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
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;
Conference_Titel :
Service Systems and Service Management (ICSSSM), 2014 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-3133-0
DOI :
10.1109/ICSSSM.2014.6874079