메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject

A Study on Online Platform Service for the Popularization of Vegetarianism: Focusing on MZ generation
Recommendations
Search

채식 대중화를 위한 온라인 플랫폼 서비스 연구: MZ세대를 중심으로

논문 기본 정보

Type
Academic journal
Author
Seo-Yeon Park (홍익대학교 국제디자인전문대학원 디지털미디어디자인 전공) Kim Seung In (홍익대학교)
Journal
차세대컨버전스정보서비스학회 디지털예술공학멀티미디어논문지 디지털예술공학멀티미디어논문지 제10권 제2호 KCI Accredited Journals
Published
2023.6
Pages
209 - 219 (11page)
DOI
10.29056/jdaem.2023.06.07

Usage

cover
A Study on Online Platform Service for the Popularization of Vegetarianism: Focusing on MZ generation
Ask AI
Recommendations
Search

Abstract· Keywords

Report Errors
The purpose of this study is on online platforms for popularizing vegetarianism, and aims to propose domestic vegetarian-oriented lifestyle platform services through user experience analysis. Accordingly, the current status of platform services was investigated through a total of 6 domestic and overseas vegan online platforms, and the use of online platforms was evaluated based on the primary food purchase factor evaluation and Stephen P. Anderson's Creating Pleasurable Interface Model for MZ generation. Second, based on the questionnaire, in-depth interviews were conducted with 8 people who have been practicing vegetarianism for more than 6 months. As a result, it was found that there was a perception that vegetarian foods were healthy, and online platforms showed the highest satisfaction with functionality, but pleasurable showed the lowest satisfaction, indicating that services were needed to increase user satisfaction. Based on this, 4 improvement directions were derived and a vegetarian online platform service and food package were proposed. It is expected that this study will be used as a study on food development and online platform for vegetarians in the future.

Contents

No content found

References (0)

Add References

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Recently viewed articles

Comments(0)

0

Write first comments.