital technologies, such as cloud computing, blockchain, and the Internet of Things (IoT), in supporting the development of resilient and adaptable business ecosystems. Despite the significant opportunities associated with AI adoption, organisations continue to face substantial challenges relating to data integrity, organisational transformation, workforce reskilling, and regulatory compliance. This article provides a comprehensive examination of the influence of AI on business model innovation, the organisational and technological capabilities required for its effective implementation, and the ethical, financial, and legal challenges that organisations must address to successfully leverage AI.