• 제목/요약/키워드: Technology innovativenss

검색결과 3건 처리시간 0.015초

내재적 혁신성과 상품 관심이 특정 상품에 대한 소비자 혁신성에 미치는 영향 (Effects of Innate Innovativeness and Product Interest on Product-Specific Consumer Innovativeness)

  • 정인희;조윤진
    • Human Ecology Research
    • /
    • 제56권2호
    • /
    • pp.167-174
    • /
    • 2018
  • This study investigated consumer innovativeness by examining a relationship model of innate innovativeness, product interest, product-specific innovativenss, and actualized innovativeness for eight product items as well as observed gender differences in the variables. The eight product items for the survey were smartphones, movies, clothing, cars, skin care products/cosmetics, traveling, AI products, and books. An online survey was conducted in January 2018, and 400 responses from male and female consumers in their twenties and thirties, were analyzed using reliability test, descriptive statistics, regression, and ANCOVA. The positive effect of innate innovativeness and product interest on product-specific innovativeness, and positive effect of innate innovativeness and product-specific innovativeness on actualized innovativeness were confirmed. Product interest was found to have a stronger power on product-specific innovativeness than innate innovativeness. Gender differences in product interest, product-specific innovativeness, and actualized innovativeness were identified as hypothesized. Female consumer's clothing interest, clothing innovativenss, and actualized clothing innovativeness were higher than male consumers; in addition, male consumer's cars and AI interest, cars and AI innovativenss, and actualized cars and AI innovativeness were higher than female's. The controversial results that indicated the higher innate innovativeness of male consumers useful to further in-depth discussion and research. This study contributed to the theory construction of consumer innovativeness research areas and offered practical implications for new product launching and customer relationship management.

혁신기술수용모델(TAM)을 적용한 스마트 의류 구매의도 연구 (A Study on Consumers' Clothing Buying Intention Adopted By the Technology Acceptance Model)

  • 강경영;진현정
    • 한국의류학회지
    • /
    • 제31권8호
    • /
    • pp.1211-1221
    • /
    • 2007
  • This research investigates the effects of fashion innovativeness and technology innovativeness on the attitude and the buying intention of smart clothing. This study employs TAM(Technology Acceptance Model) proposed by Davis(1989) as a theoretical framework. Two hundred sixty-five respondents comprised a sample used to examine a structural model. The structural equation model using AMOS was performed to test hypotheses. Fashion innovativeness was found to affect perceived usefulness while technology innovativeness affected perceived ease of use. Perceived usefulness was found to influence attitude towards smart clothing. Perceived ease of use was also found to affect attitude towards smart clothing. The attitude towards smart clothing has a direct effect on the buying intention of smart clothing. In addition, this study revealed that employing TAM to investigate the adoption of smart clothing was appropriate. Lastly, implications of this research and suggestions for future studies were discussed.

소비자의 유행혁신성과 기술혁신성이 스마트 의류에 대한 태도와 구매의도에 미치는 영향 (Influences of Consumers' Fashion Innovativeness and Technological Innovativeness on Attitudes and Buying Intention toward Smart Clothing)

  • 강경영;진현정
    • 한국의류산업학회지
    • /
    • 제9권1호
    • /
    • pp.35-40
    • /
    • 2007
  • Smart Clothing is digital wear progressed from wearable computer that the function of clothing is unified with that of a computer to extend human ability in everyday life. To study consumers' perception and responses toward the Smart Clothing, this study tested the influence of fashion innovativeness and technological innovativeness on attitudes and buying intention related to the Smart Clothing. Data were collected through a survey with 256 male and female adults in age from 18 to 45 year old. The results of Pearson correlation analysis revealed that there was not a positive relationship between fashion innovativeness and technological innovativeness. Multiple regression analysis indicated that fashion innovativeness was a significant predictor of attitudes and buying intention regarding the Smart Clothing. In addition, respondents were classified into four groups according to the scores of their fashion innovativenss and technological innovativeness. A series of ANOVA and Duncan test were used to determine if significant differences existed among four groups. The group having high level of innovativeness on both fashion and technology had the most positive attitudes toward smart clothing. The individuals having cognitive experiences of the Smart Clothing had higher level of fashion innovativeness and more positive attitudes to it. Based on these findings, recommendations for the developer of Smart Clothing and future research are offered.