Purpose: The present study seeks to examine the efficacy of different training modalities on increasing workplace learning, representatives' intent to transfer what they learned into their work, and importantly how training impacts actual work performance. These relationships are tested in the...

Recent research shows that the annual average concentration and winter average concentration of PM2.5 in Chinese cities have exhibited a convergence trend since 2013. However, the urban air situation in China remains far from ideal. For an authoritative government, vertical environmental...

Recently, China's Ministry of Education has established a new department to regulate extracurricular tutoring for the purpose of reducing students' excessive academic burden. In this paper, we provide empirical evidence that academic competitiveness among students is a key driver of the...

Developing efective strategies to earn excess returns in the stock market is a cuttingedge topic in the feld of economics. At the same time, stock price forecasting that supports trading strategies is considered one of the most challenging tasks. Therefore, this study analyzes and extracts news...

Big data technology has revolutionized the research paradigm of economic forecasting regardless of the data source, forecasting method, or forecasting result. This study evaluates the current literature on economic forecasting using big data and employs bibliometric approaches to offer a...

The problem of designing a rebalancing algorithm for a large-scale ridehailing system with asymmetric (unbalanced) demand is considered here. We pose the rebalancing problem within a semi Markov decision problem (SMDP) framework with closed queues of vehicles serving stationary, but asymmetric...