In emerging markets like Vietnam, where student borrowers often lack traditional credit histories, accurately predicting loan eligibility remains a critical yet underexplored challenge. While machine learning and deep learning techniques have shown promise in credit scoring, their comparative...

Purpose This research explores the moderating role of Enterprise Resource Planning (ERP) in (Business Model (BM) innovation by comparing two groups of Small and Medium-sized Enterprises (SMEs) that are still in the process of considering adoption of ERP or already have implemented ERP. In...

This paper assesses the explanatory power of the liquidity-risk-based pricing models relative to the Fama-French three-factor model (FF3) and the extensions to the FF3. We find that the liquidity-augmented capital asset pricing model (LCAPM) performs no worse but generally better than other...

This paper assesses the explanatory power of the liquidity-risk-based pricing models relative to the Fama-French three-factor model (FF3) and the extensions to the FF3. We find that the liquidity-augmented capital asset pricing model (LCAPM) performs no worse but generally better than other...

The research in this thesis has been undertaken to develop statistical tools for monitoring adverse events in hospitals that adjust for varying patient risk. The studies involved a detailed literature review of risk adjustment scores for patient mortality following cardiac surgery, comparison of...