Design innovation is acquiring greater importance as consumers’ emotional needs grow ever greater and the cycle of technological innovation grows ever faster. Apple in particular led and strengthened this trend, achieving incomparable business success in the technology-driven electronics industry. However, although the importance of design innovation has increased, very little research has been done to explain the influence of design innovation on business success. This study aims to investigate the influence of design innovation attributes on perceptions, attitudes, and purchase intentions among designers and consumers. 408 designers and 464 consumers participated in an online survey that presented as stimuli four different smart watches. Design innovation attributes were evaluated based on the criteria of features, aesthetics, and ergonomics; consumer-perceived values were categorized as emotional, social, and functional. Regarding consumers attitudes, attitude toward product and attitude toward brand were measured separately. Overall results indicate that purchase intention among designers and consumers alike is influenced by their attitude toward product as well as brand. However, in the case of designers, these attitudes are most influenced by emotional value, while consumers are influenced by emotional as well as social values. Moreover, all three innovation attributes - namely, features, aesthetics, and ergonomics - affect designers’ perception of emotional value, but only aesthetics and ergonomics affect consumers’ emotional and social value. The study demonstrates three significant differences in the responses of designers and consumers. First, there is correlation of aesthetics and ergonomics to functional (price) value among designers, but not consumers. Second, there is correlation of functional (quality) value to attitudes toward product and brand for consumers, but much less or none at all for designers. Third, the influence of features on perception of emotional value is more pronounced among designers as compared to consumers. In conclusion, aesthetics and ergonomics are important design innovation attributes for consumers as well as designers, but the latter also attach significance to features. While perception of emotional as well as social value is important to consumers, designers consider only emotional value. It is anticipated that the relative importance of design innovation attributes will vary according to product categories and price ranges; therefore, further comparative studies will be meaningful in investigation of design innovation.

본 연구에서는 기존에 이용되었던 디자인 프로세스의 실증적 단점들을 극복할 수 있는 소비자 지향적인 방법론을 제안하였다. 즉, 기존의 디자이너 직관에 의한 디자인 속성 도출 방법과는 다르게, 디자인 속성을 규명하지 않은 상태에서 소비자들이 선호하는 제품의 중요 디자인 속성을 추출해 내는 소비자 관점의 디자인 속성 도출방법을 제시하였다. 실증분석에서는 구체적인 속성 규명을 요구하지 않는 PRETREE 모형을 활용하여 유무선 전화기를 대상으로 소비자 선호 기반 중요 디자인 속성을 도출하고 그 시사점을 제시하였다. PRETREE 모형은 심리학, 소비자학, 경영학분야에서 널리 활용되어 왔던 소비자 선택모형으로, 디자인분야에서도 주관적으로 치우칠 수 있는 디자인 평가를 계량화할 수 있는 새로운 분석방법으로 활용될 수 있을 것으로 기대된다.

The purpose of this study is to explore the applicability of QFD to product development of clothes by empirically applying it to development of a specific clothes, middle and elderly women’s formal knitwear. The voices of customers(VOCs) for formal knitwear was collected through in-depth interviews with 25 customers, shop masters, and designers. Also, questionnaires of which respondents were 230 customers were used to rank the importance of the items of VOC. A QFD team of 10 knitwear experts implemented the task of translating VOCs into design attributes and measuring the values of the relationships between VOCs and design attributes. Importance ranking of the items of design attributes was obtained based on Lyman’s method. The results of this study were as follows. First, the customer requirements for formal knitwear were classified into five dimensions, that is, symbolism, aesthetic, fitness, usefulness, and maintenance. Second, the descending order of the necessity of improving the quality was maintenance, aesthetic, fitness, usefulness, and symbolism. Third, three-staged design attributes were obtained as a result of translating of VOCs into design attributes. Lastly, the descending order of the importance of design attributes was “sorts of yarn”, “sorts of color jacquard”, “color”, “tone”, “ease”, etc.

해설판은 자기안내식 해설에서 흔히 이용되는 정보전달 매체로서 해설효과의 극대화를 위해서는 해설판과 이를 이용하는 탐방객에 대한 이해가 필요하다. 본 연구는 중요도-성취도 분석(Importance-Performance Analysis: IPA)을 이용하여 탐방객의 인구사회학적 특성과 방문행태에 따른 자기안내식 해설판의 주요 디자인 속성에 대한 현 관리상태의 평가를 통하여 보다 효과적인 해설판 관리를 위한 기초자료를 얻기 위해 시행되었다. 자료수집은 2003년 8-9월중 내장산 국립공원 내 자연관찰로 탐방객을 대상으로 한 설문조사를 통하여 이루어 졌으며, 총 276명의 응답이 본 연구의 분석에 이용되었다. 선정된 30개 속성에 대한 IPA 결과, 여성(23.3%)이 남성(13.3%)보다, 저연령층(43.3%)이 고연령층(0.0%)보다, 고학력 그룹(36.7%)이 저학력 그룹(0.0%)보다, 중그룹(33.3%)이 대그룹(10.0%)이나 소그룹(16.7%)보다, 아동동반 그룹(66.7%)이 아동부동반 그룹(20.0%)보다 더 많은 해설판 디자인 속성에 대하여 높은 중요도와 낮은 성취도를 보여 높은 '우선시정 필요(Concentrate Here: CH)' 항목율을 나타내는 것으로 조사되었다. 특히 아동동반 그룹은 가장 높은 '우선시정 필요(CH)' 항목율을 나타냈다. 본 연구의 결과는 다양한 탐방객을 고려한 해설판 다자인의 필요성을 시사하고 있다. 또한, 표준화된 해설판 디자인 항목의 개발을 통해서 자연관찰로의 해설판에 대한 IPA 및 여타 평가수행의 신뢰성과 효율성을 기대할수 있을 것이다.

The critical problem in dealing with multiple characteristics is how to compromise the conflict among the selected levels of the design parameters for each individual characteristic. In this study, First, Methodology using SN ratio optimized by univariate technique is proposed and a parameter design procedure to achieve the optimal compromise among several different response variables is developed. Second, to solve the issue on the optimal design for multiple quality characteristics, this study modelled the expected loss function with cross-product terms among the characteristics and derived range of the coefficients of the terms. The model will be used to determine the global optimal design parameters where there exists the conflict among the characteristics, which shows difference in optimal design parameters for the individual characteristics. Third, this paper propose a decision model to incorporates the values assigned by a group of experts on different factors in weighting decision of characteristic. Using this model, SN ratio of taguchi method for each of subjective factors as well as values of weights are used in this comprehensive method for weighting decision of characteristic.