The proposed Data Envelopment Analysis (DEA) model aims at creating a meaningful multiple criteria decision making platform for both national and international educators and educational administrators. The model compares the performance of each department in the School of Engineering at the University of Bridgeport with each other and with the School. In this regard, four independent DEA models are created, corresponding to the perspectives proposed by the Balanced Scorecard (BSC) approach. Data and case studies are provided to demonstrate the functionality of the proposed model
This article presents the results of a literature review in the national intellectual production, re...
Non-parametric methods for efficiency evaluation were designed to analyse industries comprising mult...
Non-parametric methods for efficiency evaluation were designed to analyse industries comprising mult...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
Due to the existence of free software and pedagogical guides, the use of Data Envelopment Analysis (...
Due to the existence of free software and pedagogical guides, the use of Data Envelopment Analysis (...
The educational process is characterized by multiple outcomes such as the achievement of academic re...
Data Envelopment Analysis (DEA) is a great approach used for measuring relative efficiencies and per...
Despite standard Data Envelopment Analysis (DEA) models having been widely used in assessing efficie...
AbstractAssessing the efficiency of universities is vital for effective allocation and utilization o...
Data Envelopment Analysis (DEA) is a recognised modern approach to the assessment of performance of ...
Today, the saying predominates better and better according to which a strong target rationalism has ...
Data envelopment analysis (DEA) is a popular technique used in measuring the performance of an indus...
This study explores data envelopment analysis (DEA) as a tool for assessing and benchmarking the per...
Non-parametric methods for efficiency evaluation were designed to analyse industries comprising mult...
This article presents the results of a literature review in the national intellectual production, re...
Non-parametric methods for efficiency evaluation were designed to analyse industries comprising mult...
Non-parametric methods for efficiency evaluation were designed to analyse industries comprising mult...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
Due to the existence of free software and pedagogical guides, the use of Data Envelopment Analysis (...
Due to the existence of free software and pedagogical guides, the use of Data Envelopment Analysis (...
The educational process is characterized by multiple outcomes such as the achievement of academic re...
Data Envelopment Analysis (DEA) is a great approach used for measuring relative efficiencies and per...
Despite standard Data Envelopment Analysis (DEA) models having been widely used in assessing efficie...
AbstractAssessing the efficiency of universities is vital for effective allocation and utilization o...
Data Envelopment Analysis (DEA) is a recognised modern approach to the assessment of performance of ...
Today, the saying predominates better and better according to which a strong target rationalism has ...
Data envelopment analysis (DEA) is a popular technique used in measuring the performance of an indus...
This study explores data envelopment analysis (DEA) as a tool for assessing and benchmarking the per...
Non-parametric methods for efficiency evaluation were designed to analyse industries comprising mult...
This article presents the results of a literature review in the national intellectual production, re...
Non-parametric methods for efficiency evaluation were designed to analyse industries comprising mult...
Non-parametric methods for efficiency evaluation were designed to analyse industries comprising mult...