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Statistical techniques for continuous improvement: a citizen's satisfaction survey
Purpose - The purpose of this paper is to propose a path analysis of data coming from a citizen's satisfaction survey to support decision makers in quality service improvement. In detail, the survey aims to measure citizen's satisfaction of an Italian local Public Administration regarding...
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Published in: | TQM journal 2010-04, Vol.22 (3), p.267-284 |
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creator | Cappelli, Lucio Guglielmetti, Roberta Mattia, Giovanni Merli, Roberto Francesca Renzi, Maria |
description | Purpose - The purpose of this paper is to propose a path analysis of data coming from a citizen's satisfaction survey to support decision makers in quality service improvement. In detail, the survey aims to measure citizen's satisfaction of an Italian local Public Administration regarding the "infant school (0-6 years) enrollment service".Design methodology approach - The survey represents an experimentation of an original model measuring customers' satisfaction toward on-line services. Some statistical methods to analyse a given dataset from different points of view are selected.Findings - Outcomes of descriptive statistics as well as of multivariate data analysis to summarize information variables are presented. A new multivariate statistical technique, Probabilistic Expert Systems (PES) (Cowell et al.), is proposed to simulate corrective actions (scenarios) and to suggest the best one for the service quality improvement.Originality value - The paper shows that statistical methods are able to support the decisional process because they allow the development of information (gathered from survey) into know-how. However, managers need to join together both statistical information and experience by means of a systematic method, in order to take effective decisions. |
doi_str_mv | 10.1108/17542731011035514 |
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source | ABI/INFORM Global; Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list); Alma/SFX Local Collection |
subjects | Attitude surveys Citizens Customer satisfaction Customer services Customer services quality Data analysis Decision making Economic models Economic statistics Economic theory Enrollments Information industry Information services Likert scale Marketing Multivariate analysis Organizational learning Public sector Quality management Quality of service Questionnaires Statistical methods Studies Total quality Variables |
title | Statistical techniques for continuous improvement: a citizen's satisfaction survey |
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