• Title/Summary/Keyword: mobile beauty app

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A Study on the Types of Product Review on Mobile Beauty App, Perceived Information Authenticity, Brand Attitude, Purchase Intention and e-WOM Intention (뷰티 모바일 앱에서의 제품 사용후기의 유형, 지각된 정보의 진정성, 브랜드 태도, 구매의도 및 온라인 구전의도에 대한 연구)

  • Chun, Eunha;Seok, HaeMin;Chung, Minjee;Ko, Eunju
    • Fashion & Textile Research Journal
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    • v.19 no.2
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    • pp.180-193
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    • 2017
  • The increase use of smartphones has paved the way for quick dissemination of online information. This has a huge influence on consumers' purchase decision making and the formation of a company's image. As such, this study focuses on product review from mobile beauty applications(apps); in particular, the perceived information authenticity. The purpose is as follows. First, to examine if there is any difference in perceived information authenticity based on the types of product review. Second, to analyze how perceived information authenticity influences brand attitude, purchase intention, and electronic word of mouth(e-WOM) intention. The study targets consumers in their 20s and 30s who have experience buying a product via a mobile beauty app. Three hundred responses are analyzed using SPSS 21.0 and AMOS 18.0. The results reveal that, first of all, consumers derive higher perceived information authenticity from a multi-facet review rather than a double-facet review. Second, among the traits of perceived information authenticity, only a brand's perceived reliability has a significant influence on brand attitude. Third, this brand attitude has a positive influence on purchase intention and e-WOM intention. In conclusion, these findings can serve as an important discussion point for companies developing a mobile beauty app, drawing attention to perceived information authenticity, based on the types of product review.

A Study on the Perceived Value and Intention of Use of Mobile Shopping Apps Using Value-Based Adoption Model (VAM) (가치기반수용모델(VAM)을 활용한 모바일 쇼핑 앱의 지각된 가치와 사용의도에 관한 연구)

  • Jhee, Seon Young;Kim, Mun-Ki;Han, Sang-Lin
    • Journal of Service Research and Studies
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    • v.14 no.2
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    • pp.101-116
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    • 2024
  • As the spread of smartphones has become more common and the utilization rate has increased, the mobile shopping market is also growing and expectations for related industries are also increasing. Mobile shopping apps are converging with various industries such as fashion, beauty, and lifestyle, and competition among companies to increase the number of users is intensifying with the activation of non-face-to-face. Accordingly, in this study, a study on the perceived value and intention to use mobile shopping apps was conducted based on a VAM. In order to test the hypothesis of this study, a questionnaire was conducted on 266 people who had used a mobile shopping app and it was used for analysis. Looking at the results, it was confirmed that both usefulness and enjoyment among the perceived benefit of mobile shopping apps have a positive (+) effect on the perceived value. However, it was found that the technicality and perceived risk among the perceived sacrifices of mobile shopping apps did not significantly affect the perceived value. Finally, it was confirmed that the perceived value of the mobile shopping app had a positive (+) effect on the intention to use. Through this study, we would like to examine the factors that can affect perceived value and usage intention in the mobile shopping app industry, which is increasingly competitive among companies along with the rapid growth of mobile technology and market, and suggest practical implications for related companies and officials to establish efficient strategies to further increase mobile shopping app users.

Gift-giving Behaviors via SNS Mobile App: An Exploratory Study of Fashion Products

  • Ji Yoon Kim;Jiyeon Lee;Kyu-Hye Lee
    • Journal of Fashion Business
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    • v.27 no.6
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    • pp.110-123
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    • 2023
  • As social distancing strengthened after the COVID-19 incident, people looked for things they could do alone. Additionally, as people have more financial resources, they purchase products they had previously considered purchasing, and the phenomenon of giving gifts to oneself has also appeared. Accordingly, this study analyzed fashion product reviews of KakaoTalk Gift, the service to exchange gift via SNS mobile app, to discover the phenomenon of self-gifting and the differences from interpersonal-gifting. For post-hoc data, in collected 18,354 pieces after excluding unnecessary data using a Python-based web crawling technique. The self-gifting behavior of KakaoTalk Gift different from the previous study for self-gift. Regardless of the gift-giving contexts, it determines that most self-gift products are material items. There are differences in product types and price levels when choosing gifts for others and oneself. As a self-gift, people typically buy luxury jewelry and branded bags/wallets to wear and show off. As interpersonal, among fashion products, people usually buy beauty products that reflect less personal tastes. When gift-giving to others, people buy products to appropriate prices to reduce the burden on both. When gift-giving to oneself, people buy wanted products regardless of the price. This study is significant because it suggests a new direction in self-gift research by limited online places to give gifts.

Development of Virtual Makeup Tool based on Mobile Augmented Reality

  • Song, Mi-Young;Kim, Young-Sun
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.1
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    • pp.127-133
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    • 2021
  • In this study, an augmented reality-based make-up tool was built to analyze the user's face shape based on face-type reference model data and to provide virtual makeup by providing face-type makeup. To analyze the face shape, first recognize the face from the image captured by the camera, then extract the features of the face contour area and use them as analysis properties. Next, the feature points of the extracted face contour area are normalized to compare with the contour area characteristics of each face reference model data. Face shape is predicted and analyzed using the distance difference between the feature points of the normalized contour area and the feature points of the each face-type reference model data. In augmented reality-based virtual makeup, in the image input from the camera, the face is recognized in real time to extract the features of each area of the face. Through the face-type analysis process, you can check the results of virtual makeup by providing makeup that matches the analyzed face shape. Through the proposed system, We expect cosmetics consumers to check the makeup design that suits them and have a convenient and impact on their decision to purchase cosmetics. It will also help you create an attractive self-image by applying facial makeup to your virtual self.