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 …

The strategic importance of performance evaluation of national R&D programs is highlighted
as the resource allocation draws more attention in R&D policy agenda. Due to the …

This study enhances the network-based approach, which is a novel method to increase
discrimination in data envelopment analysis. The enhancements include removing the bias …

Research funding is essential to expand knowledge, foster innovation, and address the
complex challenges that shape our future. The scientific literature has extensively addressed …

Applications of non-parametric frontier production methods such as Data Envelopment
Analysis (DEA) have gained popularity and recognition in scientometrics. DEA seems to be …

This study proposes a three-stage model of R&BD performance which captures
commercialization outcomes as well as conventional R&D performance. The model is …

In the present study, the authors propose DE (A) NN, an integration of data envelopment
analysis (DEA) and artificial neural networks (ANN) as a decision making tool. The …

The Korean government established 'the Act on Performance Evaluation and Management
for National Research & Development (R&D) Programs' in 2005, and one year later …

Since previous frameworks and methods for evaluation of national R&D have mainly
focused on short-term R&D outputs, long-term R&D outcomes have been neglected so that …

Purpose Deriving a measure of efficiency of public-funded organizations (primarily not-for-
profit organizations) and ranking these efficiency measures have been major subjects of …