Service quality monitoring by performance indicators: a proposal for a structured methodology
by Fiorenzo Franceschini, Maurizio Galetto, Elisa Turina
International Journal of Services and Operations Management (IJSOM), Vol. 5, No. 2, 2009

Abstract: The evaluation of service quality is usually carried out using a suitable set of Performance Indicators (PIs). In general, the development of a proper set of PIs is a fundamental prerequisite to monitor organisation or process performances. Many conceptual models have been proposed in the literature. The question is how to make these models operative. This paper aims to describe a structured methodology to identify a set of PIs for service quality monitoring. First, the service is mapped in order to identify its main activities. Then, the Quality Function Deployment (QFD) methodology is applied. Relations between the service quality determinants and the corresponding indicators are established and analysed. The monitoring of a service often implies the definition of large PI sets. To make quicker indicators analyses and process anomalies identification, a subset of the most critical PIs is selected (Performance Dashboard). This subset is used for the earliest monitoring of the system. In this paper, different selection techniques are proposed and compared. The methodology has been experimentally tested on a Help Desk (HD) service. The obtained results are proposed and discussed.

Online publication date: Sun, 15-Feb-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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 Services and Operations Management (IJSOM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your 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