Based on upper echelon theory, we employ machine learning to explore how CEO characteristics influence corporate violations using a large-scale dataset of listed firms in China for the period 2010-2020. Comparing ten machine learning methods, we find that eXtreme Gradient Boosting (XGBoost)...

China is a major energy-consuming country, and changes in energy prices are of great importance to its economic performance and the lives of its residents. This study uses GSADF and SADF to verify the asset bubbles of crude oil (SC), power coal (ZC), and LPG and uses BSADF statistics to identify...

Problem definition: The cost of completing a line—a continuous variable—is typically studied indirectly through customers’ decisions to balk or renege from a queue—binary variables. However, these decisions only tell us whether a customer’s completion cost is above some (unknown)...

Purpose This study aims to analyze Chinese and Western visitors’ on‐line reviews of Shenzhen under five dimensions: catering, accommodation, transportation, travel and shopping. Design/methodology/approach This study used a multidimensional discourse analysis to assess visitors’...