DocumentCode
1778766
Title
Classification of service quality elements based on Fuzzy Kano model: An empirical study in Chinese machinery industry
Author
Qingliang Meng ; Ling Zhang ; Lin He
Author_Institution
Sch. of Bus., Hunan Univ., Changsha, China
fYear
2014
fDate
25-27 June 2014
Firstpage
1
Lastpage
5
Abstract
Aiming at solving the subjectivity and uncertainty of service quality elements classification in Kano model and combining with fuzzy theory which is effective to cope with uncertainty and ambiguity, a Kano model based on fuzzy theory is proposed. This study will apply an approach of fuzzy questionnaires to modify Kano questionnaires which considered as subjective. Furthermore, this study will also develop a mathematical calculation performance according to the quality classification of fuzzy Kano model. It´s more objective than traditional Kano model to realize the service quality elements classification. With this method, the accurate mentality can be fully reasonable reflected in unknown circumstances. Finally, an empirical study in Xuzhou Construction Machinery Group Co., Ltd, the largest manufacturing industry in China, to testify its feasibility and validity.
Keywords
construction industry; fuzzy set theory; machinery production industries; pattern classification; quality of service; China; Chinese machinery industry; Xuzhou Construction Machinery Group Co Ltd; fuzzy Kano model; mathematical calculation performance; service quality element classification subjectivity; service quality element classification uncertainty; Business; Educational institutions; Machinery; Mathematical model; Numerical models; Psychology; Uncertainty; Kano model; fuzzy theory; service quality elements classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Systems and Service Management (ICSSSM), 2014 11th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-3133-0
Type
conf
DOI
10.1109/ICSSSM.2014.6874079
Filename
6874079
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