• Title/Summary/Keyword: AR fashion retail technology

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A Study on the Consumer Use Effect of AR Fashion Retail Technology: Moderating Effect of Technology Readiness (증강현실 패션 소매기술 특성의 소비자 사용효과에 관한 연구: 기술 준비도의 조절효과)

  • Park, Hyun-Hee
    • Fashion & Textile Research Journal
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    • v.21 no.6
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    • pp.730-742
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    • 2019
  • This study investigated the influence of the perceived characteristics of AR fashion retail technology on value co-creation and continued use intention. This study also examines the moderating role of technology readiness in the effects of the perceived characteristics of AR fashion retail technology on value co-creation. A total of 241 university students who had experience using AR fashion retail technology completed the questionnaire. The results were as follows. First, there were five factors in the perceived characteristics of AR fashion retail technology: presence, aesthetic attractiveness, ease of use, shopping usefulness, and perceived enjoyment. Second, aesthetic attractiveness, shopping usefulness, and perceived enjoyment had positive impacts on value co-creation. Third, value co-creation had a positive impact on continued use intention of AR retail technology. Fourth, there were significant differences in the effect of aesthetic attractiveness and shopping usefulness on value co-creation by the innovativeness dimension of technology readiness. Fifth, there was a significant difference in the effect of ease of use on value co-creation by the optimism dimension of technology readiness. The results of this study should provide guidance for marketers or retailers interested in the application of AR fashion retail technology in their stores.

An Analysis of ICT-Retail Convergence(IRC) and Consumer Value Creation (소비자 구매단계별 기술-유통 통합(IRC)과 가치에 대한 연구)

  • Park, Sunny;Cho, Eunsun;Rha, Jong-Youn;Lee, Yuri;Kim, Suyoun
    • Journal of Digital Convergence
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    • v.15 no.7
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    • pp.147-157
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    • 2017
  • Recently, ICT Retail Convergence(IRC) has been rapidly increasing to improve consumer satisfaction and consumer experience. In this paper, we aim to diagnose IRC from consumers' point of view by reviewing the present status and value of IRC according to consumer purchase decision making process. Based on the previous studies in retail industry, we classified IRC into 4 types: Experience-specific tech(Virtual Reality and Augmented Reality); Information-specific tech(Artificial Intelligence and Big Data); Location-based tech(Radio Frequency Identification and Beacon); Payment-related tech(Fin-tech and Biometrics). Next, we found that there is a difference in value provided to consumers according to the type of technology, analysing the value by consumer purchase decision making process. This study can be useful to introduce IRC for improving consumer satisfaction as well as ICT and Retail. Also, it can be basic data for future technology studies with a consumer perspective.