This paper aims to inform policy and research in the domain of tourism and hospitality on the role of innovation and entrepreneurship. The paper applies the review research methodology to collate, comprehend, and synthesise 139 papers selected through a standard procedure. Our findings show that innovation drives growth and value in new tourism and hospitality firms. The study examines external factors, particularly government policies, influencing industry stakeholders’ entrepreneurial orientation and the macroeconomic environment affecting entrepreneurial activities. It also highlights the importance of social entrepreneurship in industry innovation and sustainability. This article emphasises the importance of innovation and entrepreneurship in tourism and hospitality growth, value creation, and social and environmental issues.

The rapid evolution of artificial intelligence (AI) from expert systems and fuzzy logic to sophisticated technologies such as deep learning and big data analytics has transformed modern management practices. This study explores how AI-driven management practices can effectively bridge innovation, knowledge creation, and sustainable business practices, thereby contributing to long-term organizational growth and the achievement of the Sustainable Development Goals (SDGs). By employing a comprehensive review research technique and analyzing 1,377 articles from the Scopus database, this study uncovers critical themes, sub-themes, variables, and their interlinkages. The findings demonstrate AI’s transformative potential across diverse domains, including human resource management, consumer service management, strategic leadership, operational efficiency, and customer experience enhancement. This paper addresses the role of AI governance frameworks that prioritize ethical considerations such as accountability, transparency, privacy, and cybersecurity, while fostering innovation-oriented knowledge creation. Despite significant advancements, knowledge gaps remain in integrating AI with innovative business models to achieve sustainability objectives. The study concludes by offering research and policy recommendations to promote AI-driven innovations that are ethically sound, operationally efficient, and socially responsible. This work contributes to the discourse on AI’s role in enhancing knowledge systems and innovation processes, providing valuable insights for scholars, practitioners, policymakers, and business leaders.