AI-Augmented Mobile and Data-Driven Decision Making in Business: Mapping Global Research Trends for Decent Work, Economic Growth, and Innovation

Abstract

The paper on scientometric analysis contains the study about artificial intelligence (AI)- improved mobile and data-driven business decision-making and its impact on the Sustainable Development Goals (SDG 8: Decent Work and Economic Growth, and SDG 9: Innovation and Infrastructure). It is based on 2,443 articles in Scopus (2010–2025) and combines the metrics of performance, co-citation networks, and co-occurrence mapping of keywords to understand the intellectual basis and the research hotspots. The results show that the number of publications has been increasing since 2016, a sign of increasing application of AI and mobile systems in industry decision support. Based on the co-citation analysis, it identifies four intellectual clusters, including big data and analytics, smart cities, knowledge systems, and IoT infrastructures. The keyword analysis targets the cross-sectoral application of AI in business, healthcare, and digital governance. Since AI-guided mobile systems will enable making realtime, predictive, and inclusive decisions, the problems of data bias, ethical leadership, and digital disparities persist. The research creates awareness of the socio-technical systems theory and the theory of affordance, with the need for future research that combines interdisciplinary insights and explores Global South contexts and the actual application of AI-based decisions.