Volume 20, Issue 1 And 1-2 (IJIEPR 2009)                   IJIEPR 2009, 20(1 And 1-2): 71-88 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Mahmudi J, Nalchigar S, Ebrahimi S B. Two DEA Models Employment in IS Project Selection for Iran Ministry of Commerce. IJIEPR 2009; 20 (1 and 1-2) :71-88
URL: http://ijiepr.iust.ac.ir/article-1-56-en.html
Two DEA Models Employment in IS Project Selection for Iran Ministry of Commerce
Jafar Mahmudi 1, Soroosh Nalchigar , Seyed Babak Ebrahimi
1- , Jmahmoodi@mporg.ir
Abstract:   (10818 Views)
Selection of an appropriate set of Information System (IS) projects is a critical business activity which is very helpful to all organizations. In this paper, after describing real IS project selection problem of Iran Ministry of Commerce (MOC), we introduce two Data Envelopment Analysis (DEA) models. Then, we show applicability of introduced models for identifying most efficient IS project from 8 competing projects. Then, in order to provide further insight, results of two introduced models are compared. It is notable that using basic DEA models -CCR and BCC- decision maker is not able to find most efficient Decision Making Unit (DMU) since these models identify some of DMUs as efficient which their efficiency scores equal to 1. As an advantage, the applied models can identify most efficient IS (in constant and variable return to scale situations) by solving only one linear programming (LP). So these models are computationally efficient. It is while using the basic DEA models requires decision maker to solve a LP for each IS.
Keywords: Data envelopment analysis, Information systems selection, Most efficient DMU
Full-Text [PDF 76 kb]   (3219 Downloads)    
Type of Study: Research | Subject: Other Related Subject
Received: 2009/11/29 | Published: 2009/05/15
Cited by [1] [PDF 96 KB]  (401 Download)
Add your comments about this article : Your username or Email:
CAPTCHA
Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.