Quality mining: a new approach for managing service quality Online publication date: Fri, 21-Oct-2022
by Behnam Khamoushpour; Abbas Sheikh Aboumasoudi; Arash Shahin; Shakiba Khademolqorani
International Journal of Productivity and Quality Management (IJPQM), Vol. 37, No. 2, 2022
Abstract: This study aims to propose a new approach for service quality improvement through simultaneous measurement of all data and indicators affecting service quality and related to each service along with each other, and to find the importance and relationship between these indicators and suggesting service quality improvement solutions. The proposed model named quality mining is based on data mining in service quality. As a case study, all the one-year services registered by the information technology service management (ITSM) system of a manufacturing company have been analysed. Clustering, correlation, and rule learner data mining methods have been used in the studied organisation. Findings indicated a direct relationship between the performance of the organisation and satisfaction regarding the services provided. The improvement suggestions presented for the studied organisation were related to the performance improvement of employees/functions. The factors affecting service quality were also determined.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Productivity and Quality Management (IJPQM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook