Penerapan Information Adoption Model Untuk Mengukur Pengaruh Electronic Word Of Mouth Terhadap Niat Beli Scarlett Whitening di Media Sosial Tiktok

Dedi Iskamto, Silfadila Zumarnis
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Abstract

Technological developments have increased from year to year, starting from the first industrial revolution technology 1.0 until now the ongoing revolution is named industry 4.0 by the World Economic Forum in 2016 which is called the digital era. The industrial revolution 4.0 involves all activities centered on the internet or often called the Internet of Things. TikTok has experienced a rapid increase where in 2022 it will be 61.3% of the total population and in 2021 it will be 38.7%. Based on these data, TikTok is the social media that has experienced the most rapid increase as the most active social media application in Indonesia. Scarlett Whitening is one of the most viewed brands on the Tiktok app. This study aims to better understand the effect of eWOM based on the TikTok application on Scarlett Whitening's purchase intention. To understand the impact of eWOM, I apply the information adoption model as a model that has been widely used in previous eWOM studies. Research using quantitative methods with the aim of this research is causal. Data collection used the non-probability sampling method with the convenience sampling type of 385 respondents using Scarlett. This study used a questionnaire data collection technique with a Likert scale and data analysis techniques using Partial Least Square Structural Equation Modeling (PLS-SEM) with the help of SmartPLS software.
应用信息采纳模型衡量电子口碑对斯嘉丽美白在嘀嗒社交媒体上的购买意向的影响
从第一次工业革命技术 1.0 开始,到现在正在进行的被世界经济论坛在 2016 年命名为工业 4.0 的革命,技术发展逐年增加,被称为数字时代。工业革命 4.0 涉及以互联网为中心的所有活动,或通常称为物联网。TikTok 经历了快速增长,2022 年将占总人口的 61.3%,2021 年将占 38.7%。根据这些数据,TikTok 是印尼增长最迅速的社交媒体,也是最活跃的社交媒体应用。斯嘉丽美白是 Tiktok 应用程序上浏览量最高的品牌之一。本研究旨在更好地了解基于 TikTok 应用程序的网络口碑对 Scarlett Whitening 购买意向的影响。为了解网络口碑的影响,笔者采用了信息采纳模型,该模型在以往的网络口碑研究中被广泛采用。使用定量方法进行研究,本研究的目的是因果关系。数据收集采用非概率抽样法,使用斯嘉丽对 385 名受访者进行便利抽样。本研究使用了利克特量表的问卷数据收集技术,并在 SmartPLS 软件的帮助下使用了偏最小平方结构方程模型(PLS-SEM)的数据分析技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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