Volume 26, Issue 4 (IJIEPR 2015)                   IJIEPR 2015, 26(4): 287-309 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Esfahanipour A, Davari Ardakani H. A hybrid multicriteria approach for performance evaluation: the case of a holding company. IJIEPR 2015; 26 (4) :287-309
URL: http://ijiepr.iust.ac.ir/article-1-556-en.html
1- Amirkabir University of Technology , esfahaa@aut.ac.ir
2- Amirkabir University of Technology
Abstract:   (5691 Views)

In today’s competitive business situation, performance evaluation of firms is an extremely important concern of all the people who are typically stakeholders of the business game. In case of holding companies, this is a more important issue since the parent firm must permanently control the situation of its subsidiaries in their sectors to make appropriate investment decisions. This paper develops a multicriteria decision making (MCDM) approach for evaluating performance of firms considering financial and productivity criteria.. We adopt Fuzzy Analytic Hierarchy Process (FAHP) method to determine the relative importance of evaluation criteria, taking the vagueness and imprecision of human judgments into consideration. Then, we employ the Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) for ranking of firms. Afterward, this paper enjoys benefit of using Technique of Order Preference by Similarity to Ideal Solution (TOPSIS) to assess the validity of the obtained ranking results. Our approach was applied to a holding company listed in Tehran Stock Exchange (TSE) as a real case. The analysis of ranking results revealed advantages of combining these MCDM methods.

AWT IMAGE

Full-Text [PDF 357 kb]   (2609 Downloads)    
Type of Study: Research | Subject: Decision Analysis and Methods
Received: 2013/10/10 | Accepted: 2015/11/23 | Published: 2016/03/16

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.