AI and sustainable business model innovation: A systematic literature review
Anshuman Sharma, Maryam Khokhar, Yongrui Duan, Munaza Bibi, Renu Sharma, Bashir Muhammad
Abstract
In recent years, the increasing prominence of artificial intelligence (AI) and sustainable business models (SBM) has had a significant impact on various industries. Despite rapid development, the field remains fragmented, and the evolving concepts and analytical frameworks have led to a lack of unified understanding. Previous studies have mainly emphasized the technical aspects of AI and business models, often relegating sustainability to a secondary position. In addition, there is still uncertainty about the extent to which AI affects key sustainability indicators. To bridge these gaps, this study systematically reviews 170 articles and proposes two key contributions: First, it identifies and examines emerging trends in AI-driven sustainable business models (SBMs) and provides a structured overview of current research. Second, it proposes an integrative framework that integrates multiple perspectives on AI and sustainable business models, providing insights for addressing managerial challenges. By integrating existing knowledge, this study not only clarifies research gaps but also outlines a forward-looking agenda to deepen the understanding of the role of AI in shaping sustainable business practices.