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 …

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

The main goal of this paper is to clarify a few important aspects about the aggregation issues
in efficiency and productivity analysis. By doing so we also sketch a brief historical map on …

This study employs a data envelopment analysis (DEA) model with a single constant input to
analyze the competitiveness performance of a unique sample of 103 knowledge-intensive …

Determining energy productivity change during a time interval is an important issue in many
production lines. Data Envelopment Analysis (DEA) approach is a well-known technique …

Measuring the performance has become an important issue also in the cultural sector. In the
recent literature, in order to evaluate the performance of museums, Data Envelopment …

This study evaluates the quality of the digital platform economy at the global scale by
employing a network model rooted in nonparametric linear techniques (data envelopment …

Geometric mean index numbers are a multiplicative aggregation of (price or quantity) ratios
with their importance exponents/weights derived from one or more observed budget shares …

This study employs a Benefit-of-the-Doubt (BOD) weighting model that incorporates
information generated via a participatory method—ie, based on experts' opinion—to …

Most of the existing literature on the construction of composite indicator (CI) in the Benefit of
the Doubt (BoD) framework fails to consider the exogenous external (tangible or intangible) …