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Despite extensive research on the relationship between financial inclusion and macroeconomic growth, little is known about the role of financial inclusion as a significant driver of macroeconomic growth in developing countries. Financial inclusion could boost sustainable macroeconomic growth, which has been a key policy goal for governments worldwide because it affects employment, population, inequality, and poverty. This study explores the influence of crucial financial inclusion indicators on developing countries' macroeconomic growth. The study shows that digital finance, financial technologies, financial outreach, financial literacy, demographics access to finance, microfinance and financial stability are the ways through which financial inclusion affects macroeconomic growth. We used the Scopus database to get information from 419 research articles and analyzed those to figure out how financial inclusion affected macroeconomic growth from 2006 to 2020. The study will help policymakers, governments, and marketers develop policies to involve everyone in the financial system, which results in macroeconomic growth.

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.