Information systems project prioritization using data envelopment analysis

Measuring The Performance of Information Systems Using Data Envelopment Analysis

This paper reviews the system of the evaluation methods for performance of information system (IS) and their deficiencies. Based on these, the feasibility and necessity to measure the performance from the input/output viewpoint are emphasized. Then, this paper introduces four basic models of data envelopment analysis and selects YMK-DEA and C 2 GS 2 -ISS models for the evaluation of performance...

Prioritization method for non-extreme ecient unitsin data envelopment analysis

Super eciency data envelopment analysis(DEA) model can be used in ranking the performanceof ecient decision making units(DMUs). In DEA, non-extreme ecient unitshave a super eciency score one and the existing super eciency DEA models do notprovide a complete ranking about these units. In this paper, we will propose a methodfor ranking the performance of the extreme and non-extreme ecient units.

Efficient location by using data envelopment analysis

So far, many types of location models have been developed to find optimal spatial patterns according to different spatial metrics such as cost, coverage and availability.  The initial focus of these models is on the location availability of service providers and demand estimates, and some of these models are within the framework of multi-objective programming models.  After the advent of scienc...

Failure Mode and Effects Analysis Using Data Envelopment Analysis

Benefit-cost analysis using data envelopment analysis

Benefit-cost analysis is required by law and regulation throughout the federal government. Robert Dorfman (1996) declares “Three prominent shortcomings of benefit-cost analysis as currently practiced are (1) it does not identify the population segments that the proposed measure benefits or harms (2) it attempts to reduce all comparisons to a single dimension, generally dollars and cents and (3)...