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 …

Abstract Standard Data Envelopment Analysis (DEA) is used to evaluate the efficiency of
Decision Making Units (DMUs) and treats its internal structures as a “black box”. The aim of …

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 …

This chapter describes network DEA models, where a network consists of sub-technologies.
A DEA model typically describes a technology to a level of abstraction necessary for the …

This book presents the underlying theory, model development, and applications of network
Data Envelopment Analysis (DEA) in a systematic way. The field of network DEA extends …

A recent development in DEA (data envelopment analysis) examines the internal structure of
a system so that more information regarding sources that cause inefficiency can be …

This study uses the dynamic DEA model to evaluate inter-temporal efficiency for executive
efficiency based on fossil-fuel CO2 emissions in OECD countries and China. The significant …

The purpose of this paper is to measure productive efficiencies when a firm employs quasi-
fixed inputs that cannot be instantaneously adjusted to their optimal levels. To this end, data …

This paper proposes a dynamic data envelopment analysis (DEA) model to measure the
system and period efficiencies at the same time for multi-period systems, where quasi-fixed …

Conventional data envelopment analysis (DEA) models only consider the inputs supplied to
the system and the outputs produced from the system in measuring efficiency, ignoring the …