In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

Based on the data of listed companies at 285 cities prefecture level and above from 2003 to
2017, this paper empirically studies the impact of high-speed rail on enterprise innovation …

In this paper, the following research problem was addressed: Is DEA (Data Envelopment
Analysis) method a suitable alternative to Altman model in predicting the risk of bankruptcy …

This study deploys data envelopment analysis (DEA) to identify the appropriate variables for
the performance valuation of stocks. For this purpose, sixty-nine non-financial stocks of the …

In this study, we consider customer to be a company's crucial asset. In order to have a fast,
efficient decision-making process, it is vital that a customer relationship management (CRM) …

Purpose To identify sources of the success and failure of COVID-19 control measures and
develop best-practice public health policy in mitigating the spread of COVID-19, this paper …

In times of prolonged economic doldrums across the globe, multinational firms (MNFs)
offshoring blunders can undermine their competitiveness in the marketplace. To help the …

More and more enterprises hope to achieve cooperation and win–win. However, many
companies often have problems such as insufficient partner credit, which seriously affects …

In this paper, a generic process in which just-in-time (JIT) practices are changed into agility
indices, and agility indices are converted into performance measurement in supply chain …

Purpose An indiscreet strategy of offshoring from low-cost countries (LCCs) can do more
harm than good, since invisible supply chain risks may increase hidden costs and …