We formulate weighted, dynamic network range-adjusted measure (DN-RAM) and dynamic network slacks-based measure (DN-SBM), run robustness tests and compare results. To the best of our knowledge, the current paper is the first to compare two weighted dynamic network DEA models and it also represents the first attempt at formulating DN-RAM. We illustrate our models using simulated data on residential aged care. Insight gained by running DN-RAM in parallel with DN-SBM includes (a) identical benchmark groups, (b) a substantially wider range of efficiency estimates under DN-RAM, and (c) evidence of inefficient size bias. DN-RAM is also shown to have the additional desirable technical efficiency properties of translation-invariance and acceptance ...
A new approach to the dynamic Data Envelopment Analysis (DEA) referred to as the adjusted dynamic DE...
Data Envelopment Analysis (DEA) is a mathematical programming approach to measure the relative effic...
One of the main challenging issues in the conventional data envelopment analysis (DEA) is ranking ef...
This workshop is supported by JSPS KAKENHI Grant Number 22310095 under the title “Theory and Applica...
Users of data envelopment analysis (DEA) often presume efficiency estimates to be robust. While trad...
This workshop is supported by JSPS KAKENHI Grant Number 22310097 under the title “Theory and Applica...
Network DEA models assess production systems that contain a set of network-structured subsystems. Ea...
Data envelopment analysis (DEA) is extensively adopted to evaluate the relative efficiencies of a gr...
The main motivation of this article is to illustrate dynamic network data envelopment analysis (DN-D...
A production network can be described as a collection of production processes performed by several i...
Data envelopment analysis (DEA) models assess decision-making units (DMUs), which directly convert m...
Abstract Network DEA provides a flexible way to customize DEA problems to specific applications. It ...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Abstract: In DEA, there are typically two schemes for measuring efficiency of DMUs; radial and non-r...
Conventional DEA models make no hypothesis concerning the internal operations in a static situation....
A new approach to the dynamic Data Envelopment Analysis (DEA) referred to as the adjusted dynamic DE...
Data Envelopment Analysis (DEA) is a mathematical programming approach to measure the relative effic...
One of the main challenging issues in the conventional data envelopment analysis (DEA) is ranking ef...
This workshop is supported by JSPS KAKENHI Grant Number 22310095 under the title “Theory and Applica...
Users of data envelopment analysis (DEA) often presume efficiency estimates to be robust. While trad...
This workshop is supported by JSPS KAKENHI Grant Number 22310097 under the title “Theory and Applica...
Network DEA models assess production systems that contain a set of network-structured subsystems. Ea...
Data envelopment analysis (DEA) is extensively adopted to evaluate the relative efficiencies of a gr...
The main motivation of this article is to illustrate dynamic network data envelopment analysis (DN-D...
A production network can be described as a collection of production processes performed by several i...
Data envelopment analysis (DEA) models assess decision-making units (DMUs), which directly convert m...
Abstract Network DEA provides a flexible way to customize DEA problems to specific applications. It ...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Abstract: In DEA, there are typically two schemes for measuring efficiency of DMUs; radial and non-r...
Conventional DEA models make no hypothesis concerning the internal operations in a static situation....
A new approach to the dynamic Data Envelopment Analysis (DEA) referred to as the adjusted dynamic DE...
Data Envelopment Analysis (DEA) is a mathematical programming approach to measure the relative effic...
One of the main challenging issues in the conventional data envelopment analysis (DEA) is ranking ef...