Kate Raworth's Doughnut Economy model offers a forward-looking lens through which national development can be re-evaluated beyond conventional GDP-centric thinking. This paper examines India's socio-economic and environmental performance through this dual-boundary framework, drawing on secondary data from organisations including the World Bank, UNDP, UNESCO, FAO, and Our World in Data. The central question explored is how effectively India is advancing toward Raworth's notion of a "safe and just...

Artificial Intelligence (AI) has shifted e-commerce competition from scale-and-supply to prediction-and-orchestration: who anticipates demand, reduces friction, protects trust, and personalizes value at the lowest marginal cost. This paper synthesizes secondary evidence from multilateral datasets, policy documents, market reports, and peer-reviewed research to analyze how AI changes measurable outcomes across the e-commerce value chain. Using a structured evidence-mapping method, the study integ...

Around the globe, various initiatives use the mobile phone to provide financial services to those without access to traditional banks. Yet relatively little scholarly research explores the use of these m banking, m-payments systems. This paper calls attention to this gap in the research literature, emphasizing the need for research focusing on the context(s) of m-banking m-payments use. Presenting illustrative data from exploratory work with small enterprises in urban India, it argues that conte...

The rise of artificial intelligence (AI), automation, and advanced language technology is rapidly transforming the value, scope, and expectations of English language proficiency in global job markets. This shift produces both anxiety and opportunity for learners and professionals. This book chapter explores empirical research on the employability threat confronting English language users, details the evolving requirements for language proficiency, examines anxiety among new graduates, and outlin...

The global digital infrastructure is currently facing a "perfect storm" of rising cyber threats and a critical workforce shortage estimated at 4.7 million pro-fessionals. Despite the increasing output of graduates, industry research indicates that only 25–30% of engineering graduates are considered "job-ready". This sys-tematic review evaluates current trends in using Machine Learning (ML) to auto-mate student assessment and bridge the employability gap. By surveying academ-ic databases and indu...