Kano's model in Kansei Engineering to evaluate subjective real estate consumer preferences

被引:116
作者
Llinares, Carmen [1 ]
Page, Alvaro F. [2 ]
机构
[1] Univ Politecn Valencia, Higher Tech Sch Bldg Management, Valencia 46022, Spain
[2] Univ Politecn Valencia, Inst Biomech Valencia, Valencia 46022, Spain
关键词
Kano's model; Kansei Engineering; Subjective preferences; Housing design; Semantic differential; PRODUCT FORM DESIGN; EMPLOYEE SATISFACTION; CUSTOMER SATISFACTION; FUZZY-LOGIC; QUALITY; DIMENSIONS; ATTRIBUTES; PERCEPTION; INTERIOR; FACADES;
D O I
10.1016/j.ergon.2011.01.011
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Kansei Engineering is a product development tool used to identify users' perceptions and find quantitative relationships between their subjective responses and design features. This paper proposes the use of Kano's model in this process to analyse the impact of different subjective attributes on consumers' purchase decisions. A practical example of real estate promotions design is presented. In the first stage, semantic differential is used to measure the subjective component of the emotional state. In the second stage, regression analysis and Kano's model are used to define the relative weight of each emotional attribute in the purchase decision. Besides linear attributes, Kano's model identified two other kinds of attributes that present a non-linear performance: basic attributes and exciting attributes. Therefore linear models could underestimate the effect of such kind of attributes. Relevance to industry: This information is very relevant for architects and designers as it enables them to determine the extent to which they must direct their efforts at improving certain attributes with the object of improving the global evaluation. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:233 / 246
页数:14
相关论文
共 51 条
[1]   Architecture and engineering students' evaluations of house facades: Preference, complexity and impressiveness [J].
Akalin, Aysu ;
Yildirim, Kemal ;
Wilson, Christopher ;
Kilicoglu, Onder .
JOURNAL OF ENVIRONMENTAL PSYCHOLOGY, 2009, 29 (01) :124-132
[2]  
Akao Y., 1990, HIST QUALITY FUNCTIO
[3]  
[Anonymous], 1994, Statistical Factor Analysis and Related Methods, Theory and Applications
[4]  
[Anonymous], STEP BY STEP QFD COS
[5]  
Bergman B., 2004, Quality from Customer Needs to Customer Satisfaction
[6]   A kano-CKM model for customer knowledge discovery [J].
Chen, Yung-Hsin ;
Su, Chao-Ton .
TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE, 2006, 17 (05) :589-608
[7]  
Cohen L., 1995, QUALITY FUNCTION DEP
[8]   Determination of optimal product styles by ordinal logistic regression versus conjoint analysis for kitchen faucets [J].
Demirtas, Ezgi Aktar ;
Anagun, A. Sermet ;
Koksal, Gulser .
INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 2009, 39 (05) :866-875
[9]  
Flury B, 1988, COMMON PRINCIPAL COM
[10]  
Fusch R., 1986, GEOGRAPHY REV, V79, P324