Purpose - This paper aims to develop and validate a comprehensive scale for measuring consumer perceptions towards social commerce (S-Commerce). With the growing prominence of social media platforms in electronic commerce (e-commerce), understanding consumer perceptions and attitudes is...

We propose an observation-driven dynamic common factor model for missing value imputation in high-dimensional panel data. The model exploits both serial and cross-sectional information in the data and can easily cope with time-variation in conditional means and variances, as well as with either...

This study integrates the Logistics Performance Index (LPI), Worldwide Governance Indicators (WGI), and Human Development Index (HDI) through Multiple Factor Analysis (MFA) and hierarchical clustering to create a comprehensive perspective on global development. By clustering countries based on...

This paper explores the hypothesis that the returns of asset classes can be predicted using common, systematic risk factors represented by the level, slope, and curvature of the US interest rate term structure. These are extracted using the Nelson-Siegel model, which effectively captures the...