IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v37y2022i2p226-245.html
   My bibliography  Save this article

Quality mining: a new approach for managing service quality

Author

Listed:
  • Behnam Khamoushpour
  • Abbas Sheikh Aboumasoudi
  • Arash Shahin
  • Shakiba Khademolqorani

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.

Suggested Citation

  • Behnam Khamoushpour & Abbas Sheikh Aboumasoudi & Arash Shahin & Shakiba Khademolqorani, 2022. "Quality mining: a new approach for managing service quality," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 37(2), pages 226-245.
  • Handle: RePEc:ids:ijpqma:v:37:y:2022:i:2:p:226-245
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=126334
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijpqma:v:37:y:2022:i:2:p:226-245. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=177 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.