Network data envelopment analysis (DEA) concerns using the DEA technique to measure
the relative efficiency of a system, taking into account its internal structure. The results are …

This study surveys the data envelopment analysis (DEA) literature by applying a citation-
based approach. The main goals are to find a set of papers playing the central role in DEA …

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 …

Multimodal transport is an effective method to reduce the energy consumption and carbon
dioxide (CO 2) emissions in transportation sector. Evaluating the low-carbon performance is …

The Chinese high-tech industry has developed greatly since the beginning of China's
“National High-tech R&D (863) Program” and “China Torch Program”. This paper introduces …

In a relatively short period of time Data Envelopment Analysis (DEA) has grown into a
powerful quantitative, analytical tool for measuring and evaluating performance. It has been …

Abstract In about 30 years, Data Envelopment Analysis (DEA) has grown into a powerful
quantitative, analytical tool for measuring and evaluating the performance. DEA has been …

This paper proposes that data envelopment analysis (DEA) should be viewed as a method
(or tool) for data-oriented analytics in performance evaluation and benchmarking. While …

We evaluate the co-innovation trajectory of firms adopting different collaborative innovation
networks (ie, vertical, horizontal, and institutional). The results of the empirical applications …

Data envelopment analysis (DEA) is a method for measuring the efficiency of peer decision
making units (DMUs). An important area of development in recent years has been devoted …