Journal of Decision Engineering
Volume 2, Issue 8 (9-2019)
2019, 2(8): 7-32 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Amiri M, IMANI R. ranking the branches of Insurance using Confirmatory Factor Analysis and MCDM Methods (A Case Study of Parsian Insurance Company). Journal title 2019; 2 (8) :7-32
URL: http://jde.khu.ac.ir/article-1-98-en.html
URL: http://jde.khu.ac.ir/article-1-98-en.html
RAJA UNI
Abstract: (2243 Views)
| Insurance companies are one of the most important economic institutions in each country and support other economic institutions and their proper functioning has a significant role in boosting the economy. The purpose of this research is Ranking the branches of Parsiyan Insurance Companys using CFA and MCDM Methods. The sample used, includes 30 Parsian Insurance Branches. Also, experts in the insurance industry have been surveyed in terms of extracting rating and valuation criteria. In the first step, similar studies were reviewed and with the help of experts, 29 effective indicators were developed in the framework of a balanced scorecard. These indicators were reduced to 15 final indicators by using a CFA in four dimensions of the balanced scorecard including financial, customer, internal processes, and growth and learning. Then, with the help of the ANP, the indicators are weighed and finally branches are ranked by the PROMETHEE method. According to the results of the research, two dimensions of customer and financial are more important. Also, the two indices of the share premium of the subsidiary and the operating profit of the branch relative to the whole company have a major role in the growth of insurance branches. The two branches AC027 and AC030 rank first and second |
Type of Study: Applicable |
Subject:
General
Received: 2018/07/28 | Accepted: 2018/12/31 | Published: 2019/09/14
Received: 2018/07/28 | Accepted: 2018/12/31 | Published: 2019/09/14
References
1. Chen, S. Y., and Lu, C. C. (2014). "Assessing the competitiveness of insurance corporations using fuzzy correlation analysis and improved fuzzy modified TOPSIS". Expert Systems, 3, 392-404. doi:10.1111/ exsy.12099. [DOI:10.1111/exsy.12099]
2. Eilat, H., Golany, B., Shtub, A., (2008). "R&D project evaluation: An Integrated DEA and balanced scorecard approach". OMEGA, Vol. 36. pp. 895-912. [DOI:10.1016/j.omega.2006.05.002]
3. Kaplan, R. S. and Norton, P. D. (2007). "Using the balanced scorecard as a strategic management system". Harvard Business Press, Vol. 85, pp. 1-14.
4. Kazemi, M. And Farajzadeh, S.(2016). "Application of combinational approach of FAHP and PROMETHEE in the insurance branches ranking". International Journal of Procurement Management, Vol. 9, pp. 548-567. [DOI:10.1504/IJPM.2016.078691]
5. Ksenija, K, Boris, D, Snezana, K and Sladjana, B. (2017). "Analysis of the efficiency of insurance companies in Serbia using the fuzzy AHP and TOPSIS methods". Economic Research-Ekonomska Istrazivanja, Vol. 30, pp. 550-565. [DOI:10.1080/1331677X.2017.1305786]
6. Marr, B. Schiume, G. (2003). "Business performance management: Past, Present and future". management decision, Vol. 41, pp. 680-687. [DOI:10.1108/00251740310496198]
7. Yang, Z. (2006). "A two-stage DEA model to evaluate the overall performance of Canadian life and health insurance companies". Mathmatical and Computer Modelling, Vol. 43, pp. 910-919. [DOI:10.1016/j.mcm.2005.12.011]
Send email to the article author
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |