Validation of the wearable acceptability range scale for smart apparel

Abstract

Abstract The wearable acceptability range (WEAR) Scale has been a useful tool used in consumer behaviour and product development research to better identify the social acceptance of wearable devices. In this study, we aimed to introduce an extended WEAR Scale to the apparel field by (a) refining existing measurement items and (b) validating this scale for use with smart apparel. Using a quantitative research method, an online survey was conducted with a convenience sample of US consumers aged 18 years old and over. Total 663 usable data were obtained and used for the data analysis. NVivo, SPSS, and AMOS programs were used to perform (a) a content analysis of the open-ended questions to identify recurring phrases, (b) basic descriptive statistics, and (c) a structural equation model testing, here validating the WEAR Scale, respectively. A 4-factor, 15-item WEAR Scale validated for examining consumers’ acceptance of smart apparel. The four WEAR dimensions are smart apparel in relation to: (a) design and aesthetics (four items), (b) self-expression (four items), (c) consequences (three items), and (d) reflection (four items). The findings of this study show the importance of these dimensions for the social acceptance of smart apparel. Therefore, this scale will be useful for the practical application in the apparel industry by providing better understanding of various aspects that smart apparel should consider during the product design and development stage. The scale can also be integrated with other consumer behavioural concepts to develop an emerging theoretical framework for the studies on smart apparel. Limitations and implications for future research were also discussed.

Keywords

• Smart apparel
• Social acceptability
• Wearable technology
• Scale development