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.

Purpose - The purpose of this study was to explore the impact of chatbots’ innovation attributes on the innovation acceptance for consumers who have used chatbots to purchase fashion products that account for a large share of transactions in mobile shopping. Research design, data, and methodology – Data were collected from Korean consumers aged 20 to 49 who had experience using chatbots when purchasing fashion-related products via mobile circumstances. After a pilot survey of 31 customers, pre-questionnaire was revised for the final test, and the final questionnaire was distributed to 1,500 subjects. Out of these, 244 were retrieved. After excluding 48 inappropriate responses, 196 were used for statistical analysis. Frequency analysis, exploratory factor analysis, one-way ANOVA, regression analysis and independent t-test using SPSS 23.0 were employed for data analyses. Results - First, four factors of chatbots’ attributes were extracted: relative advantages and compatibility, complexity, sensibility, and diversity. Second, two factors were extracted for fashion leadership: fashion opinion leadership and fashion innovativeness. Two groups based on the fashion leadership were identified: active innovation adopters and passive innovation adopters. Third, relative advantages and compatibility, diversity, sensibility of innovation attributes were found to have effects on the innovation acceptance in order. Fourth, significant differences were found in sensibility of innovation attributes and innovation acceptance in groups by marital status and age. The married in their 30s and 40s perceived sensibility as a more important attribute of chatbots than the unmarried in their twenties. Among the groups of different income levels, meaningful differences were found in diversity of innovation attributes and innovation acceptance. Fifth, there were significant differences found in relative advantages and compatibility, sensibility of innovation attributes, and acceptance of Innovation among the groups by fashion leadership. Active innovation adopters were found to be more aware of the importance of relative advantages and compatibility, and sensibility of innovation attributes, and innovation acceptance. Conclusions – The present study provides chatbots’ marketing strategies for fashion items need to be modified by demographic characteristics and fashion leadership. Particularly, fashion leadership was found to be an important factor in determining the perception of innovation attribute as well as innovation acceptance.

본 연구는 Rogers의 혁신확산이론에 근거하여, 혁신의 특성인 상대적 이익, 적합성, 시험가능성, 관찰가능성, 복잡성 등이 스마트기기 활용 수업의 수용의도에 미치는 영향과, 이와 관련하여 개인 혁신성은 어떤 조절효과를 보이는지 살펴보았다. 편의표집에 의해 서울․경기권 및 강원도 지역의 5개 대학을 선정하고 2017년도 2학기에 이 대학들의 교수학습지원(개발)센터에서 주관한 스마트 기기 활용 교수법 특강에 참여한 교수. 강사를 대상으로 설문지를 배부하였다. Rogers의 5개 특성 과 수용의도, 개인 혁신성 측정을 위한 척도를 구성하고 확인적 요인분석과 Cronbach’s Alpha 계 수로 측정도구의 타당도와 신뢰도를 검증하였다. 배경변인을 통제하고 5개 변인이 혁신의 수용의 도에 미치는 영향관계를 보기위해 위계적 회귀분석을 하였으며 조절효과를 검증하기 위해 개인 혁신성을 조절변인으로 하는 위계적 조절 회귀분석을 실시하였다. 연구 결과 상대적 이익과 적합 성, 복잡성은 수용의도에 유의한 영향을 미치는 것으로 나타났으나 관찰가능성과 시험가능성은 통 계적으로 유의한 영향을 미치지 않는 것으로 나타났다. 1단계 가설에서 기각된 관찰가능성과 시험 가능성을 제외하고 개인 혁신성의 조절효과를 분석한 결과 상대적 이익과 복잡성에서만 개인 혁 신성이 조절효과를 보이는 것으로 나타났다.