Customer Satisfaction Analysis

The objective of this master thesis is to identify “key-drivers” embedded in customer satisfaction data. The data was collected by a large transportation sector corporation during five years and in four different countries. The questionnaire involved several different sections of questions and range...

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Bibliographic Details
Main Author: Funa, Laura
Format: Others
Language:English
Published: Linköpings universitet, Statistik 2011
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71707
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spelling ndltd-UPSALLA1-oai-DiVA.org-liu-717072013-01-08T13:34:17ZCustomer Satisfaction AnalysisengFuna, LauraLinköpings universitet, Statistik2011customer satisfaction analysisgame theoryShapley valuekano modellinghierarchical logistic regressioncanonical correlation analysisThe objective of this master thesis is to identify “key-drivers” embedded in customer satisfaction data. The data was collected by a large transportation sector corporation during five years and in four different countries. The questionnaire involved several different sections of questions and ranged from demographical information to satisfaction attributes with the vehicle, dealer and several problem areas. Various regression, correlation and cooperative game theory approaches were used to identify the key satisfiers and dissatisfiers. The theoretical and practical advantages of using the Shapley value, Canonical Correlation Analysis and Hierarchical Logistic Regression has been demonstrated and applied to market research. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71707application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic customer satisfaction analysis
game theory
Shapley value
kano modelling
hierarchical logistic regression
canonical correlation analysis
spellingShingle customer satisfaction analysis
game theory
Shapley value
kano modelling
hierarchical logistic regression
canonical correlation analysis
Funa, Laura
Customer Satisfaction Analysis
description The objective of this master thesis is to identify “key-drivers” embedded in customer satisfaction data. The data was collected by a large transportation sector corporation during five years and in four different countries. The questionnaire involved several different sections of questions and ranged from demographical information to satisfaction attributes with the vehicle, dealer and several problem areas. Various regression, correlation and cooperative game theory approaches were used to identify the key satisfiers and dissatisfiers. The theoretical and practical advantages of using the Shapley value, Canonical Correlation Analysis and Hierarchical Logistic Regression has been demonstrated and applied to market research.
author Funa, Laura
author_facet Funa, Laura
author_sort Funa, Laura
title Customer Satisfaction Analysis
title_short Customer Satisfaction Analysis
title_full Customer Satisfaction Analysis
title_fullStr Customer Satisfaction Analysis
title_full_unstemmed Customer Satisfaction Analysis
title_sort customer satisfaction analysis
publisher Linköpings universitet, Statistik
publishDate 2011
url http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71707
work_keys_str_mv AT funalaura customersatisfactionanalysis
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