Abstract
Frequently Customer Satisfaction (CS) surveys in services are carried
out with respect to body that supply different services articulated in different
contexts. These differences imply that CS surveys cannot be performed as a whole
at an agency level, but need to be articulated in specifically devoted sub-surveys
for each services. Differences of services and, often, also of customers, imply that
CS surveys make use of ad hoc questionnaires that are administered to
independent samples from different populations. Nevertheless, the goal of these
surveys is to obtain information not only to evaluate each service separately, but
also to obtain a valuation regarding the agency/firm as a whole. For this reason
it is often desirable to obtain a measure of CS to perform separate as well as
global CS evaluation. In this paper two different methods are considered to
analyze CS data coming from different populations with the aim to compare and
to pool CS measured at service level. By using data from an Italian Public
Service, this procedure is applied to analyse the users’ satisfaction with services
supplied.
| Lingua originale | Inglese |
|---|---|
| pagine (da-a) | 49-58 |
| Numero di pagine | 10 |
| Rivista | ELECTRONIC JOURNAL OF APPLIED STATISTICAL ANALYSIS: DECISION SUPPORT SYSTEMS AND SERVICES EVALUATION |
| Volume | vol 3 |
| DOI | |
| Stato di pubblicazione | Pubblicato - 2012 |
Keywords
- Customer satisfaction
- Rasch models
- concurrent calibration
- heterogeneity and dissimilarity index
- ordinal data
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