Employers are adopting and refining artificial intelligence (AI) and algorithm-based tools in the workplace, with wide-ranging implications for work and employment. This working paper examines case studies of social dialogue on AI at national, regional, sectoral, company, and workplace levels in...

Purpose: This systematic review aims to critically evaluate the literature on the Generalized Bin Packing Problem (GBPP) and related problems, with an emphasis on their practical applications in logistics, manufacturing, and transportation.Design/methodology/approach: We reviewed recent papers...

Purpose: This paper aims to purpose a data-driven quality improvement (DDQI) framework for improving production quality by analyzing existing data using machine learning, data visualization, and correlation analysis. The objective is to predict optimal machine settings for different batches of...

This study examines the explanatory power of Fama-French models to find the optimal model and pointing out the critical factors applying the grid search cross-validation (GridSearchCV)-based support vector regression (SVR) and extreme gradient boosting (XGBoost) in the Pakistani Stock Market....