Journal of Fashion Business (패션비즈니스)

The Korean Society of Fashion Business (한국패션비즈니스학회)
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Research on Intention to Adopt Smart Wear: Based on Extended UTAUT Model

스마트웨어 수용의도 연구: 확장된 UTAUT 모형을 중심으로

  • Sung, Heewon (Dept. of Clothing & Textiles and Research Institute of Natural Science, Gyeongsang National University) ;
  • Sung, Junghwan (Dept. of Clothing & Textiles and Research Institute of Natural Science, Gyeongsang National University)
  • 성희원 (경상대학교 의류학과 및 기초과학연구소) ;
  • 성정환 (경상대학교 의류학과 및 기초과학연구소)
  • Received : 2015.01.28
  • Accepted : 2015.04.28
  • Published : 2015.05.30
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Abstract

The objective of this study is to investigate the intention to adopt smart wear, based on extended UTAUT model. We examined the effects of performance expectancy (PE), effort expectancy (EE), hedonic motivation (HE), social influence (SI), facilitating conditions (FC), and price value (PV) on the intended adoption of smart watch and smart shoes, respectively. In addition, moderating effects of gender, age, and innovation resistance were examined. An online survey was conducted, comprised of 2030 consumers who were aware of smart watch or smart shoes. In total, 393 responses were analyzed. About 50.4% were male, and 44.8% were in their 20's. An exploratory factor analysis generated five factors - PE & HM, EE, SI, FC, and PV- which were employed as independent variables in the multiple regression models. PE & HM, PV, and SI influenced on the intention to use both smart devices. FC showed the significant effect only on the intention to adopt the smart watch. In terms of gender differences, SI and PV were the important predictors of the intention to adopt the smart watch in the female group only. With respect to age difference, SI was very effective in explaining the intention of individuals in their 30's to adopt smart wear. Among the low innovation resistance group, SI was significant predictor, while PE & HE and PV were significant among the high resistance group. The findings provide useful information about the possibility of the adoption of smart wear, and new insight into market segmentation.

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