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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Linköpings universitet, Statistik
2011
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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 |
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English |
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Others
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customer satisfaction analysis game theory Shapley value kano modelling hierarchical logistic regression canonical correlation analysis |
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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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1716524255997329408 |