Identify and Ranking factors influencing Supplementary Medical Insurance risk using Analytical network process (Case study: Khorasan Razavi Province Insurance Companies)

Marzieh Mohamadpour¹ Abdorreza Asadi² Alireza Davoodi³

1) Department of Mathematics and Statistics, University of
2) management group, Islamic Azad University,
3) management group, Islamic Azad University,

IOI Code : XYFH-BBGFE
Publication : 2nd International Conference On Management and Economics in 21 Century(icme21.com)
Abstract :
    State and commercial insurers difficulties in financing health care suppliers activities increases every day. High loss ratio in supplementary medical insurance compares to other areas or insurers activities indicates weakness in health insurance risk management process. this research aims to identify and ranking factors influencing supplementary medical insurance risk in order to perform better in managing risks of this area by utilizing this ranking and ultimately decreasing loss ratio. There fore is experts from four insurance companies in khorasan razavi province in iran are interviewed. The obtained data is analysed by analyctic network process (ANP). Theresults show that insurers, policyholders, government and environment are the four important critaria affecting supplementary medical insurance risk. Furthermore for each of these critaria a group of sub-critaria and for each sub-critaria a group of options are identified and all criteria, sub-criteria and options are ranked. The results indicate that insurer is the most important criterion followed by policyholders, government and environment respectively. The results of this research which identifies and ranks the most important eritaria in Supplementary medical insurance risk management helps insurance companies to better manage supplementary medical insurance risk to decrease insurance policy loss ratio and inturn increase the quality and quantity or insurance serrices and policy holders satisfaction.

Keywords : supplementary medical insurance risk delphi thechnique analytical network process(anp)