Title of article :
Providing a Pattern to Prioritize the Branches of Service Firms
Author/Authors :
Miri ، Mohsen Department of Industrial and Mechanical Engineering - College of Industrial Engineering - Islamic Azad University, Qazvin Branch , Omidvari ، Manouchehr Department of Industrial and Mechanical Engineering - College of Industrial Engineering - Islamic Azad University, Qazvin Branch , Sadeghi ، Ahmad Department of Industrial and Mechanical Engineering - College of Industrial Engineering - Islamic Azad University, Qazvin Branch
From page :
45
To page :
64
Abstract :
The purpose of this note is to show how some of the main results existing in the insurance service quality utilizing SERVQUAL scale and ANP model can be effectively used in scientifically ranking strategies instead of the traditional models, which is unfortunately more popular in ranking the branches of insurance companies. This approach is used to show how the ranking decisions changes as a function of service quality utilizing ANP model. This study evaluated the quality of services of DANA insurance company branches to measure policy holders’ views toward current level and expected level of quality. The standard questionnaire “SERVQUAL”, emphasizing on measuring the gap between the level of current and Expected quality was used and the proposed algorithm utilized the analytic network process (ANP), which allows measurement of the dependency among the quality dimensions, to rank the branches. The results showed difference between policy holders’ expectations and current level of quality of services in all dimensions of quality. The most outstanding gap was for responsiveness dimension and the least one was for empathy and also according to the ANP limit super matrix it was revealed that there was a significant difference between the proposed ranking approach and the traditional one.
Keywords :
ANP , insurance industry , service quality , decision making
Journal title :
Shiraz Journal of System Management
Journal title :
Shiraz Journal of System Management
Record number :
2523789
Link To Document :
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