The Study of Customer Behavior through Buying Cosmetic Products for Designing the Knowledge Pack for Thai Cosmetic Sellers

Q3 Engineering Transactions on Electrical Engineering, Electronics, and Communications Pub Date : 2023-03-22 DOI:10.1109/ECTIDAMTNCON57770.2023.10139370

Hairui He, Pakinee Ariya

{"title":"The Study of Customer Behavior through Buying Cosmetic Products for Designing the Knowledge Pack for Thai Cosmetic Sellers","authors":"Hairui He, Pakinee Ariya","doi":"10.1109/ECTIDAMTNCON57770.2023.10139370","DOIUrl":null,"url":null,"abstract":"Due to COVID-19, traveling between China and Thailand is limited strictly. It's hard for Chinese customers to buy Thai cosmetic products in Thailand. This paper aims at providing some suggestions for Thai cosmetic sellers by designing a knowledge pack of marketing strategy. The FFF model (online customer behavior) will be used to design questions for the online questionnaire, questions are chosen by using IOC (Index of congruence) with 3 experts. Random sampling method will be used to collect raw data from 414 respondents via an online questionnaire platform. The raw data of all questions will be analyzed for different reports, and top-5 ranking questions will be analyzed in more detail to come up with suitable suggestions to solve these problems. Some strategies and the knowledge pack will be made to help cosmetic sellers have a better understanding of the Chinese market like Chinese customer behavior, important factors of Chinese customers' most concern, and strategy design based on price formulation, the online platform choosing, overseas logistics and new retailing.","PeriodicalId":38808,"journal":{"name":"Transactions on Electrical Engineering, Electronics, and Communications","volume":"11 1","pages":"90-95"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions on Electrical Engineering, Electronics, and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}

引用次数: 0

Abstract

Due to COVID-19, traveling between China and Thailand is limited strictly. It's hard for Chinese customers to buy Thai cosmetic products in Thailand. This paper aims at providing some suggestions for Thai cosmetic sellers by designing a knowledge pack of marketing strategy. The FFF model (online customer behavior) will be used to design questions for the online questionnaire, questions are chosen by using IOC (Index of congruence) with 3 experts. Random sampling method will be used to collect raw data from 414 respondents via an online questionnaire platform. The raw data of all questions will be analyzed for different reports, and top-5 ranking questions will be analyzed in more detail to come up with suitable suggestions to solve these problems. Some strategies and the knowledge pack will be made to help cosmetic sellers have a better understanding of the Chinese market like Chinese customer behavior, important factors of Chinese customers' most concern, and strategy design based on price formulation, the online platform choosing, overseas logistics and new retailing.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

顾客购买化妆品行为研究——为泰国化妆品销售商设计知识包

由于新冠肺炎疫情，中国和泰国之间的旅行受到严格限制。中国消费者在泰国很难买到泰国化妆品。本文旨在通过设计一个营销策略知识包，为泰国化妆品销售商提供一些建议。在线问卷将采用FFF模型(在线客户行为)来设计问题，问题由3位专家使用IOC (Index of congruence)来选择。采用随机抽样的方法，通过在线问卷调查平台收集414名受访者的原始数据。针对不同的报告，对所有问题的原始数据进行分析，对排名前5位的问题进行更详细的分析，提出合适的建议来解决这些问题。为了帮助化妆品卖家更好地了解中国市场，我们将制定一些策略和知识包，比如中国消费者的行为，中国消费者最关心的重要因素，以及基于价格制定、网络平台选择、海外物流和新零售的策略设计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Transactions on Electrical Engineering, Electronics, and Communications Engineering-Electrical and Electronic Engineering

CiteScore

1.60

自引率

0.00%

发文量