This study examines how UPI adoption between 2016 and 2025 has influenced cash usage and consumer spending patterns in India, highlighting changing payment habits, transaction frequency, and the continued importance of cash.
This study explores how Artificial Intelligence and Machine Learning can identify potential greenwashing in corporate ESG reporting through semantic similarity and sentiment analysis. Examining 12 sustainability reports across four companies, it highlights AI’s potential to strengthen disclosure transparency and credibility.
India’s rapid digital transformation has brought convenience, connectivity, and new opportunities—but it has also created growing challenges in cybersecurity and digital fraud.
Our research, **“Analysis of Cybercrime Laws and Rising Digital Fraud in India,”** examines the evolving landscape of cybercrime alongside India’s legal, regulatory, and institutional response.
With NCRB-registered cybercrime cases rising from 9,622 in 2014 to 101,928 in 2024, the study explores why effective enforcement requires more than legislation alone. Digital forensics, investigation quality, financial tracing, inter-agency coordination, and public awareness remain essential to addressing these threats.
The research connects legal provisions with real-world fraud patterns and the practical challenges of tackling cybercrime in India.
This study examines whether India-UAE non-oil trade gains after the 2022 CEPA reflect a genuine structural break or post-pandemic recovery. ITSA and DiD analyses show short-term disruption, sustained growth, technology-intensive expansion, and continuity of pre-existing momentum.
This study explores whether marine microbial changes can provide early warnings of climate-driven ecosystem disruption. By linking biological signals to fisheries, coastal livelihoods, and public policy, it examines their potential to strengthen climate adaptation and support more responsive, evidence-based decision-making.
This study examines how UNGA roll-call voting patterns can reveal emerging geopolitical alignments, using network analysis to identify clusters of states based on voting similarity, with Bangladesh as an illustrative case. It argues that such data are best read as an indicator of political proximity, not definitive evidence of geopolitical alliances.
This study tests whether machine-learning methods can detect greenwashing, using fifteen years of data from three carbon-intensive sectors. A consistent gap between reported performance and emissions emerges, yet disclosure-based prediction barely exceeds chance, suggesting credible detection requires integrating narrative analysis with independently verified operational evidence.
This study explores rural–urban disparities in online education in India, highlighting persistent barriers in internet access, device affordability, digital literacy, and institutional support. It emphasizes the need for inclusive digital infrastructure and affordable learning resources.
This study examines UNGA voting patterns to identify emerging geopolitical and issue-based alignments. Using network analysis alongside ASEAN and G77 case studies, it explores how voting convergence, economic interests, and institutional cooperation shape contemporary patterns of multilateral cooperation.
This study analyzes trade openness and growth in India, USA, China, and Russia (2000–2024) using the Gravity Model. Findings show economic size boosts trade potential, but institutional constraints, tariffs, and uneven WTO impacts shape actual outcomes.