Literature DB >> 35073437

Future value and direction of cosmetics in the era of metaverse.

Jinkyung Lee1,2, Ki Han Kwon3.   

Abstract

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 appeared in humans at the end of 2019 and caused a worldwide coronavirus disease-19 (COVID-19) pandemic. Our research is being conducted on consumers who are having difficulties in purchasing cosmetics due to the rapid change in non-face-to-face society due to COVID-19 on new normal period.
OBJECTIVES: This study technically investigates the customer experience of consumers in the cosmetic market on metaverse world, which has changed to a non-face-to-face era after COVID-19.
METHODS: It was written with reference to keywords such as "COVID-19," "non-face-to-face," "fandom marketing," "alpha generation," and "metaverse." This study was performed by searching on PubMed, Google Scholar, Scopus, and ResearchGate. A total of 378 papers were retrieved, of which 29 were successfully selected in this study.
RESULTS: It focused on the transformational change of the metaverse beauty market that will be led by the alpha generation after COVID-19. It was empirically analyzed targeting the alpha generation, who are users, to change the problems of users who test and purchase cosmetics face-to-face in the beauty market so that they can do fandom marketing and customer experience using metaverse in a non-face-to-face society.
CONCLUSION: As a result, this article is expected to be used as an important marketing material for new changes in the market on metaverse world by clearly identifying the needs of consumers in the cosmetic industry that have changed in the untact era.
© 2022 Wiley Periodicals LLC.

Entities:  

Keywords:  COVID-19; alpha generation; cosmetics; customer experience; metaverse

Year:  2022        PMID: 35073437     DOI: 10.1111/jocd.14794

Source DB:  PubMed          Journal:  J Cosmet Dermatol        ISSN: 1473-2130            Impact factor:   2.696


  1 in total

1.  A novel brain-controlled wheelchair combined with computer vision and augmented reality.

Authors:  Kaixuan Liu; Yang Yu; Yadong Liu; Jingsheng Tang; Xinbin Liang; Xingxing Chu; Zongtan Zhou
Journal:  Biomed Eng Online       Date:  2022-07-26       Impact factor: 3.903

  1 in total

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