Green entrepreneurship success in the age of generative artificial intelligence: The interplay of technology adoption, knowledge management, and government support

Abstract

This study investigates the integral role of generative artificial intelligence (GAI) in enhancing green entrepreneurship success, focusing on the interconnected dynamics of GAI adoption, green knowledge management, innovation, and government support. Despite the growing interest in GAI, existing research lacks an understanding of how GAI fosters green entrepreneurship success, particularly in green knowledge management and innovation pathways. Utilizing a robust theoretical framework grounded in resource orchestration and knowledge management theories, we examine the influence of GAI on acquiring and applying green knowledge and its subsequent impact on fostering green innovation. The study examines how government funding moderates these correlations. Employing PLS-SEM and fsQCA, the research elucidates complex interrelationships and causal paths. The findings reveal that GAI significantly enhances green knowledge management capabilities, which drives green innovation and entrepreneurship success. Additionally, government support plays a crucial role in amplifying these effects. This study contributes to technological change and social transformation discourse, offering practical insights for decision-makers and stakeholders in green entrepreneurship and policy-making.