A Study of Consumer Requirements on Leisure Clothing Design

• Main Authors: Ching-ChiTseng, 曾清旗
• Other Authors: Ming-Chyuan Lin
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/39335569713120091893

博士 === 國立成功大學 === 工業設計學系碩博士班 === 100 === Product design is a creative decision-making process that aims to satisfy human needs by releasing good products that can appropriately meet the preferential requirements of customers. In the development of new products, the designer must identify the preference and attitudes of customers toward certain products, ascertain the factors that make products popular in the market and devise optimum design plans for those products. Biking has become a popular activity due its contribution in maintaining health. Bicycle-related clothing is known to play an important role in comfort level and safety. Unfortunately, there is hardly any research or designs that consider customer preferences in the bicycle-related clothing design process. Many manufacturers mainly focus on the improvement of the material properties of clothes instead of clothing design to meet the customer requirements. Therefore, this study is to examine buying behavior of biking clothing, consumption lifestyle, and product preference and attitudes. The acquired information is then used to develop an objective and quantitative evaluation system to assist designers and users to carry out product simulation design. This study uses AIO (activity, interests and opinion) lifestyle scale to design the questionnaire. SPSS is used for descriptive statistics, cluster analysis of K-average method, factor analysis, AHP hierarchy analysis process, and regression analysis for consumers’ consumption lifestyle, needs, hidden consumers’ requirements, buying behavior, preferences and attitudes. This statistical information provides designers with an efficient approach to identify customer preferences and the lifestyle of consumer groups. Customer requirements are subsequently categorized through factor analysis, and critical requirement attributes are identified for conjoint analysis. Finally, conjoint analysis is used to obtain the optimal design combination for bicycle-related clothing that adheres to the preferences of customers.