Abstract Data Envelopment Analysis (DEA) has emerged as a powerful analytical tool,
revolutionising the field of Operational Research (OR) and contributing to advancements in …

The purpose of this study is to investigate the impact of the COVID-19 epidemic on Indian
information technology enterprises using data from the 10 largest IT firms listed on the Nifty …

Data envelopment analysis (DEA) is a crucial method for assessing the efficiency of decision-
making units (DMUs). In practice, it is common to encounter situations where the …

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

Circular economy is beneficial to solve the conflict between the environment and
development. The study combines the material flow in human society with the evaluation of …

In this paper, a class of multiobjective interval optimization problems involving symmetrically
gH-differentiable functions is considered. A new kind of generalized convexity, symmetric LU …

The traditional super-efficiency data Enveloping analysis (DEA) model can further
distinguish the efficiency of efficient DMU. However, this distinction is unstable when there …

This research explores the integration needs and challenges for achieving green and smart
transformation in the port industry, leveraging multi-source data and geographic information …

Reeling from the global supply chain crisis created by the COVID-19 pandemic, the maritime
industry still faces multifaceted challenges for its sustainable survival. Those challenges …

The Pollutant emissions control and management of greenhouse gas play a fundamental
role in wasted energy mitigation in the energy and power plant sectors and transmission and …