KOREASCHOLAR

THE IMPACT OF DIGITAL FASHION MARKETING STIMULUS ON CONSUMER PURCHASE INTENTION: A COMPARATIVE ANALYSIS OF CHINESE AND KOREAN DATA

Junyue Mao, Xiaohong Xu, Jinghe Han, Eunju Ko
  • LanguageENG
  • URLhttp://db.koreascholar.com/Article/Detail/422638
Global Marketing Conference
2023 Global Marketing Conference at Seoul (2023.07)
p.514
글로벌지식마케팅경영학회 (Global Alliance of Marketing & Management Associations)
Abstract

The wide application of digital media technology in fashion shows has become the epitome of the development and innovation of today's fashion industry, enabling designers to break through the constraints of time and space, changing the performance of today's fashion shows, and making them present unprecedented new features. With the development of information technology, the integration of emerging digital technology and the fashion industry is accelerating. So far, separate studies have been carried out in various academic fields on the combination of Metaverse and NFT, but the current status and nature of relevant research are still incomplete. Furthermore, the current research on virtual fashion shows and NFT in China's apparel industry is limited. The purpose of this study is to investigate the influence of digital fashion marketing stimulation on consumer brand attitudes using the stimulation-organ-response (SOR) framework model. By analyzing 77 cases of virtual fashion shows in China, this study obtained antecedent variables and designed a research model. An online sample of 300 Chinese Gen Z consumers was collected and analyzed using SPSS and FSQCA. This research hopes to provide valuable information for the sustainable development of China's fashion industry, and to help Chinese fashion brands confirm the future market development direction of Metaverse and NFT.

Author
  • Junyue Mao(Yonsei University, Republic of Korea)
  • Xiaohong Xu(Yonsei University, Republic of Korea)
  • Jinghe Han(Beijing Institute of Fashion Technology, China)
  • Eunju Ko(Yonsei University, Republic of Korea)