A Comparative Study of the Artificial Neural Networks and Regression Model in Evaluation of Library Service Quality: The Case of Yazd University libraries

Service quality is one of the most important performance indicators in organizations. Therefore lots of methods are developed by researchers for assessing proper service quality. Most of them use statistical methods for measuring and analyzing service quality. In this research neural network method is introduced as preferable method in library service quality. results from a case study showed that not only neural network method make less error that regression, but also present better ranking for independent variables based on their affect on dependent variable.