Influence live streaming TikTok to purchase intention of skincare products in Indonesia

Nova Winda Rajagukguk, Wulan Suwarno, Adilla Anggraeni
{"title":"Influence live streaming TikTok to purchase intention of skincare products in Indonesia","authors":"Nova Winda Rajagukguk, Wulan Suwarno, Adilla Anggraeni","doi":"10.11591/ijict.v13i1.pp80-90","DOIUrl":null,"url":null,"abstract":"TikTok Live Streaming accommodates the needs of sellers to be able to communicate two-way between sellers and buyers. A new type of online business called live streaming allows users to watch and make purchases. The host is the person who sells the goods during the live-streaming event, and the live streaming platform is the location where the live-streaming takes place. The purpose of this study is to further understand the factors that determine customer purchase intention through tiktok live streaming using the IAM model. In previous research, several variables in the IAM model have a positive correlation with purchase intention. This study aims to see the impact of adding one variable, namely perceived persuasiveness within the framework of the IAM model on purchase intention. This research aims to see the impact of adding one variable, perceived persuasiveness in IAM model framework on purchase intention. This study using the quantitative method was employed using partial least square structural equation modeling (PLSSEM). The SmartPLS 4.0 software was applied to examine the proposed model.","PeriodicalId":245958,"journal":{"name":"International Journal of Informatics and Communication Technology (IJ-ICT)","volume":"21 11","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Informatics and Communication Technology (IJ-ICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11591/ijict.v13i1.pp80-90","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

TikTok Live Streaming accommodates the needs of sellers to be able to communicate two-way between sellers and buyers. A new type of online business called live streaming allows users to watch and make purchases. The host is the person who sells the goods during the live-streaming event, and the live streaming platform is the location where the live-streaming takes place. The purpose of this study is to further understand the factors that determine customer purchase intention through tiktok live streaming using the IAM model. In previous research, several variables in the IAM model have a positive correlation with purchase intention. This study aims to see the impact of adding one variable, namely perceived persuasiveness within the framework of the IAM model on purchase intention. This research aims to see the impact of adding one variable, perceived persuasiveness in IAM model framework on purchase intention. This study using the quantitative method was employed using partial least square structural equation modeling (PLSSEM). The SmartPLS 4.0 software was applied to examine the proposed model.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
TikTok 直播对印度尼西亚护肤品购买意向的影响
TikTok Live Streaming 满足了卖家在卖家和买家之间进行双向交流的需求。一种名为 "直播 "的新型在线业务允许用户观看并进行购买。主持人是在直播活动中销售商品的人,直播平台是进行直播的地点。本研究的目的是利用 IAM 模型进一步了解决定客户通过 tiktok 直播购买意向的因素。在以往的研究中,IAM 模型中的几个变量与购买意向呈正相关。本研究旨在了解在 IAM 模型框架内添加一个变量(即感知说服力)对购买意向的影响。本研究旨在了解在 IAM 模型框架中添加一个变量,即感知说服力对购买意向的影响。本研究采用偏最小二乘法结构方程模型(PLSSEM)进行定量研究。本研究使用 SmartPLS 4.0 软件来检验所提出的模型。
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
自引率
0.00%
发文量
0
期刊最新文献
Review-based analysis of clustering approaches in a recommendation system Adaptive resource allocation in NOMA-enabled backscatter communications systems Navigating the cyber forensics landscape a review of recent innovations ChatGPT's effect on the job market: how automation affects employment in sectors using ChatGPT for customer service Predicting anomalies in computer networks using autoencoder-based representation learning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1