In our approach, a hybrid machine learning model is proposed which uses Enhanced Vector
Space Model (EVSM) along with Hybrid Support Vector Machine (HSVM) classifier. Initially …

We investigate differences in labor demand between German automotive firms specializing
in green propulsion technology and those with a focus on combustion engines. To this end …

The global spread of the pandemic, secure isolation regulations, logistical limitations, and
delays in reopening educational institutions such as colleges and universities have all had a …

Significant energy initiatives within the context of the “Belt and Road” are characterized by
substantial financial transactions, intricate technological complexities, and prolonged …

In the construction industry, the maintenance of heavy machinery, such as boom placers, is
critical to ensuring operational efficiency, safety, and cost-effectiveness. This research …

The main objective of this empirical study is to provide empirical evidence that allows
quantifying the impact of the supply chain on sustainable and firm performance during the …

To date, minimal literature is based on a systems perspective to examine the ecosystems of
the industrial chain and supply chain. To fill the gap, this study has employed a systems …