DocumentCode :
3423810
Title :
Linear Modelling and Optimization to Evaluate Customer Satisfaction and Loyalty
Author :
Faed, A. ; Hussain, Omar K. ; Faed, M. ; Saberi, Z.
Author_Institution :
Curtin Univ., Perth, WA, Australia
fYear :
2012
fDate :
9-11 Sept. 2012
Firstpage :
145
Lastpage :
150
Abstract :
In this study, a conceptual framework is postulated to mathematically evaluate and ascertain the hypothesised relationship that perceived value and interactivity has with customer dissatisfaction issues. Then, the relationship between customer satisfaction issues and loyalty and customer acquisition, will be tested to enhance customer satisfaction and loyalty. For the qualitative part of the research, an interview survey was conducted of 40 employees at the Fremantle port of Western Australia and the collected data was analysed using NVivo. In the second data collection phase, a survey questionnaire was distributed to 60 port customers. Using data envelopment analysis (DEA), the important and most important customers were selected from the sample. In the final stage, utilising linear modelling, a positive association between the variables was established. Our results illustrated that all of the antecedents and consequences of customer satisfaction issues positively affect the issues. All of the activities were conducted under i-CRM control.
Keywords :
customer satisfaction; data envelopment analysis; optimisation; personnel; DEA; Fremantle port; NVivo; customer acquisition; customer dissatisfaction issues; customer loyalty evaluation; customer satisfaction evaluation; customer satisfaction issues; data collection phase; data envelopment analysis; employees; hypothesised relationship; i-CRM control; linear modelling; optimization; port customers; Companies; Containers; Customer satisfaction; Data envelopment analysis; Mathematical model; Ports (Computers); Principal component analysis; Customer acquisition; Customer relationship management; Customer satisfaction; Data Envelopment Analysis; Linear modelling; Loyalty; Perceived value;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Business Engineering (ICEBE), 2012 IEEE Ninth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2601-8
Type :
conf
DOI :
10.1109/ICEBE.2012.32
Filename :
6468231
Link To Document :
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