Abstract |
Satisfaction of consumer preferences is a key factor for the success of the products. Therefore, design mangers try to develop the profitable products through the intensive survey on the consumer preferences. Although the studies on the preferable product design and the design factors have long been carried out, most of these studies dealt only with the design factors preferable for individual product category ignoring the relationship of the product categories which are related to each other. For designers and design managers, in this study, we propose the guidelines of successful product development by finding preferred common and distinct design factors through analysis of the relations between the consumer preferences and design factors in various portable electric devices. To this end, we analyzed the preferred common and distinct design factors from portable electric devices including the electronic dictionaries, notebook computers, cellular phones, and MP3 players. We used hierarchical regression analysis for the effects of the design factors on the preferences among the product categories and regression analysis for the effects among each product category. The analysis on the preferred common design factors among the four product categories revealed that consumers did not care about the whole body type but preferred white color, metallic and glassy texture in the body. Also, the preferred design factors in the each product category are as follows; oval body shape and black color in electronic dictionaries, white color, metallic and glassy texture in notebook computers, plastic texture in cellular phones, rectangular body shape and plastic texture in MP3 players. In the case of notebook computers, the preferred common and distinct design factors were the same. We expect these results will be helpful for designers and design managers to identify the preferred design factors to consider when developing the various portable electric devices. |
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Key Words |
휴대용 전자기기, 소비자 선호, 디자인요소, 회귀분석, 계층적 회귀분석, portable electric devices, consumer preference, design factors, regression analysis, hierarchical regression analysis |
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